Daniel B. Neill

68 papers A* 12A 3B 1C 1Misc 3Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auditing Predictive Models for Intersectional Biases. Trans. Mach. Learn. Res. Kate S. Boxer, Edward McFowland III, Daniel B. Neill
2025	J	`jnl`	Achieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape. Frontiers Big Data Stan Kachnowski, Asif H. Khan, Shadé Floquet, Kendal K. Whitlock, Juan Pablo Wisnivesky, Daniel B. Neill, Irene Dankwa-Mullan, Gezzer Ortega, Moataz Daoud, Raza Zaheer, Maia Hightower, Paul Rowe
2025	—	`conf`	Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set. EAAMO Gordon Dai, Pavan Ravishankar, Rachel Yuan, Emily Black, Daniel B. Neill
2025	J	`jnl`	Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set. CoRR Gordon Dai, Pavan Ravishankar, Rachel Yuan, Daniel B. Neill, Emily Black
2025	J	`jnl`	Learning Representational Disparities. CoRR Pavan Ravishankar, Rushabh Shah, Daniel B. Neill
2025	—	`conf`	Realizing the Promises of Algorithmic Recourse through Reliability, Accessibility, and Fairness Principles. EAAMO Kate S. Boxer, Daniel B. Neill
2023	J	`jnl`	Auditing Predictive Models for Intersectional Biases. CoRR Kate S. Boxer, Edward McFowland III, Daniel B. Neill
2023	A*	`conf`	Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data. AAAI Katie Rosman, Daniel B. Neill
2023	J	`jnl`	Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property. J. Comput. Graph. Stat. Charles A. Pehlivanian, Daniel B. Neill
2023	J	`jnl`	Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators. J. Mach. Learn. Res. Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill
2023	J	`jnl`	Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness. CoRR Neil Menghani, Edward McFowland III, Daniel B. Neill
2023	A	`conf`	Positional Encoder Graph Neural Networks for Geographic Data. AISTATS Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill
2023	A*	`conf`	Provable Detection of Propagating Sampling Bias in Prediction Models. AAAI Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
2023	J	`jnl`	Provable Detection of Propagating Sampling Bias in Prediction Models. CoRR Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
2022	A*	`conf`	Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. AAAI Chunpai Wang, Daniel B. Neill, Feng Chen
2022	J	`jnl`	Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. CoRR Chunpai Wang, Daniel B. Neill, Feng Chen
2022	A*	`conf`	SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. AAAI Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
2021	Misc	`conf`	Automatic Stratification of Tabular Health Data. AMIA Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill
2021	—	`conf`	Auxiliary-task learning for geographic data with autoregressive embeddings. SIGSPATIAL/GIS Konstantin Klemmer, Daniel B. Neill
2021	J	`jnl`	Positional Encoder Graph Neural Networks for Geographic Data. CoRR Konstantin Klemmer, Nathan Safir, Daniel B. Neill
2021	J	`jnl`	SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. CoRR Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
2021	J	`jnl`	Support vector subset scan for spatial pattern detection. Comput. Stat. Data Anal. Dylan J. Fitzpatrick, Yun Ni, Daniel B. Neill
2020	J	`jnl`	Guest Editorial: Special Issue on Analytics for Local Events and News. GeoInformatica Amr Magdy, Xun Zhou, Daniel B. Neill
2020	J	`jnl`	Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment. CoRR Dylan J. Fitzpatrick, Wilpen L. Gorr, Daniel B. Neill
2020	J	`jnl`	SXL: Spatially explicit learning of geographic processes with auxiliary tasks. CoRR Konstantin Klemmer, Daniel B. Neill
2019	J	`jnl`	Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. J. Mach. Learn. Res. William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson
2019	—	`conf`	Detecting Spatial Clusters of Disease Infection Risk Using Sparsely Sampled Social Media Mobility Patterns. SIGSPATIAL/GIS Roberto C. S. N. P. Souza, Renato M. Assunção, Daniel B. Neill, Wagner Meira Jr.
2018	A*	`conf`	Automated Local Regression Discontinuity Design Discovery. KDD William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
2018	J	`jnl`	Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. CoRR William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson
2018	—	`ch.`	Disease Surveillance: Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Skyler Speakman, Sriram Somanchi, Edward McFowland III, Daniel B. Neill
2018	A	`conf`	Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. AISTATS William Herlands, Edward McFowland, Andrew Gordon Wilson, Daniel B. Neill
2018	J	`jnl`	Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. CoRR William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
2018	J	`jnl`	Machine Learning for the Developing World. ACM Trans. Manag. Inf. Syst. Maria De-Arteaga, William Herlands, Daniel B. Neill, Artur Dubrawski
2018	J	`jnl`	Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features. CoRR Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis
2017	J	`jnl`	Graph Structure Learning from Unlabeled Data for Early Outbreak Detection. IEEE Intell. Syst. Sriram Somanchi, Daniel B. Neill
2017	J	`jnl`	Graph Structure Learning from Unlabeled Data for Event Detection. CoRR Sriram Somanchi, Daniel B. Neill
2017	J	`jnl`	Machine Learning for Drug Overdose Surveillance. CoRR Daniel B. Neill, William Herlands
2017	—	`ch.`	Subset Scanning for Event and Pattern Detection. Encyclopedia of GIS Daniel B. Neill
2016	J	`jnl`	Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference. ACM Trans. Intell. Syst. Technol. Seth R. Flaxman, Daniel B. Neill, Alexander J. Smola
2016	J	`jnl`	Identifying Significant Predictive Bias in Classifiers. CoRR Zhe Zhang, Daniel B. Neill
2016	A	`conf`	Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. AISTATS William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing
2016	J	`jnl`	Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. CoRR Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill
2015	A*	`conf`	Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. ICML Seth R. Flaxman, Andrew Gordon Wilson, Daniel B. Neill, Hannes Nickisch, Alexander J. Smola
2015	J	`jnl`	Human Rights Event Detection from Heterogeneous Social Media Graphs. Big Data Feng Chen, Daniel B. Neill
2015	J	`jnl`	Machine Learning Approaches for Early DRG Classification and Resource Allocation. INFORMS J. Comput. Daniel Gartner, Rainer Kolisch, Daniel B. Neill, Rema Padman
2014	—	`ch.`	Disease Surveillance, Case Study. Encyclopedia of Social Network Analysis and Mining Skyler Speakman, Sriram Somanchi, Edward McFowland, Daniel B. Neill
2014	A*	`conf`	Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. KDD Feng Chen, Daniel B. Neill
2014	—	`ed.`	Smart Health - International Conference, ICSH 2014, Beijing, China, July 10-11, 2014. Proceedings ICSH Xiaolong Zheng, Daniel Zeng, Hsinchun Chen, Yong Zhang, Chunxiao Xing, Daniel B. Neill
2013	A*	`conf`	Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints. ICDM Skyler Speakman, Yating Zhang, Daniel B. Neill
2013	J	`jnl`	Fast generalized subset scan for anomalous pattern detection. J. Mach. Learn. Res. Edward McFowland, Skyler Speakman, Daniel B. Neill
2013	J	`jnl`	Using Artificial Intelligence to Improve Hospital Inpatient Care. IEEE Intell. Syst. Daniel B. Neill
2012	J	`jnl`	Information Visualization for Chronic Disease Risk Assessment. IEEE Intell. Syst. Christopher A. Harle, Daniel B. Neill, Rema Padman
2012	J	`jnl`	New Directions in Artificial Intelligence for Public Health Surveillance. IEEE Intell. Syst. Daniel B. Neill
2011	A*	`conf`	A Generalized Fast Subset Sums Framework for Bayesian Event Detection. ICDM Kan Shao, Yandong Liu, Daniel B. Neill
2011	J	`jnl`	Automatic detection of omissions in medication lists. J. Am. Medical Informatics Assoc. Sharique Hasan, George T. Duncan, Daniel B. Neill, Rema Padman
2011	J	`jnl`	Detection of Patterns in Water Distribution Pipe Breakage Using Spatial Scan Statistics for Point Events in a Physical Network. J. Comput. Civ. Eng. Daniel P. de Oliveira, Daniel B. Neill, James H. Garrett Jr., Lucio Soibelman
2010	J	`jnl`	A Bayesian network model for spatial event surveillance. Int. J. Approx. Reason. Xia Jiang, Daniel B. Neill, Gregory F. Cooper
2010	J	`jnl`	A multivariate Bayesian scan statistic for early event detection and characterization. Mach. Learn. Daniel B. Neill, Gregory F. Cooper
2009	Misc	`conf`	Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. AMIA Xia Jiang, Gregory F. Cooper, Daniel B. Neill
2009	C	`conf`	T-Cube Web Interface in support of real-time bio-surveillance program. ICTD Artur Dubrawski, Maheshkumar Sabhnani, Michael Knight, Michael Baysek, Daniel B. Neill, Saswati Ray, Anna Michalska, Nuwan Waidyanatha
2008	A*	`conf`	Anomaly pattern detection in categorical datasets. KDD Kaustav Das, Jeff G. Schneider, Daniel B. Neill
2008	Misc	`conf`	Towards a Collaborative Filtering Approach to Medication Reconciliation. AMIA Sharique Hasan, George T. Duncan, Daniel B. Neill, Rema Padman
2005	—	`conf`	A Bayesian Spatial Scan Statistic. NIPS Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper
2005	A*	`conf`	Detection of emerging space-time clusters. KDD Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel
2004	—	`conf`	Detecting Significant Multidimensional Spatial Clusters. NIPS Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
2004	A*	`conf`	Rapid detection of significant spatial clusters. KDD Daniel B. Neill, Andrew W. Moore
2003	—	`conf`	A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters. NIPS Daniel B. Neill, Andrew W. Moore
2003	B	`conf`	Cooperation and coordination in the turn-taking dilemma. TARK Daniel B. Neill