Read, Jesse

28 publications

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

ECML-PKDD 2025 I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Florent Doquet

MLJ 2024 Autoreplicative Random Forests with Applications to Missing Value Imputation Ekaterina Antonenko, Ander Carreño, Jesse Read

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

MLHC 2023 Which Explanation Makes Sense? a Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo

ECML-PKDD 2022 An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning Alban Puech, Jesse Read

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

JAIR 2021 Classifier Chains: A Review and Perspectives Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano

ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano

ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano

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

MLJ 2020 An Empirical Analysis of Binary Transformation Strategies and Base Algorithms for Multi-Label Learning Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho

ICMLW 2020 Multi-Output Prediction of Global Vegetation Distribution with Incomplete Data Rita Beigaite, Jesse Read, Indre Zliobaite

ECML-PKDD 2019 Assessing the Multi-Labelness of Multi-Label Data Laurence A. F. Park, Yi Guo, Jesse Read

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

ECML-PKDD 2018 A Blended Metric for Multi-Label Optimisation and Evaluation Laurence A. F. Park, Jesse Read

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

ECML-PKDD 2017 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski

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

MLOSS 2016 MEKA: A Multi-label/Multi-Target Extension to WEKA Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes

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 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

MLJ 2011 Classifier Chains for Multi-Label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

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

ECML-PKDD 2009 Classifier Chains for Multi-Label Classification Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank