| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 336* | 2022 |
| The United States COVID-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 116 | 2022 |
| COVID-19: Prediction, prevalence, and the operations of vaccine allocation A Bennouna, J Joseph, D Nze-Ndong, G Perakis, D Singhvi, OS Lami, ... Manufacturing & Service Operations Management 25 (3), 1013-1032, 2023 | 21* | 2023 |
| Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks EH Georgoulis, M Loulakis, A Tsiourvas Communications in Nonlinear Science and Numerical Simulation 117, 106893, 2023 | 14 | 2023 |
| Optimizing objective functions from trained ReLU neural networks via sampling G Perakis, A Tsiourvas arXiv preprint arXiv:2205.14189, 2022 | 12* | 2022 |
| Bigoptibase: Big data analytics for base station energy consumption optimization E Kassela, N Provatas, A Tsiourvas, I Konstantinou, N Koziris 2019 IEEE International Conference on Big Data (Big Data), 6098-6100, 2019 | 9 | 2019 |
| Learning Prescriptive ReLU Networks W Sun, A Tsiourvas International Conference on Machine Learning, 2023 | 5 | 2023 |
| Manifold-aligned counterfactual explanations for neural networks A Tsiourvas, W Sun, G Perakis International Conference on Artificial Intelligence and Statistics, 3763-3771, 2024 | 4 | 2024 |
| A granular approach to optimal and fair patient placement in hospital emergency departments AQIDGQMM Canellas, DA Pachamanova, G Perakis, O Skali Lami, ... Production and Operations Management, 10591478241240390, 2024 | 4 | 2024 |
| A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights MM Canellas, KA Kotkowski, DA Pachamanova, G Perakis, MA Reznek, ... Annals of Emergency Medicine 84 (4), 386-398, 2024 | 2* | 2024 |
| A mechanism design and learning approach for revenue maximization on cloud dynamic spot markets A Tsiourvas, C Bitsakos, I Konstantinou, D Fotakis, N Koziris 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 427-432, 2021 | 2 | 2021 |
| Counterfactual prediction and interpretable policy learning from observational data using prescriptive relu networks W Sun, M Ettl, A Tsiourvas US Patent App. 18/217,091, 2025 | | 2025 |
| Learning optimal projection for forecast reconciliation of hierarchical time series A Tsiourvas, W Sun, G Perakis, PY Chen, Y Zhu Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Overcoming the optimizer's curse: obtaining realistic prescriptions from neural networks A Tsiourvas, G Perakis Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States (vol 119, e2113561119, 2022) EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF …, 2023 | | 2023 |
| Neural-Informed Decision Trees: A Fair, Interpretable and Expressive Tree Model G Perakis, A Tsiourvas | | 2023 |
| 75 Disparities in Emergency Department Wait Times for Female, Transgender Female, Black and Non-English-Speaking Patients M Canellas, G Perakis, D Pachamanova, OS Lami, A Tsiourvas Annals of Emergency Medicine 80 (4), S39, 2022 | | 2022 |
Georgia PerakisWilliam F. Pounds Professor of Operations Management and Operations Researchכתובת אימייל מאומתת בדומיין mit.edu