Gama, João

47 publications

MLJ 2025 Histogram Approaches for Imbalanced Data Streams Regression Ehsan Aminian, Rita P. Ribeiro, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

MLOSS 2024 Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

ECML-PKDD 2023 Predictive Maintenance, Adversarial Autoencoders and Explainability Miguel E. P. Silva, Bruno Veloso, João Gama

MLJ 2023 WINTENDED: WINdowed TENsor Decomposition for Densification Event Detection in Time-Evolving Networks Sofia Fernandes, Hadi Fanaee-T, João Gama, Leo Tisljaric, Tomislav Smuc

NeurIPS 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita Ribeiro, João Gama, Pedro Bizarro

ECML-PKDD 2021 Hyper-Parameter Optimization for Latent Spaces Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama

MLJ 2018 A Comparison of Hierarchical Multi-Output Recognition Approaches for Anuran Classification Juan Gabriel Colonna, João Gama, Eduardo Freire Nakamura

ECML-PKDD 2018 Clustering in the Presence of Concept Drift Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama

MLJ 2018 On Analyzing User Preference Dynamics with Temporal Social Networks Fabíola Souza F. Pereira, João Gama, Sandra de Amo, Gina M. B. Oliveira

MLJ 2017 Weightless Neural Networks for Open Set Recognition Douglas de O. Cardoso, João Gama, Felipe M. G. França

ECML-PKDD 2016 Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining Luís Moreira-Matias, João Gama, João Mendes-Moreira

MLJ 2016 Sequential Anomalies: A Study in the Railway Industry Rita P. Ribeiro, Pedro Mota Pereira, João Gama

MLJ 2015 Guest Editors Introduction: Special Issue of the ECMLPKDD 2015 Journal Track Concha Bielza, João Gama, Alípio Jorge, Indre Zliobaite

ECML-PKDD 2015 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge

ECML-PKDD 2015 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares

ECML-PKDD 2013 Adaptive Model Rules from Data Streams Ezilda Almeida, Carlos Abreu Ferreira, João Gama

IJCAI 2013 Learning Model Rules from High-Speed Data Streams Ezilda Almeida, Carlos Abreu Ferreira, João Gama

MLJ 2013 On Evaluating Stream Learning Algorithms João Gama, Raquel Sebastião, Pedro Pereira Rodrigues

IJCAI 2013 On Recommending Urban Hotspots to Find Our Next Passenger Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas

IJCAI 2013 Proceedings of the 3rd Workshop on Ubiquitous Data Mining Co-Located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 3, 2013 João Gama, Michael May, Nuno Cavalheiro Marques, Paulo Cortez, Carlos Abreu Ferreira

ECML-PKDD 2012 Handling Time Changing Data with Adaptive Very Fast Decision Rules Petr Kosina, João Gama

IJCAI 2011 Learning Decision Rules from Data Streams João Gama, Petr Kosina

ICML 2011 Speeding-up Hoeffding-Based Regression Trees with Options Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski

NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models Kuzman Ganchev, Ben Taskar, Fernando Pereira, João Gama

ECML-PKDD 2008 Clustering Distributed Sensor Data Streams Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes

NeurIPS 2007 Expectation Maximization and Posterior Constraints Kuzman Ganchev, Ben Taskar, João Gama

ECML-PKDD 2005 Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo

MLJ 2004 Functional Trees João Gama

MLJ 2004 On Data and Algorithms: Understanding Inductive Performance Alexandros Kalousis, João Gama, Melanie Hilario

ICML 2002 An Analysis of Functional Trees João Gama

MLJ 2000 Cascade Generalization João Gama, Pavel Brazdil

ICML 1999 Discriminant Trees João Gama

ECML-PKDD 1998 Combining Classifiers by Constructive Induction João Gama

ICML 1998 Local Cascade Generalization João Gama

ICML 1997 Probabilistic Linear Tree João Gama

ECML-PKDD 1997 Search-Based Class Discretization Luís Torgo, João Gama

ECML-PKDD 1994 Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning Pavel Brazdil, João Gama, Bob Henery