| 2018 | AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. | Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han |
| 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 Gnnemann |
| 2018 | A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks. | Tushar Semwal, Promod Yenigalla, Gaurav Mathur, Shivashankar B. Nair |
| 2018 | Topic Modeling based on Keywords and Context. | Johannes Schneider, Michail Vlachos |
| 2018 | ALE: Additive Latent Effect Models for Grade Prediction. | Zhiyun Ren, Xia Ning, Huzefa Rangwala |
| 2018 | Global Nonlinear Metric Learning by Gluing Local Linear Metrics. | Yaxin Peng, Lingfang Hu, Shihui Ying, Chaomin Shen |
| 2018 | STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. | Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan |
| 2018 | Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. | Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar |
| 2018 | Graph sketching-based Space-efficient Data Clustering. | Anne Morvan, Krzysztof Choromanski, Cdric Gouy-Pailler, Jamal Atif |
| 2018 | Classifier Performance Estimation with Unbalanced, Partially Labeled Data. | Benjamin A. Miller, Jeremy Vila, Malina Kirn, Joseph R. Zipkin |
| 2018 | Cost-sensitive Classifier Selection when there is Additional Cost Information. | Ryan Meekins, Stephen C. Adams, Peter A. Beling, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Sherwood Polter, Qing Dong |
| 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 | Outlier Detection over Distributed Trajectory Streams. | Jiali Mao, Pengda Sun, Cheqing Jin, Aoying Zhou |
| 2018 | Unsupervised Neural Categorization for Scientific Publications. | Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan |
| 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 | Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. | Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das |
| 2018 | Black-box Expectation Propagation for Bayesian Models. | Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang |
| 2018 | Semi-supervised Embedding in Attributed Networks with Outliers. | Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy |
| 2018 | Multi-Layered Network Embedding. | Jundong Li, Chen Chen, Hanghang Tong, Huan Liu |
| 2018 | Evolving Separating References for Time Series Classification. | Xiaosheng Li, Jessica Lin |
| 2018 | Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation. | Richard Leibrandt, Stephan Gnnemann |
| 2018 | Interpretable Categorization of Heterogeneous Time Series Data. | Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann |
| 2018 | Discovering Hidden Topical Hubs and Authorities in Online Social Networks. | Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim |