| 2020 | "Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. Vincent Vercruyssen, Wannes Meert, Jesse Davis |
| 2020 | A Graph-Based Approach for Active Learning in Regression. Hongjing Zhang, S. S. Ravi, Ian Davidson |
| 2020 | A Predictive Optimization Framework for Hierarchical Demand Matching. Naoto Ohsaka, Tomoya Sakai, Akihiro Yabe |
| 2020 | A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2020 | Adiabatic Quantum Computing for Max-Sum Diversification. Christian Bauckhage, Rafet Sifa, Stefan Wrobel |
| 2020 | An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. Guiliang Liu, Xu Li, Mingming Sun, Ping Li |
| 2020 | An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. Fattaneh Jabbari, Gregory F. Cooper |
| 2020 | Attention-Aware Answers of the Crowd. Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu |
| 2020 | Bayesian Modeling of Intersectional Fairness: The Variance of Bias. James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan |
| 2020 | BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He |
| 2020 | Content-Aware Successive Point-of-Interest Recommendation. Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang |
| 2020 | Convolutional Methods for Predictive Modeling of Geospatial Data. Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2020 | Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. Yuta Saito, Hayato Sakata, Kazuhide Nakata |
| 2020 | Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. Ruocheng Guo, Jundong Li, Huan Liu |
| 2020 | D Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil |
| 2020 | DANR: Discrepancy-aware Network Regularization. Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh |
| 2020 | Deep Adversarial Canonical Correlation Analysis. Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang |
| 2020 | Deep Kernel Learning for Clustering. Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy |
| 2020 | Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu |
| 2020 | Deep Multi-sphere Support Vector Data Description. Zahra Ghafoori, Christopher Leckie |
| 2020 | Deep Neural Networks with Knowledge Instillation. Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu |
| 2020 | Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed |
| 2020 | Deep Self-representative Concept Factorization Network for Representation Learning. Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang |
| 2020 | Detecting Media Self-Censorship without Explicit Training Data. Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy |
| 2020 | Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu |
| 2020 | Document Clustering Meets Topic Modeling with Word Embeddings. Gianni Costa, Riccardo Ortale |
| 2020 | Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDD. Hung-Yi Chou, Pin-Yen Lin, Chih-Jen Lin |
| 2020 | Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore |
| 2020 | Efficient and Effective Graph Convolution Networks. Siwu Liu, Ji Hwan Park, Shinjae Yoo |
| 2020 | Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2020 | Exploring the Unknown - Query Synthesis in One-Class Active Learning. Adrian Englhardt, Klemens Böhm |
| 2020 | Features or Shape? Tackling the False Dichotomy of Time Series Classification. Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh |
| 2020 | Filling Missing Values on Wearable-Sensory Time Series Data. Suwen Lin, Xian Wu, Gonzalo J. Martínez, Nitesh V. Chawla |
| 2020 | Finding the Sweet Spot: Batch Selection for One-Class Active Learning. Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm |
| 2020 | Fisher Deep Domain Adaptation. Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang |
| 2020 | GRIA: Graphical Regularization for Integrative Analysis. Changgee Chang, Jihwan Oh, Qi Long |
| 2020 | Global-and-Local Aware Data Generation for the Class Imbalance Problem. Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang |
| 2020 | HIDRA: Head Initialization across Dynamic targets for Robust Architectures. Rafael Rêgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme |
| 2020 | HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer |
| 2020 | Harmonic Alignment. Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy |
| 2020 | Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Charles H. Martin, Michael W. Mahoney |
| 2020 | Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee |
| 2020 | Heterogeneous Dual-Task Clustering with Visual-Textual Information. Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye |
| 2020 | Identifying Potential Investors with Data Driven Approaches. Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos |
| 2020 | Improved mixing time for Ryuta Matsuno, Aristides Gionis |
| 2020 | Knowledge guided diagnosis prediction via graph spatial-temporal network. Yang Li, Buyue Qian, Xianli Zhang, Hui Liu |
| 2020 | LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC. Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno |
| 2020 | Lag-Aware Multivariate Time-Series Segmentation. Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno |
| 2020 | Learning a Neural-network-based Representation for Open Set Recognition. Mehadi Hassen, Philip K. Chan |
| 2020 | Maximizing diversity over clustered data. Guangyi Zhang, Aristides Gionis |
| 2020 | Meta-Learning for Size and Fit Recommendation in Fashion. Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany |
| 2020 | Multiplex Memory Network for Collaborative Filtering. Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi |
| 2020 | On Supervised Change Detection in Graph Streams. Charu C. Aggarwal, Yao Li, Philip S. Yu |
| 2020 | On the Information Unfairness of Social Networks. Zeinab S. Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan |
| 2020 | Optimal Bidding Strategy without Exploration in Real-time Bidding. Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan |
| 2020 | Pattern detection in large temporal graphs using algebraic fingerprints. Suhas Thejaswi, Aristides Gionis |
| 2020 | PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2020 | Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne |
| 2020 | Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020. Carlotta Demeniconi, Nitesh V. Chawla |
| 2020 | Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou |
| 2020 | Representation Learning for Imbalanced Cross-Domain Classification. Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu |
| 2020 | Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan |
| 2020 | SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets. Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis |
| 2020 | SSNN: Sentiment Shift Neural Network. Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2020 | Second-order Optimization for Non-convex Machine Learning: an Empirical Study. Peng Xu, Fred Roosta, Michael W. Mahoney |
| 2020 | Semantic Discord: Finding Unusual Local Patterns for Time Series. Li Zhang, Yifeng Gao, Jessica Lin |
| 2020 | Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar |
| 2020 | Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. Hengrui Zhang, Julian J. McAuley |
| 2020 | Temporal Graph Kernels for Classifying Dissemination Processes. Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel |
| 2020 | Two-Sample Testing for Event Impacts in Time Series. Erik Scharwächter, Emmanuel Müller |
| 2020 | Two-variable Dual Coordinate Descent Methods for Linear SVM with/without the Bias Term. Chi-Cheng Chiu, Pin-Yen Lin, Chih-Jen Lin |
| 2020 | Vertex-reinforced Random Walk for Network Embedding. Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song |
| 2020 | Well-calibrated and specialized probability estimation trees. Ulf Johansson, Tuwe Löfström |
| 2020 | What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis. Rong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo |