| 2019 | 3D Room Reconstruction from A Single Fisheye Image. Mingyang Li, Yi Zhou, Ming Meng, Yuehua Wang, Zhong Zhou |
| 2019 | 3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. Alexander M. Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir K. Dhar, Jide O. Familoni, Scott T. Acton, Khan M. Iftekharuddin |
| 2019 | A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation. Masatoshi Yamaguchi, Yuichi Katori, Daichi Kamimura, Hakaru Tamukoh, Takashi Morie |
| 2019 | A Character-Enhanced Chinese Word Embedding Model. Gang Yang, Hongzhe Xu, Tianhao He, Zaishang Cai |
| 2019 | A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting. Md. Rashedul Haq, Zhen Ni |
| 2019 | A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy |
| 2019 | A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. Martin Llofriu, Pablo Scleidorovich, Gonzalo Tejera, Marco Contreras, Tatiana Pelc, Jean-Marc Fellous, Alfredo Weitzenfeld |
| 2019 | A Convolutional Neural Network with Two-Channel Input for Image Super-Resolution. Purbaditya Bhattacharya, Udo Zölzer |
| 2019 | A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. Wissam Siblini, Frank Meyer, Pascale Kuntz |
| 2019 | A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks. Mengting Li, Jian Jin, Wen Wu, Yan Yang, Liang He, Jing Yang |
| 2019 | A Data Stratification Process for Instances Selection in Semi-Supervised Learning. Karliane M. O. Vale, Anne Magály de Paula Canuto, Flavius L. Gorgônio, Amarildo J. F. de Lucena, Cainan T. Alves, Arthur C. Gorgônio, Araken M. Santos |
| 2019 | A Deep Bidirectional Highway Long Short-Term Memory Network Approach to Chinese Semantic Role Labeling. Qi Xia, Chung-Hsing Yeh, Xiang-yu Chen |
| 2019 | A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation. Yu Wang, Changsheng Li, Ting Zhu, Chongchong Yu |
| 2019 | A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas Trappenberg, Xujiong Ye |
| 2019 | A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele |
| 2019 | A Deep Neural Network Model for Predicting User Behavior on Facebook. Hanen Ameur, Salma Jamoussi, Abdelmajid Ben Hamadou |
| 2019 | A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams. João Roberto Bertini Junior |
| 2019 | A Distant Supervised Relation Extraction Model with Two Denoising Strategies. Zikai Zhou, Yi Cai, Jingyun Xu, Jiayuan Xie, Qing Li, Haoran Xie |
| 2019 | A Fast Feature Extraction Algorithm for Image and Video Processing. Sadiq H. Abdulhussain, Abd. Rahman Ramli, Basheera M. Mahmmod, M. Iqbal Saripan, S. A. R. Al-Haddad, Thar Baker, Wameedh Nazar Flayyih, Wissam A. Jassim |
| 2019 | A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. Di Sheng, György Fazekas |
| 2019 | A GAN Model With Self-attention Mechanism To Generate Multi-instruments Symbolic Music. Faqian Guan, Chunyan Yu, Suqiong Yang |
| 2019 | A Gaussian Process-based Self-Organizing Incremental Neural Network. Xiaoyu Wang, Giona Casiraghi, Yan Zhang, Jun-ichi Imura |
| 2019 | A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles. Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe |
| 2019 | A Hierarchical Convolutional Neural Network for Malware Classification. Daniel Gibert, Carles Mateu, Jordi Planes |
| 2019 | A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara |
| 2019 | A Hybrid Character Representation for Chinese Event Detection. Xiangyu Xi, Tong Zhang, Wei Ye, Jinglei Zhang, Rui Xie, Shikun Zhang |
| 2019 | A Hybrid Convolutional Approach for Parking Availability Prediction. Hadi Samer Jomaa, Josif Grabocka, Lars Schmidt-Thieme, Alexander Borek |
| 2019 | A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang |
| 2019 | A Kernel Discriminant Information Approach to Non-linear Feature Selection. Zejiang Hou, Sun-Yuan Kung |
| 2019 | A Low-Memory Learning Formulation for a Kernel-and-Range Network. Huiping Zhuang, Zhiping Lin, Kar-Ann Toh |
| 2019 | A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. Jérémie Cabessa, Alessandro E. P. Villa |
| 2019 | A Method based on Convolutional Neural Networks for Fingerprint Segmentation. Paulo Bruno S. Serafim, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, José Gilvan Rodrigues Maia, Fernando Antonio Mota Trinta, Marcio E. F. Maia, José Antônio Fernandes de Macêdo, Aloísio Vieira Lira Neto |
| 2019 | A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling. José Carlos C. L. da Silva Filho, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Ivan Saraiva Silva |
| 2019 | A Method of Pedestrian Fine-grained Attribute Detection and Recognition. Xian-Qin Ma, Chongchong Yu, Xin Yang, Xiuxin Chen, Jianzhang Chen, Lan Zhou |
| 2019 | A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba |
| 2019 | A Model Based on Siamese Neural Network for Online Transaction Fraud Detection. Xinxin Zhou, Zhaohui Zhang, Lizhi Wang, Pengwei Wang |
| 2019 | A Modular Approach to Construction of Spiking Neural Networks. KyungHee Lee, Hongchi Shi |
| 2019 | A Multi-Application, Scalable and Adaptable Hardware SOM Architecture. Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui |
| 2019 | A Multi-Attentive Pyramidal Model for Visual Sentiment Analysis. Xiaohao He, Huijun Zhang, Ningyun Li, Ling Feng, Feng Zheng |
| 2019 | A Multi-granularity Neural Network for Answer Sentence Selection. Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu |
| 2019 | A Multi-model Ensemble Method Using CNN and Maximum Correntropy Criterion for Basal Cell Carcinoma and Seborrheic Keratoses Classification. Leida Guo, Shaoyi Du, Yuting Chi, Wenting Cui, Panpan Song, Jihua Zhu, Songmei Geng, Meifeng Xu |
| 2019 | A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. Hang Miao, Ruifang Liu, Sheng Gao |
| 2019 | A Multiple Kernel Machine with Incremental Learning using Sparse Representation. Ali Pezeshki, Mahmood R. Azimi-Sadjadi, Christopher Robbiano |
| 2019 | A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris |
| 2019 | A Multivariate Fuzzy Kohonen Clustering Network. Rodrigo B. de C. Cavalcanti, Bruno A. Pimentel, Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza |
| 2019 | A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li |
| 2019 | A Neural Field Model for Supervised and Unsupervised Learning of the MNIST Dataset. Michael Connolly Brady |
| 2019 | A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion. Xiaodong Qi, Xiabi Liu, Said Boumaraf |
| 2019 | A New Knowledge Distillation for Incremental Object Detection. Li Chen, Chunyan Yu, Lvcai Chen |
| 2019 | A Novel Clustering Algorithm based on Directional Propagation of Cluster Labels. Na Xiao, Kenli Li, Xu Zhou, Keqin Li |
| 2019 | A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction. Hui Liu, Zhenyu Liu, Weiqiang Jia, Xianke Lin |
| 2019 | A Novel End-to-End Multiple Tagging Model for Knowledge Extraction. Yunhua Song, Hongyun Bao, Zhineng Chen, Jian-quan Ouyang |
| 2019 | A Novel Group-Aware Pruning Method for Few-shot Learning. Yin-Dong Zheng, Yun-Tao Ma, Ruo-Ze Liu, Tong Lu |
| 2019 | A Novel LSTM Approach for Asynchronous Multivariate Time Series Prediction. King Ma, Henry Leung |
| 2019 | A Novel Neural Approach for News Reprint Prediction. Riheng Yao, Qiudan Li, Lei Wang, Daniel Dajun Zeng |
| 2019 | A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang |
| 2019 | A Novel Two-Factor Attention Encoder-Decoder Network through Combining Temporal and Prior Knowledge for Weather Forecasting. Minglei Yuan, Xiaozhong Ji, Tong Lu, Pengfei Chen, Hualu Zhang |
| 2019 | A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing. Chaitanya Nagpal, Shiv Ram Dubey |
| 2019 | A Position-aware Transformation Network for Aspect-level Sentiment Classification. Tao Jiang, Jiahai Wang, Youwei Song, Yanghui Rao |
| 2019 | A Preprocessing Layer in Spiking Neural Networks - Structure, Parameters, Performance Criteria. Mikhail V. Kiselev, Andrey Lavrentyev |
| 2019 | A Prior Setting that Improves LDA in both Document Representation and Topic Extraction. Juncheng Ding, Wei Jin |
| 2019 | A Proof of Local Convergence for the Adam Optimizer. Sebastian Bock, Martin Georg Weiß |
| 2019 | A QoS-oriented Scheduling and Autoscaling Framework for Deep Learning. Sikai Xing, Shiyou Qian, Bin Cheng, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li |
| 2019 | A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi |
| 2019 | A Robust Embedding Method for Anomaly Detection on Attributed Networks. Le Zhang, Jun Yuan, Zeyi Liu, Yang Pei, Lei Wang |
| 2019 | A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds. Pedro H. M. Braga, Hansenclever F. Bassani |
| 2019 | A Semi-supervised Classification Using Gated Linear Model. Yanni Ren, Weite Li, Jinglu Hu |
| 2019 | A Shortcut-Stacked Document Encoder for Extractive Text Summarization. Peng Yan, Linjing Li, Daniel Zeng |
| 2019 | A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation. Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio M. G. Solinas, Giacomo Indiveri |
| 2019 | A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang |
| 2019 | A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices. Won-Mook Kang, Chul-Heung Kim, Soochang Lee, Sung Yun Woo, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee |
| 2019 | A Super-Resolution Generative Adversarial Network with Simplified Gradient Penalty and Relativistic Discriminator. Hui Yu, Haitao Sa, Dafang Zou, Jiafa Mao, Weiguo Sheng |
| 2019 | A Support Tensor Train Machine. Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong |
| 2019 | A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra |
| 2019 | A TOI based CNN with Location Regression for Insurance Contract Analysis. Kai Zhang, Lin Sun, Fule Ji |
| 2019 | A Three-Modules Scenario in An Interpretation of Visual Hallucination in Dementia With Lewy Bodies and Preliminary Results of Computer Experiments. Shigetoshi Nara, Hiroshi Fujii, Hiromichi Tsukada, Ichiro Tsuda |
| 2019 | A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing. Cosimo Ieracitano, Nadia Mammone, Alessia Bramanti, Silvia Marino, Amir Hussain, Francesco Carlo Morabito |
| 2019 | A Transformer-Based Variational Autoencoder for Sentence Generation. Danyang Liu, Gongshen Liu |
| 2019 | A Unified Approach on Active Learning Dual Supervision. Adrian Chriswanto, Hsing-Kuo Pao, Yuh-Jye Lee |
| 2019 | A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction. Pengrui Wang, Yi Tian, WuJun Che, Bo Xu |
| 2019 | A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data. João Roberto Bertini Junior, Mei Abe Funcia, Antonio Alberto S. Santos, Denis J. Schiozer |
| 2019 | A computational model of multi-sensory perception and its application to investigating the controversy around learning styles. A. Ravishankar Rao |
| 2019 | A new Spectral-Spatial Pseudo-3D Dense Network for Hyperspectral Image Classification. Ailin Li, Zhaowei Shang |
| 2019 | A novel hardware-efficient CPG model for a hexapod robot based on nonlinear dynamics of coupled asynchronous cellular automaton oscillators. Kentaro Takeda, Hiroyuki Torikai |
| 2019 | A temporal encoding method based on expansion representation. Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan |
| 2019 | ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li |
| 2019 | AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das |
| 2019 | Absolute Human Pose Estimation with Depth Prediction Network. Márton Véges, András Lorincz |
| 2019 | Abstractive Summarization with Keyword and Generated Word Attention. Qianlong Wang, Jiangtao Ren |
| 2019 | Abstractive Text Summarization with Multi-Head Attention. Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Pengcheng Liao, Peng Zhang |
| 2019 | Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting. Baohua Liu, Wenfeng Shen, Peng Li, Xin Zhu |
| 2019 | Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu |
| 2019 | Accelerating the Deep Reinforcement Learning with Neural Network Compression. Hongjie Zhang, Zhuocheng He, Jing Li |
| 2019 | Across-Sensor Feature Learning for Energy-Efficient Activity Recognition on Mobile Devices. Yuriy Gavrilin, Adil Khan |
| 2019 | Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning. Ryosuke Tanaka, Jinseok Woo, Naoyuki Kubota |
| 2019 | Active Learning with Interpretable Predictor. Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino |
| 2019 | Active visual object exploration and recognition with an unmanned aerial vehicle. Uriel Martinez-Hernandez, Victor M. Cedeno-Campos, Adrian Rubio-Solis |
| 2019 | Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro |
| 2019 | AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture. Amy Peerlinck, John Sheppard, Jacob J. Senecal |
| 2019 | Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie |
| 2019 | Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation. Pedram Agand, Mahdi Aliyari Shoorehdeli |
| 2019 | Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach. Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Zezhi Sui |
| 2019 | Adaptive Random Forests with Resampling for Imbalanced data Streams. Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira |
| 2019 | Additive Margin SincNet for Speaker Recognition. João Antônio Chagas Nunes, David L. Macêdo, Cleber Zanchettin |
| 2019 | Adversarial Action Data Augmentation for Similar Gesture Action Recognition. Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein |
| 2019 | Adversarial Attacks on Deep Neural Networks for Time Series Classification. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller |
| 2019 | Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder |
| 2019 | Adversarial Collaborative Auto-encoder for Top-N Recommendation. Feng Yuan, Lina Yao, Boualem Benatallah |
| 2019 | Adversarial Domain Adaptation via Category Transfer. Lusi Li, Haibo He, Jie Li, Guang Yang |
| 2019 | Adversarial Imitation Learning via Random Search. Myungjae Shin, Joongheon Kim |
| 2019 | Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks. Shuangwei Liu, Yunzhou Zhang, Lin Qi, Sonya Coleman, Dermot Kerr, Shangdong Zhu |
| 2019 | Age and Gender Estimation via Deep Dictionary Learning Regression. Vanika Singhal, Angshul Majumdar |
| 2019 | Aggregation Connection Network For Tiny Face Detection. Chan Zhang, Tao Li, Song Guo, Ning Li, Yingqi Gao, Kai Wang |
| 2019 | Agile Domain Adaptation. Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang |
| 2019 | An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection. Stefano Marrone, Carlo Sansone |
| 2019 | An Analysis on the Learning Rules of the Skip-Gram Model. Canlin Zhang, Xiuwen Liu, Daniel Bis |
| 2019 | An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. Yifei Hu, Vincent C. S. Lee, Kenneth Tan |
| 2019 | An Approach to Cross-Lingual Voice Conversion. Sai Sirisha Rallabandi, Suryakanth V. Gangashetty |
| 2019 | An Attention-Based Model for Learning Dynamic Interaction Networks. Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai |
| 2019 | An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification. Fan Liu, Xingshe Zhou, Tianben Wang, Jinli Cao, Zhu Wang, Hua Wang, Yanchun Zhang |
| 2019 | An Efficient Framework by Topic Model for Multi-label Text Classification. Wei Sun, Xiangying Ran, Xiangyang Luo, Chongjun Wang |
| 2019 | An Electronic Neuron with Input-Specific Spiking. Rebecca K. Lee, Alice C. Parker |
| 2019 | An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui |
| 2019 | An End-to-End Location and Regression Tracker with Attention-based Fused Features. Qinyi Zhang, Shishuai Du, Huihua Yang |
| 2019 | An Improved Recurrent Neural Network Language Model for Programming Language. Liwei Wu, Youhua Wu, Fei Li, Tao Zheng |
| 2019 | An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem. Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao |
| 2019 | An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming |
| 2019 | An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction. Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng |
| 2019 | An MCTS-based Adversarial Training Method for Image Recognition. Yi-Ling Liu, Alessio Lomuscio |
| 2019 | An Object Detection by using Adaptive Structural Learning of Deep Belief Network. Shin Kamada, Takumi Ichimura |
| 2019 | An ensemble strategy for Haplotype Inference based on the internal variability of algorithms. Rogério S. Rosa, Lucas F. S. Cambuim, Edna Natividade da Silva Barros |
| 2019 | An undercomplete autoencoder to extract muscle synergies for motor intention detection. Domenico Buongiorno, Cristian Camardella, Giacomo Donato Cascarano, Luis Pelaez Murciego, Michele Barsotti, Irio De Feudis, Antonio Frisoli, Vitoantonio Bevilacqua |
| 2019 | Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Nicholas Cummins, Björn W. Schuller |
| 2019 | Analysis of Two Various Approaches for Attributes Classification Based on User-Submitted Photos. Wendy D. W. T. Bayu, May Iffah Rizki, Lintang Matahari Hasani, Valian Fil Ahli, Ari Wibisono, Petrus Mursanto |
| 2019 | Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. Takanori Akiyama, Gouhei Tanaka |
| 2019 | Analyzing Minimal Complexity Machines. Shigeo Abe |
| 2019 | Analyzing Multi-Channel Networks for Gesture Recognition. Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper |
| 2019 | Analyzing the impact of data representations in classification problems using clustering. Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira |
| 2019 | Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour. Huatian Wang, Qinbing Fu, Hongxin Wang, Jigen Peng, Paul Baxter, Cheng Hu, Shigang Yue |
| 2019 | Anomaly Detection for Visual Quality Control of 3D-Printed Products. Loek Tonnaer, Jiapeng Li, Vladimir Osin, Mike Holenderski, Vlado Menkovski |
| 2019 | AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. Yi Wang, Brendan McCane, Neil McNaughton, Zhiyi Huang, Shabah M. Shadli, Phoebe Neo |
| 2019 | Application Inference using Machine Learning based Side Channel Analysis. Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay |
| 2019 | Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu |
| 2019 | Approximating Binarization in Neural Networks. Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela |
| 2019 | Are Traditional Neural Networks Well-Calibrated? Ulf Johansson, Patrick Gabrielsson |
| 2019 | Aspect-level Sentiment Classification with Reinforcement Learning. Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He |
| 2019 | Attention-Driven Driving Maneuver Detection System. Xishuai Peng, Ava Zhao, Song Wang, Yi Lu Murphey, Yuanxiang Li |
| 2019 | Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Hao Tang, Dan Xu, Nicu Sebe, Yan Yan |
| 2019 | Attention-based Adversarial Training for Seamless Nudity Censorship. Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros |
| 2019 | Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. Zeyuan Wang, Josiah Poon, Shiding Sun, Simon K. Poon |
| 2019 | Attention-driven Multi-sensor Selection. Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu |
| 2019 | Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu |
| 2019 | Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. Shahin Amiriparian, Arsany Awad, Maurice Gerczuk, Lukas Stappen, Alice Baird, Sandra Ottl, Björn W. Schuller |
| 2019 | Author Disambiguation through Adversarial Network Representation Learning. Liwen Peng, Siqi Shen, Dongsheng Li, Jun Xu, Yongquan Fu, Huayou Su |
| 2019 | Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó |
| 2019 | Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. Bas van Stein, Hao Wang, Thomas Bäck |
| 2019 | Automatic Image Annotation based on Co-Training. Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao |
| 2019 | Automatic Source Code Summarization with Extended Tree-LSTM. Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, Atsushi Miyamoto, Tadayuki Matsumura |
| 2019 | Automatic detection of the support points in relational clustering. Parisa Rastin, Younès Bennani, Rosanna Verde |
| 2019 | Autoregressive Models for Sequences of Graphs. Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi |
| 2019 | AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. Yueyao Yu, Pengfei Yu, Wenye Li |
| 2019 | BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation. Jiaxing Wang, Weiqun Wang, Zeng-Guang Hou, Weiguo Shi, Xu Liang, Shixin Ren, Liang Peng, Yan-Jie Zhou |
| 2019 | Bacteria shape classification by the use of region covariance and Convolutional Neural Network. Dawid Polap, Marcin Wozniak |
| 2019 | Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. Haider Raza, Spyridon Samothrakis |
| 2019 | Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation. Yao Tan, Qinghua Hu, Zhibin Du |
| 2019 | Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. Daniele Castellana, Davide Bacciu |
| 2019 | Behaviors of Reservoir Computing Models for Textual Documents Classification. Nils Schaetti |
| 2019 | Benchmarking multi-task learning in predictive models for drug discovery. Philippa Grace McCabe, Sandra Ortega-Martorell, Iván Olier |
| 2019 | Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution. Yunwei Zhao, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Min Shu |
| 2019 | Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study. Stéphane Cholet, Hélène Paugam-Moisy, Sébastien Régis |
| 2019 | Bidirectional Learning for Robust Neural Networks. Sidney Pontes-Filho, Marcus Liwicki |
| 2019 | Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza |
| 2019 | Biploar Fuzzy Rough Cognitive Network. Hua Zheng |
| 2019 | Boosted GAN with Semantically Interpretable Information for Image Inpainting. Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri |
| 2019 | Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. Zhen Liang, Hiroshi Higashi, Shigeyuki Oba, Shin Ishii |
| 2019 | CARL: Aggregated Search with Context-Aware Module Embedding Learning. Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng |
| 2019 | CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling. Syed Adnan Yusuf, Abdul Samad, David James Garrity |
| 2019 | COMC: A Framework for Online Cross-domain Multistream Classification. Hemeng Tao, Zhuoyi Wang, Yifan Li, Mahmoud Zamani, Latifur Khan |
| 2019 | CSSD: Cascade Single Shot Face Detector. Shuainan Wang, Tong Xu, Wei Li, Haifeng Sun |
| 2019 | Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics. Fausto Fasano, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2019 | Cascaded Neural Network for Memristor based Neuromorphic Computing. Shengyang Sun, Hui Xu, Jiwei Li, Haijun Liu, Qingjiang Li |
| 2019 | Celebrities-ReID: A Benchmark for Clothes Variation in Long-Term Person Re-Identification. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong |
| 2019 | Cellular Computational Network for Distributed Power Flow Inferencing in Electric Distribution Systems. Hasala Dharmawardena, Ganesh K. Venayagamoorthy |
| 2019 | Chaotic Neural Network Reservoir. Yoshihiko Horio |
| 2019 | Character-Aware Convolutional Recurrent Networks with Self-Attention for Emotion Detection on Twitter. Jiangping Huang, Chunli Xiang, Shuwei Yuan, Desen Yuan, Xiaorui Huang |
| 2019 | ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig |
| 2019 | Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries. Ningjie Lu, Jun Zheng, Wen Wu, Yan Yang, Kaiwei Chen, Wenxin Hu |
| 2019 | Classification and Regression Analysis of Lung Tumors from Multi-level Gene Expression Data. Pratheeba Jeyananthan, Mahesan Niranjan |
| 2019 | Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network. Wilson Leal Rodrigues Junior, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Bruno Vicente Alves de Lima, Jose Eduardo Almeida de Alencar |
| 2019 | Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey. Michael Brice, Razvan Andonie |
| 2019 | Closed-loop Central Pattern Generator Control of Human Gaits in OpenSim Simulator. Andrii Shachykov, Oleksandr Shuliak, Patrick Hénaff |
| 2019 | Closer to Optimal Angle-Constrained Path Planning. Changwu Zhang, Hengzhu Liu, Yuchen Tang |
| 2019 | Clustering interval-valued data with automatic variables weighting. Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho |
| 2019 | Clustering-enhanced PointCNN for Point Cloud Classification Learning. Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le |
| 2019 | Collaboration of Machines and Robots in Cyber Physical Systems based on Evolutionary Computation Approach. Fu-Shiung Hsieh |
| 2019 | Collaborative Multi-key Learning with an Anonymization Dataset for a Recommender System. Linh Nguyen, Tsukasa Ishigaki |
| 2019 | Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen |
| 2019 | Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling. Zi Long, Lianzhi Tan, Shengping Zhou, Chaoyang He, Xin Liu |
| 2019 | Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick |
| 2019 | Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation. Virginia Ortiz Andersson, Cristian Cechinel, Ricardo Matsumura de Araújo |
| 2019 | Combining convolutional side-outputs for road image segmentation. Felipe A. L. Reis, Raquel Almeida, Ewa Kijak, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. do Patrocínio |
| 2019 | Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz |
| 2019 | Community Detection with Indirect Neighbors based on Granular Computing in Social Networks. Naiyue Chen, Jie He, Xiang Wang, Zhiyuan Zhang, Ping Yang, Yanping Fu |
| 2019 | Compact Cluster-based Balanced Distribution Adaptation for Transfer Learning. Xu Zhang, Zuyu Zhang, Hae-Young Bae |
| 2019 | Comparative study between Deep Face, Autoencoder and Traditional Machine Learning Techniques aiming at Biometric Facial Recognition. Jonnathann Silva Finizola, Jonas Mendonça Targino, Felipe Gustavo Silva Teodoro, Clodoaldo Ap. M. Lima |
| 2019 | Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli |
| 2019 | Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. Ivan Donadello, Luciano Serafini |
| 2019 | Competitive Feature Extraction for Activity Recognition based on Wavelet Transforms and Adaptive Pooling. Mubarak G. Abdu-Aguye, Walid Gomaa |
| 2019 | Competitive Online Generalised Linear Regression with Multidimensional Outputs. Raisa Dzhamtyrova, Yuri Kalnishkan |
| 2019 | Competitive STDP-based Feature Representation Learning for Sound Event Classification. Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | Composing Multi-Instrumental Music with Recurrent Neural Networks. David Samuel, Martin Pilát |
| 2019 | Compressive Learning of Multi-layer Perceptrons: An Error Analysis. Ata Kabán |
| 2019 | Condensed Convolution Neural Network by Attention over Self-attention for Stance Detection in Twitter. Shengping Zhou, Junjie Lin, Lianzhi Tan, Xin Liu |
| 2019 | Confidence Identification Based on the Combination of Verbal and Non-Verbal factors in Human Robot Interaction. Wei-Fen Hsieh, Youdi Li, Erina Kasano, Eri Sato-Shimokawara, Toru Yamaguchi |
| 2019 | Context Gating with Short Temporal Information for Video Captioning. Jinlei Xu, Ting Xu, Xin Tian, Chunping Liu, Yi Ji |
| 2019 | Context-Aware Network for 3D Human Pose Estimation from Monocular RGB Image. Binyi Yin, Dongbo Zhang, Shuai Li, Aimin Hao, Hong Qin |
| 2019 | Continuous Gesture Recognition through Selective Temporal Fusion. Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper |
| 2019 | Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine. Rui Xu, Weizhong Yan |
| 2019 | Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector. Hideomi Tsunakawa, Yoshitaka Kameya, Hanju Lee, Yosuke Shinya, Naoki Mitsumoto |
| 2019 | ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts. Li Tang, Fei Teng, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li |
| 2019 | Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework. Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba |
| 2019 | Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification. Kazi Shah Nawaz Ripon, Lasker Ershad Ali, Nazmul H. Siddique, Jinwen Ma |
| 2019 | Convolutional Recurrent Neural Networks for Text Classification. Ruishuang Wang, Zhao Li, Jian Cao, Tong Chen, Lei Wang |
| 2019 | Coral Classification Using DenseNet and Cross-modality Transfer Learning. Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel |
| 2019 | Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue |
| 2019 | Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection. Thomas Pellegrini, Léo Cances |
| 2019 | Coupled Dictionary Learning for Multi-label Embedding. Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi |
| 2019 | Cropout: A General Mechanism for Reducing Overfitting on Convolutional Neural Networks. Wenbo Hou, Wenhai Wang, Ruo-Ze Liu, Tong Lu |
| 2019 | Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos |
| 2019 | Cross-domain Recommendation with Semantic Correlation in Tagging Systems. Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang |
| 2019 | Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network. Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng |
| 2019 | Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter |
| 2019 | Curse of Dimensionality in Adversarial Examples. Nandish Chattopadhyay, Anupam Chattopadhyay, Sourav Sen Gupta, Michael Kasper |
| 2019 | Cyberthreat Detection from Twitter using Deep Neural Networks. Nuno Dionísio, Fernando Alves, Pedro Miguel Ferreira, Alysson Bessani |
| 2019 | Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network. Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2019 | DAGCN: Dual Attention Graph Convolutional Networks. Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long |
| 2019 | DGFFM: Generalized Field-aware Factorization Machine based on DenseNet. Qing-Long Zhang, Lu Rao, Yubin Yang |
| 2019 | DICENet: Fine-Grained Recognition via Dilated Iterative Contextual Encoding. Abhishek Pal, Gautham Krishnan, Manav Rajiv Moorthy, Narasimha Yadav, Adithya R. Ganesh, T. Sree Sharmila |
| 2019 | DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging. Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó |
| 2019 | DOAD: An Online Dredging Operation Anomaly Detection Method based on AIS Data. Bin Cheng, Shiyou Qian, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li |
| 2019 | DR-NET: A Stacked Convolutional Classifier Framework for Detection of Diabetic Retinopathy. Sathiya Narayan Chakravarthy, Himanshu Singhal, Narasimha Yadav R. P. |
| 2019 | Data complexity measures in feature selection. Lucas Chesini Okimoto, Ana Carolina Lorena |
| 2019 | Data-to-Text Generation with Attention Recurrent Unit. Hechong Wang, Wei Zhang, Yuesheng Zhu, Zhiqiang Bai |
| 2019 | Dealing with Limited Access to Data: Comparison of Deep Learning Approaches. Andreas Look, Stefan Riedelbauch |
| 2019 | Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network. Asim Iqbal, Phil Dong, Christopher M. Kim, Heeun Jang |
| 2019 | Decoding of finger activation from ECoG data: a comparative study. Guillaume Jubien, Marie-Caroline Schaeffer, Stéphane Bonnet, Tetiana Aksenova |
| 2019 | Deep Capsule Network based Automatic Batch Code Identification Pipeline for a Real-life Industrial Application. Chandan Kumar Singh, Vivek Kumar Gangwar, Harsh Vardhan Singh, Karan Narain, Anima Majumder, Swagat Kumar |
| 2019 | Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature. Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia |
| 2019 | Deep Cyclic Group Networks. Zhe-Cheng Fan, Tak-Shing Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang |
| 2019 | Deep Diffusion Autoencoders. Sara Dorado, Ángela Fernández, José R. Dorronsoro |
| 2019 | Deep Domain Adaptation for Vulnerable Code Function Identification. Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung |
| 2019 | Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema. Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2019 | Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition. Yuanyuan Zhang, Zi-Rui Wang, Jun Du |
| 2019 | Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara |
| 2019 | Deep Learning Of P73 Biomarker Expression In Rectal Cancer Patients. Tuan D. Pham, Chuanwen Fan, Hong Zhang, Xiao-Feng Sun |
| 2019 | Deep Learning and One-class SVM based Anomalous Crowd Detection. Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie |
| 2019 | Deep Learning for System Trace Restoration. Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister |
| 2019 | Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu |
| 2019 | Deep Multi-view Learning from Sequential Data without Correspondence. Tung Doan, Atsuhiro Takasu |
| 2019 | Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data. Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega |
| 2019 | Deep Networks with Adaptive Nyström Approximation. Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri |
| 2019 | Deep Neural Network Ensembles for Time Series Classification. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller |
| 2019 | Deep Neural Networks for Network Routing. João Reis, Miguel Rocha, Truong Khoa Phan, David Griffin, Franck Le, Miguel Rio |
| 2019 | Deep Q-Learning for Illumination and Rotation Invariant Face Detection. Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw |
| 2019 | Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim |
| 2019 | Deep Reinforcement Learning with Dual Targeting Algorithm. Naoki Kodama, Taku Harada, Kazuteru Miyazaki |
| 2019 | Deep Representation Learning for Code Smells Detection using Variational Auto-Encoder. Mouna Hadj-Kacem, Nadia Bouassida |
| 2019 | Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor. Xiaowei Gu, Plamen P. Angelov |
| 2019 | Deep Salient Object Detection with Fuzzy Superpixel Extraction and Controlled Filter Convolution. Yang Liu, Bo Wu, Bo Lang |
| 2019 | Deep Spiking Neural Network with Spike Count based Learning Rule. Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li |
| 2019 | Deep Structure Learning for Rumor Detection on Twitter. Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang |
| 2019 | Deep Structured Cross-Modal Anomaly Detection. Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu |
| 2019 | Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2019 | Deep learning long-range information in undirected graphs with wave networks. Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass |
| 2019 | Deep learning price momentum in US equities. Stephen Choi, Tyler Renelle |
| 2019 | Deep unsupervised state representation learning with robotic priors: a robustness analysis. Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat |
| 2019 | DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal |
| 2019 | DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. Jacek Mandziuk, Adam Zychowski |
| 2019 | DeepShapeSketch : Generating hand drawing sketches from 3D objects. Meijuan Ye, Shizhe Zhou, Hongbo Fu |
| 2019 | DeepSqueezeNet-CRF: A Lightweight Deep Model for Semantic Image Segmentation. Danyu Lai, Yique Deng, Long Chen |
| 2019 | Deeper Capsule Network For Complex Data. Yi Xiong, Guiping Su, Shiwei Ye, Yuan Sun, Yi Sun |
| 2019 | Deeper Monocular Depth Prediction via Long and Short Skip Connection. Zhaokai Wang, Limin Xiao, Rongbin Xu, Shubin Su, Shupan Li, Yao Song |
| 2019 | Dense-CAM: Visualize the Gender of Brains with MRI Images. Kai Gao, Hui Shen, Yadong Liu, Lingli Zeng, Dewen Hu |
| 2019 | Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization. Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu |
| 2019 | Depth-Controllable Very Deep Super-Resolution Network. Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim |
| 2019 | Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing. Chris Yakopcic, B. Rasitha Fernando, Tarek M. Taha |
| 2019 | Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. Ziv Katzir, Yuval Elovici |
| 2019 | Detection of Typical Pronunciation Errors in Non-native English Speech Using Convolutional Recurrent Neural Networks. Aleksandr Diment, Eemi Fagerlund, Adrian Benfield, Tuomas Virtanen |
| 2019 | Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry. Abiodun Brimmo Yusuf, Ah-Lian Kor, Hissam Tawfik |
| 2019 | Dilated Convolutional Networks Incorporating Soft Entity Type Constraints for Distant Supervised Relation Extraction. Min Peng, Weilong Hu, Gang Tian, Bin Wang, Hua Wang, Gang Wang |
| 2019 | Dimension Estimation and Topological Manifold Learning. Hajime Tasaki, Reiner Lenz, Jinhui Chao |
| 2019 | Dimensionality Reduction in Multilabel Classification with Neural Networks. Jacek Mandziuk, Adam Zychowski |
| 2019 | Directional Attention based Video Frame Prediction using Graph Convolutional Networks. Prateep Bhattacharjee, Sukhendu Das |
| 2019 | Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang |
| 2019 | Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks. Ranjith Dinakaran, Philip Easom, Li Zhang, Ahmed Bouridane, Richard Jiang, Eran A. Edirisinghe |
| 2019 | Distant Supervised Why-Question Generation with Passage Self-Matching Attention. Jiaxin Hu, Zhixu Li, Renshou Wu, Hongling Wang, An Liu, Jiajie Xu, Pengpeng Zhao, Lei Zhao |
| 2019 | Distantly Supervised Relation Extraction through a Trade-off Mechanism. Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng |
| 2019 | Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries. Guang Shi, Chao Li, Bo Zhao, Qinglai Wei, Derong Liu |
| 2019 | Distributed and Randomized Tensor Train Decomposition for Feature Extraction. Krzysztof Fonal, Rafal Zdunek |
| 2019 | Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban |
| 2019 | Dog Identification using Soft Biometrics and Neural Networks. Kenneth Lai, Xinyuan Tu, Svetlana N. Yanushkevich |
| 2019 | Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks. István Ketykó, Ferenc Kovács, Krisztián Zsolt Varga |
| 2019 | Double Transfer Learning for Breast Cancer Histopathologic Image Classification. Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich |
| 2019 | Dual-stream Self-Attentive Random Forest for False Information Detection. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng |
| 2019 | DyReg-FResNet: Unsupervised Feature Space Amplified Dynamic Regularized Residual Network for Time Series Classification. Arijit Ukil, Soma Bandyopadhyay, Arpan Pal |
| 2019 | Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. Avinash Achar, Rohith Regikumar, B. Anil Kumar |
| 2019 | Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. Dongcheng Zhao, Yi Zeng |
| 2019 | Dynamic Network Embedding by Semantic Evolution. Yujing Zhou, Weile Liu, Yang Pei, Lei Wang, Daren Zha, Tianshu Fu |
| 2019 | Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration. Minsam Kim, James T. Kwok |
| 2019 | ECG Segmentation by Neural Networks: Errors and Correction. Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Roman Kataev, Grigory V. Osipov |
| 2019 | ECG-based Heartbeat Classification in Neuromorphic Hardware. Federico Corradi, Sandeep Pande, Jan Stuijt, Ning Qiao, Siebren Schaafsma, Giacomo Indiveri, Francky Catthoor |
| 2019 | EEG-Based Motor Imagery Classification with Deep Multi-Task Learning. Yaguang Song, Danli Wang, Kang Yue, Nan Zheng, Zuo-Jun Max Shen |
| 2019 | ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism. Bin Mu, Cheng Peng, Shijin Yuan, Lei Chen |
| 2019 | Edge focused super-resolution of thermal images. Yannick Wend Kuni Zoetgnandé, Jean-Louis Dillenseger, Javad Alirezaie |
| 2019 | Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. Wei Shiung Liew, Chu Kiong Loo, Vadym Gryshchuk, Cornelius Weber, Stefan Wermter |
| 2019 | Efficient Convolutional Neural Networks for Multi-Spectral Image Classification. Jacob J. Senecal, John W. Sheppard, Joseph A. Shaw |
| 2019 | Efficient Deep Gaussian Process Models for Variable-Sized Inputs. Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim |
| 2019 | Efficient Estimation of Node Representations in Large Graphs using Linear Contexts. Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani |
| 2019 | Efficient Learning Rate Adaptation for Convolutional Neural Network Training. Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2019 | Efficient and Robust Convolutional Neural Networks via Channel Prioritization and Path Ensemble. Chun-Min Chang, Chia-Ching Lin, Kuan-Ta Chen |
| 2019 | Efficient and Scalable Exploration via Estimation-Error. Chuxiong Sun, Rui Wang, Ruiying Li, Jiao Wu, Xiaohui Hu |
| 2019 | Efficient on-line learning with diagonal approximation of loss function Hessian. Pawel Wawrzynski |
| 2019 | Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images. Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos |
| 2019 | Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu |
| 2019 | Emergent Multilingual Language Acquisition Using Developmental Networks. Juan L. Castro-Garcia, Juyang Weng |
| 2019 | Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks. Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2019 | Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis. Abhishek Kumar, Asif Ekbal, Daisuke Kawahara, Sadao Kurohashi |
| 2019 | Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia |
| 2019 | Encoding robust representation for graph generation. Dongmian Zou, Gilad Lerman |
| 2019 | End-to-end Learning Method for Self-Driving Cars with Trajectory Recovery Using a Path-following Function. Tadashi Onishi, Toshiyuki Motoyoshi, Yuki Suga, Hiroki Mori, Tsuya Ogata |
| 2019 | End-to-end Network for Monocular Visual Odometry Based on Image Sequence. Mingwei Yao, Hongyan Quan |
| 2019 | Enhance knowledge graph embedding via fake triples. Zhihuan Yan, Rong Peng, Yaqian Wang, Weidong Li |
| 2019 | Enhanced Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots. Hui Deng, Xiang Xie, Xuejun Zhang |
| 2019 | Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction. Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria |
| 2019 | Ensemble Attention For Text Recognition In Natural Images. Hongchao Gao, Yujia Li, Xi Wang, Jizhong Han, Ruixuan Li |
| 2019 | Ensemble Validation: Selectivity has a Price, but Variety is Free. Eric Bax, Farshad Kooti |
| 2019 | Ensembling 3D CNN Framework for Video Recognition. Ruolin Huang, Hongbin Dong, Guisheng Yin, Qiang Fu |
| 2019 | Entropy-Constrained Training of Deep Neural Networks. Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek |
| 2019 | Epilepsy detection using multiclass classifier based on spectral features. Jefferson Tales Oliva, João Luís Garcia Rosa |
| 2019 | Estimating Betti Numbers Using Deep Learning. Rahul Paul, Stephan K. Chalup |
| 2019 | Estimating the effective dimension of large biological datasets using Fisher separability analysis. Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev |
| 2019 | Evaluating Competence Measures for Dynamic Regressor Selection. Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira |
| 2019 | Evaluating Incomplete DCOP Algorithms On Large-Scale Problems. Allan Rodrigo Leite, Fabrício Enembreck |
| 2019 | Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy |
| 2019 | Evaluation of Heart Disease Diagnosis Approach using ECG Images. Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho |
| 2019 | Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon |
| 2019 | Event-Triggered Adaptive Control for Discrete-Time Zero-Sum Games. Ziyang Wang, Qinglai Wei, Derong Liu, Yanhong Luo |
| 2019 | Event-Triggered H∞ Tracking Control of Nonlinear Systems via Reinforcement Learning Method. Lili Cui, Wei Qu, Li Wang, Yanhong Luo, Zhanshan Wang |
| 2019 | Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis |
| 2019 | Evolutionary Community Detection in Dynamic Social Networks. Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang |
| 2019 | Evolutionary Neural Architecture Search for Image Restoration. Gerard Jacques van Wyk, Anna Sergeevna Bosman |
| 2019 | Evolving and Ensembling Deep CNN Architectures for Image Classification. Ben Fielding, Tom Lawrence, Li Zhang |
| 2019 | Executing Declarative Parallel Representations of Sequences with Temporal Pooling. Daniel Slack, Alistair Knott, Brendan McCane |
| 2019 | Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. Patrik Sabol, Peter Sincák, Kana Ogawa, Pitoyo Hartono |
| 2019 | Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. Carlo D'Eramo, Andrea Cini, Marcello Restelli |
| 2019 | Exploiting Machine Learning Models to Avoid Texting While Driving. Renato Hidaka Torres, Orlando Ohashi, Gabriel Carvalho Garcia, Filipe A. S. Rocha, Héctor Azpúrua, Gustavo Pessin |
| 2019 | Exploiting Randomness in Deep Learning Algorithms. Hamed Fatemi Langroudi, Cory E. Merkel, Humza Syed, Dhireesha Kudithipudi |
| 2019 | Exploration Driven by an Optimistic Bellman Equation. Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters |
| 2019 | Exploring Deep Models for Comprehension of Deictic Gesture-Word Combinations in Cognitive Robotics. Gabriella Pizzuto, Angelo Cangelosi |
| 2019 | Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. Tulika Saha, Saurabh Srivastava, Mauajama Firdaus, Sriparna Saha, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | Exploring Spatiotemporal Functional Connectivity Dynamics of the Human Brain using Convolutional and Recursive Neural Networks. Zachary J. Harper, Charles M. Welzig |
| 2019 | Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics. Richard McAllister, John Sheppard |
| 2019 | Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma |
| 2019 | Extracting Prerequisite Relations Among Concepts in Wikipedia. Yang Zhou, Kui Xiao |
| 2019 | Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms. Nataliya Le Vine, Matthew Zeigenfuse, Mark Rowan |
| 2019 | Extreme Dimensionality Reduction for Network Attack Visualization with Autoencoders. Daniel C. Ferreira, Félix Iglesias Vázquez, Tanja Zseby |
| 2019 | Eye Gesture Based Communication for People with Motor Disabilities in Developing Nations. Sharan Pai, Anish Bhardwaj |
| 2019 | FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta |
| 2019 | FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. Daksh Thapar, Gaurav Jaswal, Aditya Nigam |
| 2019 | FPCAS: In-Memory Floating Point Computations for Autonomous Systems. Sina Sayyah Ensan, Swaroop Ghosh |
| 2019 | FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang |
| 2019 | Face Age Transformation with Progressive Residual Adversarial Autoencoder. Xuexiang Zhang, Ping Wei, Nanning Zheng |
| 2019 | Face Attribute Prediction in Live Video using Fusion of Features and Deep Neural Networks. Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich |
| 2019 | Fashion Outfit Composition Combining Sequential Learning and Deep Aesthetic Network. Zhen Wang, Hongyan Quan |
| 2019 | Fast and Efficient Text Classification with Class-based Embeddings. Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros |
| 2019 | Fast segmentation for large and sparsely labeled coral images. Xi Yu, Ying Ma, Stephanie Farrington, John Reed, Bing Ouyang, José C. Príncipe |
| 2019 | Faster Training by Selecting Samples Using Embeddings. Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen |
| 2019 | Feature Selection via Mutual Information: New Theoretical Insights. Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli |
| 2019 | Feature selection based on feature curve of subclass problem. Lei Liu, Bing Zhang, Shidong Wang, Shuangjie Li, Kaixiang Zhang, Shuqin Wang |
| 2019 | Feature selection for orthogonal broad learning system based on mutual information. Zhicheng Liu, Bao Chen, Bingxue Xiez, Huangping Qiang, Ziqi Zhu |
| 2019 | Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein |
| 2019 | FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra |
| 2019 | Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab. Lele Cao |
| 2019 | Fine-grained Adversarial Image Inpainting with Super Resolution. Yang Li, Bitao Jiang, Yao Lu, Li Shen |
| 2019 | Flexible Kernel Selection in Multitask Support Vector Regression. Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro |
| 2019 | FocalNet - Foveal Attention for Post-processing DNN Outputs. Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2019 | Formation Control with Collision Avoidance through Deep Reinforcement Learning. Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong |
| 2019 | From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou |
| 2019 | From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition. Asad Abbas, Stephan K. Chalup |
| 2019 | Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion. Yan-Jie Zhou, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Yu-Dong Wu, Shi-Qi Liu, Xiao-Hu Zhou, Jiaxing Wang |
| 2019 | Fusion Strategies for Learning User Embeddings with Neural Networks. Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel |
| 2019 | Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen |
| 2019 | GADGET: Using Gated GRU for Biomedical Event Trigger Detection. Cheng Zeng, Yi Zhang, Heng-Yang Lu, Chong-Jun Wang |
| 2019 | GANemotion: Increase Vitality of Characters in Videos by Generative Adversary Networks. Muhammad Hassan, Yutong Liu, Linghe Kong, Ziming Wang, Guihai Chen |
| 2019 | GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction. Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao |
| 2019 | GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira |
| 2019 | GMM-based Undersampling and Its Application for Credit Card Fraud Detection. Fengjun Zhang, Guanjun Liu, Zhenchuan Li, Chungang Yan, Changjun Jiang |
| 2019 | Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo |
| 2019 | Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass |
| 2019 | Gated Neural Network with Regularized Loss for Multi-label Text Classification. Yunlai Xu, Xiangying Ran, Wei Sun, Xiangyang Luo, Chongjun Wang |
| 2019 | Gated Sequential Recommendation with Dynamic Memory Network. Yunxiao Li, Jiaxing Song, Xiao Li, Weidong Liu |
| 2019 | Gated Task Interaction Framework for Multi-task Sequence Tagging. Isaac K. E. Ampomah, Zhiwei Lin, Sally I. McClean, Glenn I. Hawe |
| 2019 | Generalized Alignment for Multimodal Physiological Signal Learning. Yuchi Liu, Yue Yao, Zhengjie Wang, Josephine Plested, Tom Gedeon |
| 2019 | Generalized PatternAttribution for Neural Networks with Sigmoid Activations. Jiamei Sun, Alexander Binder |
| 2019 | Generate Desired Images from Trained Generative Adversarial Networks. Ming Li, Rui Xi, Beier Chen, Mengshu Hou, Daibo Liu, Lei Guo |
| 2019 | Generating Natural Video Descriptions using Semantic Gate. Hyungmin Lee, Il-Koo Kim |
| 2019 | Generative Adversarial Network for Radar Signal Synthesis. Thomas Truong, Svetlana N. Yanushkevich |
| 2019 | Generative Adversarial Networks for Road Crack Image Segmentation. Ziping Gao, Bo Peng, Tianrui Li, Cong Gou |
| 2019 | Generative Models from the perspective of Continual Learning. Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat |
| 2019 | Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao |
| 2019 | Graph Neural Solver for Power Systems. Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot |
| 2019 | Group Learning for High-Dimensional Sparse Data. Vladimir Cherkassky, Hsiang-Han Chen, Han-Tai Shiao |
| 2019 | Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz |
| 2019 | Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm. Amrutha Machireddy, Shayan Srinivasa Garani |
| 2019 | HDL: Hierarchical Deep Learning Model based Human Activity Recognition using Smartphone Sensors. Tongtong Su, Huazhi Sun, Chunmei Ma, Lifen Jiang, Tongtong Xu |
| 2019 | Hardening Deep Neural Networks via Adversarial Model Cascades. Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru |
| 2019 | Heartbeat Anomaly Detection using Adversarial Oversampling. Jefferson L. P. Lima, David L. Macêdo, Cleber Zanchettin |
| 2019 | Heartbeat Detection Based on Pulse Neuron Model for Heart Rate Variability Analysis. Takenori Obo, Daiki Takaguchi, Daisuke Katagami, Junji Sone, Takahito Tomoto, Yuta Ogai, Yoshihisa Udagawa |
| 2019 | Heteroclinic Orbits and Chaos in A Ring of Three Unidirectionally Coupled Nonmonotonic Neurons. Yo Horikawa, Ken'ichi Fujimoto |
| 2019 | Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig |
| 2019 | Hierarchical Classification Feature Extraction for Moving Target Detection Using Radar Echo. Chunhua Zhou, Huiting Xia, Jiejun Yin, Liang Gao, Yaqi Liu |
| 2019 | Hierarchical Dual Quaternion-Based Recurrent Neural Network as a Flexible Internal Body Model. Malte Schilling |
| 2019 | Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment. Yunxiao Zhou, Man Lan, Wenting Wang |
| 2019 | Hierarchical Multi-Task Learning for Healthy Drink Classification. Homin Park, Homanga Bharadhwaj, Brian Y. Lim |
| 2019 | Hierarchical Multi-dimensional Attention Model for Answer Selection. Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang |
| 2019 | Hierarchical Recurrent Attention Networks for Context-Aware Education Chatbots. Jean-Baptiste Aujogue, Alex Aussem |
| 2019 | High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons. Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass |
| 2019 | How to produce complementary explanations using an Ensemble Model. Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso |
| 2019 | Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. Luciano D. S. Pacífico, Teresa Bernarda Ludermir |
| 2019 | Hybrid Model for Cavitation Noise Spectra Prediction. Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani |
| 2019 | Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. Vivek Parmar, Jung-Ho Ahn, Manan Suri |
| 2019 | ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi |
| 2019 | Ideal neighbourhood mask for speech enhancement using deep neural networks. Christian Arcos, Marley M. B. R. Vellasco, Abraham Alcaim |
| 2019 | Identifying Mislabeled Instances in Classification Datasets. Nicolas M. Müller, Karla Markert |
| 2019 | Image Captioning Based On Sentence-Level And Word-Level Attention. Haiyang Wei, Zhixin Li, Canlong Zhang, Tao Zhou, Yu Quan |
| 2019 | Image Captioning with Partially Rewarded Imitation Learning. Xintong Yu, Tszhang Guo, Kun Fu, Lei Li, Changshui Zhang, Jianwei Zhang |
| 2019 | Image Retrieval and Pattern Spotting using Siamese Neural Network. Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira |
| 2019 | Image steganography using texture features and GANs. Jinjing Huang, Shaoyin Cheng, Songhao Lou, Fan Jiang |
| 2019 | Impromptu Accompaniment of Pop Music using Coupled Latent Variable Model with Binary Regularizer. Bijue Jia, Jiancheng Lv, Yifan Pu, Xue Yang |
| 2019 | Improve L2-normalized Softmax with Exponential Moving Average. Xuefei Zhe, Le Ou-Yang, Hong Yan |
| 2019 | Improved Techniques for Building EEG Feature Filters. Yue Yao, Josephine Plested, Tom Gedeon, Yuchi Liu, Zhengjie Wang |
| 2019 | Improving Fast Adaptive Stacking of Ensembles. Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos |
| 2019 | Improving Noise Tolerance of Mixed-Signal Neural Networks. Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov |
| 2019 | Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay |
| 2019 | Improving Retrieval-Based Question Answering with Deep Inference Models. George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti |
| 2019 | Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. Xueyuan She, Yun Long, Saibal Mukhopadhyay |
| 2019 | Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang |
| 2019 | Improving Sentence Representations with Local and Global Attention for Classification. Zesheng Liu, Xu Bai, Tian Cai, Chanjuan Chen, Wang Zhang, Lei Jiang |
| 2019 | Improving Universal Language Model Fine-Tuning using Attention Mechanism. Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David L. Macêdo, Cleber Zanchettin |
| 2019 | Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset. Ronny Stricker, Markus Eisenbach, Maximilian Sesselmann, Klaus Debes, Horst-Michael Gross |
| 2019 | Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. Luis Henrique S. Brito, Ana L. C. V. Lara, Luis E. Zárate, Cristiane Neri Nobre |
| 2019 | Improving the realism of synthetic images through a combination of adversarial and perceptual losses. Charith Atapattu, Banafsheh Rekabdar |
| 2019 | In a Spin-Wave Reservoir for Machine Learning. Ryosho Nakane, Gouhei Tanaka, Akira Hirose |
| 2019 | Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning. Bing Liu, Guilin Qi, Lu Pan, Shangfu Duan, Tianxing Wu |
| 2019 | Incremental Learning Based Subspace Modeling for Distributed Parameter Systems. Zhi Wang, Han-Xiong Li |
| 2019 | Informative Instance Detection for Active Learning on Imbalanced Data. Jian Xu, Xinyue Wang, Zixin Cai, Liu Yang, Liping Jing |
| 2019 | Integer Self-Organizing Maps for Digital Hardware. Denis Kleyko, Evgeny Osipov, Daswin De Silva, Urban Wiklund, Damminda Alahakoon |
| 2019 | Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems Liying Chen, Honglei Zhang, Jun Wu |
| 2019 | Integrating Social Circles and Network Representation Learning for Item Recommendation. Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu |
| 2019 | Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization. John J. M. Reynolds, James S. Plank, Catherine D. Schuman |
| 2019 | International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 |
| 2019 | Interpretable Variational Autoencoders for Cognitive Models. Mariana Curi, Geoffrey A. Converse, Jeffrey Hajewski, Suely Oliveira |
| 2019 | Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves. Jeffery Jonathan Joshua Davis, Robert Kozma |
| 2019 | Intranet User-Level Security Traffic Management with Deep Reinforcement Learning. Qiuqing Jin, Liming Wang |
| 2019 | Intrusion detection method based on information gain and ReliefF feature selection. Yong Zhang, Xuezhen Ren, Jie Zhang |
| 2019 | Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes. Suhwan Lim, Dongseok Kwon, Sungtae Lee, Hyeongsu Kim, Jong-Ho Bae, Jong-Ho Lee |
| 2019 | JSAC: A Novel Framework to Detect Malicious JavaScript via CNNs over AST and CFG. Hongliang Liang, Yuxing Yang, Lu Sun, Lin Jiang |
| 2019 | Joint Graph Based Embedding and Feature Weighting for Image Classification. Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek |
| 2019 | K-Random Forests: a K-means style algorithm for Random Forest clustering. Manuele Bicego |
| 2019 | KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang |
| 2019 | Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green |
| 2019 | Keyphrase Guided Beam Search for Neural Abstractive Text Summarization. Xuewen Chen, Jinlong Li, Hai-Han Wang |
| 2019 | Keystroke Analysis for User Identification using Deep Neural Networks. Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2019 | Knowledge Adaptive Neural Network for Natural Language Inference. Qi Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu |
| 2019 | Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu |
| 2019 | LMLSTM: Extract Event-Oriented Keyphrase From News Stream. Lin Zhao, Longtao Huang, Liangjun Zang, Jizhong Han, Songlin Hu |
| 2019 | Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory. Yingyao Wang, Jianhua Dai |
| 2019 | LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang |
| 2019 | Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen |
| 2019 | Language Modeling through Long-Term Memory Network. Anupiya Nugaliyadde, Ferdous Sohel, Kok Wai Wong, Hong Xie |
| 2019 | Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. Babak Hosseini, Barbara Hammer |
| 2019 | Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning. Yang Fan, Jianhua Dai, Qilai Zhang |
| 2019 | Learning "What" and "Where": An Interpretable Neural Encoding Model. Haibao Wang, Lijie Huang, Changde Du, Huiguang He |
| 2019 | Learning Adaptive Weight Masking for Adversarial Examples. Yoshimasa Kubo, Michael Traynor, Thomas Trappenberg, Sageev Oore |
| 2019 | Learning Convolutional Neural Networks in presence of Concept Drift. Simone Disabato, Manuel Roveri |
| 2019 | Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning. Xiangyu Liu, Ying Tan |
| 2019 | Learning Image Relations with Contrast Association Networks. Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski |
| 2019 | Learning Minority Class prior to Minority Oversampling. Payel Sadhukhan |
| 2019 | Learning Navigation via R-VIN on Road Graphs. Xiaojuan Wei, Jinglin Li, Quan Yuan, Xu Han, Fangchun Yang |
| 2019 | Learning Private Neural Language Modeling with Attentive Aggregation. Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang |
| 2019 | Learning Semantic Coherence for Machine Generated Spam Text Detection. Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu |
| 2019 | Learning Similarity: Feature-Aligning Network for Few-shot Action Recognition. Shaoqing Tan, Ruoyu Yang |
| 2019 | Learning Syntactic and Dynamic Selective Encoding for Document Summarization. Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li |
| 2019 | Learning Topological Representation for Networks via Hierarchical Sampling. Guoji Fu, Chengbin Hou, Xin Yao |
| 2019 | Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification. Nan Pu, T. K. Georgiou, Erwin M. Bakker, Michael S. Lew |
| 2019 | Learning with Coherence Patterns in Multivariate Time-series Data via Dynamic Mode Decomposition. Takehito Bito, Masashi Hiraoka, Yoshinobu Kawahara |
| 2019 | Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. Alexander Sutherland, Sven Magg, Stefan Wermter |
| 2019 | Lifting 2d Human Pose to 3d : A Weakly Supervised Approach. Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick |
| 2019 | Local Critic Training of Deep Neural Networks. Hojung Lee, Jong-Seok Lee |
| 2019 | Locality Preserving Projection via Deep Neural Network. Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin |
| 2019 | Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. Shogo Hayashi, Akira Tanimoto, Hisashi Kashima |
| 2019 | Looking back at Labels: A Class based Domain Adaptation Technique. Vinod Kumar Kurmi, Vinay P. Namboodiri |
| 2019 | MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. Sagar Verma, Richa Verma, P. B. Sujit |
| 2019 | MDLDA: A New Multi-Dimension Topic Approach. Juncheng Ding, Wei Jin |
| 2019 | MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue Qichuan Yang, Zhiqiang He, Zhiqiang Zhan, Jianyu Zhao, Yang Zhang, Changjian Hu |
| 2019 | MMF: Attribute Interpretable Collaborative Filtering. Yixin Su, Sarah Monazam Erfani, Rui Zhang |
| 2019 | MPSSD: Multi-Path Fusion Single Shot Detector. Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas |
| 2019 | Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. Julio J. Valdés, Ljubomir Nikolic, Kenneth Tapping |
| 2019 | Machine Learning to Identify Gender via Hair Elements. Pasquale Avino, Francesco Mercaldo, Vittoria Nardone, Ivan Notardonato, Antonella Santone |
| 2019 | Matrix Product Operator Restricted Boltzmann Machines. Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong |
| 2019 | Melodious Micro-frissons: Detecting Music Genres From Skin Response. Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones, Md. Zakir Hossain, Xuanying Zhu |
| 2019 | Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. Sebastian Kauschke, Lukas Fleckenstein, Johannes Fürnkranz |
| 2019 | MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas |
| 2019 | Meta-Learning for User Cold-Start Recommendation. Homanga Bharadhwaj |
| 2019 | Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance. Fábbio A. S. Borges, Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, M. A. Araújo |
| 2019 | Metric Learning based Framework for Streaming Classification with Concept Evolution. Zhuoyi Wang, Hemeng Tao, Zelun Kong, Swarup Chandra, Latifur Khan |
| 2019 | Micro-states based dynamic brain connectivity in understanding the commonality and differences in gender-specific emotion processing. Rakib Al-Fahad, Mohammed Yeasin |
| 2019 | Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu |
| 2019 | Mixed Variational Inference. Nikolaos Gianniotis |
| 2019 | Mixing Update Q-value for Deep Reinforcement Learning. Zhunan Li, Xinwen Hou |
| 2019 | Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2019 | Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease. Iago R. R. Silva, Gabriela S. L. Silva, Rodrigo G. de Souza, Wellington P. dos Santos, Roberta A. de A. Fagundes |
| 2019 | Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian |
| 2019 | Model-Free Temporal Difference Learning for Non-Zero-Sum Games. Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, Donald C. Wunsch |
| 2019 | Modified State Observer Based Two-Way ETNAC Design For Uncertain Linear Systems. Abdul Ghafoor, S. N. Balakrishnan |
| 2019 | Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally. Bat-Amgalan Bat-Erdene, He Wang, K. Y. Michael Wong |
| 2019 | Modulation Based Transfer Learning of Motivational Cues in Developmental Robotics. Alejandro Romero, José Antonio Becerra, Francisco Bellas, Richard J. Duro |
| 2019 | Modulation of Activation Function in Triangular Recurrent Neural Networks for Time Series Modeling. Shyamala Sivakumar, Seshadri Sivakumar |
| 2019 | Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann |
| 2019 | Multi-Agent Deep Reinforcement Learning with Emergent Communication. David Simões, Nuno Lau, Luís Paulo Reis |
| 2019 | Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. Alex Frid, Larry M. Manevitz, Ohad Mosafi |
| 2019 | Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu |
| 2019 | Multi-Hierarchy Attribute Relationship Mining Based Outlier Detection for Categorical Data. Xiaoyu Hu, Yijie Wang, Li Cheng |
| 2019 | Multi-Level Compare-Aggregate Model for Text Matching. Chunlin Xu, Zhiwei Lin, Hui Wang, Shengli Wu |
| 2019 | Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data. Ali Anaissi, Seid Miad Zandavi |
| 2019 | Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho |
| 2019 | Multi-Satellite Resource Scheduling Based on Deep Neural Network. Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu |
| 2019 | Multi-Source Transfer Learning for Non-Stationary Environments. Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2019 | Multi-Task Learning with Capsule Networks. Kai Lei, Qiuai Fu, Yuzhi Liang |
| 2019 | Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models. Rupam Ojha, C. Chandra Sekhar |
| 2019 | Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP. Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet |
| 2019 | Multi-perspective Feature Generation Based on Attention Mechanism. Longxuan Ma, Lei Zhang |
| 2019 | Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment. Fangjun Li, Dongfeng Yuan, Mingqiang Zhang, Cong Liang, Xiaotian Zhou, Haixia Zhang |
| 2019 | Multi-task Learning with Bidirectional Language Models for Text Classification. Qi Yang, Lin Shang |
| 2019 | Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems. Qiang Huang, Jianhui Bu, Weijian Xie, Shengwen Yang, Weijia Wu, Liping Liu |
| 2019 | Multi-turn Intent Determination for Goal-oriented Dialogue systems. Waheed Ahmed Abro, Guilin Qi, Huan Gao, Muhammad Asif Khan, Zafar Ali |
| 2019 | Multilayer Perceptron for Sparse Functional Data. Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta |
| 2019 | Multilevel Classification using a Taxonomy Applied to Recognizing Diptera Images. Javier Navarrete, Francisco Gomez-Donoso, Diego Viejo, Miguel Cazorla |
| 2019 | Multimodal Data Enhanced Representation Learning for Knowledge Graphs. Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng |
| 2019 | Multiple Back Propagation Network and Metric Fusion for Person Re-identification. Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu |
| 2019 | Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset. Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne |
| 2019 | Multiple-Instance Learning through Optimum-Path Forest. Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa |
| 2019 | Multiple-Valued Artificial Neural Networks. Alexander Makarenko |
| 2019 | Music Artist Classification with Convolutional Recurrent Neural Networks. Zain Nasrullah, Yue Zhao |
| 2019 | Music Classification using an Improved CRNN with Multi-Directional Spatial Dependencies in Both Time and Frequency Dimensions. Zhen Wang, Suresh Muknahallipatna, Maohong Fan, Austin Okray, Chao Lan |
| 2019 | Mutual Information Generation for Improving Generalization and Interpretation in Neural Networks. Ryotaro Kamimura |
| 2019 | NAO Index Prediction using LSTM and ConvLSTM Networks Coupled with Discrete Wavelet Transform. Bin Mu, Jing Li, Shijin Yuan, Xiaodan Luo, Guokun Dai |
| 2019 | Nested Hardware Architecture for Self-Organizing Map. Hiroomi Hikawa |
| 2019 | Nested Variance Estimating VAE/GAN for Face Generation. Hong-You Chen, Chi-Jen Lu |
| 2019 | Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. Yasutoshi Ida, Yasuhiro Fujiwara |
| 2019 | Network Search for Binary Networks. Jiajun Du, Yu Qin, Hongtao Lu |
| 2019 | Neural Morphological Segmentation Model for Mongolian. Weihua Wang, Rashel Fam, Feilong Bao, Yves Lepage, Guanglai Gao |
| 2019 | Neural Network Based Inverse System Identification from Small Data Sets. Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty |
| 2019 | Neural Networks Applied in the Prediction of Top Oil Temperature of Transformer. Wenxia Pan, Kun Zhao, Tianao Gao, Congchuang Gao |
| 2019 | Neural Networks for Lung Cancer Detection through Radiomic Features. Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone |
| 2019 | Neural Population Coding for Effective Temporal Classification. Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | Neural Regression Trees. Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj, Rita Singh |
| 2019 | NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu |
| 2019 | Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. Matthias Kerzel, Erik Strahl, Connor Gaede, Emil Gasanov, Stefan Wermter |
| 2019 | Neuromemristive Multi-Layer Random Projection Network with On-Device Learning. Abdullah M. Zyarah, Dhireesha Kudithipudi |
| 2019 | Noise-Aware Network Embedding for Multiplex Network. Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi |
| 2019 | Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems. Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj |
| 2019 | Non-negative Autoencoder with Simplified Random Neural Network. Yonghua Yin, Erol Gelenbe |
| 2019 | Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong |
| 2019 | Nonmodular Architectures of Cognitive Systems based on Active Inference. Manuel Baltieri, Christopher L. Buckley |
| 2019 | Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. Utku Ozbulak, Arnout Van Messem, Wesley De Neve |
| 2019 | Novel Ceiling Neuron Model and its Applications. Rama Murthy Garimella, Sai Dileep Munugoti, Anil Rayala |
| 2019 | OCSVM-based Evaluation Method for Generative Neural Networks. Artúr István Károly, Márta Takács, Péter Galambos |
| 2019 | On Class Imbalance and Background Filtering in Visual Relationship Detection. Alessio Sarullo, Tingting Mu |
| 2019 | On Correlation of Features Extracted by Deep Neural Networks. Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada |
| 2019 | On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin |
| 2019 | On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy |
| 2019 | On The Stability of Interpretable Models. Riccardo Guidotti, Salvatore Ruggieri |
| 2019 | On evaluating the online local pool generation method for imbalance learning. Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin |
| 2019 | On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis. Mohamed Amine Marnissi, Hajer Fradi, Jean-Luc Dugelay |
| 2019 | On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks. Tiago J. dos Santos, Carlos A. B. Mello, Cleber Zanchettin, Thiago V. M. de Souza |
| 2019 | On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube. Sergey V. Sidorov, Nikolai Yu. Zolotykh |
| 2019 | On the Performance of Differential Evolution for Hyperparameter Tuning. Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke |
| 2019 | Online Estimation of Multiple Dynamic Graphs in Pattern Sequences. Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki |
| 2019 | Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou |
| 2019 | Optimization of a Convolutional Neural Network Using a Hybrid Algorithm. Chia-Ling Huang, Yan-Chih Shih, Chyh-Ming Lai, Vera Yuk Ying Chung, Wenbo Zhu, Wei-Chang Yeh, Xiangjian He |
| 2019 | Optimization of chemical processes applying surrogate models for phase equilibrium calculations. Corina Nentwich, Christopher Varela, Sebastian Engell |
| 2019 | Optimizing Weight Value Quantization for CNN Inference. Wakana Nogami, Tsutomu Ikegami, Shin-ichi O'Uchi, Ryousei Takano, Tomohiro Kudoh |
| 2019 | PROMISE: A Taxi Recommender System Based on Inter-regional Passenger Mobility. Xiaojun Li, Yu-e Sun, Qian Liu, Zhiwei Shen, Benjian Song, Yang Du, He Huang |
| 2019 | Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun |
| 2019 | Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke |
| 2019 | Parallel convolution algorithm using implicit matrix multiplication on multi-core CPUs. Qinglin Wang, Songzhu Mei, Jie Liu, Chunye Gong |
| 2019 | Parallelizing Basis Pursuit Denoising. Cory Kromer-Edwards, Suely Oliveira, David E. Stewart |
| 2019 | Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons. Hoon Chung, Euisok Chung, Jeon Gue Park, Ho-Young Jung |
| 2019 | Paraphrase Generation with Collaboration between the Forward and the Backward Decoder. Qianlong Wang, Jiangtao Ren |
| 2019 | Patching Deep Neural Networks for Nonstationary Environments. Sebastian Kauschke, David Hermann Lehmann, Johannes Fürnkranz |
| 2019 | Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2019 | Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting. Nurilla Avazov, Jiamou Liu, Bakhadyr Khoussainov |
| 2019 | Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization. Yijun Su, Xiang Li, Wei Tang, Daren Zha, Ji Xiang, Neng Gao |
| 2019 | Personalizing Session-based Recommendation with Dual Attentive Neural Network. Tianan Liang, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Yi Hu |
| 2019 | Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. Honggang Wang, Weizhong Yan, Shaopeng Liu |
| 2019 | Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters. Yueheng Li, Biao Luo, Derong Liu, Zhe Dong, Zhanyu Yang |
| 2019 | PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud. Shuxin Zhao, Chaochen Gu, Changsheng Lu, Ye Huang, Kaijie Wu, Xinping Guan |
| 2019 | Pose estimator and tracker using temporal flow maps for limbs. Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak |
| 2019 | Practical stochastic separation theorems for product distributions. Bogdan Grechuk |
| 2019 | Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara |
| 2019 | Predicting Group Cohesiveness in Images. Shreya Ghosh, Abhinav Dhall, Nicu Sebe, Tom Gedeon |
| 2019 | Predicting Household Water Consumption Events: Towards a Personalised Recommender System to Encourage Water-conscious Behaviour. Md Shamsur Rahim, Khoi Anh Nguyen, Rodney Anthony Stewart, Damien Giurco, Michael Blumenstein |
| 2019 | Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. Ilianna Kollia, Andreas-Georgios Stafylopatis, Stefanos D. Kollias |
| 2019 | Predicting Performance using Approximate State Space Model for Liquid State Machines. Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly |
| 2019 | Prediction Intervals With LSTM Networks Trained By Joint Supervision. Nicolás Cruz, Luis Gabriel Marín, Doris Sáez |
| 2019 | Prediction Using LSTM Networks. Sahar Arshi, Li Zhang, Rebecca Strachan |
| 2019 | Preempting Catastrophic Forgetting in Continual Learning Models by Anticipatory Regularization. Alaa El Khatib, Fakhri Karray |
| 2019 | Proactive Minimization of Convolutional Networks. Bendegúz Jenei, Gábor Berend, László Varga |
| 2019 | Probabilistic Margin-Aware Multi-Label Feature Selection by Preserving Spatial Consistency. Yu Yin, Shuai An, Jun Wang, Jinmao Wei, Jianhua Ruan |
| 2019 | Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani |
| 2019 | Programming Style Analysis with Recurrent Neural Network to Automatic Pull Request Approval. Lucas Roque, Altino Dantas, Celso G. Camilo-Junior |
| 2019 | Projectron - A Shallow and Interpretable Network for Classifying Medical Images. Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh |
| 2019 | Prostate Segmentation using 2D Bridged U-net. Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang |
| 2019 | Pruned Sets for Multi-Label Stream Classification without True Labels. Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri |
| 2019 | Pyramid Attention Dense Network for Image Super-Resolution. Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang |
| 2019 | Qualitative data clustering: a new Integer Linear Programming model. Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes |
| 2019 | Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. Satoshi Moriya, Hideaki Yamamoto, Ayumi Hirano-Iwata, Shigeru Kubota, Shigeo Sato |
| 2019 | Quantitative Trading on Stock Market Based on Deep Reinforcement Learning. Jia Wu, Chen Wang, Lidong Xiong, Hongyong Sun |
| 2019 | Quantum-Inspired Neural Architecture Search. Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco |
| 2019 | Query recommendation based on improved query flow graph Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang |
| 2019 | Question Answering with Hierarchical Attention Networks. Tayfun Alpay, Stefan Heinrich, Michael Nelskamp, Stefan Wermter |
| 2019 | RASE: Relationship Aware Social Embedding. Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang |
| 2019 | RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth |
| 2019 | RNN-based speech synthesis using a continuous sinusoidal model. Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh |
| 2019 | RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization. Jia Wu, Senpeng Chen, Xiuyun Chen |
| 2019 | RSLIME: An Efficient Feature Importance Analysis Approach for Industrial Recommendation Systems. Fan Zhu, Min Jiang, Yiming Qiu, Chenglong Sun, Min Wang |
| 2019 | Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric. Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff, Kaustubh R. Patil |
| 2019 | Real-time Accurate Object Counting for Smart Farms. Hao Shang, Rui Li, Xu He, Jilong Wang, Xinhui Peng |
| 2019 | Recognition of patterns of optimal diel vertical migration of zooplankton using neural networks. Oleg A. Kuzenkov, Andrew Morozov, Galina Kuzenkova |
| 2019 | Reconfiguration of Electric Power Distribution Networks using Unineuron and Nullneuron. Mariane M. Santana, Pyramo P. da Costa, Maury M. Gouvea Jr., Fabricio P. Lucas |
| 2019 | Recurrent Layer Aggregation using LSTM. Yu Qin, Jiajun Du, Xinyao Wang, Hongtao Lu |
| 2019 | Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification. Thy Nguyen, Tayo Obafemi-Ajayi |
| 2019 | Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |
| 2019 | Reference-oriented Loss for Person Re-identification. Mingyang Yu, Zhigang Chang, Qin Zhou, Shibao Zheng, Tai-Pang Wu |
| 2019 | Regularization and Iterative Initialization of Softmax for Fast Training of Convolutional Neural Networks. Qiang Rao, Bing Yu, Kun He, Bailan Feng |
| 2019 | Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm. Philippe Thomas, Marie-Christine Suhner, William Derigent |
| 2019 | Removing Movable Objects from Grid Maps of Self-Driving Cars Using Deep Neural Networks. Ranik Guidolini, Raphael V. Carneiro, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza |
| 2019 | Representation Learning vs. Handcrafted Features for Music Genre Classification. Rodolfo Miranda Pereira, Yandre M. G. Costa, Rafael de Lima Aguiar, Alceu S. Britto Jr., Luiz E. S. Oliveira, Carlos N. Silla |
| 2019 | Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam |
| 2019 | Representation-dimensionality Trade-off in Biological Sequence-based Inference. Bahman Asadi, Mahesan Niranjan |
| 2019 | Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube. Yuichi Katori, Hakaru Tamukoh, Takashi Morie |
| 2019 | Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus |
| 2019 | Restricted Boltzmann Machines: an Eigencentrality-based Approach. Andrew Skabar |
| 2019 | Retina-inspired Visual Module for Robot Navigation in Complex Environments. Hans Lehnert, María-José Escobar, Mauricio Araya |
| 2019 | RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space. Hongming Zhang, Fangjuan Cheng, Bo Xu, Feng Chen, Jiachen Liu, Wei Wu |
| 2019 | Risk Prediction for Imbalanced Data in Cyber Security : A Siamese Network-based Deep Learning Classification Framework. Degang Sun, Zhengrong Wu, Yan Wang, Qiujian Lv, Bo Hu |
| 2019 | Road Detection via Deep Residual Dense U-Net. Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang |
| 2019 | Robust Neuro-adaptive Asymptotic Consensus for a Class of Uncertain Multi-agent Systems: An Edge-based Paradigm. Dongdong Yue, Qi Li, Jinde Cao, Xuegang Tan |
| 2019 | Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. Fateme Fahiman, Sarah M. Erfani, Christopher Leckie |
| 2019 | RsyGAN: Generative Adversarial Network for Recommender Systems. Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2019 | SAI a Sensible Artificial Intelligence that plays Go. Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto |
| 2019 | SE-GAN: A Swap Ensemble GAN Framework. Licheng Shen, Yan Yang |
| 2019 | SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks. Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang |
| 2019 | SOM-based Algorithm for Multi-armed Bandit Problem. Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi |
| 2019 | SRAGAN: Generating Colour Landscape Photograph from Sketch. Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang |
| 2019 | SSA: A More Humanized Automatic Evaluation Method for Open Dialogue Generation. Zhiqiang Zhan, Zifeng Hou, Qichuan Yang, Jianyu Zhao, Yang Zhang, Changjian Hu |
| 2019 | ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network. Lu Gao, Yuhua Li, Ruixuan Li, Zhenlong Zhu, Xiwu Gu, Olivier Habimana |
| 2019 | Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman |
| 2019 | Scene Recognition via Object-to-Scene Class Conversion: End-to-End Training. Hongje Seong, Junhyuk Hyun, Hyunbae Chang, Suhyeon Lee, Suhan Woo, Euntai Kim |
| 2019 | Selective Expression For Event Coreference Resolution on Twitter. Wenhan Chao, Ping Wei, Zhunchen Luo, Xiao Liu, Guobin Sui |
| 2019 | Selective Hypothesis Transfer for Lifelong Learning. Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2019 | Self-Attention based Network For Medical Query Expansion. Su Chen, Qinmin Vivian Hu, Yang Song, Yun He, Huaying Wu, Liang He |
| 2019 | Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data. Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega |
| 2019 | Self-organizing neurons: toward brain-inspired unsupervised learning. Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui |
| 2019 | Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams. Carlos A. S. da Silva, Renato A. Krohling |
| 2019 | Seq-DNC-seq: Context Aware Dialog Generation System Through External Memory. Donghyun Kang, Minho Lee |
| 2019 | Seq2Seq Deep Learning Models for Microtext Normalization. Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria |
| 2019 | Sequencing the musical sections with deep learning. Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng |
| 2019 | Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator. Malte Schilling |
| 2019 | Short Text Topic Modeling with Flexible Word Patterns. Xiaobao Wu, Chunping Li |
| 2019 | Short-term Prediction of Hyperchaotic Flow Using Echo State Network. Aren Sinozaki, Kota Shiozawa, Kazuki Kajita, Takaya Miyano, Yoshihiko Horio |
| 2019 | ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search. Kevin Alexander Laube, Andreas Zell |
| 2019 | Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition. Rong Liu, Chunyan Xu, Tong Zhang, Wenting Zhao, Zhen Cui, Jian Yang |
| 2019 | Siamese Deep Dictionary Learning. Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh |
| 2019 | Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas |
| 2019 | Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon |
| 2019 | Single View Distortion Correction using Semantic Guidance. Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató |
| 2019 | Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz |
| 2019 | SkiDNet: Skip Image Denoising Network for X-Rays. Sandipan Dutta, Shaurya Chaturvedi, Swaraj Kumar, M. P. S. Bhatia |
| 2019 | Skin lesion segmentation using deep learning for images acquired from smartphones. Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling |
| 2019 | Skip The Question You Don't Know: An Embedding Space Approach. Kaiyuan Chen, Jinghao Zhao |
| 2019 | Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon |
| 2019 | Smooth Deep Network Embedding. Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo |
| 2019 | Social Network Polluting Contents Detection through Deep Learning Techniques. Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2019 | SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. Diogo Pernes, Jaime S. Cardoso |
| 2019 | Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek |
| 2019 | Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. Franck Dufrenois, Denis Hamad |
| 2019 | Sparsity as the Implicit Gating Mechanism for Residual Blocks. Shaeke Salman, Xiuwen Liu |
| 2019 | Spatial Event Prediction via Multivariate Time Series Analysis of Neighboring Social Units using Deep Neural Networks. Bonaventure C. Molokwu, Ziad Kobti |
| 2019 | Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network. Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, Zhaojie Ju, Honghai Liu |
| 2019 | Spatial and Channel Restraint for Complementary Feature Learning. Donghui Liu, Wei Fang, Ziwei Wang |
| 2019 | Spatial-Temporal Attention Network for Malware Detection Using Micro-architecture Features. Fang Li, Jinrong Han, Ziyuan Zhu, Dan Meng |
| 2019 | Spatio-temporal Active Learning for Visual Tracking. Chenfeng Liu, Pengfei Zhu, Qinghua Hu |
| 2019 | Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks. Esma Mansouri-Benssassi, Juan Ye |
| 2019 | Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs. Khuong N. Nguyen, Jaewook Yoo, Yoonsuck Choe |
| 2019 | Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh |
| 2019 | Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee |
| 2019 | Sports Motion Recognition based on Foot Trajectory State Sequence Mapping. Lingjia Huang, Hao Ma, Weichao Yan, Wuda Liu, Haoyang Liu, Zaiyue Yang |
| 2019 | SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks. Matheus I. Hertzog, Ulisses Brisolara Corrêa, Ricardo M. Araújo |
| 2019 | Stable Network Morphism. Tao Wei, Changhu Wang, Chang Wen Chen |
| 2019 | Static Crowd Scene Analysis via Deep Network with Multi-branch Dilated Convolution Blocks. Haoran Liu, Aiwen Jiang, Qiaosi Yi, Xiaolin Deng, Jianyi Wan, Mingwen Wang |
| 2019 | Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data. Itay Mosafi, Eli (Omid) David, Nathan S. Netanyahu |
| 2019 | StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2019 | Stepwise Acquisition of Dialogue Act Through Human-Robot Interaction. Akane Matsushima, Ryosuke Kanajiri, Yusuke Hattori, Chie Fukada, Natsuki Oka |
| 2019 | Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2019 | Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi |
| 2019 | Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2019 | Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun |
| 2019 | Strong-Background Restrained Cross Entropy Loss for Scene Text Detection. Randong Huang, Bo Xu |
| 2019 | Structured Pruning for Efficient ConvNets via Incremental Regularization. Huan Wang, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu |
| 2019 | Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children. Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi |
| 2019 | Subword Semantic Hashing for Intent Classification on Small Datasets. Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki |
| 2019 | Supervised Kernel Transform Learning. Jyoti Maggu, Angshul Majumdar |
| 2019 | Synaptic Learning of Long-Term Cognitive Networks with Inputs. Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé |
| 2019 | Syntax Tree Aware Adversarial Question Rewriting for Answer Selection. Shuang Qin, Wenge Rong, Libin Shi, Jianxin Yang, Haodong Yang, Zhang Xiong |
| 2019 | Synthetic Lung Nodule 3D Image Generation Using Autoencoders. Steve Kommrusch, Louis-Noël Pouchet |
| 2019 | Synthetic-to-Real Domain Adaptation for Object Instance Segmentation. Hui Zhang, Yonglin Tian, Kunfeng Wang, Haibo He, Fei-Yue Wang |
| 2019 | TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation. Min Shi, Yufei Tang, Jianxun Liu |
| 2019 | TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction. Lei Zhu, Tianrui Li, Shengdong Du |
| 2019 | TCoD: A Traveling Companion Discovery Method Based on Clustering and Association Analysis. Ruihong Yao, Fei Wang, Shuhui Chen |
| 2019 | TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors. Alberto Garcia-Garcia, Brayan S. Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, José García Rodríguez |
| 2019 | Targeted Black-Box Adversarial Attack Method for Image Classification Models. Su Zheng, Jialin Chen, Lingli Wang |
| 2019 | Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. Christian Jarvers, Daniel Schmid, Heiko Neumann |
| 2019 | Tensor Ring Restricted Boltzmann Machines. Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu |
| 2019 | Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. Fayeem Aziz, Stephan K. Chalup |
| 2019 | Text Attention and Focal Negative Loss for Scene Text Detection. Randong Huang, Bo Xu |
| 2019 | Text Classification Using Gated and Transposed Attention Networks. Kang He, Min Zhu |
| 2019 | The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. Ahmed Marzouk, Pablo V. A. Barros, Manfred Eppe, Stefan Wermter |
| 2019 | The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems. Yu-Han Tsai, Yu-Jie Jheng, Rua-Huan Tsaih |
| 2019 | The Emergent-Context Emergent-Input Framework for Temporal Processing. Xiang Wu, Juyang Weng |
| 2019 | The Impact of Image Resolution on Facial Expression Analysis with CNNs. Asad Abbas, Stephan K. Chalup |
| 2019 | To Comprehend the New: On Measuring the Freshness of a Document. Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | Toward Next Generation of Autonomous Systems with AI. Danil V. Prokhorov |
| 2019 | Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations. Julia El Zini, Yara Rizk, Mariette Awad, Jumana Antoun |
| 2019 | Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David L. Macêdo, Byron L. D. Bezerra |
| 2019 | Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. Eduardo C. de Carvalho, Bruno V. Ferreira, Geraldo P. R. Filho, Pedro Henrique Gomes, Gustavo Medeiros Freitas, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin |
| 2019 | Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos |
| 2019 | Training Deep Neural Networks with Adversarially Augmented Features for Small-scale Training Datasets. Masato Ishii, Atsushi Sato |
| 2019 | Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao |
| 2019 | Transfer Entropy Based Connectivity Estimation of Spontaneously Firing Hippocampal Cultures on Multi Electrode Arrays. Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity |
| 2019 | Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2019 | Transfer Learning for Network Classification. Bowen Dong, Charu C. Aggarwal, Philip S. Yu |
| 2019 | Transfer Learning for Piano Sustain-Pedal Detection. Beici Liang, György Fazekas, Mark B. Sandler |
| 2019 | Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks. Jun Hu, Wendong Zheng |
| 2019 | Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design. Alexander Gee, Hussein A. Abbass |
| 2019 | TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici |
| 2019 | Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya |
| 2019 | Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks. Kenzo Miranda Sakiyama, Andre Quintiliano Bezerra Silva, Edson Takashi Matsubara |
| 2019 | Two-Stream Convolution Neural Network with Video-stream for Action Recognition. Wei Dai, Yimin Chen, Chen Huang, Ming-ke Gao, Xinyu Zhang |
| 2019 | Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin |
| 2019 | Unbounded Recurrent Fuzzy Min-Max Neural Network for Pattern Classification. Jaishri M. Waghmare, Uday V. Kulkarni |
| 2019 | Understanding Language Dependency on Emotional Speech using Siamese Network. Swaraj Kumar, Shaurya Chaturvedi, Sandipan Dutta |
| 2019 | Underwater Fish Detection with Weak Multi-Domain Supervision. Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves |
| 2019 | Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. Qian Wang, Penghui Bu, Toby P. Breckon |
| 2019 | Universal Readout for Graph Convolutional Neural Networks. Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2019 | Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. Kevin Louis de Jong, Anna Sergeevna Bosman |
| 2019 | Unsupervised Domain Adaptation using Graph Transduction Games. Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo |
| 2019 | Unsupervised Domain Adaptation with Sphere Retracting Transformation. Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang |
| 2019 | Unsupervised Feature Learning for Visual Place Recognition in Changing Environments. Dongye Zhao, Bailu Si, Fengzhen Tang |
| 2019 | Unsupervised Learning of Eye Gaze Representation from the Web. Neeru Dubey, Shreya Ghosh, Abhinav Dhall |
| 2019 | Unsupervised Meta-Learning for Clustering Algorithm Recommendation. Bruno Almeida Pimentel, André C. P. L. F. de Carvalho |
| 2019 | Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation. Yuqian Zhou, Kuangxiao Gu, Thomas S. Huang |
| 2019 | Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal. Abhishek Joshi, Vinay P. Namboodiri |
| 2019 | Urban Area Vehicle Re-Identification With Self-Attention Stair Feature Fusion and Temporal Bayesian Re-Ranking. Chenghuan Liu, Du Q. Huynh, Mark Reynolds |
| 2019 | Using Deep Learning for Mobile Marketing User Conversion Prediction. Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau |
| 2019 | Using Local Convolutional Units to Defend Against Adversarial Examples. Matej Kocián, Martin Pilát |
| 2019 | Using Winning Lottery Tickets in Transfer Learning for Convolutional Neural Networks. Ryan Van Soelen, John W. Sheppard |
| 2019 | Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. Mihael Cudic, José C. Príncipe |
| 2019 | Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang |
| 2019 | VN-GAN: Identity-preserved Variation Normalizing GAN for Gait Recognition. Peng Zhang, Qiang Wu, Jingsong Xu |
| 2019 | VT-GAN: View Transformation GAN for Gait Recognition Across Views. Peng Zhang, Qiang Wu, Jingsong Xu |
| 2019 | Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding. Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram |
| 2019 | Vertical and Horizontal Partitioning in Data Stream Regression Ensembles. Jean Paul Barddal |
| 2019 | Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution. Jonathan Mojoo, Motaz Sabri, Takio Kurita |
| 2019 | View-Invariant Gait Recognition Based on Deterministic Learning and Knowledge Fusion. Muqing Deng, Haonan Yang, Jiuwen Cao, Xiaoreng Feng |
| 2019 | Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features. Liang Yang, Xiao-Yuan Jing, Fulin He, Fei Ma, Li Cheng |
| 2019 | Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds. Hongxin Wang, Jigen Peng, Qinbing Fu, Huatian Wang, Shigang Yue |
| 2019 | Visual Relationship Attention for Image Captioning. Zongjian Zhang, Yang Wang, Qiang Wu, Fang Chen |
| 2019 | Visualizing Time Series Data with Temporal Matching Based t-SNE. Kwan Yeung Wong, Fu-Lai Chung |
| 2019 | Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks. Muhammad Umer, Christopher Frederickson, Robi Polikar |
| 2019 | Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation. Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata |
| 2019 | What's in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches. Ulya Bayram, John Pestian, Daniel Santel, Ali A. Minai |
| 2019 | Who should bid higher, NS or WE, in a given Bridge dealƒ. Jacek Mandziuk, Jakub Suchan |
| 2019 | Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition. Jiaxu Zuo, Tom Gedeon, Zhenyue Qin |
| 2019 | Zero-Shot Object Detection for Indoor Robots. Abdalwhab Abdalwhab, Huaping Liu |
| 2019 | Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. Debasmit Das, C. S. George Lee |
| 2019 | eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov |
| 2019 | isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma |
| 2019 | µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression. Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan Zhang, Deming Chen, Yao Chen |
| 2019 | κ-Entropy Based Restricted Boltzmann Machines. Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa |