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Léonard Boussioux
Léonard Boussioux
Assistant Professor of Information Systems & OM @University of Washington, PhD @MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
972021
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
66*2022
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L Boussioux, C Zeng, T Guénais, D Bertsimas
Weather and Forecasting, 2022
392022
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
26*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
7*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
72020
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
L Boussioux, J N Lane, M Zhang, V Jacimovic, KR Lakhani
Harvard Business School, 2023
5*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
42020
Holistic deep learning
D Bertsimas, K Villalobos Carballo, L Boussioux, ML Li, A Paskov, ...
Machine Learning, 1-25, 2023
22023
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
2*2022
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
22019
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
12023
Ensemble modeling for time series forecasting: an adaptive robust optimization approach
D Bertsimas, L Boussioux
arXiv preprint arXiv:2304.04308, 2023
12023
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
12021
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
12020
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
12019
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
2024
Leveraging AI for Natural Disaster Management: Takeaways From The Moroccan Earthquake
MS Hackathon
arXiv preprint arXiv:2311.08999, 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
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