Daniel B. Neill
New York University
H-index: 36
North America-United States
Top articles of Daniel B. Neill
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island | Epidemiology | Bennett Allen Robert C Schell Victoria A Jent Maxwell Krieger Claire Pratty | 2024/3/1 |
Housing-Sensitive Health Conditions Can Predict Poor-Quality Housing: Study examines how housing-sensitive health conditions can be used to identify poor quality housing | Health Affairs | Ougni Chakraborty Kacie L Dragan Ingrid Gould Ellen Sherry A Glied Renata E Howland | 2024/2/1 |
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness | arXiv preprint arXiv:2306.11181 | Neil Menghani Edward McFowland III Daniel B Neill | 2023/6/19 |
Translating predictive analytics for public health practice: A case study of overdose prevention in Rhode Island | American Journal of Epidemiology | Bennett Allen Daniel B Neill Robert C Schell Jennifer Ahern Benjamin D Hallowell | 2023/10 |
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection | Edward McFowland Sriram Somanchi Daniel B Neill | 2023/5 | |
Neighborhood-level risk factors for severe hyperglycemia among emergency department patients without a prior diabetes diagnosis | Journal of Urban Health | Christian A Koziatek Isaac Bohart Reed Caldwell Jordan Swartz Perry Rosen | 2023/8 |
Positional encoder graph neural networks for geographic data | Konstantin Klemmer Nathan S Safir Daniel B Neill | 2023/4/11 | |
Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data | Proceedings of the AAAI Conference on Artificial Intelligence | Katie Rosman Daniel B Neill | 2023/6/26 |
Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property | Journal of Computational and Graphical Statistics | Charles A Pehlivanian Daniel B Neill | 2023/4/3 |
Provable detection of propagating sampling bias in prediction models | Proceedings of the AAAI Conference on Artificial Intelligence | Pavan Ravishankar Qingyu Mo Edward McFowland III Daniel B Neill | 2023/6/26 |
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators | Journal of Machine Learning Research | Benjamin Jakubowski Sriram Somanchi Edward McFowland III Daniel B Neill | 2023 |
Auditing Predictive Models for Intersectional Biases | arXiv preprint arXiv:2306.13064 | Kate S Boxer Edward McFowland III Daniel B Neill | 2023/6/22 |
Presyndromic surveillance for improved detection of emerging public health threats | Science Advances | Mallory Nobles Ramona Lall Robert W Mathes Daniel B Neill | 2022/11/4 |
Calibrated nonparametric scan statistics for anomalous pattern detection in graphs | Proceedings of the AAAI Conference on Artificial Intelligence | Chunpai Wang Daniel B Neill Feng Chen | 2022/6/28 |
Spate-gan: Improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss | Proceedings of the AAAI Conference on Artificial Intelligence | Konstantin Klemmer Tianlin Xu Beatrice Acciaio Daniel B Neill | 2022/6/28 |
Preventing Overdose Using Information and Data from the Environment (PROVIDENT): protocol for a randomized, population‐based, community intervention trial | Addiction | Brandon DL Marshall Nicole Alexander‐Scott Jesse L Yedinak Benjamin D Hallowell William C Goedel | 2022/4 |
Identifying predictors of opioid overdose death at a neighborhood level with machine learning | American journal of epidemiology | Robert C Schell Bennett Allen William C Goedel Benjamin D Hallowell Rachel Scagos | 2022/3 |
Auxiliary-task learning for geographic data with autoregressive embeddings | Konstantin Klemmer Daniel B Neill | 2021/11/2 | |
Automatic stratification of tabular health data | Skyler Speakman Girmaw Abebe Tadesse Victor Abayomi Akinwande William Ogallo Claire-Helene Mersho | 2021/10/29 | |
Support vector subset scan for spatial pattern detection | Computational statistics & data analysis | Dylan Fitzpatrick Yun Ni Daniel B Neill | 2021/5/1 |
Co-Authors
