Gomes, Heitor Murilo

13 publications

AAAI 2025 Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn

ECML-PKDD 2025 Machine Learning for Data Streams with CapyMOA Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet

MLJ 2024 Gradient Boosted Trees for Evolving Data Streams Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet

ECML-PKDD 2024 Leveraging Plasticity in Incremental Decision Trees Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm

IJCAI 2024 Recurrent Concept Drifts on Data Streams Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh

IJCAI 2024 Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes

MLJ 2023 STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo

IJCAI 2023 Survey on Online Streaming Continual Learning Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet

MLOSS 2021 River: Machine Learning for Streaming Data in Python Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphael Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet

IJCAI 2020 Survey on Feature Transformation Techniques for Data Streams Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes

MLJ 2019 Correction to: Adaptive Random Forests for Evolving Data Stream Classification Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

MLJ 2017 Adaptive Random Forests for Evolving Data Stream Classification Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

ECML-PKDD 2016 On Dynamic Feature Weighting for Feature Drifting Data Streams Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet