| 2021 | 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin |
| 2021 | A Contrastive Learning Approach to Auroral Identification and Classification. Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee |
| 2021 | A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators. Lixing Song, Junheng Wang, Junhong Xu |
| 2021 | A Data-driven Affective Text Classification Analysis. Saeid Pourroostaei Ardakani, Can Zhou, Xuting Wu, Yingrui Ma, Jizhou Che |
| 2021 | A Deep Learning-based Approach for Real-time Facemask Detection. Wadii Boulila, Ayyub Alzahem, Aseel Almoudi, Muhanad Afifi, Ibrahim Alturki, Maha Driss |
| 2021 | A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista |
| 2021 | A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |
| 2021 | A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi |
| 2021 | A Markov Decision Processes Modeling for Curricular Analytics. Ahmad Slim, Husain Al Yusuf, Nadine Abbas, Chaouki T. Abdallah, Gregory L. Heileman, Ameer Slim |
| 2021 | A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection. Matías Tailanián, Pablo Musé, Álvaro Pardo |
| 2021 | A Novel Convolutional Neural Network For Pavement Crack Segmentation. Erkai Li, Huiming Tang |
| 2021 | A Physics-Informed Graph Attention-based Approach for Power Flow Analysis. Ashkan B. Jeddi, Abdollah Shafieezadeh |
| 2021 | A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference. Duc Hau Nguyen, Guillaume Gravier, Pascale Sébillot |
| 2021 | A Transformer-based Approach for Translating Natural Language to Bash Commands. Quchen Fu, Zhongwei Teng, Jules White, Douglas C. Schmidt |
| 2021 | A Validation Framework for ARP Similarity Measure. Sergiu Limboi, Mara Deac-Petrusel |
| 2021 | A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERT. Eric Hans Messias Da Silva, João Laterza, Marcos Paulo Pereira Da Silva, Marcelo Ladeira |
| 2021 | Active Learning and Machine Teaching for Online Learning: A Study of Attention and Labelling Cost. Agnes Tegen, Paul Davidsson, Jan A. Persson |
| 2021 | Active Learning of Markov Decision Processes using Baum-Welch algorithm. Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard |
| 2021 | Active Learning to Support In-situ Process Monitoring in Additive Manufacturing. Siva Krishna Dasari, Abbas Cheddad, Lars Lundberg, Jonatan Palmquist |
| 2021 | Aircraft Numerical "Twin": A Time Series Regression Competition. Adrien Pavao, Isabelle Guyon, Nachar Stéphane, Fabrice Lebeau, Martin Ghienne, Ludovic Platon, Tristan Barbagelata, Pierre Escamilla, Sana Mzali, Meng Liao, Sylvain Lassonde, Antonin Braun, Slim Ben-Amor, Liliana Cucu-Grosjean, Marwan Wehaiba, Avner Bar-Hen, Adriana Gogonel, Alaeddine Ben Cheikh, Marc Duda, Julien Laugel, Mathieu Marauri, Mhamed Souissi, Théo Lecerf, Mehdi Elion, Sonia Tabti, Julien Budynek, Pauline Le Bouteiller, Antonin Penon, Raphaël-David Lasseri, Julien Ripoche, Thomas E. Epalle |
| 2021 | AlphaRA: An AlphaZero based approach to Redundancy Analysis. Helik Kanti Thacker, Atishay Kumar, Adrita Barari, Damini, Ankit Gupta, Keerthi Kiran Jagannathachar, Deokgu Yoon |
| 2021 | Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal |
| 2021 | An Augmented Image Captioning Model: Incorporating Hierarchical Image Information. Nathan Funckes, Erin Carrier, Greg Wolffe |
| 2021 | An Effective Baseline for Robustness to Distributional Shift. Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes |
| 2021 | An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili |
| 2021 | An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients. Federica Mandreoli, Federico Motta, Paolo Missier |
| 2021 | An Unsupervised Learning Methodology for Increasing Human Productivity via VR Training. Sérgio Viademonte, Bruno Duarte Gomes, Ana Carolina Quintao Siravenha, Walisson Cardoso Gomes, Caio Rodrigues, Renan Arthur Tourinho |
| 2021 | An energy-based model for neuro-symbolic reasoning on knowledge graphs. Dominik Dold, Josep Soler Garrido |
| 2021 | Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations. Peyman Rasouli, Ingrid Chieh Yu |
| 2021 | Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler |
| 2021 | Anomaly Detection of actual IoT traffic flows through Deep Learning. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 2021 | Applications of Mobile Machine Learning for Detecting Bio-energy Crops Flowers. Wenjun Zeng, Bakhtiar Amen |
| 2021 | Argue to Learn: Accelerated Argumentation-Based Learning. Hamed Ayoobi, Ming Cao, Rineke Verbrugge, Bart Verheij |
| 2021 | Aspect Oriented Suggestion Extraction from Online Reviews. Tharushi Jayasekara, Ruvan Weerasinghe, Viraj Welgama |
| 2021 | Assessing Eurosystem Policy Rules By Applying Deep Learning Approach. Januj Amar Juneja, A. D. Amar |
| 2021 | Assessment of Neural Networks for Stream-Water-Temperature Prediction. Stefanie Mohr, Konstantina Drainas, Jürgen Geist |
| 2021 | Assisted Maintenance of Automatic Reclosers with Object Detection through Mobile Devices. Francisco Marques, Rodrigo Melo, Alano Martins Pinto, Arthur Bastos, Samira Ribeiro, Ana Gonçalves, Flávio Reis |
| 2021 | Attention on Classification for Fire Segmentation. Milad Niknejad, Alexandre Bernardino |
| 2021 | AuTGeLy: Automatic Title Generator based on Song Lyrics Extractions. Diego Vallejo-Huanga, Esteban Carrera, Jonathan Mañay |
| 2021 | Auto Encoder Based Image Inpainting Model Using Multi Layer Latent Representations. M. M. P. N. Walgampaya, Nihal D. Kodikara, Pradeepa Samarasinghe |
| 2021 | Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. Paul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné |
| 2021 | Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection. Hans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, Matthias Kovatsch |
| 2021 | Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks. Carmine Guida, Ming Zhang, Jordan Blackadar, Zilong Yang, Jeffrey B. Driban, Jeffrey W. Duryea, Lena Schaefer, Charles B. Eaton, Timothy E. McAlindon, Juan Shan |
| 2021 | Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda |
| 2021 | Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries. Pankaj Dikshit, B. Chandra, M. P. Gupta |
| 2021 | BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram. Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan |
| 2021 | Bank transactions embeddings help to uncover current macroeconomics. Maria Begicheva, Alexey Zaytsev |
| 2021 | Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. Narges Manouchehri, Nizar Bouguila, Wentao Fan |
| 2021 | Bidirectional Backpropagation for High-Capacity Blocking Networks. Olaoluwa Adigun, Bart Kosko |
| 2021 | Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu |
| 2021 | Building Action Sets in a Deep Reinforcement Learner. Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman |
| 2021 | BuiltNet: Graph based Spatio-Temporal Indoor Thermal Variation Detection. Naima Khan, Nirmalya Roy |
| 2021 | COCLUBERT: Clustering Machine Learning Source Code. Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah |
| 2021 | CONetV2: Efficient Auto-Channel Size Optimization for CNNs. Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis |
| 2021 | COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images. Xiaohong W. Gao, Alice Gao |
| 2021 | COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection. Mingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng, Hongxin Hu, Feng Luo |
| 2021 | CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description. Mustafizur R. Shahid, Hervé Debar |
| 2021 | Catch Weight Prediction for Multi-Species Fishing using Artificial Neural Networks. Tianbai Chen, Li Zhong, Naweiluo Zhou, Dennis Hoppe |
| 2021 | Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. Wasim Ahmad, Maha Shadaydeh, Joachim Denzler |
| 2021 | Character-level Adversarial Examples in Arabic. Basemah Alshemali, Jugal Kalita |
| 2021 | CiPSI and CiPSINet: a New Dataset and Network for Finding Cars in Panchromatic Satellite Images. Benjamin Parfitt, Tejaishwarya Gagadam |
| 2021 | Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead |
| 2021 | Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment. Oliviero Riganelli, Paolo Saltarel, Alessandro Tundo, Marco Mobilio, Leonardo Mariani |
| 2021 | ComFu: Improving Visual Clustering by Commonality Fusion. Chunchun Li, Manuel Günther, Terrance E. Boult |
| 2021 | Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson |
| 2021 | Condition Monitoring for Power Converters via Deep One-Class Classification. Nikola Markovic, Daniel Vahle, Volker Staudt, Dorothea Kolossa |
| 2021 | Conformal Wearable for Quantification of Dorsiflexion for a Hemiplegic Ankle Pair with Distinction by Machine Learning. Robert LeMoyne, Timothy Mastroianni |
| 2021 | ConfusionTree-Pattern: A Hierarchical Design for an Efficient and Performant Multi-Class Pattern. Michele Franco Adesso, Nicola Wolpert, Elmar Schömer |
| 2021 | Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar |
| 2021 | Contextual road lane and symbol generation for autonomous driving. Ajay Soni, Pratik Padamwar, Krishna Reddy Konda |
| 2021 | Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon |
| 2021 | Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. Qian Wang, Toby P. Breckon |
| 2021 | Conversation Clustering Adaptation for Intent Recognition. Michal Lew, Aleksander Obuchowski, Emilia Kacprzak, Agnieszka Pluwak |
| 2021 | Counter-factual Analysis of On-Line Math Tutoring Impact on Low-income High School Students. Maher Alhossaini, Mohammed Aloqeely |
| 2021 | Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning. Praveen Kumar R, I Niranjan Kumar, Sujith Sivasankaran, A. Mohan Vamsi, Vineeth Vijayaraghavan |
| 2021 | CrypTop12: A Dataset For Cryptocurrency Price Movement Prediction From Tweets And Historical Prices. Amish Garg, Tanav Shah, Vinay Kumar Jain, Raksha Sharma |
| 2021 | CurL-AutoML: Curriculum Learning-based AutoML. Lucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva |
| 2021 | Current Advances on Deep Learning-based Human Action Recognition from Videos: a Survey. Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng |
| 2021 | Curriculum Learning to Handle Extreme Class Imbalance for Acoustic Modeling of Forest Elephant Calls. Jonathan Michael Gomes Selman, Nikita Demir, Peter H. Wrege, Andreas Paepcke |
| 2021 | Damage Estimation and Localization from Sparse Aerial Imagery. Rene Garcia Franceschini, Jeffrey Liu, Saurabh Amin |
| 2021 | Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset. Weijun Tan, Hongwei Guo |
| 2021 | Data Driven football scouting assistance with simulated player performance extrapolation. Shantanu Ghar, Sayali Patil, Venkhatesh Arunachalam |
| 2021 | Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods. Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen |
| 2021 | Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. Youye Xie, Michael B. Wakin, Gongguo Tang |
| 2021 | Data-driven and Automatic Surface Texture Analysis Using Persistent Homology. Melih C. Yesilli, Firas A. Khasawneh |
| 2021 | Decoder Transformer for Temporally-Embedded Health Outcome Predictions. Omar Boursalie, Reza Samavi, Thomas E. Doyle |
| 2021 | Deep Learning Applied on Renewable Energy Forecasting Towards Supply-Demand Matching. Abdulaziz Almalaq, Aymen Alshammarry, Bader Al-Anzi, Fahad Alharbi, Mohammed Alshudukhi |
| 2021 | Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. Yuehan Yin, Yahya Alqahtani, Jinjuan Heidi Feng, Joyram Chakraborty, Michael P. McGuire |
| 2021 | Deep Learning for Morphological Arrhythmia Classification in Encoded ECG Signal. Sandeep S. Mittal, Jack Rothberg, Kanad Ghose |
| 2021 | Deep Learning for Range Localization via Over-Water Electromagnetic Signals. Evan C. Witz, Maria Barger, Randy C. Paffenroth |
| 2021 | Deep Metric Learning for Code Authorship Attribution and Verification. Riley White, Nathan Sprague |
| 2021 | Deep Neural Networks for Detecting Asteroids in the ATLAS Data Pipeline. Noah Kaplan, Rohan Loveland, Larry Denneau |
| 2021 | Deep Semi-supervised Learning for Time Series Classification. Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl |
| 2021 | DeepSplicer: An Improved Method of Splice Sites Prediction using Deep Learning. Victor Akpokiro, Oluwatosin Oluwadare, Jugal Kalita |
| 2021 | Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons. Olaoluwa Adigun, Bart Kosko |
| 2021 | Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions. Daniel Schwartz, Jonathan Michael Gomes Selman, Peter H. Wrege, Andreas Paepcke |
| 2021 | Depression Detection Using Combination of sMRI and fMRI Image Features. Marzieh Mousavian, Jianhua Chen, Steven G. Greening |
| 2021 | Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner |
| 2021 | Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network. Runfeng Miao, Solaiman Shokur, Andrea Cristina De Lima Pardini, Daniel Boari, Mohamed Bouri |
| 2021 | Detecting Information Theft Attacks in the Bot-IoT Dataset. Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson |
| 2021 | Detecting Offensive Content on Twitter During Proud Boys Riots. Md Fahim, Swapna S. Gokhale |
| 2021 | Detecting SSH and FTP Brute Force Attacks in Big Data. John T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy |
| 2021 | Detection of Endoscope Withdrawal Time in Colonoscopy Videos. Ying Li, Alexander Ding, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu |
| 2021 | Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks. Aviv Peled, Shai Fine |
| 2021 | Disease Prediction Based on Individual's Medical History Using CNN. Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung |
| 2021 | Distance Ordering: A Deep Supervised Metric Learning for Pain Intensity Estimation. Jie Ting, Yi-Cheng Yang, Li-Chen Fu, Chu-Lin Tsai, Chien-Hua Huang |
| 2021 | Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu |
| 2021 | Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters |
| 2021 | Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving. Hee Jun Park, Abhinav Goel |
| 2021 | Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training. John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas |
| 2021 | ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker |
| 2021 | EMU: Early Mental Health Uncovering Framework and Dataset. M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner |
| 2021 | Effects of COVID-19 on individuals in Opioid Addiction Recovery. Khaled Mohammed Saifuddin, Esra Akbas, Max Khanov, Jason Beaman |
| 2021 | Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang |
| 2021 | Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural Network. Abtin Shahkarami, Mansoor I. Yousefi, Yves Jaouën |
| 2021 | Elastic distributed training with fast convergence and efficient resource utilization. Guojing Cong |
| 2021 | Emotion Recognition and Sentiment Classification using BERT with Data Augmentation and Emotion Lexicon Enrichment. Vishwa Sai Kodiyala, Robert E. Mercer |
| 2021 | End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents. Fahim Shahriar Khan, Mueeze Al Mushabbir, Mohammad Sabik Irbaz, Md Abdullah Al Nasim |
| 2021 | End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices. Sideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan |
| 2021 | Enhancing Siamese Visual Tracking With Background Relations. Chih-Yang Lin, Shang-Chian Yang, Hui-Fuang Ng, Wei-Yang Lin |
| 2021 | Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept Drift. Sabine Apfeld, Alexander Charlish, Gerd Ascheid |
| 2021 | Estimating the Variance of Return Sequences for Exploration. Zerong Xi, Gita Sukthankar |
| 2021 | Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning. Pankaj Dikshit, B. Chandra |
| 2021 | Evaluation of GAN Architectures For Visualisation of HPV Viruses From Microscopic Images. Xiaohong W. Gao, Xuesong Wen, Dong Li, Weiping Liu, Jichun Xiong, Bin Xu, Juan Liu, Heng Zhang, Xuefeng Liu |
| 2021 | Evolutionary Adversarial Attacks on Payment Systems. Nishant Kumar, Siddharth Vimal, Kanishka Kayathwal, Gaurav Dhama |
| 2021 | Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag |
| 2021 | Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan |
| 2021 | Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors. Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle |
| 2021 | Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar |
| 2021 | Feature Subset Selection based on Redundancy Maximized Clusters. Md. Hasan Tarek, Md. Eusha Kadir, Sadia Sharmin, Abu Ashfaqur Sajib, Amin Ahsan Ali, Mohammad Shoyaib |
| 2021 | Federated Deep Learning for Heterogeneous Edge Computing. Khandaker Mamun Ahmed, Ahmed Imteaj, M. Hadi Amini |
| 2021 | Federated Fine-Tuning Performance on Edge Devices. Marko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter |
| 2021 | Federated Fuzzy Learning with Imbalanced Data. Lukas Johannes Dust, Marina López Murcia, Andreas Mäkilä, Petter Nordin, Ning Xiong, Francisco Herrera |
| 2021 | Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu |
| 2021 | Financial Time Series Forecasting Enriched with Textual Information. Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva |
| 2021 | From images in the wild to video-informed image classification. Marc Böhlen, Raunaq Jain, Wawan Sujarwo, Varun Chandola |
| 2021 | GAN Based Approach for Drug Design. Aninditha Ramesh, Anusha S. Rao, Sanjana Moudgalya, K. S. Srinivas |
| 2021 | Game Character Facial Animation Using Actor Video Corpus and Recurrent Neural Networks. Sheldon Schiffer |
| 2021 | GraFeHTy: Graph Neural Network using Federated Learning for Human Activity Recognition. Abhishek Sarkar, Tanmay Sen, Ashis Kumar Roy |
| 2021 | Graph Convolutional Networks for Categorizing Online Harassment on Twitter. Mozhgan Saeidi, Evangelos E. Milios, Norbert Zeh |
| 2021 | Guided-Generative Network for noise detection in Monte-Carlo rendering. Jérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud |
| 2021 | Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes. Jack Ziegler, Ryan M. McGranaghan |
| 2021 | Hashtags: an essential aspect of topic modeling of city events through social media. Mikhail V. Kovalchuk, Denis A. Nasonov |
| 2021 | Homogeneous Transfer Active Learning for Time Series Classification. Patrick Kinyua Gikunda, Nicolas Jouandeau |
| 2021 | Homology Preserving Graph Compression. Mehmet Emin Aktas, Thu Nguyen, Esra Akbas |
| 2021 | How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection. Louis Jensen, Jayme Fosa, Ben Teitelbaum, Peter Chin |
| 2021 | IVDR: Imitation learning with Variational inference and Distributional Reinforcement learning to find Optimal Driving Strategy. Kihyung Joo, Simon S. Woo |
| 2021 | Identification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapy. Jin Li, Yixin Liu, Jingquan Wu |
| 2021 | Identifying Catheter and Line Position in Chest X-Rays Using GANs. Milan Aryal, Nasim Yahyasoltani |
| 2021 | Identifying Duplicate Police Reports. Alan Firmiano, Ticiana L. Coelho da Silva |
| 2021 | Impact of reverberation through deep neural networks on adversarial perturbations. Romain Cohendet, Miguel Solinas, Rémi Bernhard, Marina Reyboz, Pierre-Alain Moëllic, Yannick Bourrier, Martial Mermillod |
| 2021 | Improve Learner-based Recommender System with Learner's Mood in Online Learning Platform. Qing Tang, Marie-Hélène Abel, Elsa Negre |
| 2021 | Improved Attribute Manipulation in the Latent Space of StyleGAN for Semantic Face Editing. Aashish Rai, Clara Ducher, Jeremy R. Cooperstock |
| 2021 | Improved CNN classification accuracy with the addition of shallow cascading CNNs. Vasileios Pentsos, Bijay Raj Paudel, Spyros Tragoudas, Kiriti Nagesh Gowda, Mike Schmit |
| 2021 | Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors. Niall Lyons, Avik Santra, Ashutosh Pandey |
| 2021 | Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. Jun Zhu, Gautier Viaud, Céline Hudelot |
| 2021 | In Search of Probeable Generalization Measures. Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis |
| 2021 | Incremental Learning Vector Auto Regression for Forecasting with Edge Devices. Venkata Pesala, Topon Kumar Paul, Ken Ueno, H. G. S. Praneeth Bugata, Ankit Kesarwani |
| 2021 | Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition. Antonia Adler, Michaela Geierhos, Eleanor Hobley |
| 2021 | Influential nodes detection in complex networks via diffusion Fréchet function. Mehmet Emin Aktas, Sidra Jawaid, Ebony Harrington, Esra Akbas |
| 2021 | Instance-based Label Smoothing For Better Calibrated Classification Networks. Mohamed Maher, Meelis Kull |
| 2021 | Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow. Ye-Sheen Lim, Denise Gorse |
| 2021 | Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation Model. Rania Islambouli, Sandy Ingram, Denis Gillet |
| 2021 | KerasBERT: Modeling the Keras Language. Connor Shorten, Taghi M. Khoshgoftaar |
| 2021 | Kernel Factorisation Machines. Francois Buet-Golfouse, Islam Utyagulov |
| 2021 | Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction. Yasutaka Furusho, Shuhei Nitta, Yukinobu Sakata |
| 2021 | LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS. Victor Elijah Adeyemo, Anna Palczewska, Ben Jones |
| 2021 | LE-CapsNet: A Light and Enhanced Capsule Network. Pouya Shiri, Amirali Baniasadi |
| 2021 | LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network. Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh, Himanshu Arora, Yashwant Saini |
| 2021 | Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing. Jan-Christoph Schmitz, Adrian Bauer, Anton Kummert |
| 2021 | Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning Methods. Lingxiao Wang, Shuo Pang, Jinlong Li |
| 2021 | Learning Free-Surface Flow with Physics-Informed Neural Networks. Raphael Leiteritz, Marcel Hurler, Dirk Pflüger |
| 2021 | Learning Mathematical Relations Using Deep Tree Models. Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho |
| 2021 | Learning Medical Risk Scores for Pediatric Appendicitis. Pedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt |
| 2021 | Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection. Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert |
| 2021 | Leveraging Transformers for StarCraft Macromanagement Prediction. Muhammad Junaid Khan, Shah Hassan, Gita Sukthankar |
| 2021 | Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner |
| 2021 | ME-TSRN for Thermal Sensation Recognition via Facial Micro-expression. Xinhui Zhao, Kai Tang, Kazushige Ouchi |
| 2021 | MLCHECK- Property-Driven Testing of Machine Learning Classifiers. Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim |
| 2021 | Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. Marwin Züfle, Florian Erhard, Samuel Kounev |
| 2021 | Maximizing University Enrollment Using Institutional-Based Aid Scholarship. Ahmad Slim, Don R. Hush, Tushar Ojha, Georges El-Howayek, Chaouki T. Abdallah, Terry Babbitt |
| 2021 | Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention. Tak-Sung Heo, Yongmin Yoo, Yeongjoon Park, Byeong-Cheol Jo, Kyounguk Lee, Kyungsun Kim |
| 2021 | Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci |
| 2021 | MetaPrep: Data preparation pipelines recommendation via meta-learning. Fernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva |
| 2021 | Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Peter Chin |
| 2021 | Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution. Alexis Amezaga Hechavarria, M. Omair Shafiq |
| 2021 | Modeling approaches for Silent Attrition prediction in Payment networks. Lalasa Dheekollu, Hardik Wadhwa, Siddharth Vimal, Anubhav Gupta, Siddhartha Asthana, Ankur Arora, Smriti Gupta |
| 2021 | Monitoring Karting Pilot's Moodflow: a First Experience. Carolina Frangeto, Marcius Fabius Carvalho, Frédéric Andrès, Bernard Blancan, Lia Toledo Moreira Mota |
| 2021 | Mood detection ontology integration with teacher context. Nader N. Nashed, Christine Lahoud, Marie-Hélène Abel, Frédéric Andrès, Bernard Blancan |
| 2021 | Multi-Agent Deep Reinforcement Learning for Walker Systems. Inhee Park, Teng-Sheng Moh |
| 2021 | Multi-Slice Clustering for 3-order Tensor. Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah |
| 2021 | Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi |
| 2021 | Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. Zongyu Dai, Zhiqi Bu, Qi Long |
| 2021 | Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. Aneesh Komanduri, Justin Zhan |
| 2021 | Novelty-based Generalization Evaluation for Traffic Light Detection. Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren |
| 2021 | ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling. Jaydeep Chakraborty, Hamada M. Zahera, Mohamed Ahmed Sherif, Srividya K. Bansal |
| 2021 | ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir |
| 2021 | On Learning Probabilistic Partial Lexicographic Preference Trees. Xudong Liu |
| 2021 | On Natural Language Processing Applications for Military Dialect Classification. J. T. Charith Gunasekara, Tobias Carryer, Matthew Triff |
| 2021 | One Node at a Time: Node-Level Network Classification. Saray Shai, Isaac Jacobs, Peter J. Mucha |
| 2021 | Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon |
| 2021 | OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms. Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini |
| 2021 | Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning. Yanfang Wang, Jianhua Chen, Seung Kam, Anqi Bao |
| 2021 | Outperforming Clinical Practices in Breast Cancer Detection: A Superior Dense Neural Network in Classification and False Negative Reduction. Patrick Bujok, Maria Jensen, Steffen M. Larsen, Robert A. Alphinas |
| 2021 | PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. Maya Kapoor, Joshua Melton, Michael Ridenhour, Siddharth Krishnan, Thomas Moyer |
| 2021 | Pairwise Margin Maximization for Deep Neural Networks. Berry Weinstein, Shai Fine, Yacov Hel-Or |
| 2021 | Perceptually Constrained Fast Adversarial Audio Attacks. Jason Henry, Mehmet Ergezer, Marko Orescanin |
| 2021 | PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing. Simon Stieber, Niklas Schröter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif |
| 2021 | Pneumonia Detection with Game-theoretic Rough Sets. Suby Singh, JingTao Yao |
| 2021 | PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation. Philipp Viertel, Matthias König, Jan Rexilius |
| 2021 | Practical Active Learning with Model Selection for Small Data. Maryam Pardakhti, Nila Mandal, Anson W. K. Ma, Qian Yang |
| 2021 | Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG Recordings. Felix Havugimana, Mohammed Bany Muhammad, Kazi Ashraf Moinudin, Mohammed Yeasin |
| 2021 | Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning. Juan Manuel Parrilla Gutierrez |
| 2021 | Predicting YOLO Misdetection by Learning Grid Cell Consensus. Bijay Raj Paudel, Danushka Senarathna, Haibo Wang, Spyros Tragoudas, Yao Hu, Shengbing Jiang |
| 2021 | Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage. Vaskar Nath, David Sheldon, John Alphonso-Gibbs |
| 2021 | Probabilistic Multi-knowledge Transfer in Reinforcement Learning. Daniel Fernández, Fernando Fernández, Javier García |
| 2021 | Progressive Transmission and Inference of Deep Learning Models. Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi |
| 2021 | Proxy Model Explanations for Time Series RNNs. Zach Wood-Doughty, Isabel Cachola, Mark Dredze |
| 2021 | Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters. Anand Ravishankar, Santhi Natarajan, A. Bharathi Malakreddy |
| 2021 | PrunedCaps: A Case For Primary Capsules Discrimination. Ramin Sharifi, Pouya Shiri, Amirali Baniasadi |
| 2021 | Purrai: A Deep Neural Network based Approach to Interpret Domestic Cat Language. Weilin Sun, Vincent Lu, Aaron Truong, Hermione Bossolina, Yuan Lu |
| 2021 | ROWBACK: RObust Watermarking for neural networks using BACKdoors. Nandish Chattopadhyay, Anupam Chattopadhyay |
| 2021 | Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring. Marc Wenninger, Sebastian P. Bayerl, Andreas Maier, Jochen Schmidt |
| 2021 | Regularized Sequential Latent Variable Models with Adversarial Neural Networks. Jin Huang, Ming Xiao |
| 2021 | Resiliency of SNN on Black-Box Adversarial Attacks. Bijay Raj Paudel, Aashish Itani, Spyros Tragoudas |
| 2021 | Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. Rishab Sharma, Fatemeh H. Fard, Apurva Narayan |
| 2021 | Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning. Haoran Wang, Shi Yu |
| 2021 | Robust Collaborative Fraudulent Transaction Detection using Federated Learning. Delton Myalil, M. A. Rajan, Manoj Apte, Sachin Lodha |
| 2021 | Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. Justin M. Johnson, Taghi M. Khoshgoftaar |
| 2021 | SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation. Tuan Nguyen, Phong Nguyen, Hanh Pham, Truong Bui, Tan Nguyen, Duc Luong |
| 2021 | SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal Diseases. Joonho Lee, Su Jeong Song |
| 2021 | Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery. Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen |
| 2021 | Self-Attention Mechanism in GANs for Molecule Generation. Sandeep Chinnareddy, Pranav Grandhi, Apurva Narayan |
| 2021 | Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks. Andreas Selmaier, Benjamin Lutz, Dominik Kißkalt, Simon Börnicke, Jens Fürst, Jörg Franke |
| 2021 | Semi-supervised Graph Instance Transformer for Mental Health Inference. Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba |
| 2021 | Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning. Kristina Kirsten, Bjarne Pfitzner, Lando Löper, Bert Arnrich |
| 2021 | Sentiment Analysis of StockTwits Using Transformer Models. Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar |
| 2021 | Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data. Ali Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi |
| 2021 | Shapelets-based Data Augmentation for Time Series Classification. Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2021 | Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack |
| 2021 | Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network. Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik |
| 2021 | Sketch2Vis: Generating Data Visualizations from Hand-drawn Sketches with Deep Learning. Zhongwei Teng, Quchen Fu, Jules White, Douglas C. Schmidt |
| 2021 | SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. Tegg Tae Kyong Sung, Bo Ryu |
| 2021 | Step Detection using SVM on NURVV Trackers. Didier Lopes, Grant Trewartha |
| 2021 | Super Resolution with Sparse Gradient-Guided Attention for Suppressing Structural Distortion. Geonhak Song, Tien-Dung Nguyen, Junghyun Bum, Hwijong Yi, Chang-Hwan Son, Hyunseung Choo |
| 2021 | SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications. Mehdi Mousavi, Rolando Estrada |
| 2021 | Surrogate Ground Truth Generation to Enhance Binary Fairness Evaluation in Uplift Modeling. Filip Michalský, Serdar Kadioglu |
| 2021 | Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval. Kazuya Ueki |
| 2021 | SwiftLane: Towards Fast and Efficient Lane Detection. Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara |
| 2021 | Temporal Bottleneck Attention for Video Recognition. Schubert R. Carvalho, Nicolas M. Bertagnolli, Tyler Folkman |
| 2021 | Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection. Aditya Singh, Anubhav Gupta, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora |
| 2021 | Text Mining Approach To Predict Non-Adherence. Yufan Wang, Mahsa Mohaghegh |
| 2021 | Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis. Wenjing Li, Randy C. Paffenroth, Michael T. Timko, Matthew P. Rando, Avery B. Brown, N. Aaron Deskins |
| 2021 | Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning. Jing Zhang, Chao Wang, Zezhou Li, Xianbo Zhang |
| 2021 | Time Series Data Augmentation using Time-Warped Auto-Encoders. Shain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2021 | Tiny Generative Image Compression for Bandwidth-Constrained Sensor Applications. Nikolai Körber, Andreas Siebert, Sascha Hauke, Daniel Mueller-Gritschneder |
| 2021 | TopKConv: Increased Adversarial Robustness Through Deeper Interpretability. Henry Eigen, Amir Sadovnik |
| 2021 | Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition Approach. A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Zahidul Islam, Nazmul Hasan, Fuad Rahman |
| 2021 | Towards Intelligent Reading through Multimodal and Contextualized Word LookUp. Swetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni, Ilmi Yoon |
| 2021 | Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. Mirantha Jayathilaka, Tingting Mu, Uli Sattler |
| 2021 | Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering |
| 2021 | Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. Abdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov |
| 2021 | Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian Population. Deepanshu Pandey, Pranav Khurana, Ashwin Misra |
| 2021 | Trade-offs in Metric Learning for Bearing Fault Diagnosis. Tyler Cody, Stephen C. Adams, Peter A. Beling |
| 2021 | Trajectory growth lower bounds for random sparse deep ReLU networks. Ilan Price, Jared Tanner |
| 2021 | Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting. Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir |
| 2021 | Transformer Based Bengali Chatbot Using General Knowledge Dataset. Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain |
| 2021 | Understanding Traffic Cruising Causation Via Parking Data Enhancement. Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad |
| 2021 | Universal Adversarial Attack on Deep Learning Based Prognostics. Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana |
| 2021 | Use of Embedding Spaces for Transferring Robot Skills in Diverse Sensor Settings. Kazushi Ninomiya, Masakazu Hirokawa, Kenji Suzuki |
| 2021 | Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. James Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos |
| 2021 | Vehicle Tracking with Crop-based Detection. Derek Gloudemans, Daniel B. Work |
| 2021 | Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection. Majid Shirazi, Markus Schmitz, Simon Janssen, Anabelle Thies, Georgij Safronov, Amr Rizk, Peter Mayr, Philipp Engelhardt |
| 2021 | Video Anomaly Detection Using Dual Discriminator Based Generative Adversarial Network. Jiaqi Xu, Zhenjiang Miao, Wanru Xu, Jiaji Wang, Qiang Zhang, Shaoyue Song |
| 2021 | Visual Question Answering based on Formal Logic. Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce |
| 2021 | Voting Heterogeneous Ensemble for Code Smell Detection. Hamoud Aljamaan |
| 2021 | Voxel-based Deep Learning for Image Super-resolution of Areal Density Maps of Carbon-nanotube Sheets. Yingnan Liu, Randy Clinton Paffenroth |