| 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 | 96 | 2021 |
| Integrated multimodal artificial intelligence framework for healthcare applications LR Soenksen, Y Ma, C Zeng, L Boussioux, K Villalobos Carballo, L Na, ... NPJ digital medicine 5 (1), 149, 2022 | 77 | 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 | 13* | 2020 |
| Do neural networks for segmentation understand insideness? K Villalobos, V Štih, A Ahmadinejad, S Sundaram, J Dozier, A Francl, ... Neural Computation 33 (9), 2511-2549, 2021 | 10* | 2021 |
| Robust Upper Bounds for Adversarial Training D Bertsimas, X Boix, KV Carballo, D Hertog arXiv preprint arXiv:2112.09279v2, 2021 | 9* | 2021 |
| 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 | 4* | 2022 |
| Patient outcome predictions improve operations at a large hospital network L Na, KV Carballo, J Pauphilet, A Haddad-Sisakht, D Kombert, ... arXiv preprint arXiv:2305.15629, 2023 | 3 | 2023 |
| Holistic Deep Learning D Bertsimas, K Villalobos Carballo, L Boussioux, ML Li, A Paskov, ... arXiv preprint arXiv:2110.15829v5, 2023 | 3 | 2023 |
| Multistage Stochastic Optimization via Kernels D Bertsimas, KV Carballo arXiv preprint arXiv:2303.06515, 2023 | 1 | 2023 |
| Random Walk Formulation of Learning in Restricted Boltzmann Machines M Vargas, K Villalobos | | 2017 |
