| 2019 | Multi-graph Convolution Collaborative Filtering. | Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He |
| 2019 | ICDM 2019 Knowledge Graph Contest: Team UWA. | Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu |
| 2019 | SeAlM: A Query Cache Optimization Technique for Next Generation Sequence Alignment. | Evan Stene, Farnoush Banaei Kashani |
| 2019 | Climate Data Analytics Applied to Sugar Cane Crop in the French West Indies. | Erick Stattner, Nathan Jadoul |
| 2019 | Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China. | Kuan Song, Xiaochen Yu, Zhu Gu, Wenpeng Zhang, Guowei Yang, Qixun Wang, Chunmeng Xu, Jianzhong Liu, Wenjun Liu, Chen Shi, Ying Wang, Gong Zhang |
| 2019 | MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations. | Hajung Sohn, Hyunju Lee |
| 2019 | Modeling Graphs with Vertex Replacement Grammars. | Satyaki Sikdar, Justus Hibshman, Tim Weninger |
| 2019 | Reinforced Molecule Generation with Heterogeneous States. | Fangzhou Shi, Shan You, Chang Xu |
| 2019 | Learning to Sample: An Active Learning Framework. | Jingyu Shao, Qing Wang, Fangbing Liu |
| 2019 | Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. | Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu |
| 2019 | Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. | Sanket Shah, Sunayana Sitaram |
| 2019 | Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation. | Masahiro Sato, Shin Kawai, Hajime Nobuhara |
| 2019 | Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. | Saket Sathe, Charu C. Aggarwal |
| 2019 | Utility Evaluation Measures for Categorical Data by Classification Performance. | Natsuki Sano, Yuta Hattori |
| 2019 | Extraction of Volitional Utterances from Japanese Local Political Corpus. | Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima |
| 2019 | Discovering Periodic Patterns in Irregular Time Series. | C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy |
| 2019 | Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. | Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bck, Xin Yao, Zhao Xu, Patricia Wollstadt |
| 2019 | Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. | Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Mller, Danai Koutra |
| 2019 | Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis. | Saad Sadiq, Micheal Castellanos, Jacquelyn Moffitt, Mei-Ling Shyu, Lynn Perry, Daniel S. Messinger |
| 2019 | Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors. | Noureddin Sadawi, Alina Dana Miron, Waidah Ismail, Hafez Hussain, Crina Grosan |
| 2019 | Topological Data Analysis for Portfolio Management of Cryptocurrencies. | Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev |
| 2019 | On Privacy of Socially Contagious Attributes. | Aria Rezaei, Jie Gao |
| 2019 | Dual Adversarial Learning Based Network Alignment. | Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang |
| 2019 | Native Language Identification for Russian. | Nikita Remnev |
| 2019 | An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction. | Farid Razzak, Fei Yi, Yang Yang, Hui Xiong |