| 2019 | Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks. | Anahita Hosseini, Tyler Davis, Majid Sarrafzadeh |
| 2019 | Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. | Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin |
| 2019 | Multi-aspect Mining of Complex Sensor Sequences. | Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai |
| 2019 | Inferred Social Networks: A Case Study. | Irena Holubov, Martin Svoboda, David Bernhauer, Toms Skopal, Petr Pascenko |
| 2019 | Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. | John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye |
| 2019 | Clinical Pathway Generation from Order Histories and Discharge Summaries. | Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto |
| 2019 | Diversity-Aware Recommendation by User Interest Domain Coverage Maximization. | Yifan He, Haitao Zou, Hualong Yu, Qi Wang, Shang Gao |
| 2019 | Predicting Travel Time of Bus Journeys with Alternative Bus Services. | Peilan He, Yidan Sun, Guiyuan Jiang, Siew-Kei Lam |
| 2019 | Predictive Models for Early Detection of Hoax Spread in Twitter. | Didier Henry, Erick Stattner |
| 2019 | Climate Change Perception in Scientific and Public Sphere. | Didier Henry, Nathan Jadoul, Reynald Eugnie, Erick Stattner |
| 2019 | Distribution of Node Embeddings as Multiresolution Features for Graphs. | Mark Heimann, Tara Safavi, Danai Koutra |
| 2019 | Deep Minimax Probability Machine. | Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu |
| 2019 | Discriminatively Relabel for Partial Multi-label Learning. | Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu |
| 2019 | Interpretable Feature Learning of Graphs using Tensor Decomposition. | Shah Muhammad Hamdi, Rafal A. Angryk |
| 2019 | Improving Disentangled Representation Learning with the Beta Bernoulli Process. | Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horcek, John L. Sapp, Linwei Wang |
| 2019 | Efficient Data Representation by Selecting Prototypes with Importance Weights. | Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal |
| 2019 | A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning. | Pengzhan Guo, Zeyang Ye, Keli Xiao |
| 2019 | Mining Logic Patterns from Visual Data. | Qian Guo, Yuhua Qian, Xinyan Liang |
| 2019 | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | Citation Recommendation with a Content-Sensitive DeepWalk Based Approach. | Lantian Guo, Xiaoyan Cai, Haohua Qin, Yangming Guo, Fei Li, Gang Tian |
| 2019 | Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. | Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao |
| 2019 | Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. | Bjrn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt |
| 2019 | Understanding the Role of Social Media in Backpacker Tourism. | Claudia Guerreiro, Erik Cambria, Hien T. Nguyen |
| 2019 | Fair Adversarial Gradient Tree Boosting. | Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki |
| 2019 | Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation. | Masaharu Goto, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara |