| 2018 | A Family of Tractable Graph Distances. José Bento, Stratis Ioannidis |
| 2018 | A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas |
| 2018 | A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks. Tushar Semwal, Promod Yenigalla, Gaurav Mathur, Shivashankar B. Nair |
| 2018 | A Probabilistic Hough Transform for Opportunistic Crowd-sensing of Moving Traffic Obstacles. Michiaki Tatsubori, Aisha Walcott-Bryant, Reginald E. Bryant, John Wamburu |
| 2018 | A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis. Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki |
| 2018 | A Salient Ensemble of Trees using Cascaded Linear Classifiers with Feature-Cost Constraints. Chien-Wen Huang, Chung-Kuang Chou, Ming-Syan Chen |
| 2018 | ALE: Additive Latent Effect Models for Grade Prediction. Zhiyun Ren, Xia Ning, Huzefa Rangwala |
| 2018 | Accelerating Time Series Searching with Large Uniform Scaling. Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin |
| 2018 | An LSTM Approach to Patent Classification based on Fixed Hierarchy Vectors. Marawan Shalaby, Jan Stutzki, Matthias Schubert, Stephan Günnemann |
| 2018 | AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han |
| 2018 | Avoidance Region Discovery: A Summary of Results. Emre Eftelioglu, Xun Tang, Shashi Shekhar |
| 2018 | Black-box Expectation Propagation for Bayesian Models. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang |
| 2018 | Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification. Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui |
| 2018 | Causal Inference on Event Sequences. Kailash Budhathoki, Jilles Vreeken |
| 2018 | Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar |
| 2018 | Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin |
| 2018 | Co-regularized Monotone Retargeting for Semi-supervised LeTOR. Shalmali Joshi, Rajiv Khanna, Joydeep Ghosh |
| 2018 | Deep Attention Model for Triage of Emergency Department Patients. Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic |
| 2018 | Dense Neighborhood Pattern Sampling in Numerical Data. Arnaud Giacometti, Arnaud Soulet |
| 2018 | Discovering Hidden Topical Hubs and Authorities in Online Social Networks. Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim |
| 2018 | Discriminative Prototype Set Learning for Nearest Neighbor Classification. Shin Ando |
| 2018 | EEG-based Motion Intention Recognition via Multi-task RNNs. Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li |
| 2018 | Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb |
| 2018 | Efficient search of the best warping window for Dynamic Time Warping. Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean |
| 2018 | Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal |
| 2018 | Evolving Separating References for Time Series Classification. Xiaosheng Li, Jessica Lin |
| 2018 | Exact Mean Computation in Dynamic Time Warping Spaces. Markus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz |
| 2018 | Exploiting Structure for Fast Kernel Learning. Trefor W. Evans, Prasanth B. Nair |
| 2018 | Fast Flow-based Random Walk with Restart in a Multi-query Setting. Yujun Yan, Mark Heimann, Di Jin, Danai Koutra |
| 2018 | Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf |
| 2018 | Front Matter. |
| 2018 | Global Nonlinear Metric Learning by Gluing Local Linear Metrics. Yaxin Peng, Lingfang Hu, Shihui Ying, Chaomin Shen |
| 2018 | Graph sketching-based Space-efficient Data Clustering. Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif |
| 2018 | Group Centrality Maximization via Network Design. Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami |
| 2018 | Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. Tengfei Ma, Cao Xiao, Fei Wang |
| 2018 | Image Constrained Blockmodelling: A Constraint Programming Approach. Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson |
| 2018 | Interpretable Categorization of Heterogeneous Time Series Data. Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann |
| 2018 | Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang |
| 2018 | JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran |
| 2018 | Latitude: A Model for Mixed Linear-Tropical Matrix Factorization. Sanjar Karaev, James L. Hook, Pauli Miettinen |
| 2018 | Learning Convolutional Text Representations for Visual Question Answering. Zhengyang Wang, Shuiwang Ji |
| 2018 | Learning Graph Representation via Frequent Subgraphs. Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2018 | Learning to Interact with Users: A Collaborative-Bandit Approach. Konstantina Christakopoulou, Arindam Banerjee |
| 2018 | Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. Wei-Lin Chiang, Yu-Sheng Li, Ching-pei Lee, Chih-Jen Lin |
| 2018 | Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation. Richard Leibrandt, Stephan Günnemann |
| 2018 | Many-to-many Correspondences between Partitions: Introducing a Cut-based Approach. Roland Glantz, Henning Meyerhenke |
| 2018 | Markov Chain Monitoring. Harshal A. Chaudhari, Michael Mathioudakis, Evimaria Terzi |
| 2018 | Maximizing the Effect of Information Adoption: A General Framework. Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu |
| 2018 | Mining Top- Len Feremans, Boris Cule, Bart Goethals |
| 2018 | Mixtures of Block Models for Brain Networks. Zilong Bai, Peter B. Walker, Ian Davidson |
| 2018 | Modeling Co-Evolution Across Multiple Networks. Wenchao Yu, Charu C. Aggarwal, Wei Wang |
| 2018 | Modeling Item-specific Effects for Video Click. Fei Tan, Kuang Du, Zhi Wei, Haoran Liu, Chenguang Qin, Ran Zhu |
| 2018 | Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das |
| 2018 | Multi-Layered Network Embedding. Jundong Li, Chen Chen, Hanghang Tong, Huan Liu |
| 2018 | Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data. Yan Li, Tao Yang, Jiayu Zhou, Jieping Ye |
| 2018 | Multi-view Weak-label Learning based on Matrix Completion. Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | NLRR++: Scalable Subspace Clustering via Non-Convex Block Coordinate Descent. Jun Wang, Cho-Jui Hsieh, Daming Shi |
| 2018 | Near-Optimal Mapping of Network States using Probes. Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti |
| 2018 | Network Inference from Contrastive Groups Using Discriminative Structural Regularization. Ruihua Cheng, Zhi Wei, Kai Zhang |
| 2018 | On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation. Fei Jiang, Lifang He, Yi Zheng, Enqiang Zhu, Jin Xu, Philip S. Yu |
| 2018 | On2Vec: Embedding-based Relation Prediction for Ontology Population. Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo |
| 2018 | One-Class Recommendation with Asymmetric Textual Feedback. Mengting Wan, Julian J. McAuley |
| 2018 | Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit Algorithms. Qing Wang, Tao Li, S. S. Iyengar, Larisa Shwartz, Genady Ya. Grabarnik |
| 2018 | Online Truth Discovery on Time Series Data. Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang |
| 2018 | Outlier Detection over Distributed Trajectory Streams. Jiali Mao, Pengda Sun, Cheqing Jin, Aoying Zhou |
| 2018 | ParaSketch: Parallel Tensor Factorization via Sketching. Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos |
| 2018 | Personalized Ranking on Poisson Factorization. Li-Yen Kuo, Chung-Kuang Chou, Ming-Syan Chen |
| 2018 | Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA. Martin Ester, Dino Pedreschi |
| 2018 | Reconstructing a cascade from temporal observations. Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis |
| 2018 | Revenue Maximization on the Multi-grade Product. Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen |
| 2018 | Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. Peng Yang, Peilin Zhao, Yong Liu, Xin Gao |
| 2018 | Robust Road Map Inference through Network Alignment of Trajectories. Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat |
| 2018 | SMACD: Semi-supervised Multi-Aspect Community Detection. Ekta Gujral, Evangelos E. Papalexakis |
| 2018 | STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan |
| 2018 | SamBaTen: Sampling-based Batch Incremental Tensor Decomposition. Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis |
| 2018 | Semi-supervised Embedding in Attributed Networks with Outliers. Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy |
| 2018 | Sparse Decomposition for Time Series Forecasting and Anomaly Detection. Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini |
| 2018 | StreamCast: Fast and Online Mining of Power Grid Time Sequences. Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos |
| 2018 | Streaming Tensor Factorization for Infinite Data Sources. Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis |
| 2018 | Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression. Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian |
| 2018 | The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. Sibylle Hess, Nico Piatkowski, Katharina Morik |
| 2018 | Topic Modeling based on Keywords and Context. Johannes Schneider, Michail Vlachos |
| 2018 | Toward Relational Learning with Misinformation. Liang Wu, Jundong Li, Fred Morstatter, Huan Liu |
| 2018 | Uncorrelated Patient Similarity Learning. Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang |
| 2018 | Unsupervised Neural Categorization for Scientific Publications. Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan |
| 2018 | Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks. Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla |
| 2018 | You Are How You Move: Linking Multiple User Identities From Massive Mobility Traces. Huandong Wang, Yong Li, Gang Wang, Depeng Jin |