Παρακολούθηση
Asterios Tsiourvas
Asterios Tsiourvas
PhD Candidate, Operations Research Center, MIT
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mit.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
272*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
892022
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
12*2023
Optimizing objective functions from trained relu neural networks via sampling
G Perakis, A Tsiourvas
arXiv preprint arXiv:2205.14189, 2022
9*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
92019
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
82023
Learning Prescriptive ReLU Networks
W Sun, A Tsiourvas
International Conference on Machine Learning, 2023
22023
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
22021
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, 2024
1*2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
A Tsiourvas, W Sun, G Perakis
International Conference on Artificial Intelligence and Statistics, 3763-3771, 2024
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
2024
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
Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
A Tsiourvas, G Perakis
Forty-first International Conference on Machine Learning, 0
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, 0
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