| 2019 | Path Homologies of Deep Feedforward Networks. | Samir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin |
| 2019 | A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging. | Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta |
| 2019 | Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. | Siteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek |
| 2019 | Naive Bayes with Correlation Factor for Text Classification Problem. | Jiangning Chen, Zhibo Dai, Juntao Duan, Heinrich Matzinger, Ionel Popescu |
| 2019 | Predictive Models with Resampling: A Comparative Study of Machine Learning Algorithms and their Performances on Handling Imbalanced Datasets. | Adithi D. Chakravarthy, Sindhura Bonthu, Zhengxin Chen, Qiuming Zhu |
| 2019 | Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment. | Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart |
| 2019 | Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains. | Akshay Chadha, Rozita Dara, Zvonimir Poljak |
| 2019 | Advanced Decision Making and Interpretability through Neural Shrubs. | Kyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha |
| 2019 | An Unsupervised Framework for Anomaly Detection in a Water Treatment System. | Mayra Alexandra Macas Carrasco, Chunming Wu |
| 2019 | Discovering Programmer Intention Behind Written Source Code. | Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli |
| 2019 | Anyone here? Smart Embedded Low-Resolution Omnidirectional Video Sensor to Measure Room Occupancy. | Timothy Callemein, Kristof Van Beeck, Toon Goedem |
| 2019 | An Auto Regressive Deep Learning Model for Sales Tax Forecasting from Multiple Short Time Series. | Elham Khorasani Buxton, Kenneth Kriz, Matthew Cremeens, Kim Jay |
| 2019 | Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. | Nadia Burkart, Marco F. Huber, Phillip Faller |
| 2019 | Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. | Lennart Brocki, Neo Christopher Chung |
| 2019 | Using Machine Learning to Improve Surgical Outcomes. | Sindhura Bonthu, Priscila Rodrigues Armijo, Tiffany Tanner, Qiuming Zhu |
| 2019 | Power Flow Approximation Based on Graph Convolutional Networks. | Valentin Bolz, Johannes Rue, Andreas Zell |
| 2019 | Collapse Resistant Deep Convolutional GAN for Multi-object Image Generation. | Elijah Bolluyt, Cristina Comaniciu |
| 2019 | Generating Near and Far Analogies for Educational Applications: Progress and Challenges. | Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato |
| 2019 | On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. | Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akay, Jack W. Barker, Toby P. Breckon |
| 2019 | Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel |
| 2019 | Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. | Parminder Bhatia, Kristjan Arumae, Busra Celikkaya |
| 2019 | Encoding in Neural Networks. | Sunil Bharitkar |
| 2019 | Generative Feature Models and Robustness Analysis for Multimedia Content Classification. | Sunil Bharitkar |
| 2019 | Active Learning to Improve Static Analysis. | Maxwell Berman, Stephen C. Adams, Tim Sherburne, Cody H. Fleming, Peter A. Beling |
| 2019 | Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. | Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula |