João Gama

499 papers A* 17A 10B 55C 12Misc 48Journal 192Unranked 118
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-stage framework for early failure detection in predictive maintenance: A case study on metro trains.
Neurocomputing
Luis Toribio, Bruno Veloso, João Gama, Amelia Zafra
2026 J jnl
Building of transformer-based RUL predictors supported by explainability techniques: Application on real industrial datasets.
Inf. Fusion
Ricardo Dintén, Marta E. Zorrilla, Bruno Veloso, João Gama
2026 B conf
Conditional Motif-Based Graph Convolutional Network for Anomaly Detection in the Waste Management Network.
IDA
Sara Oliveira, Shazia Tabassum, João Gama, Ana Garcia, Pedro Santana
2026 A* conf
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices.
AAAI
Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros
2026 J jnl
Fish swarm parameter self-tuning for data streams.
Data Min. Knowl. Discov.
Bruno Veloso, Hugo de Andrade Amorim Neto, Fernando Buarque, João Gama
2026 — conf
In-context Learning of Evolving Data Streams with Tabular Foundational Models.
KDD (1)
Afonso Lourenço, João Gama, Eric P. Xing, Goreti Marreiros
2026 J jnl
Interpretable rules for online failure prediction: a case study on metro do porto datasets.
Int. J. Data Sci. Anal.
Matthias Jakobs, Bruno Veloso, João Gama
2026 — ed.
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
ECML/PKDD (9)
Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
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
ECML/PKDD (10)
Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I
ECML/PKDD (1)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
ECML/PKDD (2)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III
ECML/PKDD (3)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV
ECML/PKDD (4)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V
ECML/PKDD (5)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI
ECML/PKDD (6)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII
ECML/PKDD (7)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
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
ECML/PKDD (8)
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
2026 A* conf
Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint).
AAAI
Marcos Vinicius Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery, João Gama, Albert Bifet, Ricardo Araújo Rios
2026 J jnl
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
2025 J jnl
A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios.
CoRR
Pedro Reis, Ana Paula Serra, João Gama
2025 J jnl
A Systematic Literature Review on Multi-label Data Stream Classification.
CoRR
H. Freire-Oliveira, Elaine Ribeiro de Faria, João Gama, Latifur Khan, Ricardo Cerri
2025 J jnl
A Systematic Review on Long-Tailed Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama
2025 J jnl
A robust methodology for long-term sustainability evaluation of Machine Learning models.
CoRR
Jorge Paz-Ruza, João Gama, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2025 J jnl
Bridging Streaming Continual Learning via In-Context Large Tabular Models.
CoRR
Afonso Lourenço, João Gama, Eric P. Xing, Goreti Marreiros
2025 J jnl
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices.
CoRR
Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros
2025 — ed.
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII
PAKDD (7)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025 — ed.
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI
PAKDD (6)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025 J jnl
Decision-making systems improvement based on explainable artificial intelligence approaches for predictive maintenance.
Eng. Appl. Artif. Intell.
Lala H. Rajaoarisoa, Raubertin Randrianandraina, Grzegorz J. Nalepa, João Gama
2025 Misc conf
Efficient Instance Selection in Tree-Based Models for Data Streams Classification.
SAC
Aldo Marcelo Paim, João Gama, Bruno Veloso, Fabrício Enembreck, Rita P. Ribeiro
2025 B conf
Fed-VFDT: Federated Very Fast Decision Trees with Coordinated Splitting Over Data Streams.
ICTAI
Paula Raissa Silva, João Vinagre, João Gama
2025 B conf
Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification.
DS
Joana Santos, Nuno Silva, Carlos Ferreira, João Gama
2025 J jnl
Histogram approaches for imbalanced data streams regression.
CoRR
Ehsan Aminian, João Gama, Rita P. Ribeiro
2025 J jnl
Histogram approaches for imbalanced data streams regression.
Mach. Learn.
Ehsan Aminian, Rita P. Ribeiro, João Gama
2025 J jnl
In-context learning of evolving data streams with tabular foundational models.
CoRR
Afonso Lourenço, João Gama, Eric P. Xing, Goreti Marreiros
2025 — conf
Interpretable Predictive Maintenance: Combining Anomaly Detection with Quantitative Root Cause Analysis.
EPIA (2)
Inês Barbosa, João Gama, Bruno Veloso
2025 J jnl
Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset.
CoRR
Matthias Jakobs, Bruno Veloso, João Gama
2025 J jnl
Modeling events and interactions through temporal processes: A survey.
Neurocomputing
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2025 J jnl
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems.
Trans. Recomm. Syst.
Luciano Caroprese, Francesco Sergio Pisani, Bruno Miguel Veloso, Matthias König, Giuseppe Manco, Holger H. Hoos, João Gama
2025 J jnl
Network-based Anomaly Detection in Waste Transportation Data with Limited Supervision.
Appl. Netw. Sci.
Nirbhaya Shaji, Shazia Tabassum, Rita P. Ribeiro, João Gama, Joana Gorgulho, Ana Garcia, Pedro Santana
2025 J jnl
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery.
CoRR
Chongsheng Zhang, Shuwen Wu, Yingqi Chen, Matthias Aßenmacher, Christian Heumann, Yi Men, Gaojuan Fan, João Gama
2025 J jnl
On-device edge learning for IoT data streams: a survey.
CoRR
Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros
2025 Misc conf
Online Learning from Capricious Data streams with Flexible Hoeffding Tree.
SAC
Ruirui Zhao, Jianbin Sun, João Gama, Jiang Jiang
2025 J jnl
Online learning from drifting capricious data streams with flexible Hoeffding tree.
Inf. Process. Manag.
Ruirui Zhao, Yaqian You, Jianbin Sun, João Gama, Jiang Jiang
2025 J jnl
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams.
Data Min. Knowl. Discov.
Ruivaldo Lobão-Neto, Brenno de Mello Alencar, Heitor Murilo Gomes, Albert Bifet, João Gama, Guilherme Weigert Cassales, Ricardo Araújo Rios
2025 J jnl
The Role of Deep Learning in Financial Asset Management: A Systematic Review.
CoRR
Pedro Reis, Ana Paula Serra, João Gama
2025 B conf
Unveiling Fairness and Performance of Causal Discovery.
DSAA
Sónia Teixeira, Ana Rita Nogueira, João Gama
2024 J jnl
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.
CoRR
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 J jnl
A Systematic Review on Long-Tailed Learning.
CoRR
Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama
2024 J jnl
AI's effect on innovation capacity in the context of industry 5.0: a scoping review.
Artif. Intell. Rev.
Adrien Bécue, João Gama, Pedro Quelhas Brito
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
CoRR
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
J. Mach. Learn. Res.
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey.
CoRR
Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, João Gama, Grzegorz J. Nalepa
2024 — conf
Community-Based Topic Modeling with Contextual Outlier Handling.
CAEPIA
César Andrade, Rita P. Ribeiro, João Gama
2024 — conf
Deep Neural Network Model Compression and Signal Processing.
ICASSP Workshops
Arijit Ukil, Angshul Majumdar, Antonio J. Jara, João Gama
2024 — conf
Early Failure Detection for Air Production Unit in Metro Trains.
HAIS (1)
Amelia Zafra, Bruno Veloso, João Gama
2024 — conf
Emotion-Enhanced Pain Assessment Protocol.
HAR
Bruna Alves, Ana Almeida, Catarina Silva, Daniela Pais, Rita P. Ribeiro, João Gama, José Maria Fernandes, Susana Brás, Raquel Sebastião
2024 — conf
Evaluating Short Text Stream Clustering on Large E-commerce Datasets.
BRACIS (3)
César Andrade, Rita P. Ribeiro, João Gama
2024 A conf
Federated Online Learning for Heavy Hitter Detection.
ECAI
Paula Raissa Silva, João Vinagre, João Gama
2024 J jnl
Forecasting financial market structure from network features using machine learning.
Knowl. Inf. Syst.
Douglas Castilho, Thársis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
2024 J jnl
From fault detection to anomaly explanation: A case study on predictive maintenance.
J. Web Semant.
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 J jnl
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach.
Data Min. Knowl. Discov.
Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
2024 A conf
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.
ECAI
Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama
2024 — conf
Next Location Prediction with Time-Evolving Markov Models over Data Streams.
EPIA (3)
Thiago Andrade, João Gama
2024 — conf
One-Class Learning for Data Stream Through Graph Neural Networks.
BRACIS (4)
Marcos Paulo Silva Gôlo, João Gama, Ricardo Marcondes Marcacini
2024 — conf
Online News Classification Using Large Language Models with Semantic Enrichment.
EKAW (Companion)
Joana Santos, Nuno Silva, Carlos Ferreira, João Gama
2024 — conf
Recent Advances in Learning from Data Streams.
IC3K
João Gama
2024 — conf
S+t-SNE - Bringing Dimensionality Reduction to Data Streams.
IDA (2)
Pedro C. Vieira, João P. Montrezol, João T. Vieira, João Gama
2024 J jnl
S+t-SNE - Bringing dimensionality reduction to data streams.
CoRR
Pedro C. Vieira, João P. Montrezol, João T. Vieira, João Gama
2024 J jnl
SWINN: Efficient nearest neighbor search in sliding windows using graphs.
Inf. Fusion
Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2024 — conf
Super-Resolution Analysis for Landfill Waste Classification.
IDA (1)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2024 J jnl
Super-Resolution Analysis for Landfill Waste Classification.
CoRR
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2024 — conf
Towards Evaluation of Explainable Artificial Intelligence in Streaming Data.
xAI (4)
Maciej Mozolewski, Szymon Bobek, Rita P. Ribeiro, Grzegorz J. Nalepa, João Gama
2024 J jnl
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning.
CoRR
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
2024 Misc conf
Where Do We Go From Here? Location Prediction from Time-Evolving Markov Models.
SAC
Thiago Andrade, João Gama
2023 Misc conf
A DTW Approach for Complex Data A Case Study with Network Data Streams.
SAC
Paula Raissa Silva, João Vinagre, João Gama
2023 — conf
Anomaly Detection in Pet Behavioural Data.
PKDD/ECML Workshops (2)
Inês Oliveira e Silva, Rita P. Ribeiro, João Gama
2023 J jnl
Bayesian Federated Learning: A Survey.
CoRR
Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar
2023 — conf
Data Science for Fighting Environmental Crime.
PKDD/ECML Workshops (2)
Marta Barbosa, Carolina Ribeiro, Filipe Gomes, Rita P. Ribeiro, João Gama
2023 J jnl
Data-driven predictive maintenance framework for railway systems.
Intell. Data Anal.
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
2023 B ed.
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
DS
Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu
2023 B conf
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals.
DS
Rafael M. Mamede, Nuno Paiva, João Gama
2023 Misc conf
Estimating Instantaneous Vehicle Emissions.
SAC
Thiago Andrade, João Gama
2023 J jnl
Explainable Predictive Maintenance.
CoRR
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed-Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama
2023 — conf
Fairness Analysis in Causal Models: An Application to Public Procurement.
PKDD/ECML Workshops (2)
Sónia Teixeira, Ana Rita Nogueira, João Gama
2023 J jnl
Guest Editorial: Special Issue on Stream Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
2023 A conf
Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond.
CIKM
Arijit Ukil, João Gama, Antonio J. Jara, Leandro Marín
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 J jnl
Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2023 J jnl
Novelty detection for multi-label stream classification under extreme verification latency.
Appl. Soft Comput.
Joel D. Costa, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2023 B conf
Online Influence Forest for Streaming Anomaly Detection.
IDA
Inês Martins, João S. Resende, João Gama
2023 — conf
Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis.
EPIA (1)
Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, João Gama
2023 — conf
Predictive Maintenance, Adversarial Autoencoders and Explainability.
ECML/PKDD (7)
Miguel E. P. Silva, Bruno Veloso, João Gama
2023 J jnl
Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs.
Expert Syst. J. Knowl. Eng.
Shazia Tabassum, João Gama, Paulo J. Azevedo, Mário Cordeiro, Carlos Martins, Andre Martins
2023 — conf
Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions.
EPIA (1)
César Andrade, Rita P. Ribeiro, João Gama
2023 J jnl
Towards federated learning: An overview of methods and applications.
WIREs Data. Mining. Knowl. Discov.
Paula Raissa Silva, João Vinagre, João Gama
2023 J jnl
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks.
Mach. Learn.
Sofia Fernandes, Hadi Fanaee-T, João Gama, Leo Tisljaric, Tomislav Smuc
2023 B conf
Which Way to Go - Finding Frequent Trajectories Through Clustering.
DS
Thiago Andrade, João Gama
2023 — conf
Why Industry 5.0 Needs XAI 2.0?
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
2023 A* conf
XAI for Predictive Maintenance.
KDD
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
2022 J jnl
A Benchmark dataset for predictive maintenance.
CoRR
Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira
2022 B conf
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
IDA
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I
PAKDD (1)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II
PAKDD (2)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III
PAKDD (3)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 C conf
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps.
ICMLA
Ricardo Cerri, Elaine R. Faria, João Gama
2022 — conf
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance.
ICEGOV
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
2022 — conf
An Online Data-Driven Predictive Maintenance Approach for Railway Switches.
PKDD/ECML Workshops (2)
Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama
2022 B conf
Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph.
IDA
Nirbhaya Shaji, João Gama, Rita P. Ribeiro, Pedro Gomes
2022 J jnl
Contextualization for the Organization of Text Documents Streams.
CoRR
Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil
2022 J jnl
Data-Driven Predictive Maintenance.
IEEE Intell. Syst.
João Gama, Rita P. Ribeiro, Bruno Veloso
2022 — conf
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach.
PKDD/ECML Workshops (1)
Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama
2022 — conf
Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data.
PKDD/ECML Workshops (1)
Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, João Gama
2022 — conf
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.
PKDD/ECML Workshops (2)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama
2022 J jnl
Federated Anomaly Detection over Distributed Data Streams.
CoRR
Paula Raissa Silva, João Vinagre, João Gama
2022 J jnl
Host-based IDS: A review and open issues of an anomaly detection system in IoT.
Future Gener. Comput. Syst.
Inês Martins, João S. Resende, Patrícia R. Sousa, Simão Silva, Luis Antunes, João Gama
2022 Misc conf
How are you Riding? Transportation Mode Identification from Raw GPS Data.
EPIA
Thiago Andrade, João Gama
2022 J jnl
Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design.
ERCIM News
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
2022 J jnl
Methods and tools for causal discovery and causal inference.
WIREs Data Mining Knowl. Discov.
Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama
2022 — conf
Online Anomaly Explanation: A Case Study on Predictive Maintenance.
PKDD/ECML Workshops (2)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
2022 J jnl
Open challenges for Machine Learning based Early Decision-Making research.
CoRR
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
2022 J jnl
Open challenges for Machine Learning based Early Decision-Making research.
SIGKDD Explor.
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
2022 J jnl
Semi-causal decision trees.
Prog. Artif. Intell.
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
2022 — conf
Study on Correlation Between Vehicle Emissions and Air Quality in Porto.
PKDD/ECML Workshops (1)
Nirbhaya Shaji, Thiago Andrade, Rita P. Ribeiro, João Gama
2022 Misc conf
Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis.
EPIA
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
2022 A* conf
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
NeurIPS
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2022 J jnl
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
CoRR
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2021 J jnl
A Survey on Data-Driven Predictive Maintenance for the Railway Industry.
Sensors
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2021 Misc conf
A new self-organizing map based algorithm for multi-label stream classification.
SAC
Ricardo Cerri, Joel David Costa Júnior, Elaine R. Faria, João Gama
2021 B ed.
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings
IDA
Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama
2021 B conf
An Analysis of Performance Metrics for Imbalanced Classification.
DS
Jean-Gabriel Gaudreault, Paula Branco, João Gama
2021 J jnl
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities.
Artif. Intell. Rev.
Adrien Bécue, Isabel Praça, João Gama
2021 J jnl
Chebyshev approaches for imbalanced data streams regression models.
Data Min. Knowl. Discov.
Ehsan Aminian, Rita P. Ribeiro, João Gama
2021 — conf
Current Trends in Learning from Data Streams.
BDA
João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
2021 J jnl
Data stream analysis: Foundations, major tasks and tools.
WIREs Data Mining Knowl. Discov.
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
2021 Misc conf
Dynamic Topic Modeling Using Social Network Analytics.
EPIA
Shazia Tabassum, João Gama, Paulo Azevedo, Luis Teixeira, Carlos Martins, Andre Martins
2021 J jnl
Forecasting Financial Market Structure from Network Features using Machine Learning.
CoRR
Douglas Castilho, Thársis Tuani Pinto Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
2021 Misc conf
Generalised Partial Association in Causal Rules Discovery.
EPIA
Ana Rita Nogueira, Carlos Ferreira, João Gama, Alberto A. Pinto
2021 J jnl
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations.
CoRR
Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
2021 — conf
How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations.
FAccT
Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
2021 — conf
Hyper-parameter Optimization for Latent Spaces.
ECML/PKDD (3)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
2021 J jnl
Hyperparameter self-tuning for data streams.
Inf. Fusion
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2021 — conf
Improving Smart Waste Collection Using AutoML.
PKDD/ECML Workshops (2)
Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 Misc conf
Modelling Voting Behaviour During a General Election Campaign Using Dynamic Bayesian Networks.
EPIA
Patrício Costa, Ana Rita Nogueira, João Gama
2021 J jnl
Multi-aspect renewable energy forecasting.
Inf. Sci.
Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama
2021 B conf
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.
DSAA
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama
2021 J jnl
Statistically Robust Evaluation of Stream-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng.
João Vinagre, Alípio Mário Jorge, Conceição Rocha, João Gama
2021 J jnl
Tensor decomposition for analysing time-evolving social networks: an overview.
Artif. Intell. Rev.
Sofia Fernandes, Hadi Fanaee-T, João Gama
2021 J jnl
Text documents streams with improved incremental similarity.
Soc. Netw. Anal. Min.
Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama
2021 J jnl
Using network features for credit scoring in microfinance.
Int. J. Data Sci. Anal.
Paulo Paraíso, Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
2020 J jnl
A drift detection method based on dynamic classifier selection.
Data Min. Knowl. Discov.
Felipe Azevedo Pinage, Eulanda Miranda dos Santos, João Gama
2020 J jnl
A scalable saliency-based feature selection method with instance-level information.
Knowl. Based Syst.
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
2020 B conf
Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features.
DS
Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
2020 — conf
AutoML for Stream k-Nearest Neighbors Classification.
IEEE BigData
Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama
2020 J jnl
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks.
IEEE Trans. Knowl. Data Eng.
Amal Saadallah, Luís Moreira-Matias, Ricardo Teixeira Sousa, Jihed Khiari, Erik Jenelius, João Gama
2020 — conf
Detecting Geographical Competitive Structure for POI Visit Dynamics.
COMPLEX NETWORKS (2)
Teru Fujii, Masahito Kumano, João Gama, Masahiro Kimura
2020 J jnl
Discovering locations and habits from human mobility data.
Ann. des Télécommunications
Thiago Andrade, Brais Cancela, João Gama
2020 — ed.
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
PKDD/ECML Workshops
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020 — conf
Failure Detection of an Air Production Unit in Operational Context.
IoT Streams/ITEM@PKDD/ECML
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2020 Misc conf
Fraud detection using heavy hitters: a case study.
SAC
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2020 J jnl
From mobility data to habits and common pathways.
Expert Syst. J. Knowl. Eng.
Thiago Andrade, Brais Cancela, João Gama
2020 Misc conf
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform.
PAAMS
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama
2020 B conf
Improving Prediction with Causal Probabilistic Variables.
IDA
Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira
2020 J jnl
Interconnect bypass fraud detection: a case study.
Ann. des Télécommunications
Bruno Veloso, Shazia Tabassum, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2020 — ed.
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers
IoT Streams/ITEM@PKDD/ECML
João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
2020 J jnl
IoT data stream analytics.
Ann. des Télécommunications
Albert Bifet, João Gama
2020 J jnl
Learning under Concept Drift: A Review.
