Bifet, Albert

47 publications

TMLR 2025 BELLA: Black-Box Model Explanations by Local Linear Approximations Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek

ICML 2025 Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO* Ayman Chaouki, Jesse Read, Albert Bifet

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

TMLR 2025 Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the past Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet

AutoML 2024 ASML: A Scalable and Efficient AutoML Solution for Data Streams Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri

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

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite

ICML 2024 Online Isolation Forest Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi

AISTATS 2024 Online Learning of Decision Trees with Thompson Sampling Ayman Chaouki, Jesse Read, Albert Bifet

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

ECML-PKDD 2023 FG2AN: Fairness-Aware Graph Generative Adversarial Networks Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang

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

NeurIPS 2022 A Simple but Strong Baseline for Online Continual Learning: Repeated Augmented Rehearsal Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia

MLJ 2022 Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson

NeurIPS 2022 Linear Tree Shap Peng Yu, Albert Bifet, Jesse Read, Chao Xu

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

ECML-PKDD 2021 Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Jin Sean Lim

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

MLOSS 2018 Scikit-Multiflow: A Multi-Output Streaming Framework Jacob Montiel, Jesse Read, Albert Bifet, 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

ACML 2016 Echo State Hoeffding Tree Learning Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguade, José Herrero

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

ECML-PKDD 2015 Drift Detection Using Stream Volatility David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet

MLJ 2015 Evaluation Methods and Decision Theory for Classification of Streaming Data with Temporal Dependence Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes

ECML-PKDD 2015 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou

MLOSS 2015 SAMOA: Scalable Advanced Massive Online Analysis Gianmarco De Francisci Morales, Albert Bifet

ECML-PKDD 2013 Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes

MLJ 2012 Scalable and Efficient Multi-Label Classification for Evolving Data Streams Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

ECML-PKDD 2011 Active Learning with Evolving Streaming Data Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes

ECML-PKDD 2011 MOA: A Real-Time Analytics Open Source Framework Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

ACML 2010 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees Using Stacking Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

ECML-PKDD 2010 Leveraging Bagging for Evolving Data Streams Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer

MLOSS 2010 MOA: Massive Online Analysis Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer

MLJ 2010 Mining Frequent Closed Rooted Trees José L. Balcázar, Albert Bifet, Antoni Lozano

ECML-PKDD 2009 Adaptive XML Tree Classification on Evolving Data Streams Albert Bifet, Ricard Gavaldà