| 2020 | Accelerated SGD for Tensor Decomposition of Sparse Count Data. | Huan He, Yuanzhe Xi, Joyce C. Ho |
| 2020 | Stock Price Prediction by Using Hybrid Sequential Generative Adversarial Networks. | Bate He, Eisuke Kita |
| 2020 | Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter. | Maryam Heidari, James H. Jones, zlem Uzuner |
| 2020 | STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. | Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu |
| 2020 | Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. | Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang |
| 2020 | Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. | Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song |
| 2020 | Data-Agnostic Local Neighborhood Generation. | Riccardo Guidotti, Anna Monreale |
| 2020 | A Heterogeneous Spatiotemporal Network for Lightning Prediction. | Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang |
| 2020 | Detecting Hierarchical Changes in Latent Variable Models. | Shintaro Fukushima, Kenji Yamanishi |
| 2020 | An Interpretable Data Embedding under Uncertain Distance Information. | Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian |
| 2020 | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2020 | Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading. | Jacopo Fior, Luca Cagliero |
| 2020 | The IEEE ICDM 2020 Workshops. | Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea |
| 2020 | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. | Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao |
| 2020 | Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning. | Xinyu Fan, Hui Xu, Jiahong Wu, Chao Tong, Kai Wang, Jianfei Song, Ze Huang |
| 2020 | AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu |
| 2020 | Online Bayesian Sparse Learning with Spike and Slab Priors. | Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville |
| 2020 | MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. | Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2020 | AANE: Anomaly Aware Network Embedding For Anomalous Link Detection. | Dongsheng Duan, Lingling Tong, Yangxi Li, Jie Lu, Lei Shi, Cheng Zhang |
| 2020 | Helping users discover perspectives: Enhancing opinion mining with joint topic models. | Tim Draws, Jody Liu, Nava Tintarev |
| 2020 | Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. | Katharina Dost, Katerina Taskova, Patricia Riddle, Jrg Wicker |
| 2020 | Modeling Personalized Out-of-Town Distances in Location Recommendation. | Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2020 | Classifier Invariant Approach to Learn from Positive-Unlabeled Data. | Amit Dhurandhar, Karthik S. Gurumoorthy |
| 2020 | An Examination of the State-of-the-Art for Multivariate Time Series Classification. | Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim |
| 2020 | Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. | Benjamin Denham, Russel Pears, Muhammad Asif Naeem |