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Pedro Saleiro

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Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints

Mar 21, 2024
Jean V. Alves, Diogo Leitão, Sérgio Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

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DiConStruct: Causal Concept-based Explanations through Black-Box Distillation

Jan 26, 2024
Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

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FiFAR: A Fraud Detection Dataset for Learning to Defer

Dec 20, 2023
Jean V. Alves, Diogo Leitão, Sérgio Jesus, Marco O. P. Sampaio, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

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Fairness-Aware Data Valuation for Supervised Learning

Mar 29, 2023
José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

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A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

Feb 15, 2023
Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

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Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation

Nov 28, 2022
Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro

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LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering

Oct 25, 2022
Mário Cardoso, Pedro Saleiro, Pedro Bizarro

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FairGBM: Gradient Boosting with Fairness Constraints

Sep 19, 2022
André F Cruz, Catarina Belém, João Bravo, Pedro Saleiro, Pedro Bizarro

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Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions

Jul 13, 2022
José Pombal, André F. Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

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