no code implementations • 21 May 2024 • Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, Joao Gama, Grzegorz J Nalepa
We identified 219 articles related to this topic and formulated five research questions, allowing us to gain a global perspective on current trends and the main research gaps.
1 code implementation • 9 May 2024 • Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
Aequitas Flow is an open-source framework for end-to-end Fair Machine Learning (ML) experimentation in Python.
no code implementations • 21 Apr 2024 • João Gama, Rita P. Ribeiro, Saulo Mastelini, Narjes Davarid, Bruno Veloso
The system can present global explanations for the black box model and local explanations for why the black box model predicts a failure.
no code implementations • 2 Apr 2024 • Matias Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
Illegal landfills are a critical issue due to their environmental, economic, and public health impacts.
no code implementations • 8 Jun 2023 • Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed-Mouchaweh, Lala Rajaoarisoa, Grzegorz J. Nalepa, João Gama
We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
2 code implementations • 24 Nov 2022 • Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
The suite was generated by applying state-of-the-art tabular data generation techniques on an anonymized, real-world bank account opening fraud detection dataset.
no code implementations • 12 Jul 2022 • Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro M. Pereira
The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal.
1 code implementation • 20 Jun 2022 • Aníbal Silva, Rita P. Ribeiro, Nuno Moniz
In this paper, our goal is to study the impacts of using SERA as an optimization criterion in imbalanced regression tasks.
no code implementations • 27 Apr 2016 • Paula Branco, Rita P. Ribeiro, Luis Torgo
The main goal of UBL package is to facilitate the utility-based predictive analytic task by providing a set of methods to deal with this type of problems in the R environment.