| 2020 | Revenue Maximization using Multitask Learning for Promotion Recommendation. | Venkataramana B. Kini, Ashwin Manjunatha |
| 2020 | Precipitation Nowcasting Using Grid-based Data in South Korea Region. | ChangHwan Kim, Se-Young Yun |
| 2020 | Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. | Minyoung Kim, Vladimir Pavlovic |
| 2020 | User Authentication Method using FIDO based Password Management for Smart Energy Environment. | Hyunjin Kim, Dongseop Lee, Jaecheol Ryou |
| 2020 | Electric Energy Demand Forecasting with Explainable Time-series Modeling. | Jin-Young Kim, Sung-Bae Cho |
| 2020 | Boosting Algorithms for Delivery Time Prediction in Transportation Logistics. | Jihed Khiari, Cristina Olaverri-Monreal |
| 2020 | You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. | Daniyal Kazempour, Long Mathias Yan, Peer Krger, Thomas Seidl |
| 2020 | Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. | Daniyal Kazempour, Peer Krger, Thomas Seidl |
| 2020 | I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. | Daniyal Kazempour, Anna Beer, Peer Krger, Thomas Seidl |
| 2020 | Dynamic Similarity Search on Integer Sketches. | Shunsuke Kanda, Yasuo Tabei |
| 2020 | MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. | Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy |
| 2020 | Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. | Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang |
| 2020 | Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. | Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu |
| 2020 | BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. | Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin |
| 2020 | Individualized Context-Aware Tensor Factorization for Online Games Predictions. | Julie Jiang, Kristina Lerman, Emilio Ferrara |
| 2020 | CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation. | Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung |
| 2020 | Interest Sustainability-Aware Recommender System. | Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu |
| 2020 | Metric-Free Individual Fairness with Cooperative Contextual Bandits. | Qian Hu, Huzefa Rangwala |
| 2020 | Soft policy optimization using dual-track advantage estimator. | Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang |
| 2020 | Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. | Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Zhenni Li, Weijun Sun |
| 2020 | Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. | Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. | Jurgen O. D. van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller |
| 2020 | A Tree-based Fuzzy Average-Utility Mining Algorithm. | Tzung-Pei Hong, Meng-Ping Ku, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin |
| 2020 | The Phantom Steering Effect in Q&A Websites. | Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal |
| 2020 | A Short-Term Cryptocurrency Price Movement Prediction Using Centrality Measures. | Kin-Hon Ho, Wai-Han Chiu, Chin Li |