| 2019 | Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm. | Ryoya Yamasaki, Toshiyuki Tanaka |
| 2019 | State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event Processing. | Piyush Yadav, Dibya Prakash Das, Edward Curry |
| 2019 | Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks. | Meiyan Xie, Yunzhe Xue, Usman Roshan |
| 2019 | Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. | Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan |
| 2019 | When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. | Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty |
| 2019 | A Hybrid Collaborative Filtering Model Using Customer Search Keyword Data for Product Recommendation. | Ha-Ram Won, Yunju Lee, Jae-Seung Shim, Hyunchul Ahn |
| 2019 | Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. | Felix Wick, Ulrich Kerzel, Michael Feindt |
| 2019 | A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. | Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo |
| 2019 | SVM-Based Segmentation of Home Appliance Energy Measurements. | Marc Wenninger, Dominik Stecher, Jochen Schmidt |
| 2019 | Deep Learning with Domain Randomization for Optimal Filtering. | Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski |
| 2019 | Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses. | Jingjing Wang, Fei Song, Kavita Walia, Jeffery Farber, Rozita A. Dara |
| 2019 | Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. | Xian Wang, Lingqiao Liu, Qinfeng Shi |
| 2019 | A Study on Software Metric Selection for Software Fault Prediction. | Huanjing Wang, Taghi M. Khoshgoftaar |
| 2019 | Evaluation of Event Impact on Key Performance Indicators. | Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng |
| 2019 | Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning. | Jia Wang, Jiannong Cao, Milos Stojmenovic, Miao Zhao, Jinlin Chen, Shan Jiang |
| 2019 | Data Integrity of Industrial Controllers via Multi-resolution Hierarchical Time Series Clustering. | Andrew Walker, Joydeep Acharya |
| 2019 | Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities. | Scott Wahl, John Sheppard, Elizabeth Shanahan |
| 2019 | Online EM Monitoring of 802.11n Networks using Self Adaptive Kernel Machine. | Jonathan Villain, Anthony Fleury, Virginie Deniau, Christophe Gransart, Eric Pierre Simon |
| 2019 | Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. | Marnick Vanloffelt, Gonzalo Npoles, Koen Vanhoof |
| 2019 | Machine Learning of the Ultrasound Signal Travel Path Effect in Estimating the Residual Life of the US Army Vehicles. | Ramakrishna Valisetty |
| 2019 | Hypergraph Link Prediction: Learning Drug Interaction Networks Embeddings. | Maria Vaida, Kevin Purcell |
| 2019 | Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces. | Ryuichi Ueno, Robert M. Bryce, Dragos Calitoiu |
| 2019 | Deep Neural Network Compression for Image Classification and Object Detection. | Georgios Tzelepis, Ahraz Asif, Saimir Baci, Selcuk Cavdar, Eren Erdal Aksoy |
| 2019 | Adaptive Partitioning for Template Functions on Persistence Diagrams. | Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh |
| 2019 | An Intrusion Detection System for Multi-class Classification Based on Deep Neural Networks. | Petros Toupas, Dimitra Chamou, Konstantinos M. Giannoutakis, Anastasios Drosou, Dimitrios Tzovaras |