| 2019 | Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning. | Wenhui Huang, Francesco Braghin, Zhuo Wang |
| 2019 | High-Speed Rail Operating Environment Recognition Based on Neural Network and Adversarial Training. | Xiaoxue Hou, Jie An, Miaomiao Zhang, Bowen Du, Jing Liu |
| 2019 | Internet of Things Security Analytics and Solutions with Deep Learning. | Luke Holbrook, Miltiadis Alamaniotis |
| 2019 | Manifold Regularized Stochastic Block Model. | Tiantian He, Lu Bai, Yew-Soon Ong |
| 2019 | Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. | Gabriel Hartmann, Zvi Shiller, Amos Azaria |
| 2019 | Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning. | Xiuzhao Hao, Zhihao Wu, Haiguang Zhou, Xiangpeng Bai, Youfang Lin, Sheng Han |
| 2019 | Text Style Transfer Using Partly-Shared Decoder. | Gil Halevi, Kahini Wadhawan |
| 2019 | Improving Bandit-Based Recommendations with Spatial Context Reasoning: An Online Evaluation. | Nicolas Gutowski, Olivier Camp, Fabien Chhel, Tassadit Amghar, Patrick Albers |
| 2019 | Gorthaur: A Portfolio Approach for Dynamic Selection of Multi-Armed Bandit Algorithms for Recommendation. | Nicolas Gutowski, Tassadit Amghar, Olivier Camp, Fabien Chhel |
| 2019 | Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. | Amrita Gupta, Bistra Dilkina |
| 2019 | Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis. | Peng Guo, Junwei Zhang, Yuexian Hou, Xiujun Gong, Panpan Wang, Yazhou Zhang |
| 2019 | Improving Irregular Text Recognition by Integrating Gabor Convolutional Network. | Zhaohong Guo, Hui Xu, Feng Lu, Qiufeng Wang, Xiangdong Zhou, Yu Shi |
| 2019 | Agnostic Local Explanation for Time Series Classification. | Mal Guillem, Vronique Masson, Laurence Roz, Alexandre Termier |
| 2019 | Self-Organizing Traffic Based on Dynamic Platoon Configuration. | Maxime Guriau |
| 2019 | Constrained State-Preserved Extreme Learning Machine. | Garrett Goodman, Cogan Shimizu, Iosif Papadakis Ktistakis |
| 2019 | Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network. | Abenezer Girma, Xuyang Yan, Abdollah Homaifar |
| 2019 | Optimizing Value of Information Over an Infinite Time Horizon. | Sarthak Ghosh, C. R. Ramakrishnan |
| 2019 | Optimizing Training using Information Theory-Based Curriculum Learning Factory. | Henok Ghebrechristos, Gita Alaghband |
| 2019 | Metric Learning from Imbalanced Data. | Lo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban |
| 2019 | X-ray Image Enhancement: A Technique Combination Approach. | Afonso Ueslei Da Fonseca, Fabrzzio Alphonsus A. M. N. Soares, Leandro L. Oliveira, Mariana S. Ramada, Rogerio Salvini, Deborah S. A. Fernandes, Cristiane Bastos Rocha Ferreira, William D. Ferreira |
| 2019 | Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. | Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri |
| 2019 | An Automatic Method for Identifying Huntington's Disease using Gait Dynamics. | Juliana Paula Felix, Flvio Henrique Teles Vieira, Gabriel da Silva Vieira, Ricardo Augusto Pereira Franco, Ronaldo Martins da Costa, Rogerio Lopes Salvini |
| 2019 | Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. | Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos |
| 2019 | Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. | Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design. | Mokhtar Essaid, Mathieu Brvilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean |