| 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 (2), 253-272, 2021 | 78 | 2021 |
| 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 | 27* | 2022 |
| 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/datasetdocumentation, 2020 | 25* | 2020 |
| Hurricane Forecasting: A Novel Multimodal Machine Learning Framework L Boussioux, C Zeng, T Guénais, D Bertsimas Weather and Forecasting, 2022 | 22 | 2022 |
| 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 | 5 | 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 | 3* | 2022 |
| 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 | 3 | 2020 |
| Holistic Deep Learning D Bertsimas, L Boussioux, KV Carballo, ML Li, A Paskov, I Paskov arXiv preprint arXiv:2110.15829, 2021 | 1 | 2021 |
| Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction C Kantor, L Boussioux, B Rauby, H Talbot Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 1 | 2020 |
| 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 |
| 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 | 1 | 2019 |
| InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification L Boussioux, T Giro-Larraz, C Guille-Escuret, M Cherti, B Kégl ICML 2019, AI for Social Good Workshop, 2019 | 1 | 2019 |
| The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing L Boussioux, J N Lane, M Zhang, V Jacimovic, KR Lakhani The Crowdless Future, 2023 | | 2023 |
| Automated Segmentation of Sacral Chordomas 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, 2023 | | 2023 |
| Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach D Bertsimas, L Boussioux arXiv preprint arXiv:2304.04308, 2023 | | 2023 |
| Reducing Air Pollution through Machine Learning D Bertsimas, L Boussioux, C Zeng arXiv preprint arXiv:2303.12285, 2023 | | 2023 |
| Multimodality: Models, Algorithms, and Applications L Boussioux Massachusetts Institute of Technology, 2023 | | 2023 |
| Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and X-rays LR Soenksen, Y Ma, C Zeng, L Boussioux, KV Carballo, L Na, HM Wiberg, ... URL https://doi.org/10.13026/3f8d-qe93, 2022 | | 2022 |
| Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks CA Kantor, L Boussioux, B Rauby, H Talbot Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15807 …, 2021 | | 2021 |
| Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification C Kantor, M Skreta, B Rauby, L Boussioux, E Jehanno, A Luccioni, ... International Joint Conferences on Artificial Intelligence 2020, 2020 | | 2020 |
Dimitris BertsimasBoeing Professor of Operations Research, MIT在 mit.edu 的电子邮件经过验证
