| 2021 | Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. | Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia |
| 2021 | Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. | Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao |
| 2021 | Generating Explanations for Recommendation Systems via Injective VAE. | Zerui Cai |
| 2021 | A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. | Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang |
| 2021 | K-means for Evolving Data Streams. | Arkaitz Bidaurrazaga, Aritz Prez, Marco Cap |
| 2021 | LOGIC: Probabilistic Machine Learning for Time Series Classification. | Fabian Berns, Jan David Hwel, Christian Beecks |
| 2021 | Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. | Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein |
| 2021 | Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. | Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson |
| 2021 | DIVINIA: Rare Object Localization and Search in Overhead Imagery. | Jonathan Amazon, Khurram Shafique, Zeeshan Rasheed, Aaron Reite |
| 2021 | TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting. | Muhammad Afif Ali, Suriya Venkatesan, Victor C. Liang, Hannes Kruppa |
| 2021 | Gated Information Bottleneck for Generalization in Sequential Environments. | Francesco Alesiani, Shujian Yu, Xi Yu |
| 2021 | PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. | Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim |
| 2021 | Impression Allocation and Policy Search in Display Advertising. | Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee |
| 2021 | Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. | Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu |
| 2021 | Global Convolutional Neural Processes. | Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang |
| 2021 | Fair Decision-making Under Uncertainty. | Wenbin Zhang, Jeremy C. Weiss |
| 2021 | Finding Age Path of Self-Paced Learning. | Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2021 | Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. | Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu |
| 2020 | Fast Incremental Nave Bayes with Kalman Filtering. | Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet |
| 2020 | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. | Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu |
| 2020 | Online AUC Optimization for Sparse High-Dimensional Datasets. | Baojian Zhou, Yiming Ying, Steven Skiena |
| 2020 | FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction. | Xian Zhou, Yanyan Shen, Linpeng Huang |
| 2020 | A Two-Stream Network For Driving Hand Gesture Recognition. | Yefan Zhou, Zhao Lv, Chaoqun Wang, Shengli Zhang |
| 2020 | FilCorr: Filtered and Lagged Correlation on Streaming Time Series. | Sheng Zhong, Vincius M. A. de Souza, Abdullah Mueen |
| 2020 | DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. | Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |