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ConceptDistil: Model-Agnostic Distillation of Concept Explanations



João Bento Sousa , Ricardo Moreira , Vladimir Balayan , Pedro Saleiro , Pedro Bizarro

* ICLR 2022 PAIR2Struct Workshop 

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Weakly Supervised Multi-task Learning for Concept-based Explainability



Catarina Belém , Vladimir Balayan , Pedro Saleiro , Pedro Bizarro

* Accepted at ICLR 2021 Workshop on Weakly Supervised Learning (WeaSuL) 

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Promoting Fairness through Hyperparameter Optimization



André F. Cruz , Pedro Saleiro , Catarina Belém , Carlos Soares , Pedro Bizarro

* arXiv admin note: substantial text overlap with arXiv:2010.03665 

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How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations



Sérgio Jesus , Catarina Belém , Vladimir Balayan , João Bento , Pedro Saleiro , Pedro Bizarro , João Gama

* Accepted at FAccT'21, the ACM Conference on Fairness, Accountability, and Transparency 

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TimeSHAP: Explaining Recurrent Models through Sequence Perturbations



João Bento , Pedro Saleiro , André F. Cruz , Mário A. T. Figueiredo , Pedro Bizarro

* NeurIPS 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies 

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Teaching the Machine to Explain Itself using Domain Knowledge



Vladimir Balayan , Pedro Saleiro , Catarina Belém , Ludwig Krippahl , Pedro Bizarro


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A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization



André F. Cruz , Pedro Saleiro , Catarina Belém , Carlos Soares , Pedro Bizarro


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Aequitas: A Bias and Fairness Audit Toolkit



Pedro Saleiro , Benedict Kuester , Abby Stevens , Ari Anisfeld , Loren Hinkson , Jesse London , Rayid Ghani

* Aequitas website: http://dsapp.uchicago.edu/aequitas 

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SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets



João Oliveira , Mike Pinto , Pedro Saleiro , Jorge Teixeira


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