| Ridesharing: The state-of-the-art and future directions M Furuhata, M Dessouky, F Ordóñez, ME Brunet, X Wang, S Koenig Transportation Research Part B: Methodological 57, 28-46, 2013 | 1077 | 2013 |
| Understanding the origins of bias in word embeddings ME Brunet, C Alkalay-Houlihan, A Anderson, R Zemel International conference on machine learning, 803-811, 2019 | 184 | 2019 |
| Relatif: Identifying explanatory training samples via relative influence E Barshan, ME Brunet, GK Dziugaite International Conference on Artificial Intelligence and Statistics, 1899-1909, 2020 | 60 | 2020 |
| Online cost-sharing mechanism design for demand-responsive transport systems M Furuhata, K Daniel, S Koenig, F Ordonez, M Dessouky, ME Brunet, ... IEEE Transactions on Intelligent Transportation Systems 16 (2), 692-707, 2014 | 41 | 2014 |
| A coherent laser Doppler wind profiler for the active control of wind turbines L Shinohara, S Bogatscher, N Heussner, H Umesh-Babu, M Brunet, ... Solid State Lasers XXI: Technology and Devices 8235, 259-270, 2012 | 5 | 2012 |
| Assessing AI fairness in finance L McCalman, D Steinberg, G Abuhamad, ME Brunet, RC Williamson, ... Computer 55 (1), 94-97, 2022 | 3 | 2022 |
| Implications of Model Indeterminacy for Explanations of Automated Decisions ME Brunet, A Anderson, R Zemel Advances in Neural Information Processing Systems 35, 7810-7823, 2022 | 2 | 2022 |
| Systems and methods for identifying influential training data points E Barshan, M Brunet US Patent 11,593,673, 2023 | | 2023 |
| Online Cost-Sharing Mechanism Design for Demand-Responsive Transport Systems F Ordónez, M Dessouky, ME Brunet, L Cohen, X Wang | | |
Fernando OrdonezIndustrial Engineering, Universidad de ChileVerified email at dii.uchile.cl
