| Marrying fairness and explainability in supervised learning PA Grabowicz, N Perello, A Mishra Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 44 | 2022 |
| On optimizing interventions in shared autonomy W Tan, D Koleczek, S Pradhan, N Perello, V Chettiar, V Rohra, A Rajaram, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5341-5349, 2022 | 5 | 2022 |
| Towards an AI accountability policy P Grabowicz, N Perello, Y Zick arXiv preprint arXiv:2307.13658, 2023 | 3 | 2023 |
| Intervention Aware Shared Autonomy W Tan, D Koleczek, S Pradhan, N Perello, V Chettiar, N Ma, A Rajaram, ... | 3 | 2021 |
| Resilience of Supervised Learning Algorithms to Discriminatory Data Perturbations PA Grabowicz, N Perello, K Takatsu Online verfügbar unter https://arxiv. org/pdf, 1912 | 2 | 1912 |
| Learning from Discriminatory Training Data P Grabowicz, N Perello, K Takatsu Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 752-763, 2023 | | 2023 |
| Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data P Grabowicz, N Perello EasyChair, 2021 | | 2021 |
| Simple Steps to Success: A Method for Step-Based Counterfactual Explanations J Hamer, N Perello, J Valladares, V Viswanathan, Y Zick Transactions on Machine Learning Research, 0 | | |
Przemyslaw A. GrabowiczAssistant Professor of Computer Science; University College Dublin & UMass AmherstAdresse e-mail validée de cs.umass.edu
