| Integrated multimodal artificial intelligence framework for healthcare applications LR Soenksen, Y Ma, C Zeng, LDJ Boussioux, KV Carballo, L Na, ... NPJ Digital Medicine 5 (1), 149, 2022 | 129* | 2022 |
| From predictions to prescriptions: A data-driven response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health care management science 24, 253-272, 2021 | 111 | 2021 |
| Hurricane Forecasting: A Novel Multimodal Machine Learning Framework L Boussioux, C Zeng, T Guénais, D Bertsimas Weather and Forecasting, 2022 | 61 | 2022 |
| The Crowdless Future? Generative AI and Creative Problem-Solving L Boussioux, JN Lane, M Zhang, V Jacimovic, KR Lakhani Organization Science, 2024 | 40* | 2024 |
| An aggregated dataset of clinical outcomes for COVID-19 patients D Bertsimas, H Bandi, L Boussioux, R Cory-Wright, A Delarue, ... URL: http://www. covidanalytics. io/dataset documentation, 2020 | 25* | 2020 |
| TabText: A Flexible and Contextual Approach to Tabular Data Representation K Villalobos Carballo, L Na, Y Ma, L Boussioux, C Zeng, LR Soenksen, ... arXiv e-prints, arXiv: 2206.10381, 2022 | 17* | 2022 |
| Holistic deep learning D Bertsimas, K Villalobos Carballo, L Boussioux, ML Li, A Paskov, ... Machine Learning, 1-25, 2023 | 7 | 2023 |
| Combating false negatives in adversarial imitation learning K Zolna, C Saharia, L Boussioux, DYT Hui, M Chevalier-Boisvert, ... 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-9, 2020 | 7 | 2020 |
| Ensemble modeling for time series forecasting: an adaptive robust optimization approach D Bertsimas, L Boussioux arXiv preprint arXiv:2304.04308, 2023 | 6 | 2023 |
| oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions D Venuto, J Chakravorty, L Boussioux, J Wang, G McCracken, D Precup https://arxiv.org/abs/2002.09043, 2020 | 6 | 2020 |
| From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto S Wasserkrug, L Boussioux, D Hertog, F Mirzazadeh, I Birbil, J Kurtz, ... arXiv preprint arXiv:2402.16269, 2024 | 5 | 2024 |
| Leveraging AI for Natural Disaster Management: Takeaways From The Moroccan Earthquake MS Hackathon NeurIPS 2023 WS: 6th Workshop on Artificial Intelligence for Humanitarian …, 2023 | 4 | 2023 |
| Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble L Boussioux, Y Ma, NK Thomas, D Bertsimas, N Shusharina, J Pursley, ... International Journal of Radiation Oncology* Biology* Physics 117 (3), 738-749, 2023 | 3 | 2023 |
| Reducing Air Pollution through Machine Learning D Bertsimas, L Boussioux, C Zeng arXiv preprint arXiv:2303.12285, 2023 | 3 | 2023 |
| Code for generating the HAIM multi-modal dataset of MIMIC-IV clinical data and X-rays. 2022 LR Soenksen, Y Ma, C Zeng, LDJ Boussioux, K Villalobos Carballo, L Na, ... PhysioNet, 2022 | 3* | 2022 |
| Over-map: Structural attention mechanism and automated semantic segmentation ensembled for uncertainty prediction CA Kantor, L Boussioux, B Rauby, H Talbot Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15316 …, 2021 | 2* | 2021 |
| Avoidance Learning Using Observational Reinforcement Learning D Venuto, L Boussioux, J Wang, R Dali, J Chakravorty, Y Bengio, ... NeurIPS 2019, Safety and Robustness in Decision Making Workshop, 2019 | 2 | 2019 |
| Combining Large Language Models and OR/MS to Make Smarter Decisions S Wasserkrug, L Boussioux, W Sun Tutorials in Operations Research: Smarter Decisions for a Better World, 1-49, 2024 | 1 | 2024 |
| Multimodality: Models, Algorithms, and Applications L Boussioux Massachusetts Institute of Technology, 2023 | 1 | 2023 |
| Asymptotic cross-entropy weighting and guided-loss in supervised hierarchical setting using deep attention network CA Kantor, L Boussioux, E Jehanno, H Talbot AAAI Fall Symposium on AI for Social Good, 2020 | 1 | 2020 |
Dimitris BertsimasBoeing Professor of Operations Research, MITAdresse e-mail validée de mit.edu
