Bizarro, Pedro

13 publications

ECML-PKDD 2025 Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection Ricardo Ribeiro Pereira, Jacopo Bono, Hugo M. Ferreira, Pedro Ribeiro, Carlos Soares, Pedro Bizarro

MLOSS 2024 Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

TMLR 2024 Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean Vieira Alves, Diogo Leitão, Sérgio Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mario A. T. Figueiredo, Pedro Bizarro

TMLR 2024 Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs Ahmad Naser Eddin, Jacopo Bono, David Oliveira Aparicio, Hugo Ferreira, Pedro Manuel Pinto Ribeiro, Pedro Bizarro

CLeaR 2024 DiConStruct: Causal Concept-Based Explanations Through Black-Box Distillation Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

TMLR 2024 Mind the Truncation Gap: Challenges of Learning on Dynamic Graphs with Recurrent Architectures João Bravo, Jacopo Bono, Hugo Ferreira, Pedro Saleiro, Pedro Bizarro

AAAI 2024 On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

ICLR 2023 FairGBM: Gradient Boosting with Fairness Constraints André Cruz, Catarina G Belém, João Bravo, Pedro Saleiro, Pedro Bizarro

ICLRW 2023 Fairness-Aware Data Valuation for Supervised Learning José Pombal, Pedro Saleiro, Mario A. T. Figueiredo, Pedro Bizarro

ICLRW 2022 ConceptDistil: Model-Agnostic Distillation of Concept Explanations João Pedro Bento Sousa, Ricardo Miguel de Oliveira Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro

NeurIPS 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita Ribeiro, João Gama, Pedro Bizarro

NeurIPSW 2020 Teaching the Machine to Explain Itself Using Domain Knowledge Vladimir Balayan, Pedro Saleiro, Catarina Belém, Ludwig Krippahl, Pedro Bizarro

NeurIPSW 2020 TimeSHAP: Explaining Recurrent Models Through Sequence Perturbations João Sousa, Pedro Saleiro, André F. Cruz, Mario A. T. Figueiredo, Pedro Bizarro