| 2019 | Variable-Lag Granger Causality for Time Series Analysis. | Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf |
| 2019 | Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. | Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary |
| 2019 | Higher Order Mining for Monitoring District Heating Substations. | Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Hkan Grahn, Niklas Lavesson |
| 2019 | Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. | Lei Fang, Juan Ye, Simon Dobson |
| 2019 | Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. | Mariana Oliveira, Nuno Moniz, Lus Torgo, Vtor Santos Costa |
| 2018 | Using Data Analytics to Optimize Public Transportation on a College Campus. | Kurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic |
| 2018 | Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. | Xuan Zhou, Yuanjia Wang, Donglin Zeng |
| 2018 | Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. | Yue Zhang, Arti Ramesh |
| 2018 | DeepClean: Data Cleaning via Question Asking. | Xinyang Zhang, Yujie Ji, Chanh Nguyen, Ting Wang |
| 2018 | DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization. | Tzu-Hsin Yang, Hao-Shang Ma, Jen-Wei Huang |
| 2018 | Practical Deep Learning Architecture Optimization. | Martin Wistuba |
| 2018 | Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks. | Raghavendran Vijayan, George O. Mohler |
| 2018 | Towards Simulation-Data Science - A Case Study on Material Failures. | Holger Trittenbach, Martin Gauch, Klemens Bhm, Katrin Schulz |
| 2018 | Learning to Make Predictions on Graphs with Autoencoders. | Phi Vu Tran |
| 2018 | Crowdsourcing Landforms for Open GIS Enrichment. | Rocio Nahime Torres, Darian Frajberg, Piero Fraternali, Sergio Luis Herrera Gonzales |
| 2018 | Parallel Continuous Outlier Mining in Streaming Data. | Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio |
| 2018 | Environmental and Geo-Spatial Data Analytics (EnGeoData'2018). | Maguelonne Teisseire, Mathieu Roche, Diana Inkpen |
| 2018 | An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. | Florian Strohm, Roman Klinger |
| 2018 | Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. | Falco Joannes Bargagli Stoffi, Giorgio Gnecco |
| 2018 | Data Science Challenges in Computational Psychiatry and Psychiatric Research. | Daniel Stahl, Daniel Stamate |
| 2018 | Optimizing New User Experience in Online Services. | Ken Soong, Xin Fu, Yang Zhou |
| 2018 | Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data. | Christine Sinoquet, Kamel Mekhnacha |
| 2018 | Global Income Inequality and Savings: A Data Science Perspective. | Kiran Sharma, Subhradeep Das, Anirban Chakraborti |
| 2018 | MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. | Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev |
| 2018 | Classifying Sensitive Content in Online Advertisements with Deep Learning. | Ashutosh Sanzgiri, Daniel Austin, Kannan Sankaran, Ryan Woodard, Amit Lissack, Sam Seljan |