Aequitas: A bias and fairness audit toolkit P Saleiro, B Kuester, L Hinkson, J London, A Stevens, A Anisfeld, ... arXiv preprint arXiv:1811.05577, 2018 | 444 | 2018 |
Graph-guided regularized regression of Pacific Ocean climate variables to increase predictive skill of southwestern US winter precipitation A Stevens, R Willett, A Mamalakis, E Foufoula-Georgiou, A Tejedor, ... Journal of climate 34 (2), 737-754, 2021 | 19 | 2021 |
Developing distributed high-performance computing capabilities of an open science platform for robust epidemic analysis N Collier, JM Wozniak, A Stevens, Y Babuji, M Binois, A Fadikar, A Würth, ... 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 12 | 2023 |
Impact of changes in protective behaviors and out-of-household activities by age on COVID-19 transmission and hospitalization in Chicago, Illinois AL Hotton, J Ozik, C Kaligotla, N Collier, A Stevens, AS Khanna, ... Annals of Epidemiology 76, 165-173, 2022 | 11 | 2022 |
Trajectory-oriented optimization of stochastic epidemiological models A Fadikar, N Collier, A Stevens, J Ozik, M Binois, KB Toh 2023 Winter Simulation Conference (WSC), 1244-1255, 2023 | 5 | 2023 |
Lazy estimation of variable importance for large neural networks Y Gao, A Stevens, G Raskutti, R Willett International Conference on Machine Learning, 7122-7143, 2022 | 5 | 2022 |
Development of large-scale synthetic population to simulate covid-19 transmission and response K Chaitanya, S Abby, M Bogdan, O Jonathan, TC Nicholson, WC Kyoung, ... 2020 Winter Simulation Conference (WSC), 2020 | 2 | 2020 |
The broken ptolemy algebra: A finite-type laurent phenomenon algebra S Gallagher, A Stevens preprint, 2013 | 2 | 2013 |
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo A Fadikar, A Stevens, N Collier, KB Toh, O Morozova, A Hotton, J Clark, ... 2024 IEEE International Parallel and Distributed Processing Symposium …, 2024 | 1 | 2024 |
Graph-Guided Regularization for Improved Seasonal Forecasting A Stevens, R Willett, A Mamalakis, E Foufoula-Georgiou, J Randerson, ... Climate Informatics, 2019 | 1 | 2019 |
Distributed Model Exploration with EMEWS N Collier, JM Wozniak, A Fadikar, A Stevens, J Ozik 2024 Winter Simulation Conference (WSC), 72-86, 2024 | | 2024 |
A Lightweight Decision Support Framework for Community Climate Resilience in Chicago A Stevens, M Adrian, K Raghavan, J Ozik, C Macal AGU24, 2024 | | 2024 |
Gearing Gaussian process modeling and sequential design towards stochastic simulators M Binois, A Fadikar, A Stevens arXiv preprint arXiv:2412.07306, 2024 | | 2024 |
Co-Designing Capabilities for a Robust Pandemic Response: Stakeholder Engagement for Visioning, Backcasting, and Evaluating New Decision-Support Capabilities R Vardavas, J Ozik, RJ Lempert, A Stevens, PN Lima < bound method Organization. get_name_with_acronym of< Organization: RAND …, 2023 | | 2023 |
NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling A Stevens, J Ozik, K Chard, J Gerardin, JM Wozniak arXiv preprint arXiv:2308.04602, 2023 | | 2023 |
Co-Designing Capabilities for a Robust Pandemic PN DE LIMA, A STEVENS, R VARDAVAS, J OZIK, RJ LEMPERT | | 2023 |
NSF RESUME EcoEpi Workshop: One Health Surveillance and Predictive Intelligence for Eco-Epidemiological Modeling A Stevens, J Ozik, J Chen, R Poretsky OSF, 0 | | |