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Sylvio Barbon

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Articles by Sylvio Barbon

[2505.04019] Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest

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By Sylvio Barbon, Luca Longo, Leonardo Arrighi
| arXiv
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[2504.10527] Explainable Artificial Intelligence techniques for interpretation of food datasets: a review

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By de Moraes, Ingrid Alves, Douglas Fernandes, Sylvio Barbon
| arXiv
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[2409.16218] Problem-oriented AutoML in Clustering

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By da Silva, Gabriel Marques, Sylvio Barbon, Matheus Camilo
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2406.06596] Are Large Language Models the New Interface for Data Pipelines?

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By Sylvio Barbon, van Keulen, Paolo Ceravolo, Sven Groppe
| arXiv
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Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles

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By Gabriel Marques, Sylvio Barbon
| arXiv
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Rethinking Defaults Values: a Low Cost and Efficient Strategy to Define Hyperparameters

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By Rafael Gomes, André Luis Debiaso, Jadson Castro, Sylvio Barbon
| arXiv
[Submitted on 31 Jul 2020] Authors:Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho Download PDF Abstract: Machine Learning (ML) algorithms have been successfully employed by a vast range of practitioners with different backgrounds.
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Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms

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By Rafael Gomes, Andre D, Sylvio Barbon, de Carvalho
| arXiv
[Submitted on 5 Dec 2018 ( v1 ), last revised 21 Dec 2023 (this version, v3)] Title:Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms Download a PDF of the paper titled Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms, by Rafael Gomes Mantovani and 6 other authors Download PDF Abstract:Machine learning algorithms often contain many hyperparameters (HPs) whose values...
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