| 2020 | Deep Multi Agent Reinforcement Learning for Autonomous Driving. | Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley |
| 2020 | Attending Knowledge Facts with BERT-like Models in Question-Answering: Disappointing Results and Some Explanations. | Guillaume Le Berre, Philippe Langlais |
| 2020 | Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. | Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn |
| 2020 | The K-Closest Resemblance Classifier for Remote Sensing Data. | Nabil Belacel, Cheng Duan, Diana Inkpen |
| 2020 | Personalized Student Attribute Inference. | Khalid Moustapha Askia, Marie-Jean Meurs |
| 2020 | Selection Driven Query Focused Abstractive Document Summarization. | Chudamani Aryal, Yllias Chali |
| 2020 | Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity. | Valery Anisimovskiy, Andrey Shcherbinin, Sergey Turko, Ilya Kurilin |
| 2020 | Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer. | Mahtab Ahmed, Robert E. Mercer |
| 2020 | A Deep Neural Network for Counting Vessels in Sonar Signals. | Hamed H. Aghdam, Martin Bouchard, Robert Laganire, Emil M. Petriu, Philip Wort |
| 2020 | Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. | Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang |
| 2020 | Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. | Mahdieh Abbasi, Arezoo Rajabi, Christian Gagn, Rakesh B. Bobba |
| 2019 | Categorizing Emails Using Machine Learning with Textual Features. | Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov |
| 2019 | 3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. | Rongtian Ye, Fangyu Liu, Liqiang Zhang |
| 2019 | Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. | Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng |
| 2019 | Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study. | Francesco Usai, Thomas Trappenberg |
| 2019 | Towards a Novel Data Representation for Classifying Acoustic Signals. | Mark Thomas |
| 2019 | Detecting Depression from Voice. | Mashrura Tasnim, Eleni Stroulia |
| 2019 | Learning Career Progression by Mining Social Media Profiles. | Zakaria Soliman, Philippe Langlais, Ludovic Bourg |
| 2019 | A Shallow Learning - Reduced Data Approach for Image Classification. | Kaleb E. Smith, Phillip Williams |
| 2019 | Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions. | David B. Skillicorn, Nasser Alsadhan, Richard Billingsley, Mary-Anne Williams |
| 2019 | In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning. | Daniel L. Silver, Tanya Monga |
| 2019 | Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data. | Rayhan Shikder, Pourang Irani, Pingzhao Hu |
| 2019 | A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks. | Kalyani Selvarajah |
| 2019 | Optimized Random Walk with Restart for Recommendation Systems. | Seyyed Mohammadreza Rahimi, Rodrigo Augusto de Oliveira e Silva, Behrouz Homayoun Far, Xin Wang |
| 2019 | Personality Extraction Through LinkedIn. | Frdric Piedboeuf, Philippe Langlais, Ludovic Bourg |