"Machine Learning in Oncology: Methods, Applications, and Challenges."

Bertsimas, Dimitris, and Holly Wiberg. JCO Clinical Cancer Informatics Vol. 4, (2020): 885-894. Download Paper.

"Machine Learning and Natural Language Processing Methods to Identify Ischemic Stroke, Acuity and Location from Radiology Reports."

Ong, Charlene Jennifer, Agni Orfanoudaki, Rebecca Zhang, Francois Pierre M. Caprasse, Meghan Hutch, Liang Ma, Darian Fard, Oluwafemi Balogun, Matthew I. Miller, Margaret Minnig, Hanife Saglam, Brenton Prescott, David M. Greer, Stelios Smirnakis, and Dimitris Bertsimas. PLOS ONE Vol. 15, No. 6 (2020): e0234908. Download Paper.

"Stochastic Optimization in Supply Chain Networks: Averaging Robust Solutions."

Bertsimas, Dimitris, and Nataly Youssef. Optimization Letters Vol. 14, No. 4 (2020): 839-855.

"Balancing Efficiency and Fairness in Liver Transplant Access: Tradeoff Curves for the Assessment of Organ Distribution Policies."

Bertsimas, Dimitris, Theodore Papalexopoulos, Nikolaos Trichakis, Yuchen Wang, Ryutaro Hirose, Parsia Vagefi. Transplantation Vol. 104, No. 5 (2020): 981-987. github Supplement.

"Certifiably Optimal Sparse Inverse Covariance Estimation."

Bertsimas, Dimitris, Jourdain Lamperski, and Jean Pauphilet. Mathematical Programming Vol. 181, No. 1 (2020): 491-530.

"Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms."

Bertsimas, Dimitris, and Bradley Sturt. Operations Research Vol. 68, No. 3 (2020): 949-964.