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Lucas F. F. Cardoso

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affiliation: Universidade Federal do Pará, Belem, Brazil

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2022
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Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle P. Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Explanation-by-Example Based on Item Response Theory. BRACIS (1) 2022: 283-297
2021
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José de S. Ribeiro, Raíssa Lorena Silva da Silva, Lucas F. F. Cardoso, Ronnie Alves:
Does Dataset Complexity Matters for Model Explainers? IEEE BigData 2021: 5257-5265
2020
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Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Decoding Machine Learning Benchmarks. BRACIS (2) 2020: 412-425

Informal and Other Publications

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2022
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Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle P. Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Explanation-by-Example Based on Item Response Theory. CoRR abs/2210.01638 (2022)
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José de S. Ribeiro, Lucas F. F. Cardoso, Raíssa Lorena Silva da Silva, Vitor Cirilo Araujo Santos, Níkolas Carneiro, Ronnie Alves:
Global Explanation of Tree-Ensembles Models Based on Item Response Theory. CoRR abs/2210.09933 (2022)
2021
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Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Data vs classifiers, who wins? CoRR abs/2107.07451 (2021)
2020
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  - journals/corr/abs-2007-14870
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Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Decoding machine learning benchmarks. CoRR abs/2007.14870 (2020)

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