| 2023 | AAAI | Provable Detection of Propagating Sampling Bias in Prediction Models. | Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill |
| 2023 | AAAI | Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data. | Katie Rosman, Daniel B. Neill |
| 2023 | AISTATS | Positional Encoder Graph Neural Networks for Geographic Data. | Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill |
| 2022 | AAAI | SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. | Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill |
| 2022 | AAAI | Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. | Chunpai Wang, Daniel B. Neill, Feng Chen |
| 2021 | AMIA | Automatic Stratification of Tabular Health Data. | Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill |
| 2018 | AISTATS | Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. | William Herlands, Edward McFowland, Andrew Gordon Wilson, Daniel B. Neill |
| 2018 | KDD | Automated Local Regression Discontinuity Design Discovery. | William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill |
| 2016 | AISTATS | Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. | William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing |
| 2015 | ICML | Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. | Seth R. Flaxman, Andrew Gordon Wilson, Daniel B. Neill, Hannes Nickisch, Alexander J. Smola |
| 2014 | KDD | Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. | Feng Chen, Daniel B. Neill |
| 2013 | ICDM | Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints. | Skyler Speakman, Yating Zhang, Daniel B. Neill |
| 2011 | ICDM | A Generalized Fast Subset Sums Framework for Bayesian Event Detection. | Kan Shao, Yandong Liu, Daniel B. Neill |
| 2009 | AMIA | Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. | Xia Jiang, Gregory F. Cooper, Daniel B. Neill |
| 2009 | ICTD | T-Cube Web Interface in support of real-time bio-surveillance program. | Artur Dubrawski, Maheshkumar Sabhnani, Michael Knight, Michael Baysek, Daniel B. Neill, Saswati Ray, Anna Michalska, Nuwan Waidyanatha |
| 2008 | AMIA | Towards a Collaborative Filtering Approach to Medication Reconciliation. | Sharique Hasan, George T. Duncan, Daniel B. Neill, Rema Padman |
| 2008 | KDD | Anomaly pattern detection in categorical datasets. | Kaustav Das, Jeff G. Schneider, Daniel B. Neill |
| 2005 | KDD | Detection of emerging space-time clusters. | Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel |
| 2004 | KDD | Rapid detection of significant spatial clusters. | Daniel B. Neill, Andrew W. Moore |
| 2003 | TARK | Cooperation and coordination in the turn-taking dilemma. | Daniel B. Neill |