| 2020 | "I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. Mathieu Seurin, Philippe Preux, Olivier Pietquin |
| 2020 | 1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications. Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Arcangelo Ranieri Bruna, Valeria Tomaselli, Francesco Carlo Morabito |
| 2020 | 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 |
| 2020 | 2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays. Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa |
| 2020 | 3D Human Pose Estimation based on Center of Gravity. Hao Xu, Suping Wu |
| 2020 | 3D Memristor Crossbar Architecture for a Multicore Neuromorphic System. B. Rasitha Fernando, Yangjie Qi, Chris Yakopcic, Tarek M. Taha |
| 2020 | 3D Point Cloud Feature Explanations Using Gradient-Based Methods. Ananya Gupta, Simon Watson, Hujun Yin |
| 2020 | A 3D Convolutional Neural Network for Emotion Recognition based on EEG Signals. Yuxuan Zhao, Jin Yang, Jinlong Lin, Dunshan Yu, Xixin Cao |
| 2020 | A BERT-based Approach with Relation-aware Attention for Knowledge Base Question Answering. Da Luo, Jindian Su, Shanshan Yu |
| 2020 | A Bayesian perspective on classical control. Manuel Baltieri |
| 2020 | A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution. Akihiro Matsufuji, Haruka Sekino, Eri Sato-Shimokawara, Toru Yamaguchi |
| 2020 | A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning. Wenyue Hu, Aimin Zhou, Guixu Zhang |
| 2020 | A Co-Training-based Algorithm Using Confidence Values to Select Instances. Karliane M. O. Vale, Flavius L. Gorgônio, Yago N. Araújo, Arthur C. Gorgônio, Anne Magály de Paula Canuto |
| 2020 | A Comparative Study of Classifiers for Thumbnail Selection. Kyle Pretorious, Nelishia Pillay |
| 2020 | A Comparative Study of Time and Frequency Domain Approaches to Deep Learning based Speech Enhancement. Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings |
| 2020 | A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh |
| 2020 | A Comparison of GANs-Based Approaches for Combustor System Fault Detection. Rui Xu, Weizhong Yan |
| 2020 | A Computational Intelligence Characterization of Solar Magnetograms. Julio J. Valdés, Ljubomir Nikolic, Simone Disabato, Manuel Roveri |
| 2020 | A Computational Model for Latent Learning based on Hippocampal Replay. Pablo Scleidorovich, Martin Llofriu, Jean-Marc Fellous, Alfredo Weitzenfeld |
| 2020 | A Continuous Restricted Boltzmann Machine and Logistic Regression Framework for Circuit Classification. Leandro Maia Silva, Fabrício Vivas Andrade, Luiz Filipe Menezes Vieira |
| 2020 | A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia. Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito |
| 2020 | A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. Mashud Rana, Ashfaqur Rahman, Jiong Jin |
| 2020 | A Deep Model for Joint Object Detection and Semantic Segmentation in Traffic Scenes. Jizhi Peng, Zhixiong Nan, Linhai Xu, Jingmin Xin, Nanning Zheng |
| 2020 | A Deep Transfer Learning Approach for Fake News Detection. Tanik Saikh, Haripriya B., Asif Ekbal, Pushpak Bhattacharyya |
| 2020 | A Developer Recommendation Method Based on Code Quality. Matheus Camilo da Silva, André Armstrong Janino Cizotto, Emerson Cabrera Paraiso |
| 2020 | A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits. Alessandro G. Di Nuovo |
| 2020 | A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth |
| 2020 | A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Joyjit Chatterjee, Nina Dethlefs |
| 2020 | A Dynamic-Attention on Crowd Region with Physical Optical Flow Features for Crowd Counting. Qian Wang, Wenxi Li, Songjian Chen, Rui Feng |
| 2020 | A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macedo, Byron Leite Dantas Bezerra, Cleber Zanchettin |
| 2020 | A Feature Ensemble-based Approach to Malicious Domain Name Identification from Valid DNS Responses. Chen Zhao, Yongzheng Zhang, Yipeng Wang |
| 2020 | A Feature Learning based Technique to Classify Medline Disease Abstracts. Hisham Al-Mubaid, Andrew Nash |
| 2020 | A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments. Xiaoxiao Li, Sheng Bi, Yongxing Wang, Min Dong, Zhangshao Chen |
| 2020 | A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena |
| 2020 | A Framework for the Analysis of Deep Neural Networks in Aerospace applications using Bayesian Statistics. Yuning He, Johann Schumann |
| 2020 | A GAN-based Domain Adaptation Method for Glaucoma Diagnosis. Yunzhe Sun, Gang Yang, Dayong Ding, Gangwei Cheng, Jieping Xu, Xirong Li |
| 2020 | A Gated Recurrent Unit based Echo State Network. Xinjie Wang, Yaochu Jin, Kuangrong Hao |
| 2020 | A Guided Learning Approach for Generative Adversarial Networks. Sidhant Nagpal, Siddharth Verma, Shikhar Gupta, Swati Aggarwal |
| 2020 | A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation. Alexander Rast, Mahyar Shahsavari, Graeme M. Bragg, Mark Vousden, David B. Thomas, Andrew D. Brown |
| 2020 | A Hybrid 3DVar-EnKF Data Assimilation Approach Based on Multilayer Perceptron. Lilan Huang, Hongze Leng, Junqiang Song, Juan Zhao, Rui Chen, Dongzi Wang |
| 2020 | A Hybrid CNN-LSTM Architecture for Detection of Coronary Artery Disease from ECG. Rohan Banerjee, Avik Ghose, Kayapanda M. Mandana |
| 2020 | A Hybrid Context-aware Framework to Detect Abnormal Human Daily Living Behavior. Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat |
| 2020 | A Hybrid Firefly Algorithm Based on Orthogonal Opposition. Yingying Ge, Jun Li, Chenying Meng |
| 2020 | A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata. Hui Shi, Wei Ma, Xiaoliang Zhang, Junyan Jiang, Yanbing Liu, Shujuan Chen |
| 2020 | A Large-Scale Mapping Method Based on Deep Neural Networks Applied to Self-Driving Car Localization. Vinicius B. Cardoso, André Seidel Oliveira, Avelino Forechi, Pedro Azevedo, Filipe Wall Mutz, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza |
| 2020 | A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions. Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen |
| 2020 | A Light-Weight Crowdsourcing Aggregation in Privacy-Preserving Federated Learning System. Ke Zhang, Siu-Ming Yiu, Lucas Chi Kwong Hui |
| 2020 | A Light-weight Deep Feature based Capsule Network. Chandan Kumar Singh, Vivek Kumar Gangwar, Anima Majumder, Swagat Kumar, Prakash Chanderlal Ambwani, Rajesh Sinha |
| 2020 | A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System. Wei Hong Chin, Nuo Wi Noel Tay, Naoyuki Kubota, Chu Kiong Loo |
| 2020 | A Long Short Term Memory Deep Learning Network for the Classification of Negative Emotions Using EEG Signals. Divya Acharya, Shivani Goel, Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj |
| 2020 | A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |
| 2020 | A Modular Framework to Predict Alzheimer's Disease Progression Using Conditional Generative Adversarial Networks. Shoumik Roychowdhury, Shounak Roychowdhury |
| 2020 | A Multi-Population FA for Automatic Facial Emotion Recognition. Kamlesh Mistry, Baqar Rizvi, Chris Rook, Sadaf Iqbal, Li Zhang, Colin Paul Joy |
| 2020 | A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation. Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Yuqi Peng |
| 2020 | A Muscle-Reflex Model of Forelimb and Hindlimb of Felidae Family of Animal with Dynamic Pattern Formation Stimuli. Azhar Aulia Saputra, Wei Hong Chin, Auke Jan Ijspeert, Naoyuki Kubota |
| 2020 | A Neural Network Toolbox for Electricity Consumption Forecasting. Jaroslaw Protasiewicz |
| 2020 | A Neural Network-Based Driver Gaze Classification System with Vehicle Signals. Simone Dari, Nikolay Kadrileev, Eyke Hüllermeier |
| 2020 | A Neurobiological Schema Model for Contextual Awareness in Robotics. Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar |
| 2020 | A New Methodology for Classifying QRS Morphology in ECG Signals. Weslley L. Caldas, João P. V. Madeiro, César Lincoln C. Mattos, João Paulo Pordeus Gomes |
| 2020 | A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation. Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma |
| 2020 | A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. Toshi Sinha, Brijesh K. Verma |
| 2020 | A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. Samuele Cornell, Emanuele Principi, Stefano Squartini |
| 2020 | A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. Aldísio Gonçalves Medeiros, João P. B. Andrade, Paulo Bruno S. Serafim, Alexandre M. M. Santos, José G. R. Maia, Fernando Antonio Mota Trinta, José A. F. de Macêdo, Pedro P. R. Filho, Paulo A. L. Rego |
| 2020 | A Novel Blending Hilbert -Kolmogorov Approach for Epileptic Seizures detection. Ahmed Adda, Hadjira Benoudnine |
| 2020 | A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis |
| 2020 | A Novel Design Method of Multi-Compartment Soma-Dendrite-Spine Model having Nonlinear Asynchronous CA Dynamics and its Applications to STDP-based Learning and FPGA Implementation. Masato Ishikawa, Hiroyuki Torikai |
| 2020 | A Novel Ensemble Representation Framework for Sentiment Classification. Mengtao Sun, Ibrahim A. Hameed, Hao Wang |
| 2020 | A Novel Self-Organizing Emotional CMAC Network for Robotic Control Juncheng Zhang, Quanfeng Li, Xiang Chang, Fei Chao, Chih-Min Lin, Longzhi Yang, Tuan-Tu Huynh, Ling Zheng, Changle Zhou, Changjing Shang |
| 2020 | A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. Hongxin Xiang, Ting Zeng, Yun Yang |
| 2020 | A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. Callum Wilson, Annalisa Riccardi, Edmondo A. Minisci |
| 2020 | A Novel way of Training a Neural Network with Reinforcement learning and without Back Propagation. James Lindsay, Sidney Gigivi |
| 2020 | A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing. Paulo Lacerda, José González, Nazareth Rocha, Flávio Luiz Seixas, Célio Albuquerque, Esteban Clua, Aura Conci |
| 2020 | A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications. Sumit Hazra, Priyankar Roy, Anup Nandy, Rafal Scherer |
| 2020 | A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu |
| 2020 | A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. Simone Disabato, Alessandro Falcetta, Alessio Mongelluzzo, Manuel Roveri |
| 2020 | A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals. Essam Soliman Debie, Nour Moustafa, Monica T. Whitty |
| 2020 | A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation. Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic |
| 2020 | A Rating Bias Formulation based on Fuzzy Set for Recommendation. Mingming Li, Fuqing Zhu, Jiao Dai, Liangjun Zang, Yipeng Su, Jizhong Han, Songlin Hu |
| 2020 | A Re-Ranking Framework for Knowledge Graph Completion. Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2020 | A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network. Huynh Thi Thanh Binh, Nguyen Phi Le, Binh-Minh Nguyen, Trinh Thu Hai, Quang Minh Ngo, Do Bao Son |
| 2020 | A Reservoir-based Convolutional Spiking Neural Network for Gesture Recognition from DVS Input. Arun M. George, Dighanchal Banerjee, Sounak Dey, Arijit Mukherjee, P. Balamurali |
| 2020 | A Self-Organizing Modular Neural Network for Nonlinear System Modeling. Xi Meng, Limin Quan, Junfei Qiao |
| 2020 | A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks. Kai Zhu, Meng Cao |
| 2020 | A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments. Arthur Costa Gorgônio, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio |
| 2020 | A Simplified Deep Network Architecture on Optic Cup and Disc Segmentation. Guan-Ru Huang, Tien-Ruey Hsiang |
| 2020 | A Structure of Restricted Boltzmann Machine for Modeling System Dynamics. Guillaume Padiolleau, Olivier Bach, Alain Hugget, Denis Penninckx, Frédéric Alexandre |
| 2020 | A Study of Emergency Department Patient Admittance Predictors. Harish Kumar Manchukonda, Shahram Rahimi, Alexander Sommers, Sean Bozorgzad, Junfeng Ma |
| 2020 | A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | A Transfer Learning Method with Multi-feature Calibration for Building Identification. Jiafa Mao, Linlin Yu, Hui Yu, Yahong Hu, Weiguo Sheng |
| 2020 | A Transformer based Approach for Identification of Tweet Acts. Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya |
| 2020 | A Viewport Prediction Framework for Panoramic Videos. Jinting Tang, Yongkai Huo, Shaoshi Yang, Jianmin Jiang |
| 2020 | A cascaded step-temporal attention network for ECG arrhythmia classification. Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang |
| 2020 | A cognitive inspired method for assessing novelty of short-text ideas. Simona Doboli, Jared B. Kenworthy, Paul B. Paulus, Ali A. Minai, Alex Doboli |
| 2020 | A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection. Gioele Ciaparrone, Francesco Bardozzo, Mattia delli Priscoli, Juanita Londoño Kallewaard, Maycol Ruiz Zuluaga, Roberto Tagliaferri |
| 2020 | A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. Charles R. Day, Edward K. Chadwick, Dimitra Blana |
| 2020 | A critical survey of STDP in Spiking Neural Networks for Pattern Recognition. Alex Vigneron, Jean Martinet |
| 2020 | A neural classifier to evaluate the role of image resolution in the perception of color differences. Beatrice Lazzerini, Francesco Pistolesi |
| 2020 | A new batch SOM algorithm for relational data with weighted medoids. Laura M. P. Mariño, Francisco de A. T. de Carvalho |
| 2020 | A novel dynamically adjusted regressor chain for taxi demand prediction. Zipeng Wu, Guan Lian |
| 2020 | A novel hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators for a hexapod robot. Kentaro Takeda, Hiroyuki Torikai |
| 2020 | A reputation-enhanced model for trust-based collaborative filtering recommender system. Linshan Shen, Shaobin Huang, Xiangke Mao |
| 2020 | A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification. Conor Lynch, Christian O'Leary, Gary Smith, Rose Bain, Jacqueline Kehoe, Alex Vakaloudis, Richrd Linger |
| 2020 | A unified framework for the application and evaluation of different methods for neural parameter optimization. Máté Mohácsi, Márk Patrik Török, Sára Sáray, Szabolcs Káli |
| 2020 | A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition. Peter Boyd, Honghai Liu |
| 2020 | ADMM Consensus for Deep LSTM Networks. Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella |
| 2020 | AM-MobileNet1D: A Portable Model for Speaker Recognition. João Antônio Chagas Nunes, David Macedo, Cleber Zanchettin |
| 2020 | ATT: Attention-based Timbre Transfer. Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar |
| 2020 | AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. Shuo Wang, Leandro L. Minku |
| 2020 | Accelerating Reinforcement Learning for Reaching Using Continuous Curriculum Learning. Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker |
| 2020 | Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik |
| 2020 | Acoustic Scene Classification using Single Frequency Filtering Cepstral Coefficients and DNN. Chandrasekhar Paseddula, Suryakanth V. Gangashetty |
| 2020 | Active Stacking for Heart Rate Estimation. Dongrui Wu, Chenfeng Guo, Feifei Liu, Chengyu Liu |
| 2020 | Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. Siddharth Dadhich, Fredrik Sandin, Ulf Bodin, Ulf Andersson, Torbjörn Martinsson |
| 2020 | Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction. Zhixin Li, Yara Sun, Suqin Tang, Canlong Zhang, Huifang Ma |
| 2020 | Adaptive Inner-reward Shaping in Sparse Reward Games. Dong Yang, Yuhua Tang |
| 2020 | Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods. Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Gabriel Maia Bezerra, Pedro P. R. Filho |
| 2020 | Adaptive Mechanism Design: Learning to Promote Cooperation. Tobias Baumann, Thore Graepel, John Shawe-Taylor |
| 2020 | Adaptive Neural Consensus Control for Nonlinear Strict-Feedback Multiagent Systems With Switching Directed Topology. Wei Zhang, Zhaoxu Yu |
| 2020 | Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. Motoshi Abe, Jun'ichi Miyao, Takio Kurita |
| 2020 | Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors. Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi |
| 2020 | Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation. Yuxuan Zhang, Yuanxiang Li, Xian Wei, Lei Jia |
| 2020 | Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. Xiancong Chen, Weike Pan, Zhong Ming |
| 2020 | Adaptive XGBoost for Evolving Data Streams. Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet |
| 2020 | Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. Keqing He, Yuanmeng Yan, Weiran Xu |
| 2020 | Adversarial Named Entity Recognition with POS label embedding. Yuxuan Bai, Yu Wang, Bin Xia, Yun Li, Ziye Zhu |
| 2020 | Adversarial Perturbations Fool Deepfake Detectors. Apurva Gandhi, Shomik Jain |
| 2020 | Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani |
| 2020 | Adversarial Robustness of Model Sets. István Megyeri, István Hegedüs, Márk Jelasity |
| 2020 | Adversarial Vulnerability in Doppler-based Human Activity Recognition. Zhaoyuan Yang, Yang Zhao, Weizhong Yan |
| 2020 | Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features. Jing Bai, Wentao Yu, Anran Yuan, Zhu Xiao |
| 2020 | Amortized Mixture Prior for Variational Sequence Generation. Jen-Tzung Chien, Chih-Jung Tsai |
| 2020 | An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO. Fei Wang, Zongfeng Xu, Weiwei Zhang, Shichao Wu, Yahui Zhang, Sonya Coleman |
| 2020 | An Adversarial Attack Detection Paradigm With Swarm Optimization. Ayyaz-Ul-Haq Qureshi, Hadi Larijani, Nhamoinesu Mtetwa, Mehdi Yousefi, Abbas Javed |
| 2020 | An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage. Vassilis S. Kodogiannis, Abeer Alshejari |
| 2020 | An Auto Encoder For Audio Dolphin Communication. Daniel Kohlsdorf, Denise Herzing, Thad Starner |
| 2020 | An Automatic Type-Inferential General Latent Feature Model. Neil Dhir, Tomasz Rudny, Davide Zilli, Alessandra Tosi |
| 2020 | An Ecology-based Index for Text Embedding and Classification. Alessio Martino, Enrico De Santis, Antonello Rizzi |
| 2020 | An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique |
| 2020 | An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Robert Sabourin, Luiz E. S. Oliveira |
| 2020 | An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition. Kenneth Lai, Svetlana N. Yanushkevich |
| 2020 | An Experiment in Morphological Development for Learning ANN Based Controllers. Martín Naya-Varela, Andrés Faiña, Richard J. Duro |
| 2020 | An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. Minsong Liu, Yuanheng Zhu, Dongbin Zhao |
| 2020 | An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. Thanh Tung Khuat, Fang Chen, Bogdan Gabrys |
| 2020 | An Improved Template Representation-based Transformer for Abstractive Text Summarization. Jiaming Sun, Yunli Wang, Zhoujun Li |
| 2020 | An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing. Yingying Chen, Xinwen Hou |
| 2020 | An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho |
| 2020 | An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen |
| 2020 | An Inverse Prospect Theory Based-Approach for Linear Ordinal Ranking Aggregation with Its Application in Site Selection of Electric Vehicle Charging Station. Nana Liu, Zeshui Xu, Hangyao Wu, Peijia Ren, Fanlin Meng |
| 2020 | An Online Model for Scheduling Electric Vehicle Charging at Park-and-Ride Facilities for Flattening Solar Duck Curves. Raka Jovanovic, Sertac Bayhan, Islam Safak Bayram |
| 2020 | An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction. Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Jefferson S. Almeida, Marcos Falcão y Martin, Robertas Damasevicius, Rytis Maskeliunas, César Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouças Filho |
| 2020 | An Optimized Modularity-Based High Level Classification Model. Tiago Colliri, Weiguang Liu, Liang Zhao |
| 2020 | An Outlier Detection Algorithm based on KNN-kernel Density Estimation. Abdul Wahid, Annavarapu Chandra Sekhara Rao |
| 2020 | An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling |
| 2020 | An hardware-aware image polarity detector enhanced with visual attention. Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo |
| 2020 | Analysis and Learning of Capsule Networks Robust for Small Image Deformation. Nozomu Ohta, Shin Kawai, Hajime Nobuhara |
| 2020 | Analysis of Information-Seeking Conversations with Process Mining. Alexander Holstrup, Lasse Starklit, Andrea Burattin |
| 2020 | Analysis of the Dynamic Oscillatory Process of a Neural-type Cell (NTC) and Its Input Voltage Bounds. Zhengqing Wu, Robert W. Newcomb |
| 2020 | Analytical form of Fisher information matrix of bipoloar-activation-function-based multilayer perceptrons. Weili Guo, Liping Xie, Zhenyong Fu, Jianhui Guo, Guochen Pang, Jian Yang |
| 2020 | Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. Florian Mirus, Terrence C. Stewart, Jörg Conradt |
| 2020 | Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy |
| 2020 | Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li |
| 2020 | Anomaly Detection in Trajectory Data with Normalizing Flows. Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva |
| 2020 | Answering Binary Causal Questions: A Transfer Learning Based Approach. Humayun Kayesh, Md. Saiful Islam, Junhu Wang, Shikha Anirban, A. S. M. Kayes, Paul A. Watters |
| 2020 | Application of PSO-GA&CGA in Sea-Clutter Doppler Spectrum Modeling. Shubin Zhang, Tingting Ji, Wen-Yuan Wang, Jin-Peng Zhang |
| 2020 | Application of Spiking Neural Networks for Action Recognition from Radar Data. Dighanchal Banerjee, Smriti Rani, Arun M. George, Arijit Chowdhury, Sounak Dey, Arijit Mukherjee, Tapas Chakravarty, Arpan Pal |
| 2020 | Approaches to Avoid Overfitting in a Quantum Perceptron. Fernando M. de Paula Neto, Gustavo I. S. Filho, Cláudio A. Monteiro |
| 2020 | Approximate Manifold Defense Against Multiple Adversarial Perturbations. Jay Nandy, Wynne Hsu, Mong-Li Lee |
| 2020 | Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. Wei Shao, Jeffrey Chan, Flora D. Salim |
| 2020 | Arbitrary Chinese Font Generation from a Single Reference. Zhichen Lai, Chenwei Tang, Jiancheng Lv |
| 2020 | ArcGrad: Angular Gradient Margin Loss for Classification. Jiantao Wu, Lin Wang |
| 2020 | Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech. Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy |
| 2020 | Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An |
| 2020 | Artificial Neural Network Pruning to Extract Knowledge. Evgeny M. Mirkes |
| 2020 | Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation. Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho |
| 2020 | Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. Dan Valle, Tiago Pimentel, Adriano Veloso |
| 2020 | Assistive System for Navigating Complex Realistic Simulated World Using Reinforcement Learning. Faruk Ahmed, Md. Sultan Mahmud, Mohammed Yeasin |
| 2020 | Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo |
| 2020 | Asynchronous Brain Computer Interfaces Using Echo State Networks. Eyal Zakkay, Amjad Abu-Rmileh, Amir B. Geva, Oren Shriki |
| 2020 | Att-DARTS: Differentiable Neural Architecture Search for Attention. Kohei Nakai, Takashi Matsubara, Kuniaki Uehara |
| 2020 | Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge. Xu Li, Jinghua Zhu |
| 2020 | Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images. Xiaofei Zhang, Jiancheng Lv, Heng Zheng, Yongsheng Sang |
| 2020 | Attention-based 3D Object Reconstruction from a Single Image. Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros |
| 2020 | Attention-based Deep Learning Model for Text Readability Evaluation. Yuxuan Sun, Keying Chen, Lin Sun, Chenlu Hu |
| 2020 | Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis. Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng |
| 2020 | Audio-Visual Weakly Supervised Approach for Apathy Detection in the Elderly. Garima Sharma, Jyoti Joshi, Radia Zeghari, Rachid Guerchouche |
| 2020 | Augmented Behavioral Cloning from Observation. Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros |
| 2020 | Automated Deception Detection of Males and Females From Non-Verbal Facial Micro-Gestures. Keeley A. Crockett, James O'Shea, Wasiq Khan |
| 2020 | Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok |
| 2020 | Automated Trading System for Stock Index Using LSTM Neural Networks and Risk Management. Thalita R. Silva, Audeliano Wolian Li, Edson O. Pamplona |
| 2020 | Automatic Image Labeling with Click Supervision on Aerial Images. Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu |
| 2020 | Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. Emir Demirel, Sven Ahlbäck, Simon Dixon |
| 2020 | Automatic Policy Decomposition through Abstract State Space Dynamic Specialization. Rene Sturgeon, François Rivest |
| 2020 | Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. Gianlucca L. Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani |
| 2020 | Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak |
| 2020 | Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata. Gabriel Araújo De Souza, Márjory Da Costa-Abreu |
| 2020 | Autonomous Programming for General Purposes: Theory and Experiments. Juyang Weng, Zejia Zheng, Xiang Wu, Juan L. Castro-Garcia |
| 2020 | Autonomous learning and chaining of motor primitives using the Free Energy Principle. Louis Annabi, Alexandre Pitti, Mathias Quoy |
| 2020 | Axis projection for Kidney-Region-Of-Interest detection in computed tomography. Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent |
| 2020 | BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui |
| 2020 | BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck. Simyung Chang, Keuntek Lee, Shobhit Jain, Cheul-Hee Hahm |
| 2020 | BalNode2Vec: Balanced Random Walk based Versatile Feature Learning for Networks. Amirreza Salamat, Xiao Luo, Ali Jafari |
| 2020 | Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions. Christos Kouppas, Mohamad Saada, Qinggang Meng, Mark King, Dennis Majoe |
| 2020 | Bas-reliefs modelling based on learning deformable 3D models. Siyuan Zhu, Cheng Shang, Jingjing Fan, Xin Wang, Meili Wang |
| 2020 | Baseline win rates for neural-network based trading algorithms. Andreas Krause, Michael Fairbank |
| 2020 | Bayesian Graph Convolutional Neural Network based Patent Valuation Model. Weidong Liu, Xin Liu, Wenbo Qiao |
| 2020 | Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He |
| 2020 | Bayesian Stress Testing of Models in a Classification Hierarchy. Bashar Awwad Shiekh Hasan, Kate Kelly |
| 2020 | Beating the Stock Market with a Deep Reinforcement Learning Day Trading System. Leonardo Conegundes Martinez, Adriano César Machado Pereira |
| 2020 | Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning. Haiyin Piao, Zhixiao Sun, Guanglei Meng, Hechang Chen, Bohao Qu, Kuijun Lang, Yang Sun, Shengqi Yang, Xuanqi Peng |
| 2020 | BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu |
| 2020 | Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li |
| 2020 | Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering. Zongwen Bai, Ying Li, Meili Zhou, Di Li, Dong Wang, Dawid Polap, Marcin Wozniak |
| 2020 | Binarized Attributed Network Embedding via Neural Networks. Hangyu Xia, Neng Gao, Jia Peng, Jingjie Mo, Jiong Wang |
| 2020 | Bio-Inspired System for Electricity Price Forecast in the Brazilian Market. Lídio Mauro Lima de Campos, Jherson Haryson Almeida Pereira, Danilo Souza Duarte, Roberto Célio Limão de Oliveira |
| 2020 | Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury |
| 2020 | Bio-inspired technique for improving machine learning speed and big data processing. Andronicus Ayobami Akinyelu |
| 2020 | Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks. Mariel Alfaro-Ponce, Isaac Chairez |
| 2020 | Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. Usman Naseem, Katarzyna Musial, Peter W. Eklund, Mukesh Prasad |
| 2020 | Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security. Aditya Kuppa, Nhien-An Le-Khac |
| 2020 | Black-Box Saliency Map Generation Using Bayesian Optimisation. Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman |
| 2020 | Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. Stepán Procházka, Roman Neruda |
| 2020 | Brain MRI Tumor Segmentation with Adversarial Networks. Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi |
| 2020 | Brain Melody Informatics: Analysing Effects of Music on Brainwave Patterns. Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones |
| 2020 | Breast Cancer Histopathological Image Classification Based on Deep Second-order Pooling Network. Jiasen Li, Jianxin Zhang, Qiule Sun, Hengbo Zhang, Jing Dong, Chao Che, Qiang Zhang |
| 2020 | Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. Subhankar Banerjee, Shayok Chakraborty |
| 2020 | Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. Dan Barsever, Sameer Singh, Emre Neftci |
| 2020 | CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States. Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali |
| 2020 | CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman |
| 2020 | CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar |
| 2020 | CNN Based Perception System for Collision Avoidance in Mobile Robots using Stereo Vision. Edgar Macias-Garcia, Deysy Galeana Pérez, Eduardo Bayro-Corrochano |
| 2020 | CQ-VQA: Visual Question Answering on Categorized Questions. Aakansha Mishra, Ashish Anand, Prithwijit Guha |
| 2020 | CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu |
| 2020 | Can Adam Smith's Invisible Hand phenomenon be used for the analysis of Fourth Estate's impact and behavior? Tadeusz Szuba, Danuta Sztuba |
| 2020 | Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas |
| 2020 | Capsule Deep Generative Model That Forms Parse Trees. Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi |
| 2020 | Cascade modeling with multihead self-attention. Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun |
| 2020 | Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. Sepehr Ataei, Javad Alirezaie, Paul S. Babyn |
| 2020 | Cascading Top-Down Attention for Visual Question Answering. Weidong Tian, Rencai Zhou, Zhongqiu Zhao |
| 2020 | Catastrophic forgetting and mode collapse in GANs. Hoang Thanh-Tung, Truyen Tran |
| 2020 | Challenge Training to Simulate Inference in Machine Translation. Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang |
| 2020 | Change Your Singer: A Transfer Learning Generative Adversarial Framework for Song to Song Conversion. Rema Daher, Mohammad Kassem Zein, Julia El Zini, Mariette Awad, Daniel C. Asmar |
| 2020 | Classification of Cyberbullying Text in Arabic. Azzeddine Rachid Benaissa, Azza Harbaoui, Henda Hajjami Ben Ghézala |
| 2020 | Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. Ali A. Alani, Georgina Cosma, Aboozar Taherkhani |
| 2020 | Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. Laxmi R. Iyer, Yansong Chua |
| 2020 | Classifying Oscillatory Signatures of Expert vs NonExpert Meditators. Pankaj Pandey, Krishna Prasad Miyapuram |
| 2020 | Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study. Nicolás Cruz, Javier Ruiz-del-Solar |
| 2020 | Cluster Developing 1-Bit Matrix Completion. Chengkun Zhang, Junbin Gao, Steven Lu |
| 2020 | Cluster-based Aggregate Load Forecasting with Deep Neural Networks. Andrea Cini, Slobodan Lukovic, Cesare Alippi |
| 2020 | Code Pointer Network for Binary Function Scope Identification. Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung |
| 2020 | Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. Dipayan Dewan, Lidia Ghosh, Biswadeep Chakraborty, Abir Chowdhury, Amit Konar, Atulya K. Nagar |
| 2020 | Cognitive Architecture for Video Games. Hongming Li, Ying Ma, José C. Príncipe |
| 2020 | Cognitive Identity Management: Synthetic Data, Risk and Trust. Svetlana N. Yanushkevich, Adrian Stoica, Peter Shmerko, W. Gareth J. Howells, Keeley A. Crockett, Richard M. Guest |
| 2020 | Cognitive Modeling Based on Perceiving-Acting Cycle in Robotic Avatar System for Disabled Patients. Takenori Obo, Ryoya Hase, Kohei Kobayashi, Kotaro Sueta, Takeru Nakano, Duk Shin |
| 2020 | Combined Online and Offline Inverse Dynamics Learning for a Robot Manipulator. Amrut Sekhar Panda, Ravi Prakash, Laxmidhar Behera, Ashish Dutta |
| 2020 | Combining Reinforcement Learning and Rule-based Method to Manipulate Objects in Clutter. Yiwen Chen, Zhaojie Ju, Chenguang Yang |
| 2020 | Combining an LSTM neural network with the Variance Ratio Test for time series prediction and operation on the Brazilian stock market. Caio Mário Mesquita, Renato A. de Oliveira, Adriano César Machado Pereira |
| 2020 | Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition. Hiram Ponce, Lourdes Martínez-Villaseñor |
| 2020 | Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity. Fang Lei, Zhiping Peng, Vassilis Cutsuridis, Mei Liu, Yicheng Zhang, Shigang Yue |
| 2020 | Component Analysis for Visual Question Answering Architectures. Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros |
| 2020 | Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation. Lei Shen, Xiaoyu Guo, Meng Chen |
| 2020 | Composing Bossa Nova by Evolutionary Computation. Yu-Wei Wen, Chuan-Kang Ting |
| 2020 | Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks. Jasjeet Dhaliwal, Kyle Hambrook |
| 2020 | Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft. Marinus Toman, John Joseph Wade, Liam McDaid, Jim Harkin |
| 2020 | Conceptual Explanations of Neural Network Prediction for Time Series. Ferdinand Küsters, Peter Schichtel, Sheraz Ahmed, Andreas Dengel |
| 2020 | Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training. Chunpeng Wu, Hai Li |
| 2020 | Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis. Joseph T. Colonel, Sam Keene |
| 2020 | Connection Sparsification and Orbit Stabilization of Dynamic Binary Neural Networks based on Multiobjective Evolutionary Algorithms. Tomoyuki Togawa, Toshimichi Saito |
| 2020 | Constrained Manifold Learning for Videos. Iti Chaturvedi, Jin Xiang |
| 2020 | Constructing Convolutional Neural Networks Based on Quaternion. Shuto Hongo, Teijiro Isokawa, Nobuyuki Matsui, Haruhiko Nishimura, Naotake Kamiura |
| 2020 | Continual Learning with Gated Incremental Memories for sequential data processing. Andrea Cossu, Antonio Carta, Davide Bacciu |
| 2020 | Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor. Sevegni Odilon Clement Allognon, Alceu de Souza Britto Jr., Alessandro L. Koerich |
| 2020 | Control of Complex Nonlinear Dynamic Systems with Incremental Deep Learning Neural Networks. Antonio Morán, Masao Nagai |
| 2020 | Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information. Zhen Cao, Sivanagaraja Tatinati, Andy W. H. Khong |
| 2020 | Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk |
| 2020 | Conventional and Structure Based Sentiment Analysis: A Survey. Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov |
| 2020 | Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms. Prayas Jain, Mridula Verma, Kaushal Kumar Shukla |
| 2020 | Convolutional Neural Network for Medical Image Classification using Wavelet Features. Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba |
| 2020 | Convolutional Neural Network with Inception Blocks for Image Compression Artifact Reduction. Purbaditya Bhattacharya, Udo Zölzer |
| 2020 | Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao |
| 2020 | Cooperative Evolution Multiclass Support Matrix Machines. Imran Razzak |
| 2020 | Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao |
| 2020 | Correlated Mixed Membership Modeling for Somatic Mutations. Rahul Mehta, Müge Karaman |
| 2020 | Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang |
| 2020 | Creating Corpora for Seq2Seq Tone Rephrasing Using Social Media Posts. Paulo R. Cavalin, Marisa Vasconcelos, Marcelo Grave, Claudio S. Pinhanez |
| 2020 | Cross Message Passing Graph Neural Network. Zeyu Zhang, Zheng Liu, Qiyun Zhou, Yanwen Qu |
| 2020 | Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. Haodi Hou, Jing Huo, Yang Gao |
| 2020 | Cross-Domain Data Fusion On Distribution Network Voltage Estimation with D-S Evidence Theory. Yuanbin Zhu, Chenghong Gu, Furong Li |
| 2020 | Cross-Domain Recommendation with Multiple Sources. Qian Zhang, Jie Lu, Guangquan Zhang |
| 2020 | Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms. Karl M. Koerich, Mohammad Esmailpour, Sajjad Abdoli, Alceu S. Britto Jr., Alessandro L. Koerich |
| 2020 | Cross-Scale Correlation Stereo Network. Chao Yang, Wenbin Yao, Xiaoyong Li |
| 2020 | Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling. Alexis Juven, Xavier Hinaut |
| 2020 | Cross-View Gait Recognition Based on U-Net. Israel Raul Tiñini Alvarez, Guillermo Sahonero-Alvarez |
| 2020 | Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio |
| 2020 | Crowd Flow Forecasting with Multi-Graph Neural Networks. Xu Zhang, Ruixu Cao, Zuyu Zhang, Ying Xia |
| 2020 | DAGNet: Exploring the Structure of Objects for Saliency Detection. Haobo Rao, Zhiheng Zhou, Bo Li, Xin Shu |
| 2020 | DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim |
| 2020 | DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. Karol Cheinski, Pawel Wawrzynski |
| 2020 | DHD-Net: A Novel Deep-Learning-based Dehazing Network. Liangru Xie, Hao Wang, Zhuowei Wang, Lianglun Cheng |
| 2020 | DIOPT: Extremely Fast Classification Using Lookups and Optimal Feature Discretization. Johan Garcia, Topi Korhonen |
| 2020 | DLEP: A Deep Learning Model for Earthquake Prediction. Rui Li, Xiaobo Lu, Shuowei Li, Haipeng Yang, Jianfeng Qiu, Lei Zhang |
| 2020 | DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification. Maxence Ferrari, Hervé Glotin, Ricard Marxer, Mark Asch |
| 2020 | DQR: Deep Q-Routing in Software Defined Networks. Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup |
| 2020 | DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains. Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler |
| 2020 | DRG2vec: Learning Word Representations from Definition Relational Graph. Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu |
| 2020 | DSmith: Compiler Fuzzing through Generative Deep Learning Model with Attention. Haoran Xu, Yongjun Wang, Shuhui Fan, Peidai Xie, Aizhi Liu |
| 2020 | DVKCM: Knowledge-guided Conversation Generation with Dynamic Vocabulary. Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Xiangsheng Wei, Yi Liang, Hao Yang |
| 2020 | Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending. Steve Tsham Mpinda Ataky, Jonathan de Matos, Alceu S. Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich |
| 2020 | Data augmentation process to improve deep learning-based NER task in the automotive industry field. Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia |
| 2020 | Data-Aware Declarative Process Mining for Malware Detection. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad |
| 2020 | Data-Driven Randomized Learning of Feedforward Neural Networks. Grzegorz Dudek |
| 2020 | Data-efficient Online Classification with Siamese Networks and Active Learning. Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou |
| 2020 | Deciphering Public Opinion of Nuclear Energy on Twitter. Aparup Khatua, Erik Cambria, Shirley S. Ho, Jin-Cheon Na |
| 2020 | Decision Surfaces of Localized Classifiers. CScott Brown, Ryan G. Benton |
| 2020 | Decoding Speech Evoked Jaw Motion from Non-invasive Neuromagnetic Oscillations. Debadatta Dash, Paul Ferrari, Jun Wang |
| 2020 | Deep Active Learning for Anomaly Detection. Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani |
| 2020 | Deep Active Transfer Learning for Image Recognition. Ankita Singh, Shayok Chakraborty |
| 2020 | Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. Imran Razzak, Iqra Kamran, Saeeda Naz |
| 2020 | Deep Categorization with Semi-Supervised Self-Organizing Maps. Pedro H. M. Braga, Heitor R. Medeiros, Hansenclever F. Bassani |
| 2020 | Deep Convolutional Spiking Neural Network Based Hand Gesture Recognition. Weijie Ke, Yannan Xing, Gaetano Di Caterina, Lykourgos Petropoulakis, John J. Soraghan |
| 2020 | Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction. Ziqiang Li, Gouhei Tanaka |
| 2020 | Deep Embedding for Relation Extraction on Insufficient Labelled Data. Haojie Huang, Raymond K. Wong |
| 2020 | Deep Ensemble Art Style Recognition. Orfeas Menis-Mastromichalakis, Natasa Sofou, Giorgos Stamou |
| 2020 | Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins |
| 2020 | Deep High-order Asymmetric Supervised Hashing for Image Retrieval. Yongchao Yang, Jianxin Zhang, Qian Wang, Bin Liu |
| 2020 | Deep Learning Architecture for Group Activity Recognition using Description of Local Motions Luis Felipe Borja-Borja, Jorge Azorín López, Marcelo Saval-Calvo, Andrés Fuster Guilló |
| 2020 | Deep Learning Based Approach for Fresh Produce Market Price Prediction. Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam |
| 2020 | Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You |
| 2020 | Deep Learning Ensemble for Melanoma Recognition. Stanislaw Osowski, Tomasz Les |
| 2020 | Deep Learning Techniques for Beef Cattle Body Weight Prediction. Mikel Gjergji, Vanessa Aparecida de Moraes Weber, Luiz Otávio Campos Silva, Rodrigo da Costa Gomes, Thiago Luís Alves Campos de Araújo, Hemerson Pistori, Marco A. Alvarez |
| 2020 | Deep Learning Towards Intelligent Vehicle Fault Diagnosis. Mohammed Al-Zeyadi, Javier Andreu-Perez, Hani Hagras, Chris Royce, Darren Smith, Piotr Rzonsowski, Ali Malik |
| 2020 | Deep Learning and Domain Transfer for Orca Vocalization Detection. Paul Best, Maxence Ferrari, Marion Poupard, Sébastien Paris, Ricard Marxer, Helena Symonds, Paul Spong, Hervé Glotin |
| 2020 | Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez |
| 2020 | Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya |
| 2020 | Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis. Joohi Chauhan, Puneet Goyal |
| 2020 | Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage. Luca Oneto, Francesca Cipollini, Leonardo Miglianti, Giorgio Tani, Stefano Gaggero, Michele Viviani, Andrea Coraddu |
| 2020 | Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines. Gabriel Salomon, Rayson Laroca, David Menotti |
| 2020 | Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams. Laura Jamieson, Carlos Francisco Moreno-García, Eyad Elyan |
| 2020 | Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields. Muhammad Taufiq Pratama, Sangwook Kim, Seiichi Ozawa, Takenao Ohkawa, Yuya Chonan, Hiroyuki Tsuji, Noriyuki Murakami |
| 2020 | Deep Neural Network Driven Binaural Audio Visual Speech Separation. Mandar Gogate, Kia Dashtipour, Peter Bell, Amir Hussain |
| 2020 | Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences. Muhammad Fakhrur Rozi, Sangwook Kim, Seiichi Ozawa |
| 2020 | Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments. Philipp Grüning, Amir Madany Mamlouk |
| 2020 | Deep Probabilistic Modelling of Price Movements for High-Frequency Trading. Ye-Sheen Lim, Denise Gorse |
| 2020 | Deep Reinforcement Learning Control of Hand-Eye Coordination with a Software Retina. Lewis Campbell Boyd, Vanja Popovic, Jan Paul Siebert |
| 2020 | Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images. Efe Camci, Domenico Campolo, Erdal Kayacan |
| 2020 | Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels |
| 2020 | Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources. Indu John, Shalabh Bhatnagar |
| 2020 | Deep Representation of Hierarchical Semantic Attributes for Zero-shot Learning. Zhaocheng Zhang, Gang Yang |
| 2020 | Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun |
| 2020 | Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang |
| 2020 | Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation. Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Ao Tang |
| 2020 | DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He |
| 2020 | Dense Broad Learning System based on Conjugate Gradient. Weidong Zou, Yuanqing Xia, Weipeng Cao |
| 2020 | Dependency Based Bilingual word Embeddings without word alignment. Taghreed Alqaisi, Alexandros Komninos, Simon O'Keefe |
| 2020 | Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. Alex Frid, Larry M. Manevitz |
| 2020 | Design of a Morlet wavelet control algorithm using super-twisting sliding modes applied to an induction machine. Daniel A. Magallón, Carlos E. Castañeda, Francisco Jurado, Onofre A. Morfin |
| 2020 | Design of a Reinforcement Learning PID controller. Zhe Guan, Toru Yamamoto |
| 2020 | Detecting Adversarial Audio via Activation Quantization Error. Heng Liu, Gregory Ditzler |
| 2020 | Detection of Adversarial Examples in Deep Neural Networks with Natural Scene Statistics. Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges |
| 2020 | Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection. Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif |
| 2020 | Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly |
| 2020 | Detection of Safety Helmet Wearing Based on Improved Faster R-CNN. Songbo Chen, Wenhu Tang, Tianyao Ji, Huiling Zhu, Ye Ouyang, Wenbo Wang |
| 2020 | Developing Constrained Neural Units Over Time. Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci |
| 2020 | Developmental Learning of Value Functions in a Motivational System for Cognitive Robotics. Alejandro Romero, Francisco Bellas, Abraham Prieto, Richard J. Duro |
| 2020 | Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis |
| 2020 | Discovering Sequential Patterns by Neural Networks. Jakub Nowak, Marcin Korytkowski, Rafal Scherer |
| 2020 | Discovering biomedical causality by a generative Bayesian causal network under uncertainty. Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu |
| 2020 | Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie |
| 2020 | Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong |
| 2020 | Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning. Yanze Min, Hang Su, Jun Zhu, Bo Zhang |
| 2020 | Discrete-Time Lyapunov based Kinematic Control of Robot Manipulator using Actor-Critic Framework. Ankur Kamboj, Ravi Prakash, Jayant Kumar Mohanta, Laxmidhar Behera |
| 2020 | Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images. Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li |
| 2020 | Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation. Wen Zhang, Dongrui Wu |
| 2020 | Distance-Guided Mask Propagation Model for Efficient Video Object Segmentation. Jiajia Liu, Hongning Dai, Bo Li, Gaozhong Tang |
| 2020 | Distantly-Supervised Neural Relation Extraction with Side Information using BERT. Johny Moreira, Chaina Santos Oliveira, David L. Macêdo, Cleber Zanchettin, Luciano Barbosa |
| 2020 | Distilling Essence of a Question: A Hierarchical Architecture for Question Quality in Community Question Answering Sites. Mun Kit Ho, Sivanagaraja Tatinati, Andy W. H. Khong |
| 2020 | Distributed Fault Accommodation for a Class of Interconnected Nonlinear Systems with Event-Triggered Inter-Communications. Dong Zhao, Marios M. Polycarpou |
| 2020 | Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. Prabath Abeysekara, Hai Dong, A. K. Qin |
| 2020 | Diversity in Neural Architecture Search. Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang |
| 2020 | Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data. Anil Goyal, Jihed Khiari |
| 2020 | Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach. Peter Bellmann, Patrick Thiam, Friedhelm Schwenker |
| 2020 | Double Attention for Pathology Image Diagnosis Network with Visual Interpretability. Hao Cheng, Kaijie Wu, Kai Ma, Jie Tian, Rui Xu, Chaochen Gu, Xinping Guan |
| 2020 | Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm. Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Raka Jovanovic, Milan Tuba |
| 2020 | Dual Semantic Relationship Attention Network for Image-Text Matching. Keyu Wen, Xiaodong Gu |
| 2020 | Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache |
| 2020 | Dynamic Attention Aggregation with BERT for Neural Machine Translation. Jiarui Zhang, Hongzheng Li, Shumin Shi, Heyan Huang, Yue Hu, Xiangpeng Wei |
| 2020 | Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. L. K. P. Vignesh, Avinash Achar, Gokul Karthik |
| 2020 | Dynamic Global-Local Attention Network Based On Capsules for Text Classification. Ji Wang, Qiaohong Chen, Haolei Pei, Qi Sun, Yubo Jia |
| 2020 | Dynamic Graph Attention-Aware Networks for Session-Based Recommendation. Ahed Abugabah, Xiaochun Cheng, Jianfeng Wang |
| 2020 | Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo |
| 2020 | Dynamic Network Link Prediction by Learning Effective Subgraphs using CNN-LSTM. Kalyani Selvarajah, Kumaran Ragunathan, Ziad Kobti, Mehdi Kargar |
| 2020 | EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li |
| 2020 | EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi |
| 2020 | EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband. Cédric Simar, Mathieu Petieau, Anita Cebolla, Axelle Leroy, Gianluca Bontempi, Guy Cheron |
| 2020 | EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation. Peyman Rasouli, Ingrid Chieh Yu |
| 2020 | Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 2020 | Early Failure Detection of Belt Conveyor Idlers by Means of Ultrasonic Sensing. Daniel Rodrigues Ericeira, Filipe A. S. Rocha, Andrea G. C. Bianchi, Gustavo Pessin |
| 2020 | Echo State Network Performance in Electrical and Industrial Applications. Muhammad Mansoor, Francesco Grimaccia, Marco Mussetta |
| 2020 | Effective Automated Feature Derivation via Reinforcement Learning for Microcredit Default Prediction. Mengnan Song, Jiasong Wang, Tongtong Zhang, Guoguang Zhang, Ruijun Zhang, Suisui Su |
| 2020 | Effective Deep Reinforcement Learning Setups for Multiple Goals on Visual Navigation. Luiz Ricardo Takeshi Horita, Denis Fernando Wolf, Valdir Grassi Jr. |
| 2020 | Effective Linear Policy Gradient Search through Primal-Dual Approximation. Yiming Peng, Gang Chen, Mengjie Zhang |
| 2020 | Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator. Alexander Demidovskij, Eugene Smirnov |
| 2020 | Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT. Maksim Podkorytov, Daniel Bis, Jinglun Cai, Kobra Amirizirtol, Xiuwen Liu |
| 2020 | Efficient 3D Semantic Segmentation of Seismic Images using Orthogonal Planes 2D Convolutional Neural Networks. Arthur Bridi Guazzelli, Mauro Roisenberg, Bruno Barbosa Rodrigues |
| 2020 | Efficient Evolution for Neural Architecture Search. Zihao Chen, Bin Li |
| 2020 | Efficient Neural Architecture for Text-to-Image Synthesis. Douglas M. Souza, Jonatas Wehrmann, Duncan D. Ruiz |
| 2020 | Efficient Search for the Number of Channels for Convolutional Neural Networks. Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu |
| 2020 | Eigen-CAM: Class Activation Map using Principal Components. Mohammed Bany Muhammad, Mohammed Yeasin |
| 2020 | Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases. Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Cristiane Canton, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2020 | Emotion Detection using Periocular Region: A Cross-Dataset Study. Narsi Reddy, Reza Derakhshani |
| 2020 | Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots. Nicola Webb, Ariel Ruiz-Garcia, Mark Elshaw, Vasile Palade |
| 2020 | Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network. Le-Yan Tao, Bao-Liang Lu |
| 2020 | Employing dropout regularization to classify recurring drifted data streams. Filip Guzy, Michal Wozniak |
| 2020 | En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. Aman Jaiswal, Suraj Kumar, Aditya Nigam |
| 2020 | Enabling Continual Learning with Differentiable Hebbian Plasticity. Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor |
| 2020 | Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2020 | End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad |
| 2020 | End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network. Jun Niu |
| 2020 | End-to-End Phoneme Recognition using Models from Semantic Image Segmentation. Wei Gao, Ahmad Hashemi-Sakhtsari, Mark D. McDonnell |
| 2020 | End-to-end Multimodel Deep Learning for Malware Classification. Elijah Snow, Mahbubul Alam, Alexander M. Glandon, Khan Iftekharuddin |
| 2020 | Energy Forecasting with Building Characteristics Analysis. Shuang Dai, Fanlin Meng |
| 2020 | Energy-efficient and Robust Cumulative Training with Net2Net Transformation. Aosong Feng, Priyadarshini Panda |
| 2020 | Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence. Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Stefano Marrone, Antonella Santone |
| 2020 | Enhancing Multivariate Time Series Classification Using LSTM and Evidence Feed Forward HMM. Achyut Mani Tripathi |
| 2020 | Enhancing Music Recommendation with Social Media Content: an Attentive Multimodal Autoencoder Approach. Tiancheng Shen, Jia Jia, Yan Li, Hanjie Wang, Bo Chen |
| 2020 | Enhancing Neural Networks with Locality-Sensitive Clustering of Internal Representations. Richard A. McAllister, John W. Sheppard |
| 2020 | Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. Ravi Tej Akella, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan |
| 2020 | Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. Liao Cheng, Ziheng Chen, Jiangtao Ren |
| 2020 | Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. Moritz Seiler, Heike Trautmann, Pascal Kerschke |
| 2020 | Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | Enhancing the Detection of Criminal Organizations in Mexico using ML and NLP. Javier Osorio, Alejandro Beltran |
| 2020 | Ensemble Methods for Solar Power Forecasting. Zezhou Chen, Irena Koprinska |
| 2020 | Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang |
| 2020 | Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. Raj Patel, Carlotta Domeniconi |
| 2020 | Evaluating Explanations of Convolutional Neural Network Image Classifications. Sumeet S. Shah, John W. Sheppard |
| 2020 | Evaluation criteria for closed-loop adaptive dynamic discrete-continuous brain-computer interfaces: clinical study case with tetraplegic patient. Félix Martel, Tamara Dupuy, Alexandre Moly, Stéphan Chabardès, Tetiana Aksenova |
| 2020 | Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching. Qianlong Wang, Jiangtao Ren |
| 2020 | Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. Andrey V. Savchenko |
| 2020 | Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming. Xiangnan Zhong, Haibo He |
| 2020 | EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search. Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng |
| 2020 | Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning. Jun Yamada, John Shawe-Taylor, Zafeirios Fountas |
| 2020 | Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2020 | Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. Eduardo Nigri, Nivio Ziviani, Fábio A. M. Cappabianco, Augusto Antunes, Adriano Veloso |
| 2020 | Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv. Shamik Bose, Timothy Barao, Xiuwen Liu |
| 2020 | Explicit Linear Dual-Multistep Methods Applied to ZNN Illustrated via Discrete Time-Dependent Linear and Nonlinear Inequalities System Solving. Jinjin Guo, Binbin Qiu, Liangjie Ming, Yunong Zhang |
| 2020 | Exploiting Cliques for Granular Computing-based Graph Classification. Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2020 | Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation. Tariq Mahmood Khan, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan, Haroon Ahmed Khan, Muhammad Adnan Haider |
| 2020 | Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck |
| 2020 | Exploring Smart Grid Time-of-Use Tariffs using a Robust Optimisation Framework. Paula Carroll |
| 2020 | Exploring the Correlation Between Random Convolutional Architectures and the Trained Equivalent. Nicholas Evans, Jo Plested, Tom Gedeon |
| 2020 | Exploring time-series motifs through DTW-SOM. Maria Inês Silva, Roberto Henriques |
| 2020 | Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain. Shuhui Fan, Shaojing Fu, Haoran Xu, Chengzhang Zhu |
| 2020 | Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding. Guilherme Vieira, Marcos Eduardo Valle |
| 2020 | Extricating from GroundTruth: An Unpaired Learning Based Evaluation Metric for Image Captioning. Zhong-Qiu Zhao, Yue-Lin Sun, Nan-Xun Wang, Weidong Tian |
| 2020 | FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems. Junde Li, Navyata Gattu, Swaroop Ghosh |
| 2020 | FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra, Bruno José Torres Fernandes, Donato Impedovo |
| 2020 | FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, Neng Gao |
| 2020 | FLAGB: Focal Loss based Adaptive Gradient Boosting for Imbalanced Traffic Classification. Yu Guo, Zhenzhen Li, Zhen Li, Gang Xiong, Minghao Jiang, Gaopeng Gou |
| 2020 | FPA-DNN: A Forward Propagation Acceleration based Deep Neural Network for Ship Detection. Feng Wang, Fanshu Liao, Huiqing Zhu |
| 2020 | FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2020 | Facial Appearance Modifications using SKPCA-Derived Features Extracted from Convolutional Autoencoder's Latent Space. Krzysztof Adamiak, Pawel Kapusta, Krzysztof Slot |
| 2020 | Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi |
| 2020 | Fake News Detection from Data Streams. Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak |
| 2020 | FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | Fast Local Attack: Generating Local Adversarial Examples for Object Detectors. Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu |
| 2020 | Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu |
| 2020 | Fast k-Fuzzy-Rough Cognitive Networks. Gonzalo Nápoles, Wouter Goossens, Quinten Moesen, Carlos Mosquera |
| 2020 | Faster and Simpler SNN Simulation with Work Queues. Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros |
| 2020 | Faster α-expansion via dynamic programming and image partitioning. Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira |
| 2020 | Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse |
| 2020 | Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM. Mario I. Chacon Murguia, Eduardo Rivas-Posada |
| 2020 | Feature Map Transform Coding for Energy-Efficient CNN Inference. Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson |
| 2020 | Feature Visualization for 3D Point Cloud Autoencoders. Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt |
| 2020 | Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala |
| 2020 | Federated learning with hierarchical clustering of local updates to improve training on non-IID data. Christopher Briggs, Zhong Fan, Peter Andras |
| 2020 | Few Features Attack to Fool Machine Learning Models through Mask-based GAN. Feng Chen, Yunkai Shang, Jincheng Hu, Bo Xu |
| 2020 | Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley |
| 2020 | Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay |
| 2020 | Forecast of paroxysmal atrial fibrillation using a deep neural network. Cédric Gilon, Jean-Marie Grégoire, Hugues Bersini |
| 2020 | Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention. Elizaveta Kharlova, Daniel C. May, Petr Musílek |
| 2020 | Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. Yujiang He, Janosch Henze, Bernhard Sick |
| 2020 | Forecasting Time Series for Electricity Consumption Data Using Dynamic Weight Ensemble Model. Cheng-Hsiang Hu, Yi-Ling Chen |
| 2020 | Forest Fire Control with Learning from Demonstration and Reinforcement Learning. Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering |
| 2020 | Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. Ying Xu, Xu Zhong, Antonio José Jimeno-Yepes, Jey Han Lau |
| 2020 | Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions. Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda |
| 2020 | Fully Convolutional Network for Removing DCT Artefacts From Images. Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski |
| 2020 | Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. Maciej Kusy, Roman Zajdel, Jacek Kluska, Tomasz Zabinski |
| 2020 | Fuzzy Graph Neural Network for Few-Shot Learning. Tong Wei, Junlin Hou, Rui Feng |
| 2020 | G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed |
| 2020 | GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. Zezheng Zhang, Matloob Khushi |
| 2020 | GCN-LRP explanation: exploring latent attention of graph convolutional networks. Jinlong Hu, Tenghui Li, Shoubin Dong |
| 2020 | GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. Sheng Wei Pang, Chai Quek, Dilip K. Prasad |
| 2020 | GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu |
| 2020 | GPU-based State Adaptive Random Forest for Evolving Data Streams. Ocean Wu, Yun Sing Koh, Giovanni Russello |
| 2020 | GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer |
| 2020 | Gated Graph Pooling with Self-Loop for Graph Classification. Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang |
| 2020 | Gated Res2Net for Multivariate Time Series Analysis. Chao Yang, Mingxing Jiang, Zhongwen Guo, Yuan Liu |
| 2020 | Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble. Jean Li, Jeremiah D. Deng, Dirk De Ridder, Divya Adhia |
| 2020 | General Fair Empirical Risk Minimization. Luca Oneto, Michele Donini, Massimiliano Pontil |
| 2020 | Generalising Recursive Neural Models by Tensor Decomposition. Daniele Castellana, Davide Bacciu |
| 2020 | Generalized Local Aggregation for Large Scale Gaussian Process Regression. Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia |
| 2020 | Generalized Neural Framework for Learning with Rejection. Amina Asif, Fayyaz ul Amir Afsar Minhas |
| 2020 | Generating Chinese Poetry from Images via Concrete and Abstract Information. Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang |
| 2020 | Generating Compact Tree Ensembles via Annealing. Gitesh Dawer, Yangzi Guo, Adrian Barbu |
| 2020 | Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability. Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli (Omid) David |
| 2020 | Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin |
| 2020 | Generating Multi-label Adversarial Examples by Linear Programming. Nan Zhou, Wenjian Luo, Xin Lin, Peilan Xu, Zhenya Zhang |
| 2020 | Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad |
| 2020 | Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity. Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona |
| 2020 | Geometry Sampling for 3D Face Generation via DCGAN. Guoliang Luo, Xin Zhao, Yang Tong, Qiang Chen, Zhiliang Zhu, Hao-Peng Lei, Juncong Lin |
| 2020 | Grammatical Error Detection with Self Attention by Pairwise Training. Quanbin Wang, Ying Tan |
| 2020 | Granger Causality Analysis based on Neural Networks Architectures for bivariate cases. Alvaro D. Orjuela-Cañón, Jan A. Freund, Andres Leonardo Jutinico Alarcon, Alexander Cerquera |
| 2020 | Graph Convolutional Extreme Learning Machine. Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai |
| 2020 | Graph Convolutional Networks for Target-oriented Opinion Words Extraction with Adversarial Training. Yan Zhou, Wei Jiang, Po Song, Yipeng Su, Tao Guo, Jizhong Han, Songlin Hu |
| 2020 | Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao |
| 2020 | Group-Patch Based Classification and Asymptotic Predicting Imbalanced Neuron Spikes. Mingli Zhang, Dongsheng Xiao, Timothy H. Murphy, Jean-Baptiste Poline, Alan C. Evans |
| 2020 | GuideSQL: Utilizing Tables to Guide the Prediction of Columns for Text-to-SQL Generation. Huajie Wang, Lei Chen, Mei Li, Mengnan Chen |
| 2020 | HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke |
| 2020 | HDF: Hybrid Deep Features for Scene Image Representation. Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu |
| 2020 | HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen |
| 2020 | HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar |
| 2020 | HLNet: Modeling High and Low Frequencies for Scene Parsing. Kaiqiang Xu, Zhulin An, Hui Zhu, Xiaolong Hu, Yongjun Xu |
| 2020 | HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction. Ziqiang Li, Gouhei Tanaka |
| 2020 | HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. Chidimma Opara, Bo Wei, Yingke Chen |
| 2020 | Harnessing Adversarial Distances to Discover High-Confidence Errors. Walter D. Bennette, Karsten Maurer, Sean Sisti |
| 2020 | Harnessing the Symmetry of Convolutions for Systematic Generalisation. Jeff Mitchell, Jeffrey S. Bowers |
| 2020 | Hessian-based Bounds on Learning Rate for Gradient Descent Algorithms. Prayag Gowgi, Shayan Srinivasa Garani |
| 2020 | HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Khoa L. D. Nguyen |
| 2020 | Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter. Qi Huang, Junshuai Yu, Jia Wu, Bin Wang |
| 2020 | Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang |
| 2020 | Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition. Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper |
| 2020 | Hiding Data in Images Using Spectral Filtering and Deep Neural Networks. Hadar Shalev, Peerly Setter, Ruth Kimchi, Hagit Hel-Or |
| 2020 | Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. Shuo Liu, Jinlong Jiao, Ziping Zhao, Judith Dineley, Nicholas Cummins, Björn W. Schuller |
| 2020 | Hierarchical Embedding for Code Search in Software Q&A Sites. Ruitong Li, Gang Hu, Min Peng |
| 2020 | Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita |
| 2020 | Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech. Luca Pedrelli, Xavier Hinaut |
| 2020 | High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding. Olaoluwa Adigun, Bart Kosko |
| 2020 | High-Level Classification for Multi-Label Learning. Vinícius H. Resende, Murillo G. Carneiro |
| 2020 | Higher-Order Heterogeneous Graph Convolutional Network Based on Meta-Paths. Wanting Zhao, Hao Xu, Wenzhuo Huang, Jinkui Xie |
| 2020 | Hourly Global Solar Radiation Reconstruction Applying Machine Learning. Francesco Mercaldo, Antonella Santone, Francesco Tariello, Giuseppe Peter Vanoli |
| 2020 | How to Keep an Online Learning Chatbot From Being Corrupted. Yixuan Chai, Guohua Liu, Ziwei Jin, Donghong Sun |
| 2020 | Hubness-based Sampling Method for Nyström Spectral Clustering. Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | Human pose estimation based in-home lower body rehabilitation system. Ying Li, Chenxi Wang, Yu Cao, Benyuan Liu, Joanna Tan, Yan Luo |
| 2020 | Hybrid Evolutionary Framework for Selection of Genes Predicting Breast Cancer Relapse. Lorenzo Perino, Silvia Cascianelli, Marco Masseroli |
| 2020 | Hybrid Gray-Scale and Fuzzy Morphological/Linear Perceptrons Trained By Extreme Learning Machine. Peter Sussner, Israel Campiotti, Manuel Alejandro Quispe Torres |
| 2020 | Hybrid Pooling Networks for Few-shot Learning. Shaoqing Tan, Ruoyu Yang |
| 2020 | Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach. Bethelhem Seifu Shawel, Tsegamlak T. Debella, Getinet Tesfaye, Yonas Y. Tefera, Dereje H. Woldegebreal |
| 2020 | Hybrid approach for Anomaly Detection in Time Series Data. Zeineb Ghrib, Rakia Jaziri, Rim Romdhane |
| 2020 | Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars. Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay |
| 2020 | Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy |
| 2020 | I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection. Suyash Sangwan, Md. Shad Akhtar, Pranati Behera, Asif Ekbal |
| 2020 | IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection. Junshuai Yu, Qi Huang, Xiaofei Zhou, Ying Sha |
| 2020 | IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong |
| 2020 | IO-aware Factorization Machine for User Response Prediction. Zhenhao Hu, Chao Peng, Cheng He, Haibin Cai |
| 2020 | IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation. Xueyang Li, Yongfeng Huang, Cairong Yan, Lihao Liu |
| 2020 | Identify Potential Attacks from Simulated Log Analysis. Cinzia Bernardeschi, Andrea Domenici, Francesco Mercaldo, Antonella Santone |
| 2020 | Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus. Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu |
| 2020 | Identity-Preserving Realistic Talking Face Generation. Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick |
| 2020 | Image Clustering Using a Growing Neural Gas with Forbidden Regions. Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos |
| 2020 | Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network. Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu |
| 2020 | Image Generation for Efficient Neural Network Training in Autonomous Drone Racing. Théo Morales, Andriy Sarabakha, Erdal Kayacan |
| 2020 | Image-Based Real-Time Path Generation Using Deep Neural Networks. Gabriel Moraes, Anderson Mozart, Pedro Azevedo, Marcos Piumbini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue |
| 2020 | Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. Shriya T. P. Gupta, Basabdatta Sen Bhattacharya |
| 2020 | Implicit Discriminator in Variational Autoencoder. Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan |
| 2020 | Improve the LSTM and GRU model for small training data by wavelet transformation. Jengnan Tzeng, Yen-Ru Lai, Ming-Lai Lin, Yu-Han Lin, Yu-Cheng Shih |
| 2020 | Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification. Wanyu Zhao, Bairong Li, Qinghua Gu, Yuesheng Zhu |
| 2020 | Improved Policy Extraction via Online Q-Value Distillation. Aman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki |
| 2020 | Improved Polynomial Neural Networks with Normalised Activations. Mohit Goyal, Rajan Goyal, Brejesh Lall |
| 2020 | Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments. Syed Naveed Hussain Shah, Dean Frederick Hougen |
| 2020 | Improving Abstractive Summarization with Iterative Representation. Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Ruipeng Jia |
| 2020 | Improving Abstractive Text Summarization with History Aggregation. Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou |
| 2020 | Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies. Bruno Henrique Meyer, Aurora Trinidad Ramirez Pozo, Wagner M. Nunan Zola |
| 2020 | Improving Deep Learning Approaches for Human Activity Recognition based on Natural Language Processing of Action Labels. Konstantinos Bacharidis, Antonis A. Argyros |
| 2020 | Improving Discrete Latent Representations With Differentiable Approximation Bridges. Jason Ramapuram, Russ Webb |
| 2020 | Improving Diversity and Reducing Redundancy in Paragraph Captions. Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya |
| 2020 | Improving Expressivity of Graph Neural Networks. Stanislaw J. Purgal |
| 2020 | Improving Feature's Capability of Carrying Category-specific Information for Adversarial Domain Adaptation. Yundong Li, Chen Lin, Wei Hu, Han Dong |
| 2020 | Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD. Yasutoshi Ida, Yasuhiro Fujiwara |
| 2020 | Improving Image Autoencoder Embeddings with Perceptual Loss. Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki |
| 2020 | Improving Relation Classification by Incorporating Dependency and Semantic Information. Kun Deng, Shaochun Wu |
| 2020 | Improving STDP-based Visual Feature Learning with Whitening. Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco |
| 2020 | Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick |
| 2020 | Improving Session-Based Recommendation Adopting Linear Regression-Based Re-ranking. Ramazan Esmeli, Mohamed Bader-El-Den, Hassana Abdullahi, David Henderson |
| 2020 | Improving Single and Multi-View Blockmodelling by Algebraic Simplification. Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic |
| 2020 | Improving k-Means Clustering Performance with Disentangled Internal Representations. Abien Fred Agarap, Arnulfo P. Azcarraga |
| 2020 | Improving the Performance of Neural Networks with an Ensemble of Activation Functions. Arijit Nandi, Nanda Dulal Jana, Swagatam Das |
| 2020 | Improving the Style Adaptation for Unsupervised Cross-Domain Person Re-identification. Wenyuan Zhang, Li Zhu, Lu Lu |
| 2020 | Impulse Noise Filtering using MLMVN. Olivia Keohane, Igor N. Aizenberg |
| 2020 | Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model. Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen |
| 2020 | Information Enhanced Graph Convolutional Networks for Skeleton-based Action Recognition. Dengdi Sun, Fanchen Zeng, Bin Luo, Jin Tang, Zhuanlian Ding |
| 2020 | Information Ranking Using Optimum-Path Forest. Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa |
| 2020 | Instance-Based Ensemble Selection Using Deep Reinforcement Learning. Zhengshang Liu, Kotagiri Ramamohanarao |
| 2020 | Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression. Ziang Liu, Dongrui Wu |
| 2020 | Intelligent Classification and Automatic Annotation of Violations based on Neural Network Language Model. Yaoquan Yu, Yuefeng Guo, Zhiyuan Zhang, Mengshi Li, Tianyao Ji, Wenhu Tang, Qinghua Wu |
| 2020 | Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho |
| 2020 | Interpretability vs. Complexity: The Friction in Deep Neural Networks. José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos |
| 2020 | Interpretable Time-series Classification on Few-shot Samples. Wensi Tang, Lu Liu, Guodong Long |
| 2020 | Interpreting Deep Models through the Lens of Data. Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed |
| 2020 | Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. Luis Miguel Núñez, Margarida Julià-Sapé, Enrique Romero, Carles Arús, Alfredo Vellido, Ana-Paula Candiota |
| 2020 | Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs. Yuwei Sun, Hideya Ochiai, Hiroshi Esaki |
| 2020 | Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation. Deepankar Nankani, Rashmi Dutta Baruah |
| 2020 | IoT Attack Detection with Deep Learning Analysis. Riccardo Pecori, Amin Tayebi, Armando Vannucci, Luca Veltri |
| 2020 | Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2020 | Isolation Forest Based Multi-Source Unsupervised Transfer Learning for Missing GDP Prediction. Sandeep Kumar, Amit K. Shukla, Pranab K. Muhuri |
| 2020 | Item Response Theory for Evaluating Regression Algorithms. João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho |
| 2020 | Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li |
| 2020 | Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function. Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo, Krzysztof Szarzynski, Mateusz Piecuch, Honorata Hafke-Dys |
| 2020 | Joint Medical Ontology Representation Learning for Healthcare Predictions. Ke Wang, Ning Chen, Ting Chen |
| 2020 | Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin |
| 2020 | Joint Representation Learning with Deep Quadruplet Network for Real-Time Visual Tracking. Dawei Zhang, Zhonglong Zheng |
| 2020 | K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed |
| 2020 | KTAN: Knowledge Transfer Adversarial Network. Peiye Liu, Wu Liu, Huadong Ma, Zhewei Jiang, Mingoo Seok |
| 2020 | Kernelized Constrained Gaussian Fields and Harmonic Functions for Semi-supervised Learning. Celso André R. de Sousa |
| 2020 | Knowledge Graph Generation with Deep Active Learning. Abhishek Pradhan, Ketan Kumar Todi, Anbarasan Selvarasu, Atish Sanyal |
| 2020 | Knowledge Grounded Pre-Trained Model For Dialogue Response Generation. Yanmeng Wang, Wenge Rong, Jianfei Zhang, Yuanxin Ouyang, Zhang Xiong |
| 2020 | Knowledge-based Context-aware Multi-turn Conversational Model with Hierarchical Attention. Chunquan Chen, Si Li |
| 2020 | Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang |
| 2020 | KutralNet: A Portable Deep Learning Model for Fire Recognition. Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David L. Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin |
| 2020 | LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala |
| 2020 | LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection. Zehua Zhao, Min Gao, Fengji Luo, Yi Zhang, Qingyu Xiong |
| 2020 | LSTM-Based Quantitative Trading Using Dynamic K-Top and Kelly Criterion. Binjing Li, Keli Xie, Siyuan Lu, Jun Lin, Zhongfeng Wang |
| 2020 | Label Noise Robust Curriculum for Deep Paraphrase Identification. Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang |
| 2020 | Language Inference with Multi-head Automata through Reinforcement Learning. Alper Sekerci, Özlem Salehi |
| 2020 | Laplacian-based Semi-supervised Multi-Label Regression. Vivien Kraus, Khalid Benabdeslem, Bruno Canitia |
| 2020 | Latent Context Based Soft Actor-Critic. Yuan Pu, Shaochen Wang, Xin Yao, Bin Li |
| 2020 | Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. Takaya Ueda, Ikuko Nishikawa |
| 2020 | Layer-wise Adversarial Training Approach to Improve Adversarial Robustness. Xiaoyi Chen, Ni Zhang |
| 2020 | Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. Jonas Prellberg, Oliver Kramer |
| 2020 | Learning & Visualizing Genomic Signatures of Cancer Tumors using Deep Neural Networks. Tarek Khorshed, Mohamed N. Moustafa, Ahmed Rafea |
| 2020 | Learning Arithmetic Operations With A Multistep Deep Learning. Bastien Nollet, Mathieu Lefort, Frédéric Armetta |
| 2020 | Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. Pu Li, Xiaobai Liu, K. J. Palmer, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Holger Klinck, Danielle Cholewiak, Tyler A. Helble, Marie A. Roch |
| 2020 | Learning Filterbanks from Raw Waveform for Accent Classification. Rashmi Kethireddy, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty |
| 2020 | Learning Label-Relational Output Structure for Adaptive Sequence Labeling. Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu |
| 2020 | Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao |
| 2020 | Learning Representations using Spectral-Biased Random Walks on Graphs. Charu Sharma, Jatin Chauhan, Manohar Kaul |
| 2020 | Learning Single-view Object Reconstruction with Scaling Volume-View Supervision. Zishu Gao, Guodong Yang, En Li, Zize Liang |
| 2020 | Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh |
| 2020 | Learning Word Representation for the Cyber Security Vulnerability Domain. Sara Mumtaz, Carlos Rodríguez, Boualem Benatallah, Mortada Al-Banna, Shayan Zamanirad |
| 2020 | Learning causal dependencies in large-variate time series. Gianluca Bontempi |
| 2020 | Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling |
| 2020 | Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. Sérgio F. Chevtchenko, Teresa Bernarda Ludermir |
| 2020 | Learning representations in Bayesian Confidence Propagation neural networks. Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman |
| 2020 | Learning to Infer the Depth Map of a Hand from its Color Image. Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos, Antonis A. Argyros |
| 2020 | Learning to Play Precision Ball Sports from scratch: a Deep Reinforcement Learning Approach. Liliana Antão, Armando Sousa, Luís Paulo Reis, Gil Gonçalves |
| 2020 | Learning to Search Efficient DenseNet with Layer-wise Pruning. Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu |
| 2020 | Learning traversability map of different robotic platforms for unstructured terrains path planning. Paolo Arena, Carmelo Fabrizio Blanco, Alessia Li Noce, Salvatore Taffara, Luca Patanè |
| 2020 | Learning with Partial Multi-Outlooks. Jing Chen, Yi He, Vijay Raghavan |
| 2020 | Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service. Mariana Y. Noguti, Eduardo Vellasques, Luiz S. Oliveira |
| 2020 | Legal Feature Enhanced Semantic Matching Network for Similar Case Matching. Zhilong Hong, Qifei Zhou, Rong Zhang, Weiping Li, Tong Mo |
| 2020 | Let the Margin SlidE Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann |
| 2020 | Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering. Lele Huang, Huifang Ma, Xiangchun He, Liang Chang |
| 2020 | Leveraging the Manycore Architecture of the Loihi Spiking Processor to Perform Quasi-Complete Constraint Satisfaction. Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass |
| 2020 | Lightweight Action Recognition with Sequence-Specific Global Context. Yao Chen, Hefei Ling, Jiazhong Chen, Lei Wu, Yuxuan Shi |
| 2020 | Lightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning. Lingjuan Lyu |
| 2020 | Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. Sergey V. Sidorov, Nikolai Yu. Zolotykh |
| 2020 | Local Propagation in Constraint-based Neural Networks. Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori |
| 2020 | Local intrinsic dimensionality estimators based on concentration of measure. Jonathan Bac, Andrei Yu. Zinovyev |
| 2020 | Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. David Lynch, Lester T. W. Ho, Michael MacDonald, Michael O'Neill |
| 2020 | Locality Guided Neural Networks for Explainable Artificial Intelligence. Randy Tan, Naimul Mefraz Khan, Ling Guan |
| 2020 | Locality Sensitive Batch Selection for Triplet Networks. Kyle Martin, Nirmalie Wiratunga, Sadiq Sani |
| 2020 | Loss Functions for Deep Monaural Speech Enhancement. Jan Freiwald, Lea Schönherr, Christopher Schymura, Steffen Zeiler, Dorothea Kolossa |
| 2020 | Loss Surface Modality of Feed-Forward Neural Network Architectures. Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig |
| 2020 | Low Resolution Handwritten Digit String Recognition based on Object Detection Network. Yingjie Xu, Jun Guo |
| 2020 | Low-Quality Rendering-Driven 6D Object Pose Estimation from Single RGB Image. Guoyu Zuo, Chengwei Zhang, Hongxing Liu, Daoxiong Gong |
| 2020 | Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers. Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone |
| 2020 | M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. Yinlong Zhu, Yi Zhang |
| 2020 | MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. Dmitry Kazhdan, Zohreh Shams, Pietro Liò |
| 2020 | MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals. Sujit Roy, Shirin Dora, Karl A. McCreadie, Girijesh Prasad |
| 2020 | MRobust: A Method for Robustness against Adversarial Attacks on Deep Neural Networks. Yi-Ling Liu, Alessio Lomuscio |
| 2020 | MUNet: A Multi-scale U-Net Framework for Medical Image Segmentation. Wentao Zhang, Hao Cheng, Jun Gan |
| 2020 | Machine Learning Algorithms in Quantum Computing: A Survey. Somayeh Bakhtiari Ramezani, Alexander Sommers, Harish Kumar Manchukonda, Shahram Rahimi, Amin Amirlatifi |
| 2020 | Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications. Samuel Spillane, Kristopher H. Jung, Kate Bowers, Ture Peken, Michael M. Marefat, Tamal Bose |
| 2020 | Machine Learning Based Seismic Region Classification. Samuel da S. Oliveira, Anne M. P. Canuto, Bruno M. Carvalho, Márcio Eduardo Kreutz |
| 2020 | Machine Vision for Construction Equipment by Transfer Learning with Scale Models. Carl Borngrund, Ulf Bodin, Fredrik Sandin |
| 2020 | Machine learning evaluating evolutionary fitness in complex biological systems. Oleg A. Kuzenkov, Andrew Morozov, Galina Kuzenkova |
| 2020 | Machine learning with incomplete datasets using multi-objective optimization models. Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin |
| 2020 | Malicious Collusion Detection in Mobile Environment by means of Model Checking. Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2020 | Mapping and Masking Targets Comparison using Different Deep Learning based Speech Enhancement Architectures. Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings |
| 2020 | Mapping individual differences in cortical architecture using multi-view representation learning. Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart |
| 2020 | Maximum Entropy Reinforcement Learning with Evolution Strategies. Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan |
| 2020 | Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN. Fangzhou Luo, Xiaolin Wu |
| 2020 | Measuring the engagement level in encrypted group conversations by using temporal networks. Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros |
| 2020 | Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. Omar Kawi, Kathy Clawson, Paul Dunn, Daniel Knight, Jonathan Hodgson, Yonghong Peng |
| 2020 | Meta-Path Generation Online for Heterogeneous Network Embedding. Tao Liang, Jin Liu |
| 2020 | Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method. Xiaohui Zhu, Toshiharu Sugawara |
| 2020 | MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu |
| 2020 | Metric Learning for Electrical Submersible Pump Fault Diagnosis. Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros |
| 2020 | Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann |
| 2020 | Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification. Sheng Bi, Peng Shi, Yuntao Du, Bin Jin, LingShuang Yu |
| 2020 | Minority Oversampling Using Sensitivity. Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent |
| 2020 | Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu |
| 2020 | Mitigating Outlier Effect in Online Regression: An Efficient Usage of Error Correntropy Criterion. Sajjad Bahrami, Ertem Tuncel |
| 2020 | Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning. Yun Ma, Xudong Mao, Yangbin Chen, Qing Li |
| 2020 | Model Predictive Control Guided Reinforcement Learning Control Scheme. Huimin Xie, Xinghai Xu, Yuling Li, Wenjing Hong, Jia Shi |
| 2020 | Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer |
| 2020 | Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani |
| 2020 | Modified Capsule Neural Network (Mod-CapsNet) for Indoor Home Scene Recognition. Amlan Basu, Keerati Kaewrak, Lykourgos Petropoulakis, Gaetano Di Caterina, John J. Soraghan |
| 2020 | Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm. Jia Cai, Guanglong Xu, Wenwen Ye |
| 2020 | Monoceros: A New Approach for Training an Agent to Play FPS Games. Ruiyang Yang, Hongyin Tang, Beihong Jin |
| 2020 | Motor strength classification with machine learning approaches applied to anatomical neuroimages. Francesco Bardozzo, Sebastian Cano Uribe, Andrea G. Russo, Mateo Jiménez Castaño, Mattia delli Priscoli, Fabrizio Esposito, Roberto Tagliaferri |
| 2020 | Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution. Antonio Quintero-Rincón, Carlos D'Giano, Hadj Batatia |
| 2020 | MufiNet: Multiscale Fusion Residual Networks for Medical Image Segmentation. Chun Wang, Zhi Wang, Wei Xi, Zhao Yang, Gairui Bai, Ruimeng Wang, Meichen Duan |
| 2020 | Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning. Praveen Palanisamy |
| 2020 | Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach. Elhadji Amadou Oury Diallo, Toshiharu Sugawara |
| 2020 | Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. Hassam Ullah Sheikh, Ladislau Bölöni |
| 2020 | Multi-Channel Co-Attention Network for Visual Question Answering. Weidong Tian, Bin He, Nanxun Wang, Zhongqiu Zhao |
| 2020 | Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi |
| 2020 | Multi-Dialect Arabic Speech Recognition. Abbas Raza Ali |
| 2020 | Multi-Domain Dialogue State Tracking with Hierarchical Task Graph. Tianhao Shen, Xiaojie Wang |
| 2020 | Multi-Grained Selection and Fusion for Fine-Grained Image Representation. Jianrong Jiang, Hongxing Wang |
| 2020 | Multi-Label Auto-Encoder based Electrical Load Disaggregation. Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra |
| 2020 | Multi-Label Learning with Local Similarity of Samples. Wenfang Zhu, Weiwei Li, Xiuyi Jia |
| 2020 | Multi-Label classifier based on Kernel Random Vector Functional Link Network. Vikas Chauhan, Aruna Tiwari, Shivvrat Arya |
| 2020 | Multi-Object Tracking Via Multi-Attention. Xianrui Wang, Hefei Ling, Jiazhong Chen, Ping Li |
| 2020 | Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation. Sanatan Sukhija, Srenivas Varadarajan, Narayanan C. Krishnan, Sujit Rai |
| 2020 | Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection. Shuyun Ji, Jinglin Li, Quan Yuan, Jiawei Lu |
| 2020 | Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. Mingyang Zhong, Brijesh K. Verma, Joseph Affum |
| 2020 | Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2020 | Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu |
| 2020 | Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2020 | Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. Zhi-An Huang, Rui Liu, Kay Chen Tan |
| 2020 | Multi-agent system for dynamic scheduling. Bernardo M. Firme, Guilherme Lopes, Miguel S. E. Martins, Tiago Coito, Joaquim L. Viegas, João M. C. Sousa, João C. P. Reis, João Figueiredo, Susana M. Vieira |
| 2020 | Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. Marcos M. Raimundo, Fernando J. Von Zuben |
| 2020 | Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm. Yuanyuan Tao, Jun Li, Jianhua Xu |
| 2020 | Multi-label learning for dynamic model type recommendation. Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz |
| 2020 | Multi-level Visual Fusion Networks for Image Captioning. Dongming Zhou, Canlong Zhang, Zhixin Li, Zhiwen Wang |
| 2020 | Multi-modal Information Extraction and Fusion with Convolutional Neural Networks. Dinesh Kumar, Dharmendra Sharma |
| 2020 | Multi-modal cyberbullying detection on social networks. Kaige Wang, Qingyu Xiong, Chao Wu, Min Gao, Yang Yu |
| 2020 | Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. Yilin Dai, Qian Ji, Gongshen Liu, Bo Su |
| 2020 | Multi-step LSTM Prediction Model for Visibility Prediction. Yunlong Meng, Fengliang Qi, Heng Zuo, Bo Chen, Xian Yuan, Yao Xiao |
| 2020 | Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods. Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2020 | Multi-target regression via output space quantization. Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas |
| 2020 | Multi-type Feature Mining and Fusion Model for Temporal Prediction. Wei Lu, Yan Hu |
| 2020 | Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev |
| 2020 | Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi |
| 2020 | Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism. Yu-Ting Lan, Wei Liu, Bao-Liang Lu |
| 2020 | Multimodal Event-based Task Load Estimation from Wearables. Siyuan Chen, Julien Epps |
| 2020 | Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. Syeda Alleena Riaz, Saeeda Naz, Imran Razzak |
| 2020 | Multiple Instance Learning for Training Neural Networks under Label Noise. Stefan Duffner, Christophe Garcia |
| 2020 | Multiple Object Detection of Workpieces Based on Fusion of Deep Learning and Image Processing. Yi Lei, Xifan Yao, Wocheng Chen, Junming Zhang, Jorn Mehnen, Erfu Yang |
| 2020 | Multiple Stock Time Series Jointly Forecasting with Multi-Task Learning. Tao Ma, Ying Tan |
| 2020 | Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics. Wenjie Huang, Junpei Zhong, Angelo Cangelosi |
| 2020 | Multiple-source Domain Adaptation in Rule-based Neural Network. Hua Zuo, Jie Lu, Guangquan Zhang |
| 2020 | Multiscale Adaptation Fusion Networks for Depth Completion. Yongchi Zhang, Ping Wei, Huan Li, Nanning Zheng |
| 2020 | Multitask Adversarial Learning for Chinese Font Style Transfer. Lei Wu, Xi Chen, Lei Meng, Xiangxu Meng |
| 2020 | Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density. Md. Sultan Mahmud, Faruk Ahmed, Mohammed Yeasin, Claude Alain, Gavin M. Bidelman |
| 2020 | Multivariate Time Series Classification Using Spiking Neural Networks. Haowen Fang, Amar Shrestha, Qinru Qiu |
| 2020 | Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. Achyut Mani Tripathi, Rashmi Dutta Baruah |
| 2020 | Multivariate Time Series Prediction with PID-based Residual Compensation. Jinxin Liu, Qiangxing Tian, Donglin Wang |
| 2020 | Muscle Vectors as Temporally Dense "Labels". Xiang Wu, Juyang Weng |
| 2020 | Mutual Information Maximization in Graph Neural Networks. Xinhan Di, Pengqian Yu, Rui Bu, Mingchao Sun |
| 2020 | Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities. Shui-Hua Wang, Gerry P. McCann, Ivan Tyukin |
| 2020 | Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information. Zhihao Chen, Alain Lalande, Michel Salomon, Thomas Decourselle, Thibaut Pommier, Gilles Perrot, Raphaël Couturier |
| 2020 | NASABN: A Neural Architecture Search Framework for Attention-Based Networks. Kun Jing, Jungang Xu, Hui Xu |
| 2020 | NASB: Neural Architecture Search for Binary Convolutional Neural Networks. Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee |
| 2020 | Neighborhood-Aware Attention Network for Semi-supervised Face Recognition. Qi Zhang, Zhen Lei, Stan Z. Li |
| 2020 | Neural Architecture Search for Time Series Classification. Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller |
| 2020 | Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. Adolfo Perrusquía, Wen Yu |
| 2020 | Neural Network Augmented Intelligent Iterative Learning Control for a Nonlinear System. Devi Lakshmidevinivas, Meryem Deniz, S. N. Balakrishnan |
| 2020 | Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi |
| 2020 | Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen |
| 2020 | Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes. Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Avarua, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone |
| 2020 | Neural Networks for the Retrieval of Methane from the Sentinel-5 Precursor Satellite. Rose Fenwick, Hartmut Boesch, Ivan Tyukin |
| 2020 | Neural Reasoning, Fast and Slow, for Video Question Answering. Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero |
| 2020 | Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu |
| 2020 | Neural coding: adapting spike generation for embedded hardware classification. Nassim Abderrahmane, Benoît Miramond |
| 2020 | NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique |
| 2020 | Neurodynamic Sensory-Motor Phase Binding for Multi-Legged Walking Robots. Rudolf J. Szadkowski, Jan Faigl |
| 2020 | Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar |
| 2020 | New Avenues in Mobile Tourism. Claudia Guerreiro, Erik Cambria, Hien T. Nguyen |
| 2020 | New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. Pavel Tolmachev, Jonathan H. Manton |
| 2020 | New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser |
| 2020 | NodeDrop: A Method for Finding Sufficient Network Architecture Size. Louis Jensen, Jacob Harer, Sang Chin |
| 2020 | Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay. Norman L. Tasfi, Miriam A. M. Capretz |
| 2020 | Non-Intrusive Appliance Load Monitoring in an Intelligent Device at the Edge layer. José Alonso Aguirre-Núñez, Juan Pablo Serrano-Rubio, Rafael Herrera Guzmán |
| 2020 | Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition. Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh |
| 2020 | Non-conjugate Posterior using Stochastic Gradient Ascent with Adaptive Stepsize. Kart-Leong Lim |
| 2020 | Nonlinear Logistic Regression Model Based On Simplex Basis Function. Xia Hong, Hong Wei, Junbin Gao |
| 2020 | Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang |
| 2020 | Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation. Ahmad Zia Ul-Saufie, Dhiya Al-Jumeily, Abir Hussain, Muqhlisah Muhamad, Jamila Mustafina, Fawaz Ghali, Thar Baker |
| 2020 | Novel Fast Binary Hash for Content-based Solar Image Retrieval. Rafal Grycuk, Rafal Scherer |
| 2020 | Novel Use of Self-organizing Map for Q-matrix Calibration in Cognitive Diagnosis Assessment. Xi-tian Chen, Zhengjia Dai, Ying Lin |
| 2020 | Novelty-Guided Reinforcement Learning via Encoded Behaviors. Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage |
| 2020 | Nucleus Neural Network: A Data-driven Self-organized Architecture. Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He |
| 2020 | NurbsNet: A Nurbs approach for 3d object recognition. Félix Escalona, Diego Viejo, Robert B. Fisher, Miguel Cazorla |
| 2020 | O (m log m) instance selection algorithms - RR-DROPs. Marek Orlinski, Norbert Jankowski |
| 2020 | OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler |
| 2020 | Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement. Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | Object Detection with Extended Attention and Spatial Information. Yingda Guan, Zuochang Ye, Yan Wang |
| 2020 | Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model. Emna Amri, Alexandre Benoît, Philippe Bolon, Véronique Miegebielle, Bruno Conche, Georges Oppenheim |
| 2020 | On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban |
| 2020 | On Ensemble Techniques for Data Stream Regression. Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet |
| 2020 | On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed |
| 2020 | On the (Un)Reliability of Privacy Policies in Android Apps. Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo |
| 2020 | On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. Qian Wang, Neelanjan Bhowmik, Toby P. Breckon |
| 2020 | On the Information Plane of Autoencoders. Nicolás I. Tapia, Pablo A. Estévez |
| 2020 | On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2020 | On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem. Ricardo Grunitzki, Gabriel de Oliveira Ramos |
| 2020 | On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. Bingxin Zhou, Xuebin Zheng, Junbin Gao |
| 2020 | On the automatic calibration of fully analogical spiking neuromorphic chips. Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile |
| 2020 | On the brain-mind visual experiences. Tania Re, Giuseppe Vitiello |
| 2020 | On the evaluation of dynamic selection parameters for time series forecasting. Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto |
| 2020 | On-device Filtering of Social Media Images for Efficient Storage. Dhruval Jain, Debi Prasanna Mohanty, Sanjeev Roy, Naresh Purre, Sukumar Moharana |
| 2020 | One Shot Spatial Learning through Replay in a Hippocampus-Inspired Reinforcement Learning Model. Adedapo Alabi, Ali A. Minai, Dieter Vanderelst |
| 2020 | One-Class Classification for Selecting Synthetic Datasets in Meta-Learning. Regina R. Parente, Ricardo B. C. Prudêncio |
| 2020 | One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection. Imran Razzak, Tariq Mahmood Khan |
| 2020 | One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN. Amin Ullah, Khan Muhammad, Kilichbek Haydarov, Ijaz Ul Haq, Mi Young Lee, Sung Wook Baik |
| 2020 | One-Shot Unsupervised Domain Adaptation for Object Detection. Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni |
| 2020 | One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection. Jiachen Zhao, Yongling Li, Haibo He, Fang Deng |
| 2020 | Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction. Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik |
| 2020 | Online Knowledge Acquisition with the Selective Inherited Model. Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao |
| 2020 | Online Meta-Forest for Regression Data Streams. Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu |
| 2020 | Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems. Rohollah Moghadam, Pappa Natarajan, Raghavan Krishnan, Sarangapani Jagannathan |
| 2020 | Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. Lukasz Korycki, Bartosz Krawczyk |
| 2020 | Online Testing in Machine Learning Approach for Fall Detection. Lourdes Martínez-Villaseñor, Hiram Ponce, José Núñez-Martínez, Sofía Pacheco |
| 2020 | Online learning for anomaly detection via subdivisible convex hulls. David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas |
| 2020 | Ontology-based Interpretable Machine Learning for Textual Data. Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou |
| 2020 | OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung |
| 2020 | Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. Zohaib M. Jan, Brijesh K. Verma |
| 2020 | Optimizing Filter-bank Canonical Correlation Analysis for fast response SSVEP Brain-Computer Interface (BCI). Aung Aung Phyo Wai, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Cuntai Guan |
| 2020 | Optimizing Recommendations for Clustering Algorithms Using Meta-Learning. Adam Jilling, Marco Álvarez |
| 2020 | Orthrus: A Bimodal Learning Architecture for Malware Classification. Daniel Gibert, Carles Mateu, Jordi Planes |
| 2020 | OvA-INN: Continual Learning with Invertible Neural Networks. Guillaume Hocquet, Olivier Bichler, Damien Querlioz |
| 2020 | OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering. Waldyr Lourenco de Freitas, Sarajane M. Peres, Valdinei Freire, Lucas Fernandes Brunialti |
| 2020 | P-DNN: An Effective Intrusion Detection Method based on Pruning Deep Neural Network. Mingjian Lei, Xiaoyong Li, Binsi Cai, Yunfeng Li, Limengwei Liu, Wenping Kong |
| 2020 | PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming |
| 2020 | PEDA 376K: A Novel Dataset for Deep-Learning Based Porn-Detectors. Danilo Coura Moreira, Eanes Torres Pereira, Marco Álvarez |
| 2020 | PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin |
| 2020 | PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv |
| 2020 | Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha |
| 2020 | Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri |
| 2020 | Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. Pawel Pelka, Grzegorz Dudek |
| 2020 | Penalty-based Sequence Generative Adversarial Networks with Enhanced Transformer for Text Generation. Mingjun Duan, Yubai Li |
| 2020 | Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. Tung Nguyen, Jing Liu, Hung The Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass |
| 2020 | Performance analysis of neural network topologies and hyperparameters for deep clustering. Muhammed Furkan Kucuk, Ismail Uysal |
| 2020 | Performance measures for evolving predictions under delayed labelling classification. Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet |
| 2020 | Persona aware Response Generation with Emotions. Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya |
| 2020 | Personalized Destination Prediction Using Transformers in a Contextless Data Setting. Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski |
| 2020 | Personalized Digital Customer Services for Consumer Banking Call Centre using Neural Networks. Xuejie Zhang, Samarth Agarwal, Ruth Choy, Kay Jan Wong, Lecia Lim, Ying Yang Lee, John Jianan Lu |
| 2020 | Phoneme based Domain Prediction for Language Model Adaptation. Anmol Bhasin, Gaurav Mathur, Promod Yenigalla, Bharatram S. Natarajan |
| 2020 | Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. Carlos Francisco Moreno-García, Pamela Johnston, Bello Garkuwa |
| 2020 | Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. Shadi Alamoudi, Xia Hong, Hong Wei |
| 2020 | Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. Alejandro Barredo Arrieta, Javier Del Ser |
| 2020 | Poem Generation using Transformers and Doc2Vec Embeddings. Marvin C. Santillan, Arnulfo P. Azcarraga |
| 2020 | Pre-trained Language Models with Limited Data for Intent Classification. Buddhika Kasthuriarachchy, Madhu Chetty, Gour C. Karmakar, Darren Walls |
| 2020 | Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data. Kellyton dos Santos Brito, Paulo Jorge Leitão Adeodato |
| 2020 | Predicting Gentrification in Mexico City using Neural Networks. Leon Palafox, Pedro Ortiz-Monasterio |
| 2020 | Predicting Human Errors from Gaze and Cursor Movements. Rachid Riad Saboundji, Róbert Adrian Rill |
| 2020 | Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. Gulrukh Turabee, Georgina Cosma, Vincenzo Madonna, Paolo Giangrande, Muhammad Raza Khowja, Gaurang Vakil, Chris Gerada, Michael Galea |
| 2020 | Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran |
| 2020 | Predicting Solar X-ray Flux Using Deep Learning Techniques. Sumi Dey, Olac Fuentes |
| 2020 | Predicting body measures from 2D images using Convolutional Neural Networks. João W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho |
| 2020 | Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk |
| 2020 | Prediction of Customer Status in Corporate Banking Using Neural Networks. Stanislaw Osowski, Lukasz Sierenski |
| 2020 | Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning. Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam, Prarabdha Agrawal |
| 2020 | Prediction of Weather Radar Images via a Deep LSTM for Nowcasting. Guang Yao, Zongxuan Liu, Xufeng Guo, Chaoshi Wei, Xinfeng Li, Zhihao Chen |
| 2020 | Prediction with Expert Advice for Value at Risk. Raisa Dzhamtyrova, Yuri Kalnishkan |
| 2020 | Probabilistic Neural Network - parameters adjustment in classification task. Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik |
| 2020 | Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. Cheng Pan, Jie Tan |
| 2020 | Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa |
| 2020 | Problems of representation of electrocardiograms in convolutional neural networks. Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Alexey Khorkin, Grigory V. Osipov |
| 2020 | Process Model Modularization by Subprocess Discovery. Sergio Angelastro, Stefano Ferilli |
| 2020 | Product Categorization by Title Using Deep Neural Networks as Feature Extractor. Leonardo S. Paulucio, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos |
| 2020 | Proximal Stochastic AUC Maximization. Majdi Khalid, Hamidreza Chitsaz, Indrakshi Ray |
| 2020 | Pruning Depthwise Separable Convolutions for MobileNet Compression. Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen |
| 2020 | Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan |
| 2020 | Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2020 | Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang |
| 2020 | PsychFM: Predicting your next gamble. Prakash Rajan, Krishna P. Miyapuram |
| 2020 | Psychological Effects of Compliment Expressions by Communication Robots on Humans. Motoki Iwashita, Daisuke Katagami |
| 2020 | PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor |
| 2020 | Q-learning with exploration driven by internal dynamics in chaotic neural network. Toshitaka Matsuki, Souya Inoue, Katsunari Shibata |
| 2020 | Quantifying Uncertainty in Neural Network Ensembles using U-Statistics. Jordan Schupbach, John W. Sheppard, Tyler Forrester |
| 2020 | Quantum Collaborative K-means. Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei |
| 2020 | Quantum ensemble of trained classifiers. Ismael C. S. Araujo, Adenilton J. da Silva |
| 2020 | Question Answering over Knowledge Base using Language Model Embeddings. Japa Sai Sharath, Banafsheh Rekabdar |
| 2020 | RAD: Reinforced Attention Decoder Model On Question Generation. Xin Li, Zhen Huang, Feng Liu, Changjian Wang, Minghao Hu, Shiyi Xu, Yuxing Peng |
| 2020 | RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç |
| 2020 | RCapsNet: A Recurrent Capsule Network for Text Classification. Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma |
| 2020 | RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection. Nicolás I. Tapia, Pablo A. Estévez |
| 2020 | RailNet: An Information Aggregation Network for Rail Track Segmentation. Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen |
| 2020 | Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet |
| 2020 | Range-Doppler Detection in Automotive Radar with Deep Learning. Weichong Ng, Guohua Wang, Siddhartha, Zhiping Lin, Bhaskar Jyoti Dutta |
| 2020 | ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series. George Kandilogiannakis, Paris A. Mastorocostas |
| 2020 | Real-time Trajectory Tracking of a Quadrotor using Adaptive Backstepping Controller and RNN based Uncertainty Observer. Subhash Chand Yogi, Vibhu Kumar Tripathi, Archit Krishna Kamath, Laxmidhar Behera |
| 2020 | Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. Andres Robles-Durazno, Naghmeh Moradpoor, James McWhinnie, Gordon Russell |
| 2020 | Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang |
| 2020 | Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso |
| 2020 | Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. Milad Mozafari, Leila Reddy, Rufin VanRullen |
| 2020 | Recurrent Neural Architecture Search based on Randomness-Enhanced Tabu Algorithm. Kai Hu, Shuo Tian, Shasha Guo, Nan Li, Li Luo, Lei Wang |
| 2020 | Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. Bryan Lim, Stefan Zohren, Stephen Roberts |
| 2020 | Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction. Yonas Yehualaeshet Tefera, Tewodros Kibatu, Bethelhem Seifu Shawel, Dereje Hailemariam Woldegebreal |
| 2020 | Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. Igor Khokhlov, Ninad Ligade, Leon Reznik |
| 2020 | Recurrent Point Review Models. Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda |
| 2020 | Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer. Chunpeng Wu, Bin Ni, Hai Li |
| 2020 | Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval. Franck Romuald Fotso Mtope, Bo Wei |
| 2020 | RegionSparse: Leveraging Sparse Coding and Object Localization to Counter Adversarial Attacks. Yunjian Zhang, Yanwei Liu, Liming Wang, Zhen Xu, Qiuqing Jin |
| 2020 | Regression-based Music Emotion Prediction using Triplet Neural Networks. Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans |
| 2020 | Regret Analysis of Stochastic Multi-armed Bandit Problem with Clustered Information Feedback. Tianchi Zhao, Bo Jiang, Ming Li, Ravi Tandon |
| 2020 | Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. Isaac J. Sledge, José C. Príncipe |
| 2020 | Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan |
| 2020 | Regularizing Pattern Recognition with Conditional Probability Estimates. Thomas Vacek |
| 2020 | Reinforced Sample Re-weighting for Pedestrian Attribute Recognition. Yuan Liu, Zhiping Lin |
| 2020 | Reinforcement Learning based Neural Architecture Search for Audio Tagging. Haiyang Liu, Cheng Zhang |
| 2020 | Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations. Luyang Hou, Shuai Ma, Jun Yan, Chun Wang, Jia Yuan Yu |
| 2020 | Reinforcement-based Program Induction in a Neural Virtual Machine. Garrett E. Katz, Khushboo Gupta, James A. Reggia |
| 2020 | RelationNet2: Deep Comparison Network for Few-Shot Learning. Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales |
| 2020 | Relative Robustness of Quantized Neural Networks Against Adversarial Attacks. Kirsty Duncan, Ekaterina Komendantskaya, Robert J. Stewart, Michael A. Lones |
| 2020 | Relative Vehicle Velocity Estimation Using Monocular Video Stream. Deepak Kumar Jain, Rachna Jain, Linqin Cai, Meenu Gupta, Yash Upadhyay |
| 2020 | Reliable Local Explanations for Machine Listening. Saumitra Mishra, Emmanouil Benetos, Bob L. T. Sturm, Simon Dixon |
| 2020 | Remote Extraction of Latent Fingerprints (RELF). Matthew McGuigan, Jacqueline Christmas |
| 2020 | Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring. Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton |
| 2020 | Reservoir Computing with Neuromemristive Nanowire Networks. Kaiwei Fu, Ruomin Zhu, Alon Loeffler, Joel Hochstetter, Adrian Diaz-Alvarez, Adam Z. Stieg, James K. Gimzewski, Tomonobu Nakayama, Zdenka Kuncic |
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| 2020 | Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. Yi Zhang, Jundong Shen, Zhecheng Zhang, Lei Zhang, Chongjun Wang |
| 2020 | Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu |
| 2020 | Retraining Quantized Neural Network Models with Unlabeled Data. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida |
| 2020 | Ring Reservoir Neural Networks for Graphs. Claudio Gallicchio, Alessio Micheli |
| 2020 | Risk and Trust Perceptions of the Public of Artifical Intelligence Applications. Keeley A. Crockett, Matthew A. Garratt, Annabel Latham, Edwin Colyer, Sean Goltz |
| 2020 | Risk-Controlled Selective Prediction for Regression Deep Neural Network Models. Wenming Jiang, Ying Zhao, Zehan Wang |
| 2020 | Robotic grasp detection using effective graspable feature selection and precise classification. Jiahao Zhang, Miao Li, Chenguang Yang |
| 2020 | Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World. Péter Almási, Róbert Moni, Bálint Gyires-Tóth |
| 2020 | Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization. Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion. Mingfei Lu, Lei Xing, Nanning Zheng, Badong Chen |
| 2020 | Robust Training of Vector Quantized Bottleneck Models. Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent |
| 2020 | Robust feature learning method for epileptic seizures prediction based on long-term EEG signals. Asma Baghdadi, Rahma Fourati, Yassine Aribi, Patrick Siarry, Adel M. Alimi |
| 2020 | Robustness to Noisy Synaptic Weights in Spiking Neural Networks. Chen Li, Runze Chen, Christoforos Moutafis, Steve B. Furber |
| 2020 | Rolling Bearing Fault Diagnosis under Variable Working Conditions Based on Joint Distribution Adaptation and SVM. Ming Li, Zhao-Hui Sun, Weihui He, Siqi Qiu, Bo Liu |
| 2020 | SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay |
| 2020 | SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. Chen Wang, Chengyuan Deng, Vladimir Ivanov |
| 2020 | SAR Image Specle Reduction based on a Generative Adversarial Network. Ruijiao Liu, Yangyang Li, Licheng Jiao |
| 2020 | SASRM: A Semantic and Attention Spatio-temporal Recurrent Model for Next Location Prediction. Xu Zhang, Boming Li, Chao Song, Zhengwen Huang, Yan Li |
| 2020 | SBN: Scale Balance Network for Accurate Salient Object Detection. Zhenshan Tan, Xiaodong Gu |
| 2020 | SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia |
| 2020 | SECL: Separated Embedding and Correlation Learning for Demographic Prediction in Ubiquitous Sensor Scenario. Yiwen Jiang, Wei Tang, Neng Gao, Chenyang Tu, Jia Peng, Min Li |
| 2020 | SENSE: a Student Performance Quantifier using Sentiment Analysis. Johanna Watkins, Marcos Fabietti, Mufti Mahmud |
| 2020 | SPSN: Seed Point Selection Network in Point Cloud Instance Segmentation. Fei Sun, Yangjie Xu, Weidong Sun |
| 2020 | STDP Training of Hierarchical Spike Timing Model of Visual Information Processing. Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev, Miroslava Stefanova, Bilyana Genova |
| 2020 | Safe Reinforcement Learning via Probabilistic Timed Computation Tree Logic. Li Qian, Jing Liu |
| 2020 | Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman |
| 2020 | Scaling Active Inference. Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley |
| 2020 | Scene Attention Mechanism for Remote Sensing Image Caption Generation. Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao |
| 2020 | Scene Text Recognition by Attention Network with Gated Embedding. Cong Wang, Cheng-Lin Liu |
| 2020 | Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean |
| 2020 | Segmented Pairwise Distance for Time Series with Large Discontinuities. Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao |
| 2020 | Seismic Event Detection via Deep Multi-Task Learning. Yang Yu, Lei Zhang, Jiakai Shen, Qingcai Wang, Guiquan Liu |
| 2020 | Selective Feature Network for Object Detection. Yuning Cui, Dianxi Shi, Yongjun Zhang, Qianchong Sun |
| 2020 | Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas |
| 2020 | Self-Learning with Stochastic Triplet Loss. João Ribeiro Pinto, Jaime S. Cardoso |
| 2020 | Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach. Antonio García Díaz, Hugues Bersini |
| 2020 | Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram |
| 2020 | Semantic Hierarchy-based Convolutional Neural Networks for Image Classification. Matheus Inoue, Carlos Henrique Quartucci Forster, Antonio Carlos dos Santos |
| 2020 | Semi-Supervised Domain-Adversarial Training for Intrusion Detection against False Data Injection in the Smart Grid. Yongxuan Zhang, Jun Yan |
| 2020 | Semi-supervised GANs for Fraud Detection Charitos Charitou, Artur S. d'Avila Garcez, Simo Dragicevic |
| 2020 | Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning. Hoon Chung, Hyeong-Bae Jeon, Jeon Gue Park |
| 2020 | Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do |
| 2020 | Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. Giulia Serafini, Ping Yi, Qingquan Zhang, Marco Brambilla, Jiayue Wang, Yiwei Hu, Beibei Li |
| 2020 | Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. Andrey V. Savchenko |
| 2020 | Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation. Tariq Mahmood Khan, Faizan Abdullah, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan |
| 2020 | Shift-Invariant Convolutional Network Search. Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao |
| 2020 | Should I Stay or Should I Grow? A Dynamic Self-Governed Growth for Determining Hidden Layer Size in a Multilayer Perceptron. Matt Ross, Nareg Berberian, Sylvain Chartier |
| 2020 | Sig-R Arijit Ukil, Soma Bandyopadhyay, Arpan Pal |
| 2020 | Similar land-form discovery: Complex absolute-value max pooling in complex-valued convolutional neural networks in interferometric synthetic aperture radar. Yuki Sunaga, Ryo Natsuaki, Akira Hirose |
| 2020 | Similitude Attentive Relation Network for Click-Through Rate Prediction. Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu |
| 2020 | Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder |
| 2020 | Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He |
| 2020 | Single Image Super-Resolution with Hierarchical Receptive Field. Ding Qin, Xiaodong Gu |
| 2020 | Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya, Spyros Samothrakis |
| 2020 | Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan |
| 2020 | SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. Pravendra Singh, Vinay P. Namboodiri |
| 2020 | Sky/Ground Segmentation Using Different Approaches. Arlete Teresinha Beuren, Alceu de Souza Britto Jr., Jacques Facon |
| 2020 | Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. Rim Haidar, Irena Koprinska, Bryn Jeffries |
| 2020 | Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2020 | Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. Bo Li, Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu, Shikun Zhang |
| 2020 | SoC Kohonen Maps Based on Stochastic Computing. Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals |
| 2020 | Soft Rotation Equivariant Convolutional Neural Networks. Eduardo Castro, José Costa Pereira, Jaime S. Cardoso |
| 2020 | Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly |
| 2020 | Solar Power Forecasting Based on Ensemble Learning Methods. Naylene Fraccanabbia, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Leandro dos Santos Coelho, Viviana Cocco Mariani |
| 2020 | Solving Discrete Dynamic Nonlinear Equation System Using New-Type DTG Model With Occasionally-Singular Jacobian Matrix. Binbin Qiu, Jinjin Guo, Xiaodong Li, Yunong Zhang |
| 2020 | Solving Raven's Progressive Matrices with Multi-Layer Relation Networks. Marius Jahrens, Thomas Martinetz |
| 2020 | Sound Event Detection with Depthwise Separable and Dilated Convolutions. Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen |
| 2020 | Sparse Attributed Network Embedding via Adaptively Aggregating Neighborhood Information. Ying Chen, Jingwei Zheng, Dagang Li |
| 2020 | Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose |
| 2020 | Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting. Chirath Pathiravasam, Paranietharan Arunagirinathan, Iroshani Jayawardene, Ganesh K. Venayagamoorthy, Yongqiang Wang |
| 2020 | SpikeSEG: Spiking Segmentation via STDP Saliency Mapping. Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich |
| 2020 | Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu |
| 2020 | Squeezed Deep 6DoF Object Detection using Knowledge Distillation. Heitor Felix, Walber M. Rodrigues, David L. Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin |
| 2020 | Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi |
| 2020 | Stein Variational Gradient Descent with Variance Reduction. Nhan Dam, Trung Le, Viet Huynh, Dinh Phung |
| 2020 | Stochastic Adversarial Learning for Domain Adaptation. Jen-Tzung Chien, Ching-Wei Huang |
| 2020 | Stochastic Convolutional Recurrent Networks. Jen-Tzung Chien, Yu-Min Huang |
| 2020 | Stochastic Curiosity Maximizing Exploration. Jen-Tzung Chien, Po-Chien Hsu |
| 2020 | Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity. Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane, Kamlesh Mistry |
| 2020 | Students Performance Prediction in Online Courses Using Machine Learning Algorithms. Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan |
| 2020 | Stylised Image Generation From Deep Neural Networks. Yameng Peng, Vic Ciesielski |
| 2020 | Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data. Alexandre Maciel-Guerra, Grazziela P. Figueredo, Eliane Marti, Marcos J. C. Alcocer, Jamie Twycross |
| 2020 | Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction. Zhenhua Shi, Dongrui Wu, Jian Huang, Yu-Kai Wang, Chin-Teng Lin |
| 2020 | Support Correlation Filters Tracking using Mask Matrix. Zhenyang Su, Jing Li, Zhiquan Ding, Tianqi Qin, Yafu Xiao |
| 2020 | Survey on Automated End-to-End Data Science? Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2020 | Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. Mattias Nilsson, Foteini Liwicki, Fredrik Sandin |
| 2020 | Syntax-Informed Interactive Neural Machine Translation. Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya, Andy Way |
| 2020 | Synthetic Sensor Data for Human Activity Recognition. Fayez Alharbi, Lahcen Ouarbya, Jamie A. Ward |
| 2020 | Systematic study on dimensionality reduction in the gesture phase segmentation problem. Victor G. O. M. Nicola, Renata C. B. Madeo, Sarajane M. Peres |
| 2020 | TAM-Net: Temporal Enhanced Appearance-to-Motion Generative Network for Video Anomaly Detection. Xiangli Ji, Bairong Li, Yuesheng Zhu |
| 2020 | TERG: Topic-Aware Emotional Response Generation for Chatbot. Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He |
| 2020 | TRec: Sequential Recommender Based On Latent Item Trend Information. Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu |
| 2020 | TSCNN: A 3D Convolutional Activity Recognition Network Based on RFID RSSI. Weiqing Huang, Yi Liu, Shao-yi Zhu, Siye Wang, Yanfang Zhang |
| 2020 | TSception: A Deep Learning Framework for Emotion Detection Using EEG. Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan |
| 2020 | TULSN: Siamese Network for Trajectory-user Linking. Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu |
| 2020 | Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. Muhammad Umer, Glenn Dawson, Robi Polikar |
| 2020 | Temporal Calibrated Regularization for Robust Noisy Label Learning. Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia |
| 2020 | Temporal Convolutional Neural Networks for Solar Power Forecasting. Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | Temporal Fusion Pointer network-based Reinforcement Learning algorithm for Multi-Objective Workflow Scheduling in the cloud. Binyang Wang, Huifang Li, Zhiwei Lin, Yuanqing Xia |
| 2020 | Text Classification using Triplet Capsule Networks. Yujia Wu, Jing Li, Vincent Chen, Jun Chang, Zhiquan Ding, Zhi Wang |
| 2020 | Textural and deep learning methods in recognition of renal cancer types based on CT images. Aleksandra Maria Osowska-Kurczab, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent |
| 2020 | The BlockChain Neural Network: Neuron as a Service. Will Serrano |
| 2020 | The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering |
| 2020 | The Impact of Audio Input Representations on Neural Network based Music Transcription. Kin Wai Cheuk, Kat Agres, Dorien Herremans |
| 2020 | The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. Florian Mirus, Terrence C. Stewart, Jörg Conradt |
| 2020 | The Variational Deficiency Bottleneck. Pradeep Kr. Banerjee, Guido Montúfar |
| 2020 | The Variational InfoMax AutoEncoder. Vincenzo Crescimanna, Bruce Graham |
| 2020 | The benefits of synthetic data for action categorization. Mohamad Ballout, Mohammad Tuqan, Daniel C. Asmar, Elie A. Shammas, George E. Sakr |
| 2020 | Time Series Prediction by Quaternionic Qubit Neural Network. Takuya Teguri, Teijiro Isokawa, Nobuyuki Matsui, Haruhiko Nishimura, Naotake Kamiura |
| 2020 | Time sensitivity and self-organisation in Multi-recurrent Neural Networks. Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud |
| 2020 | Time series ordinal classification via shapelets. David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez |
| 2020 | TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation. Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao |
| 2020 | TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study. Raghu Yelugam, Leonardo Enzo Brito da Silva, Donald C. Wunsch |
| 2020 | Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, George Siavalas, Christos Sgouros, P. Kyriakidis |
| 2020 | Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules. Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Sylvain Saïghi |
| 2020 | Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. Dario Zanca, Stefano Melacci, Marco Gori |
| 2020 | Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. Yao Qiang, Xin Li, Dongxiao Zhu |
| 2020 | Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman |
| 2020 | Towards Automatic EEG Signal Denoising by Quality Metric Optimization. Arthur Sena Lins Caldas, Eanes Torres Pereira, Niago Moreira Nobre Leite, Arthur Dimitri Brito Oliveira, Ellen Ribeiro Lucena |
| 2020 | Towards Best Practice in Explaining Neural Network Decisions with LRP. Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin |
| 2020 | Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial |
| 2020 | Towards Intelligent Control via Genetic Programming. Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi |
| 2020 | Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti |
| 2020 | Towards Personalized Aesthetic Image Caption. Kun Xiong, Liu Jiang, Xuan Dang, Guolong Wang, Wenwen Ye, Zheng Qin |
| 2020 | Towards Precise End-to-end Semi-Supervised Human Head Detection Network. Rongchun Li, Junjie Zhang, Yuntao Liu, Yong Dou |
| 2020 | Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio |
| 2020 | Towards Real-time Video Content Detection in Resource Constrained Devices. Jhonatan Geremias, Altair O. Santin, Eduardo K. Viegas, Alceu S. Britto Jr. |
| 2020 | Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning. Meilin Zhou, Qi Liang, Lu Ma, Dan Luo, Peng Zhang, Bin Wang |
| 2020 | Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero |
| 2020 | Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning. Nuno Dionísio, Fernando Alves, Pedro M. Ferreira, Alysson Bessani |
| 2020 | Training DNN IoT Applications for Deployment On Analog NVM Crossbars. Fernando García-Redondo, Shidhartha Das, Glen Rosendale |
| 2020 | Trait depressivity prediction with EEG signals via LSBoost. Shenghuan Zhang, Brendan McCane, Phoebe Neo, Shabah M. Shadli, Neil McNaughton |
| 2020 | TransKP: Transformer based Key-Phrase Extraction. Mukund Rungta, Rishabh Kumar, Mehak Preet Dhaliwal, Hemant Tiwari, Vanraj Vala |
| 2020 | Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya |
| 2020 | Transfer Learning by Weighting Convolution. Stéphane Ayache, Ronan Sicre, Thierry Artières |
| 2020 | Transfer Learning in Smart Home Scenario. Sonia, Rashmi Dutta Baruah |
| 2020 | Transfer learning in hierarchical dialogue topic classification with neural networks César Montenegro, Roberto Santana, José Antonio Lozano |
| 2020 | Transformation Based Deep Anomaly Detection in Astronomical Images. Esteban Reyes, Pablo A. Estévez |
| 2020 | Transformer Decoder Based Reinforcement Learning Approach for Conversational Response Generation. Farshid Faal, Jia Yuan Yu, Ketra A. Schmitt |
| 2020 | Tree Echo State Autoencoders with Grammars. Benjamin Paassen, Irena Koprinska, Kalina Yacef |
| 2020 | Triplet Loss for Knowledge Distillation. Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita |
| 2020 | True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay. Abdulrahman Altahhan |
| 2020 | Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. Zishan Ahmad, Mukuntha N. S., Asif Ekbal, Pushpak Bhattacharyya |
| 2020 | Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods. Cephas A. S. Barreto, Anne Magály de Paula Canuto, João C. Xavier Junior, Arthur Costa Gorgônio, Douglas F. A. Lima, Ranna R. F. da Costa |
| 2020 | Two-Microphone End-to-End Speaker Joint Identification and Localization Via Convolutional Neural Networks. Daniele Salvati, Carlo Drioli, Gian Luca Foresti |
| 2020 | Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun |
| 2020 | Two-stage Strategy for Small-footprint Wake-up-word Speech Recognition System. Xinya You, Yajie Zhao, Mingyuan Sun |
| 2020 | U-Net and Active Contour Methods for Brain Tumour Segmentation and Visualization. Estera Kot, Zuzanna Krawczyk, Krzysztof Siwek, Piotr S. Czwarnowski |
| 2020 | U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections. Weiqin Ying, Junhui Li, Yu Wu, Kaijie Zheng, Yali Deng, Jiachen Li |
| 2020 | Uncertainty Quantification Neural Network from Similarity and Sensitivity. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi |
| 2020 | Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad |
| 2020 | Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach. Caetano Mazzoni Ranieri, Patrícia A. Vargas, Roseli A. F. Romero |
| 2020 | Underwater object detection using Invert Multi-Class Adaboost with deep learning. Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou |
| 2020 | Unified Graph Embedding-Based Anomalous Edge Detection. Linshu Ouyang, Yongzheng Zhang, Yipeng Wang |
| 2020 | Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder. Andre Mendes, Julian Togelius, Leandro dos Santos Coelho |
| 2020 | Universal Adversarial Perturbations in Epileptic Seizure Detection. Amir Aminifar |
| 2020 | Universum least squares twin parametric-margin support vector machine. Bharat Richhariya, Muhammad Tanveer |
| 2020 | Unleashing the Potential of Attention Model for News Headline Generation. Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu |
| 2020 | Unseen Target Stance Detection with Adversarial Domain Generalization. Zhen Wang, Qiansheng Wang, Chengguo Lv, Xue Cao, Guohong Fu |
| 2020 | Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing. Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei |
| 2020 | Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval. Dong Chen, MiaoMiao Cheng, Chen Min, Liping Jing |
| 2020 | Unsupervised Embeddings for Categorical Variables. Hannes De Meulemeester, Bart De Moor |
| 2020 | Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. Devdhar Patel, Robert Kozma |
| 2020 | Unsupervised Learning of Disentangled Location Embeddings. Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang |
| 2020 | Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana |
| 2020 | Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks. Caetano Mazzoni Ranieri, Renan Cipriano Moioli, Roseli A. F. Romero, Mariana F. P. de Araújo, Maxwell Barbosa De Santana, Jhielson M. Pimentel, Patrícia A. Vargas |
| 2020 | User Alignment with Jumping Seed Alignment Information Propagation. Xiang Li, Yijun Su, Neng Gao, Ji Xiang, Yuewu Wang |
| 2020 | Using Autoencoders for Anomaly Detection in Hard Disk Drives. Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam C. Machado |
| 2020 | Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya |
| 2020 | Using Self-Attention LSTMs to Enhance Observations in Goal Recognition. Leonardo Amado, Gabriel Paludo Licks, Matheus Marcon, Ramon Fraga Pereira, Felipe Meneguzzi |
| 2020 | Using Word2Vec Recommendation for Improved Purchase Prediction. Ramazan Esmeli, Mohamed Bader-El-Den, Hassana Abdullahi |
| 2020 | Using a 3D CNN for Rejecting False Positives on Pedestrian Detection. Francisco Gomez-Donoso, Edmanuel Cruz, Miguel Cazorla, Stewart Worrall, Eduardo M. Nebot |
| 2020 | Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks. Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso |
| 2020 | VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues |
| 2020 | Variational Bayesian Parameter-Based Policy Exploration. Tikara Hosino |
| 2020 | Variational Clustering: Leveraging Variational Autoencoders for Image Clustering. Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick |
| 2020 | Vehicle Re-Identification by Deep Feature Embedding and Approximate Nearest Neighbors. Artur O. R. Franco, Felipe F. Soares, Aloísio Vieira Lira Neto, José A. F. de Macêdo, Paulo A. L. Rego, Fernando A. C. Gomes, José G. R. Maia |
| 2020 | Video object segmentation using spatio-temporal deep network. Akshaya Ramaswamy, Jayavardhana Gubbi, P. Balamuralidhar |
| 2020 | Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data. Aufar Zakiev, Tatyana Tsoy, Ksenia Shabalina, Evgeni Magid, Subir Kumar Saha |
| 2020 | Vision-Based Analysis on Leaves of Tomato Crops for Classifying Nutrient Deficiency using Convolutional Neural Networks. Claudio Cevallos, Hiram Ponce, Ernesto Moya-Albor, Jorge Brieva |
| 2020 | Visual Relational Reasoning for Image Caption. Haolei Pei, Qiaohong Chen, Ji Wang, Qi Sun, Yubo Jia |
| 2020 | Visual-to-Semantic Hashing for Zero Shot Learning. Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai |
| 2020 | Visualisation and knowledge discovery from interpretable models. Sreejita Ghosh, Peter Tiño, Kerstin Bunte |
| 2020 | Visualization of topographical internal representation of learning robots. Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono |
| 2020 | Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation. Fabricio A. Breve, Carlos N. Fischer |
| 2020 | Vocoder-free End-to-End Voice Conversion with Transformer Network. June-Woo Kim, Ho-Young Jung, Minho Lee |
| 2020 | Voice over LTE Quality Evaluation Using Convolutional Neural Networks. Thomas Gorman, Hadi Larijani, Ayyaz-Ul-Haq Qureshi |
| 2020 | Vowel Sound Imagery Decoding by a Capsule Network for the Design of an Automatic Mind-Driven Type-Writer. Sayantani Ghosh, Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar |
| 2020 | WW-Nets: Dual Neural Networks for Object Detection. Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle |
| 2020 | Wasserstein Exponential Kernels. Henri De Plaen, Michaël Fanuel, Johan A. K. Suykens |
| 2020 | Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price. Zhiwen Zeng, Matloob Khushi |
| 2020 | Weakly Supervised Object Localization Using Self-Paced Pyramid Adversarial Learning. Fucheng Pan, Beilei Bian, Binxu Wang, Yueping Yang, Xiaoming Ju |
| 2020 | What You Get is More Than What You See - or Less - in Models of Human Decision Making. Daniel S. Levine |
| 2020 | When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures. Gil Fidel, Ron Bitton, Asaf Shabtai |
| 2020 | Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini |
| 2020 | Why Not? Tell us the Reason for Writer Dissimilarity. Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin, Michael Blumenstein |
| 2020 | Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings. Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton |
| 2020 | Working-memory prefrontal model for cognitive flexibility in task-switching and selection. Julien Abrossimoff, Alexandre Pitti, Philippe Gaussier |
| 2020 | YOLO and Morphing-based Method for 3D Individualised Bone Model Creation. Zuzanna Krawczyk, Jacek Starzynski |
| 2020 | YOLO-ASC: You Only Look Once And See Contours. Petr Hurtík, Vojtech Molek, Pavel Vlasánek |
| 2020 | YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection. Adrian Horzyk, Efe Ergün |
| 2020 | ZF Model Efficiency for Automatic Hand Detection in Vehicles. Sofiane Medjram, Saïda Bouakaz |
| 2020 | Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng |
| 2020 | Zero-Shot Source Code Author Identification: A Lexicon and Layout Independent Approach. Pegah Hozhabrierdi, Dunai Fuentes Hitos, Chilukuri K. Mohan |
| 2020 | k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl |
| 2020 | n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. Shruti Landge, Vivek Saraswat, Srisht Fateh Singh, Udayan Ganguly |
| 2020 | pcIRM: Complex Ideal Ratio Masking for Speaker-Independent Monaural Source Separation with Utterance Permutation Invariant Training. Wen Zhang, Xiaoyong Li, Aolong Zhou, Kaijun Ren, Junqiang Song |