Kit Rodolfa
AuthID: R-00K-YT1
1
TÃTULO: On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AUTORES: Amarasinghe, Kasun; Rodolfa, Kit T.; Jesus, Sergio; Chen, Valerie; Balayan, Vladimir; Saleiro, Pedro; Bizarro, Pedro; Talwalkar, Ameet; Ghani, Rayid;
PUBLICAÇÃO: 2024, FONTE: 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence in THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 19
AUTORES: Amarasinghe, Kasun; Rodolfa, Kit T.; Jesus, Sergio; Chen, Valerie; Balayan, Vladimir; Saleiro, Pedro; Bizarro, Pedro; Talwalkar, Ameet; Ghani, Rayid;
PUBLICAÇÃO: 2024, FONTE: 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence in THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 19
INDEXADO EM: 
WOS 
DBLP
WOS DBLP2
TÃTULO: On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AUTORES: Kasun Amarasinghe; Kit Rodolfa; Sérgio Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani;
PUBLICAÇÃO: 2024, FONTE: 38th AAAI Conference on Artificial Intelligence, AAAI 2024 in Proceedings of the AAAI Conference on Artificial Intelligence, VOLUME: 38, NÚMERO: 19
AUTORES: Kasun Amarasinghe; Kit Rodolfa; Sérgio Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani;
PUBLICAÇÃO: 2024, FONTE: 38th AAAI Conference on Artificial Intelligence, AAAI 2024 in Proceedings of the AAAI Conference on Artificial Intelligence, VOLUME: 38, NÚMERO: 19
INDEXADO EM: 
Scopus
Scopus3
TÃTULO: Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial
AUTORES: Rayid Ghani; Kit T Rodolfa; Pedro Saleiro; Sérgio M Jesus;
PUBLICAÇÃO: 2023, FONTE: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023
AUTORES: Rayid Ghani; Kit T Rodolfa; Pedro Saleiro; Sérgio M Jesus;
PUBLICAÇÃO: 2023, FONTE: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023
INDEXADO EM: DBLP
DBLP