| 2019 | A Bayesian Approach for Accurate Classification-Based Aggregates. Q. A. Meertens, C. G. H. Diks, H. Jaap van den Herik, Frank W. Takes |
| 2019 | A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han |
| 2019 | A Fast Algorithm for Combinatorial Hotspot Mining Based on Spatial Scan Statistic. Shin-ichi Minato, Jun Kawahara, Fumio Ishioka, Masahiro Mizuta, Koji Kurihara |
| 2019 | A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. Belén Saldías-Fuentes, Pavlos Protopapas, Karim Pichara B. |
| 2019 | A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. Yiqun Xie, Shashi Shekhar |
| 2019 | A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification. Yakun Wang, Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner, Sen Su, Zhongbao Zhang |
| 2019 | ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation. Wenyu Zhang, Daniel E. Gilbert, David S. Matteson |
| 2019 | AMAS: Attention Model for Attributed Sequence Classification. Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner |
| 2019 | Accelerated Experimental Design for Pairwise Comparisons. Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2019 | An Interpretable Fast Model for Predicting The Risk of Heart Failure. Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng |
| 2019 | Aspect-Based Sentiment Analysis with Minimal Guidance. Honglei Zhuang, Timothy P. Hanratty, Jiawei Har |
| 2019 | Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu |
| 2019 | Augmented Multi-Task Learning by Optimal Transport. Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2019 | Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. Chandrashekhar Lavania, Jeff A. Bilmes |
| 2019 | Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. Andri Ashfahani, Mahardhika Pratama |
| 2019 | Boolean matrix factorization meets consecutive ones property. Nikolaj Tatti, Pauli Miettinen |
| 2019 | Branch and Border: Partition-Based Change Detection in Multivariate Time Series. Bryan Hooi, Christos Faloutsos |
| 2019 | Bus Travel Speed Prediction using Attention Network of Heterogeneous Correlation Features. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Shicheng Chen, Peilan He |
| 2019 | CP Tensor Decomposition with Cannot-Link Intermode Constraints. Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho |
| 2019 | Calibrating Probability Estimation Trees using Venn-Abers Predictors. Ulf Johansson, Tuwe Löfström, Henrik Boström |
| 2019 | Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar |
| 2019 | Collaborative Filtering with Noisy Ratings. Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu |
| 2019 | Constraint Programming for Association Rules. Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar |
| 2019 | Coupled Clustering of Time-Series and Networks. Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra |
| 2019 | DSL: Discriminative Subgraph Learning via Sparse Self-Representation. Lin Zhang, Petko Bogdanov |
| 2019 | DTEC: Distance Transformation Based Early Time Series Classification. Liuyi Yao, Yaliang Li, YeZheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | Decision List Optimization based on Continuous Relaxation. Yuzuru Okajima, Kunihiko Sadamasa |
| 2019 | Deep Anomaly Detection on Attributed Networks. Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu |
| 2019 | Deep Co-Clustering. Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2019 | Deep Multi-view Information Bottleneck. Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou |
| 2019 | Deep Multimodality Model for Multi-task Multi-view Learning. Lecheng Zheng, Yu Cheng, Jingrui He |
| 2019 | Deep Skip-Gram Networks for Text Classification. Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li |
| 2019 | Deep Transfer Reinforcement Learning for Text Summarization. Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy |
| 2019 | Discovering Multiple Co-Clusterings in Subspaces. Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo |
| 2019 | Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation. Virgile Landeiro, Tuan Tran, Aron Culotta |
| 2019 | Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo |
| 2019 | Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. Yuta Saito, Hayato Sakata, Kazuhide Nakata |
| 2019 | Edge Replacement Grammars : A Formal Language Approach for Generating Graphs. Revanth Reddy, Sarath Chandar, Balaraman Ravindran |
| 2019 | Efficient Summarizing of Evolving Events from Twitter Streams. Thi-Huyen Nguyen, Tuan-Anh Hoang, Wolfgang Nejdl |
| 2019 | Elastic bands across the path: A new framework and method to lower bound DTW. Chang Wei Tan, François Petitjean, Geoffrey I. Webb |
| 2019 | EstImAgg: A Learning Framework for Groupwise Aggregated Data. Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan |
| 2019 | Fairness in representation: quantifying stereotyping as a representational harm. Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian |
| 2019 | Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander |
| 2019 | Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou |
| 2019 | Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. Aurélien Pélissier, Atsuyoshi Nakamura, Koji Tabata |
| 2019 | Find the dimension that counts: Fast dimension estimation and Krylov PCA. Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad |
| 2019 | Flow-Based Local Graph Clustering with Better Seed Set Inclusion. Nate Veldt, Christine Klymko, David F. Gleich |
| 2019 | Forest Packing: Fast Parallel, Decision Forests. James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns |
| 2019 | GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems. Sudhir B. Kylasa, Fred (Farbod) Roosta, Michael W. Mahoney, Ananth Grama |
| 2019 | GeoAttn: Localization of Social Media Messages via Attentional Memory Network. Sha Li, Chao Zhang, Dongming Lei, Ji Li, Jiawei Han |
| 2019 | Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2019 | Identifying When Effect Restoration Will Improve Estimates of Causal Effect. Hüseyin Oktay, Akanksha Atrey, David D. Jensen |
| 2019 | Incomplete Conditional Density Estimation for Fast Materials Discovery. Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh |
| 2019 | Incremental Multi-view Support Vector Machine. Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye |
| 2019 | Intrinsic Dimensionality Estimation within Tight Localities. Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru |
| 2019 | Joint Post and Link-level Influence Modeling on Social Media. Liangzhe Chen, B. Aditya Prakash |
| 2019 | LSCP: Locally Selective Combination in Parallel Outlier Ensembles. Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li |
| 2019 | Learning Diverse Gaussian Graphical Models and Interpreting Edges. Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza |
| 2019 | Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. Hemank Lamba, Leman Akoglu |
| 2019 | Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic |
| 2019 | Linear Time Motif Discovery in Time Series. Xiaosheng Li, Jessica Lin |
| 2019 | MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. Li Lin, Lijie Wen, Jianmin Wang |
| 2019 | Mining Maximal Induced Bicliques using Odd Cycle Transversals. Kyle Kloster, Blair D. Sullivan, Andrew van der Poel |
| 2019 | Mining Rules Incrementally over Large Knowledge Bases. Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang |
| 2019 | Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. Francesca Arrigo, Francesco Tudisco |
| 2019 | Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation. Lei Cai, Hongyang Gao, Shuiwang Ji |
| 2019 | Multi-dimensional Graph Convolutional Networks. Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang |
| 2019 | Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. Bastian Bohn, Michael Griebel, Jens Oettershagen |
| 2019 | Path-based Attribute-aware Representation Learning for Relation Prediction. Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang |
| 2019 | Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar |
| 2019 | Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error. Nontawat Charoenphakdee, Masashi Sugiyama |
| 2019 | Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang |
| 2019 | Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019. Tanya Y. Berger-Wolf, Nitesh V. Chawla |
| 2019 | Query-Aware Bayesian Committee Machine for Scalable Gaussian Process Regression. Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao |
| 2019 | Reading Customer Reviews to Answer Product-related Questions. Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang |
| 2019 | Recommendations for optimizing the collective user experience. Behzad Golshan, Evimaria Terzi, Panayiotis Tsaparas |
| 2019 | Region-Based Active Learning with Hierarchical and Adaptive Region Construction. Zhipeng Luo, Milos Hauskrecht |
| 2019 | Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. Carl Yang, Kevin Chang |
| 2019 | Relative distance comparisons with confidence judgements. Stefan Mojsilovic, Antti Ukkonen |
| 2019 | Robust Factorization Machine: A Doubly Capped Norms Minimization. Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2019 | SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos |
| 2019 | SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction. Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He |
| 2019 | Semantics-Aware Hidden Markov Model for Human Mobility. Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng |
| 2019 | Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar |
| 2019 | Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. Zhengyang Wang, Hao Yuan, Shuiwang Ji |
| 2019 | Spherical Principal Component Analysis. Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang |
| 2019 | TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. Dingcheng Li, Jingyuan Zhang, Ping Li |
| 2019 | Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic |
| 2019 | Towards Identifying Causal Relation Between Instances and Labels. Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou |
| 2019 | We Are Not Your Real Parents: Telling Causal from Confounded using MDL. David Kaltenpoth, Jilles Vreeken |