CoRR
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
2020 J jnl
NORMO: A new method for estimating the number of components in CP tensor decomposition.
Eng. Appl. Artif. Intell.
Sofia Fernandes, Hadi Fanaee-T, João Gama
2020 J jnl
On fast and scalable recurring link's prediction in evolving multi-graph streams.
Netw. Sci.
Shazia Tabassum, Bruno Veloso, João Gama
2020 — ed.
Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019.
BigMine@KDD
Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira
2020 J jnl
Profiling high leverage points for detecting anomalous users in telecom data networks.
Ann. des Télécommunications
Shazia Tabassum, Muhammad Ajmal Azad, João Gama
2020 — conf
Self Hyper-parameter Tuning for Stream Classification Algorithms.
IoT Streams/ITEM@PKDD/ECML
Bruno Veloso, João Gama
2020 B conf
Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method.
DS
Leo Tisljaric, Sofia Fernandes, Tonci Caric, João Gama
2020 J jnl
Trustability in Algorithmic Systems Based on Artificial Intelligence in the Public and Private Sectors.
ERCIM News
Sónia Teixeira, João Gama, Pedro Amorim, Gonçalo Figueira
2020 B conf
Using Network Features for Credit Scoring in MicroFinance: Extended Abstract.
DSAA
Paulo Paraíso, Pedro Gomes, Saulo Ruiz, Luís Rodrigues, João Gama
2019 — conf
A Study on Imbalanced Data Streams.
PKDD/ECML Workshops (2)
Ehsan Aminian, Rita P. Ribeiro, João Gama
2019 J jnl
A scalable saliency-based Feature selection method with instance level information.
CoRR
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
2019 J jnl
Adapting ClusTree for more challenging data stream environments.
J. Intell. Fuzzy Syst.
Jakub Zgraja, Richard Hugh Moulton, João Gama, Andrzej Kasprzak, Michal Wozniak
2019 A* conf
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract).
ICDE
Amal Saadallah, Luís Moreira-Matias, Ricardo Teixeira Sousa, Jihed Khiari, Erik Jenelius, João Gama
2019 J jnl
Contextual One-Class Classification in Data Streams.
CoRR
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2019 J jnl
Contrasting logical sequences in multi-relational learning.
Prog. Artif. Intell.
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2019 J jnl
Credit scoring for microfinance using behavioral data in emerging markets.
Intell. Data Anal.
Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
2019 — ed.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I
DASFAA (1)
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 — ed.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II
DASFAA (2)
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 — ed.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part III, and DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings
DASFAA Workshops
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 — conf
Detecting Bursts of Activity in Telecommunications.
BigMine@KDD
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2019 — conf
Discovering Common Pathways Across Users' Habits in Mobility Data.
EPIA (2)
Thiago Andrade, Brais Cancela, João Gama
2019 — ed.
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
DMLE/IOTSTREAMING@PKDD/ECML
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
2019 B conf
Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification.
DS
Sofia Fernandes, Hadi Fanaee-T, João Gama
2019 J jnl
Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview.
Sensors
Wesllen Sousa Lima, Eduardo Souto, Khalil El-Khatib, Roozbeh Jalali, João Gama
2019 J jnl
Identifying Points of Interest and Similar Individuals from Raw GPS Data.
CoRR
Thiago Andrade, João Gama
2019 — conf
Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks.
COMPLEX NETWORKS (1)
Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, João Gama
2019 — conf
Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks.
ICCS (3)
Douglas Castilho, João Gama, Leandro Resende Mundim, André C. P. L. F. de Carvalho
2019 J jnl
Learning under Concept Drift: A Review.
IEEE Trans. Knowl. Data Eng.
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
2019 J jnl
Machine learning for streaming data: state of the art, challenges, and opportunities.
SIGKDD Explor.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
2019 B conf
Main Factors Driving the Open Rate of Email Marketing Campaigns.
DS
Andreia Conceição, João Gama
2019 — conf
Mining Human Mobility Data to Discover Locations and Habits.
PKDD/ECML Workshops (2)
Thiago Andrade, Brais Cancela, João Gama
2019 J jnl
Mining Human Mobility Data to Discover Locations and Habits.
CoRR
Thiago Andrade, Brais Cancela, João Gama
2019 — conf
Novelty Detection for Multi-Label Stream Classification.
BRACIS
Joel D. Costa Júnior, Elaine Ribeiro de Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2019 — conf
Optimizing Waste Collection: A Data Mining Approach.
PKDD/ECML Workshops (1)
Guilherme Londres, Nuno Filipe, João Gama
2019 B conf
Pruned Sets for Multi-Label Stream Classification without True Labels.
IJCNN
Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2019 J jnl
Special Issue of DASFAA 2019.
Data Sci. Eng.
Guoliang Li, João Gama, Jun Yang
2019 J jnl
The search of conditional outliers.
Intell. Data Anal.
Eduarda Portela, Rita P. Ribeiro, João Gama
2019 J jnl
Uma Análise sobre a Evolução das Preferências Musicais dos Usuários Utilizando Redes de Similaridade Temporal.
Braz. J. Inf. Syst.
Fabíola Souza Fernandes Pereira, Claudio D. G. Linhares, Jean R. Ponciano, João Gama, Sandra de Amo, Gina M. B. Oliveira
2018 C ed.
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018
ICMLA
M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed-Mouchaweh, João Gama, Edwin Lughofer
2018 J jnl
A comparison of hierarchical multi-output recognition approaches for anuran classification.
Mach. Learn.
Juan Gabriel Colonna, João Gama, Eduardo Freire Nakamura
2018 J jnl
A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks.
Int. J. Distributed Sens. Networks
Pedro Pereira Rodrigues, João Araújo, João Gama, Luís M. B. Lopes
2018 — conf
Active Learning by Clustering for Drifted Data Stream Classification.
DMLE/IOTSTREAMING@PKDD/ECML
Jakub Zgraja, João Gama, Michal Wozniak
2018 — conf
Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.
BIBM
Carlos Fernandes, Luis Fonseca, Flora J. Ferreira, Miguel F. Gago, Luís Costa, Nuno J. Sousa, Carlos Ferreira, João Gama, Wolfram Erlhagen, Estela Bicho
2018 — conf
Biased Dynamic Sampling for Temporal Network Streams.
COMPLEX NETWORKS (1)
Shazia Tabassum, João Gama
2018 — conf
Clustering in the Presence of Concept Drift.
ECML/PKDD (1)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2018 Misc conf
Co-training study for online regression.
SAC
Ricardo Teixeira Sousa, João Gama
2018 J jnl
Cover Image, Volume 8, Issue 5.
WIREs Data Mining Knowl. Discov.
Shazia Tabassum, Fabíola Souza F. Pereira, Sofia Fernandes, João Gama
2018 J jnl
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks.
CoRR
Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, João Gama
2018 J jnl
Dynamic graph summarization: a tensor decomposition approach.
Data Min. Knowl. Discov.
Sofia Fernandes, Hadi Fanaee-T, João Gama
2018 J jnl
Forgetting techniques for stream-based matrix factorization in recommender systems.
Knowl. Inf. Syst.
Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama
2018 J jnl
Improving acute kidney injury detection with conditional probabilities.
Intell. Data Anal.
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
2018 — conf
Incremental TextRank - Automatic Keyword Extraction for Text Streams.
ICEIS (1)
Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
2018 J jnl
Multi-label classification from high-speed data streams with adaptive model rules and random rules.
Prog. Artif. Intell.
Ricardo Teixeira Sousa, João Gama
2018 J jnl
On analyzing user preference dynamics with temporal social networks.
Mach. Learn.
Fabíola Souza F. Pereira, João Gama, Sandra de Amo, Gina M. B. Oliveira
2018 B conf
Online Gradient Boosting for Incremental Recommender Systems.
DS
João Vinagre, Alípio Mário Jorge, João Gama
2018 J jnl
Online bagging for recommender systems.
Expert Syst. J. Knowl. Eng.
João Vinagre, Alípio Mário Jorge, João Gama
2018 — conf
Personalised Dynamic Viewer Profiling for Streamed Data.
WorldCIST (2)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, João Gama
2018 — ed.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016.
STREAMEVOLV@ECML-PKDD
Moamar Sayed-Mouchaweh, Hamid Bouchachia, João Gama, Rita Paula Ribeiro
2018 B conf
Self Hyper-Parameter Tuning for Data Streams.
DS
Bruno Veloso, João Gama, Benedita Malheiro
2018 — conf
Self Hyper-parameter Tuning for Stream Recommendation Algorithms.
DMLE/IOTSTREAMING@PKDD/ECML
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2018 J jnl
Social network analysis: An overview.
WIREs Data Mining Knowl. Discov.
Shazia Tabassum, Fabíola Souza F. Pereira, Sofia Fernandes, João Gama
2017 C conf
Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment.
ISMIS
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
2017 J jnl
An evolutionary algorithm for clustering data streams with a variable number of clusters.
Expert Syst. Appl.
Jonathan de Andrade Silva, Eduardo Raul Hruschka, João Gama
2017 — ch.
Clustering from Data Streams.
Encyclopedia of Machine Learning and Data Mining
João Gama
2017 C conf
Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules.
ISMIS
Ricardo Teixeira Sousa, João Gama
2017 — conf
Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules.
IOTSTREAMING@PKDD/ECML
Ricardo Teixeira Sousa, João Gama
2017 J jnl
Computational Models for Social and Technical Interactions.
New Gener. Comput.
João Gama, Eugénio C. Oliveira, Henrique Lopes Cardoso
2017 Misc conf
Credit Scoring in Microfinance Using Non-traditional Data.
EPIA
Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
2017 — conf
Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks.
COMPLEX NETWORKS
Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
2017 J jnl
Ensemble learning for data stream analysis: A survey.
Inf. Fusion
Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak
2017 J jnl
Fading histograms in detecting distribution and concept changes.
Int. J. Data Sci. Anal.
Raquel Sebastião, João Gama, Teresa Mendonça
2017 Misc conf
Feature ranking in hoeffding algorithms for regression.
SAC
João Duarte, João Gama
2017 Misc conf
Improving Incremental Recommenders with Online Bagging.
EPIA
João Vinagre, Alípio Mário Jorge, João Gama
2017 Misc conf
Mobility Mining Using Nonnegative Tensor Factorization.
EPIA
Hamid Eslami Nosratabadi, Hadi Fanaee-T, João Gama
2017 — conf
Outliers and the Simpson's Paradox.
MICAI (1)
Eduarda Portela, Rita P. Ribeiro, João Gama
2017 — ed.
Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, SoGood@ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016.
SoGood@ECML-PKDD
Ricard Gavaldà, Indre Zliobaite, João Gama
2017 — ed.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017.
IOTSTREAMING@PKDD/ECML
Moamar Sayed-Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro
2017 Misc ed.
Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings
EPIA
Eugénio C. Oliveira, João Gama, Zita A. Vale, Henrique Lopes Cardoso
2017 J jnl
WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering.
New Gener. Comput.
Douglas de O. Cardoso, Felipe M. G. França, João Gama
2017 J jnl
Weightless neural networks for open set recognition.
Mach. Learn.
Douglas de O. Cardoso, João Gama, Felipe M. G. França
2016 J jnl
A new dynamic modeling framework for credit risk assessment.
Expert Syst. Appl.
Maria Rocha Sousa, João Gama, Elísio Brandão
2016 J jnl
Adaptive Model Rules From High-Speed Data Streams.
ACM Trans. Knowl. Discov. Data
João Duarte, João Gama, Albert Bifet
2016 J jnl
An online learning approach to eliminate Bus Bunching in real-time.
Appl. Soft Comput.
Luís Moreira-Matias, Oded Cats, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
2016 J jnl
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories.
Comput. Electron. Agric.
F. E. Correa, Márcia D. B. Oliveira, João Gama, Pedro Luiz Pizzigatti Corrêa, Jorge Rady de Almeida Jr.
2016 — conf
Automatic Classification of Anuran Sounds Using Convolutional Neural Networks.
C3S2E
Juan Gabriel Colonna, Tanel Peet, Carlos Abreu Ferreira, Alípio Mário Jorge, Elsa Ferreira Gomes, João Gama
2016 Misc conf
Clustering data streams using a forgetful neural model.
SAC
Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama
2016 — conf
Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.
ECML/PKDD (3)
Luís Moreira-Matias, João Gama, João Mendes-Moreira
2016 — conf
Detecting Events in Evolving Social Networks through Node Centrality Analysis.
STREAMEVOLV@ECML-PKDD
Fabíola Souza F. Pereira, Sandra de Amo, João Gama
2016 — conf
Detection of Fraud Symptoms in the Retail Industry.
IBERAMIA
Rita P. Ribeiro, Ricardo Oliveira, João Gama
2016 J jnl
Dynamic community detection in evolving networks using locality modularity optimization.
Soc. Netw. Anal. Min.
Mário Cordeiro, Rui Sarmento, João Gama
2016 J jnl
Event detection from traffic tensors: A hybrid model.
Neurocomputing
Hadi Fanaee-T, João Gama
2016 B conf
Evolution Analysis of Call Ego-Networks.
DS
Shazia Tabassum, João Gama
2016 — conf
Evolving Centralities in Temporal Graphs: A Twitter Network Analysis.
MDM (Workshops)
Fabíola Souza F. Pereira, Sandra de Amo, João Gama
2016 — conf
First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation.
STREAMEVOLV@ECML-PKDD
Ricardo Teixeira Sousa, João Gama
2016 — conf
How to Correctly Evaluate an Automatic Bioacoustics Classification Method.
CAEPIA
Juan Gabriel Colonna, João Gama, Eduardo Freire Nakamura
2016 A* conf
IoT Big Data Stream Mining.
KDD
Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan
2016 J jnl
MINAS: multiclass learning algorithm for novelty detection in data streams.
Data Min. Knowl. Discov.
Elaine Ribeiro de Faria, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2016 J jnl
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.
Intell. Data Anal.
Hanen Borchani, Pedro Larrañaga, João Gama, Concha Bielza
2016 J jnl
Novelty detection in data streams.
Artif. Intell. Rev.
Elaine R. Faria, Isabel J. C. R. Gonçalves, André C. P. L. F. de Carvalho, João Gama
2016 B conf
On Using Temporal Networks to Analyze User Preferences Dynamics.
DS
Fabíola Souza F. Pereira, Sandra de Amo, João Gama
2016 — conf
Online Bagging for Recommendation with Incremental Matrix Factorization.
STREAMEVOLV@ECML-PKDD
João Vinagre, Alípio Mário Jorge, João Gama
2016 — conf
Online Multi-label Classification with Adaptive Model Rules.
CAEPIA
Ricardo Teixeira Sousa, João Gama
2016 B conf
Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules.
IDA
Ricardo Teixeira Sousa, João Gama
2016 — conf
Online Social Networks Event Detection: A Survey.
Solving Large Scale Learning Tasks
Mário Cordeiro, João Gama
2016 J jnl
Online bagging for recommendation with incremental matrix factorization.
CoRR
João Vinagre, Alípio Mário Jorge, João Gama
2016 B conf
Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach.
DS
Juan Gabriel Colonna, João Gama, Eduardo Freire Nakamura
2016 — conf
Sampling Evolving Ego-Networks with forgetting Factor.
MDM (Workshops)
Shazia Tabassum, João Gama
2016 Misc conf
Sampling massive streaming call graphs.
SAC
Shazia Tabassum, João Gama
2016 — conf
Scalable Online Top-N Recommender Systems.
EC-Web
Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou
2016 J jnl
Sequential anomalies: a study in the Railway Industry.
Mach. Learn.
Rita P. Ribeiro, Pedro Mota Pereira, João Gama
2016 J jnl
SimTensor: A synthetic tensor data generator.
CoRR
Hadi Fanaee-T, João Gama
2016 J jnl
Tensor-based anomaly detection: An interdisciplinary survey.
Knowl. Based Syst.
Hadi Fanaee-T, João Gama
2016 J jnl
Time-evolving O-D matrix estimation using high-speed GPS data streams.
Expert Syst. Appl.
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2015 — conf
A Framework for Analysing Dynamic Communities in Large-scale Social Networks.
ICEIS (1)
Vítor Cerqueira, Márcia D. B. Oliveira, João Gama
2015 B conf
A bounded neural network for open set recognition.
IJCNN
Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama
2015 Misc conf
An Experimental Study on Predictive Models Using Hierarchical Time Series.
EPIA
Ana M. Silva, Rita P. Ribeiro, João Gama
2015 J jnl
An overview on the exploitation of time in collaborative filtering.
WIREs Data Mining Knowl. Discov.
João Vinagre, Alípio Mário Jorge, João Gama
2015 C conf
Classification of Evolving Data Streams with Infinitely Delayed Labels.
ICMLA
Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama
2015 Misc conf
Collaborative filtering with recency-based negative feedback.
SAC
João Vinagre, Alípio Mário Jorge, João Gama
2015 — conf
Concept Drift Detection with Clustering via Statistical Change Detection Methods.
KSE
Yusuke Sakamoto, Ken-ichi Fukui, João Gama, Daniela Nicklas, Koichi Moriyama, Masayuki Numao
2015 A conf
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
SDM
Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista
2015 J jnl
EigenEvent: An algorithm for event detection from complex data streams in syndromic surveillance.
Intell. Data Anal.
Hadi Fanaee-T, João Gama
2015 J jnl
Eigenspace method for spatiotemporal hotspot detection.
Expert Syst. J. Knowl. Eng.
Hadi Fanaee-T, João Gama
2015 J jnl
Evaluation of Multiclass Novelty Detection Algorithms for Data Streams.
IEEE Trans. Knowl. Data Eng.
Elaine Ribeiro de Faria, Isabel Ribeiro Gonçalves, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho
2015 J jnl
Evaluation of recommender systems in streaming environments.
CoRR
João Vinagre, Alípio Mário Jorge, João Gama
2015 J jnl
Exploring multi-relational temporal databases with a propositional sequence miner.
Prog. Artif. Intell.
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2015 Misc conf
Forgetting methods for incremental matrix factorization in recommender systems.
SAC
Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama
2015 J jnl
Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track.
Mach. Learn.
Concha Bielza, João Gama, Alípio Jorge, Indre Zliobaite
2015 J jnl
Guest editors introduction: special issue of the ECMLPKDD 2015 journal track.
Data Min. Knowl. Discov.
Concha Bielza, João Gama, Alípio Jorge, Indre Zliobaite
2015 J jnl
Improving Mass Transit Operations by Using AVL-Based Systems: A Survey.
IEEE Trans. Intell. Transp. Syst.
Luís Moreira-Matias, João Mendes-Moreira, Jorge Freire de Sousa, João Gama
2015 — conf
Keynote speaker 2: Real time data mining.
EAIS
João Gama
2015 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I
ECML/PKDD (1)
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge
2015 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
ECML/PKDD (2)
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares
2015 — conf
Measures for Combining Prediction Intervals Uncertainty and Reliability in Forecasting.
CORES
Vânia Almeida, João Gama
2015 J jnl
Multi-aspect-streaming tensor analysis.
Knowl. Based Syst.
Hadi Fanaee-T, João Gama
2015 B conf
Multi-target regression from high-speed data streams with adaptive model rules.
DSAA
João Duarte, João Gama
2015 J jnl
Online tree-based ensembles and option trees for regression on evolving data streams.
Neurocomputing
Elena Ikonomovska, João Gama, Saso Dzeroski
2015 J jnl
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality.
Data Min. Knowl. Discov.
Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan Miguel García-Gómez
2015 — conf
Streaming Networks Sampling using top-K Networks.
ICEIS (1)
Rui Sarmento, Mário Cordeiro, João Gama
2015 J jnl
Validating the coverage of bus schedules: A Machine Learning approach.
Inf. Sci.
João Mendes-Moreira, Luís Moreira-Matias, João Gama, Jorge Freire de Sousa
2015 J jnl
Very fast decision rules for classification in data streams.
Data Min. Knowl. Discov.
Petr Kosina, João Gama
2015 Misc conf
Visualization of evolving large scale ego-networks.
SAC
Rui Sarmento, Mário Cordeiro, João Gama
2014 J jnl
A survey on concept drift adaptation.
ACM Comput. Surv.
João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia
2014 B conf
An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.
IDA
Luís Moreira-Matias, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
2014 J jnl
An eigenvector-based hotspot detection.
CoRR
Hadi Fanaee-T, João Gama
2014 — conf
An online learning framework for predicting the taxi stand's profitability.
ITSC
Luís Moreira-Matias, João Mendes-Moreira, Michel Ferreira, João Gama, Luís Damas
2014 — conf
Challenges in Learning from Streaming Data Extended Abstract.
ICT Innovations
João Gama
2014 — conf
Collaborative Wind Power Forecast.
ICAIS
Vânia Almeida, João Gama
2014 A conf
Comparing Data Distribution Using Fading Histograms.
ECAI
Raquel Sebastião, João Gama, Teresa Mendonça
2014 J jnl
Constructing fading histograms from data streams.
Prog. Artif. Intell.
Raquel Sebastião, João Gama, Teresa Mendonça
2014 J jnl
Data stream mining in ubiquitous environments: state-of-the-art and current directions.
WIREs Data Mining Knowl. Discov.
Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl
2014 — conf
Distributed Adaptive Model Rules for mining big data streams.
IEEE BigData
Anh Thu Vu, Gianmarco De Francisci Morales, João Gama, Albert Bifet
2014 J jnl
Distributed clustering of ubiquitous data streams.
WIREs Data Mining Knowl. Discov.
Pedro Pereira Rodrigues, João Gama
2014 J jnl
Dynamic communities in evolving customer networks: an analysis using landmark and sliding windows.
Soc. Netw. Anal. Min.
Márcia D. B. Oliveira, Américo Guerreiro, João Gama
2014 J jnl
EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance.
CoRR
Hadi Fanaee-T, João Gama
2014 J jnl
Eigenspace Method for Spatiotemporal Hotspot Detection.
CoRR
Hadi Fanaee-T, João Gama
2014 J jnl
Enhancing data stream predictions with reliability estimators and explanation.
Eng. Appl. Artif. Intell.
Zoran Bosnic, Jaka Demsar, Grega Kespret, Pedro Pereira Rodrigues, João Gama, Igor Kononenko
2014 — conf
Ensembles of Adaptive Model Rules from High-Speed Data Streams.
BigMine
João Duarte, João Gama
2014 J jnl
Event and Anomaly Detection Using Tucker3 Decomposition.
CoRR
Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama, Simon Malinowski, Ricardo Morla
2014 J jnl
Event labeling combining ensemble detectors and background knowledge.
Prog. Artif. Intell.
Hadi Fanaee-T, João Gama
2014 B conf
Failure Prediction - An Application in the Railway Industry.
Discovery Science
Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2014 A conf
Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback.
UMAP
João Vinagre, Alípio Mário Jorge, João Gama
2014 C conf
Keynote speakers.
ISCC
João Gama
2014 C conf
On Predicting a Call Center's Workload: A Discretization-Based Approach.
ISMIS
Luís Moreira-Matias, Rafael Nunes, Michel Ferreira, João Mendes-Moreira, João Gama
2014 J jnl
Recurrent concepts in data streams classification.
Knowl. Inf. Syst.
João Gama, Petr Kosina
2014 J jnl
Unsupervised density-based behavior change detection in data streams.
Intell. Data Anal.
Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2014 B conf
Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness.
CBMS
Cláudia Camila Dias, Cristina Granja, Altamiro da Costa Pereira, João Gama, Pedro Pereira Rodrigues
2014 — conf
Visualization for Streaming Telecommunications Networks.
NFMCP
Rui Sarmento, Mário Cordeiro, João Gama
2013 — conf
Adaptive Model Rules from Data Streams.
ECML/PKDD (1)
Ezilda Almeida, Carlos Ferreira, João Gama
2013 B conf
Avoiding Anomalies in Data Stream Learning.
Discovery Science
João Gama, Petr Kosina, Ezilda Almeida
2013 B conf
Contextual anomalies in medical data.
CBMS
Daniela Vasco, Pedro Pereira Rodrigues, João Gama
2013 J jnl
Data Stream Mining: the Bounded Rationality.
Informatica (Slovenia)
João Gama
2013 J jnl
Data stream clustering: A survey.
ACM Comput. Surv.
Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2013 — conf
Evaluation Methodology for Multiclass Novelty Detection Algorithms.
BRACIS
Elaine R. Faria, Isabel J. C. R. Gonçalves, João Gama, André C. P. L. F. de Carvalho
2013 — conf
Learning Model Rules From High-Speed Data Streams.
UDM@IJCAI
Ezilda Almeida, Carlos Ferreira, João Gama
2013 Misc conf
Novelty detection algorithm for data streams multi-class problems.
SAC
Elaine R. Faria, João Gama, André C. P. L. F. de Carvalho
2013 Misc conf
On Predicting the Taxi-Passenger Demand: A Real-Time Approach.
EPIA
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2013 — conf
On Recommending Urban Hotspots to Find Our Next Passenger.
UDM@IJCAI
Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2013 J jnl
On evaluating stream learning algorithms.
Mach. Learn.
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues
2013 J jnl
Predicting Taxi-Passenger Demand Using Streaming Data.
IEEE Trans. Intell. Transp. Syst.
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2013 B ed.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013
CBMS
Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma J. M. Traina, Peter J. F. Lucas, Paolo Soda
2013 — ed.
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.
UDM@IJCAI
João Gama, Michael May, Nuno Cavalheiro Marques, Paulo Cortez, Carlos Abreu Ferreira
2013 Misc conf
Random rules from data streams.
SAC
Ezilda Almeida, Petr Kosina, João Gama
2013 J jnl
Real-time algorithm for changes detection in depth of anesthesia signals.
Evol. Syst.
Raquel Sebastião, Margarida Martins da Silva, Rui Rabiço, João Gama, Teresa Mendonça
2013 J jnl
Visualization of evolving social networks using actor-level and community-level trajectories.
Expert Syst. J. Knowl. Eng.
Márcia D. B. Oliveira, João Gama
2013 B conf
WIPS: the WiSARD Indoor Positioning System.
ESANN
Douglas de O. Cardoso, João Gama, Massimo De Gregorio, Felipe M. G. França, Maurizio Giordano, Priscila M. V. Lima
2012 — conf
A Density-Based Clustering Approach for Behavior Change Detection in Data Streams.
SBRN
Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, João Gama
2012 C conf
A Weightless Neural Network-Based Approach for Stream Data Clustering.
IDEAL
Douglas de O. Cardoso, Massimo De Gregorio, Priscila Machado Vieira Lima, João Gama, Felipe Maia Galvão França
2012 J jnl
A framework to monitor clusters evolution applied to economy and finance problems.
Intell. Data Anal.
Márcia D. B. Oliveira, João Gama
2012 — conf
A predictive model for the passenger demand on a taxi network.
ITSC
Luís Moreira-Matias, João Gama, Michel Ferreira, Luís Damas
2012 J jnl
A survey on learning from data streams: current and future trends.
Prog. Artif. Intell.
João Gama
2012 — conf
An online recommendation system for the taxi stand choice problem (Poster).
VNC
Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2012 J jnl
An overview of social network analysis.
WIREs Data Mining Knowl. Discov.
Márcia D. B. Oliveira, João Gama
2012 A* conf
Bus Bunching Detection by Mining Sequences of Headway Deviations.
ICDM
Luís Moreira-Matias, Carlos Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
2012 B conf
Contributions to a decision support system based on depth of anesthesia signals.
CBMS
Raquel Sebastião, Margarida Martins da Silva, João Gama, Teresa Mendonça
2012 — conf
Handling Time Changing Data with Adaptive Very Fast Decision Rules.
ECML/PKDD (1)
Petr Kosina, João Gama
2012 — conf
Identifying Relationships in Transactional Data.
IBERAMIA
Melissa Rodrigues, João Gama, Carlos Abreu Ferreira
2012 Misc conf
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters.
SAC
Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho
2012 B conf
Mobile Data Stream Mining: From Algorithms to Applications.
MDM
Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber
2012 J jnl
Next challenges for adaptive learning systems.
SIGKDD Explor.
Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
2012 B conf
Online Predictive Model for Taxi Services.
IDA
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2012 B conf
Predicting Ramp Events with a Stream-Based HMM Framework.
Discovery Science
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud
2012 — conf
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
MLDM
Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil
2012 — conf
Vehicular Sensing: Emergence of a Massive Urban Scanner.
S-CUBE
Michel Ferreira, Ricardo Fernandes, Hugo Conceição, Pedro Emanuel Rodrigues Gomes, Pedro M. d'Orey, Luís Moreira-Matias, João Gama, Fernanda Lima, Luís Damas
2012 Misc conf
Very Fast Decision Rules for multi-class problems.
SAC
Petr Kosina, João Gama
2012 B conf
Where Are We Going? Predicting the Evolution of Individuals.
IDA
Zaigham Faraz Siddiqui, Márcia D. B. Oliveira, João Gama, Myra Spiliopoulou
2011 — conf
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.
ICDM Workshops
Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama
2011 B ed.
Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings
IDA
João Gama, Elizabeth Bradley, Jaakko Hollmén
2011 A conf
Advances in data stream mining for mobile and ubiquitous environments.
CIKM
Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber
2011 J jnl
Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst.
Jian Pei, João Gama, Qiang Yang, Ronghuai Huang, Xue Li
2011 B conf
Clustering data streams with weightless neural networks.
ESANN
Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França
2011 J jnl
Clustering distributed sensor data streams using local processing and reduced communication.
Intell. Data Anal.
João Gama, Pedro Pereira Rodrigues, Luís M. B. Lopes
2011 Misc conf
Constrained Sequential Pattern Knowledge in Multi-relational Learning.
EPIA
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2011 — conf
Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate.
ICMMI
Zoran Bosnic, Pedro Pereira Rodrigues, Igor Kononenko, João Gama
2011 Misc conf
Incremental multi-target model trees for data streams.
SAC
Elena Ikonomovska, João Gama, Saso Dzeroski
2011 Misc conf
L2GClust: local-to-global clustering of stream sources.
SAC
Pedro Pereira Rodrigues, João Gama, João Araújo, Luís M. B. Lopes
2011 A* conf
Learning Decision Rules from Data Streams.
IJCAI
João Gama, Petr Kosina
2011 B conf
Learning about the Learning Process.
IDA
João Gama, Petr Kosina
2011 J jnl
Learning model trees from evolving data streams.
Data Min. Knowl. Discov.
Elena Ikonomovska, João Gama, Saso Dzeroski
2011 C conf
New Results on Minimum Error Entropy Decision Trees.
CIARP
Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes
2011 B conf
Online Evaluation of Email Streaming Classifiers Using GNUsmail.
IDA
José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales Bueno
2011 B conf
Predictive Sequence Miner in ILP Learning.
ILP
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2011 — conf
Reasoning about the Learning Process.
EGC
João Gama
2011 — conf
Sequential Pattern Knowledge in Multi-Relational Learning.
ISCIS
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2011 A* conf
Speeding-Up Hoeffding-Based Regression Trees With Options.
ICML
Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski
2011 J jnl
Ubiquitous Knowledge Discovery.
Intell. Data Anal.
João Gama, Michael May
2011 — conf
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification.
WAPA
José M. Carmona-Cejudo, Manuel Baena-García, Rafael Morales Bueno, João Gama, Albert Bifet
2011 Misc conf
Visualizing the Evolution of Social Networks.
EPIA
Márcia D. B. Oliveira, João Gama
2010 B conf
Bipartite Graphs for Monitoring Clusters Transitions.
IDA
Márcia D. B. Oliveira, João Gama
2010 — ch.
Change Detection with Kalman Filter and CUSUM.
Ubiquitous Knowledge Discovery
Milton Severo, João Gama
2010 — ch.
Clustering from Data Streams.
Encyclopedia of Machine Learning
João Gama
2010 — conf
Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation.
SBGames
Rosane Maria Maffei Vallim, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2010 A conf
Drift Severity Metric.
ECAI
Petr Kosina, João Gama, Raquel Sebastião
2010 — book
Knowledge Discovery from Data Streams.
João Gama
2010 — ch.
Knowledge Discovery from Data Streams.
Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web
João Gama, Pedro Pereira Rodrigues, Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho
2010 — ed.
Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers
KDD Workshop on Knowledge Discovery from Sensor Data
Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly
2010 J jnl
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor.
Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2010 — conf
MEC - Monitoring Clusters' Transitions.
STAIRS
Márcia D. B. Oliveira, João Gama
2010 — ch.
Resource Aware Distributed Knowledge Discovery.
Ubiquitous Knowledge Discovery
João Gama, Antoine Cornuéjols
2010 A* conf
The next generation of transportation systems, greenhouse emissions, and data mining.
KDD
Hillol Kargupta, João Gama, Wei Fan
2010 — conf
Validation of both number and coverage of bus schedules using AVL data.
ITSC
Luís Moreira-Matias, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
2009 J jnl
A system for analysis and prediction of electricity-load streams.
Intell. Data Anal.
Pedro Pereira Rodrigues, João Gama
2009 J jnl
Adaptive Bayesian network classifiers.
Intell. Data Anal.
Gladys Castillo, João Gama
2009 C ed.
Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings
ADMA
Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li
2009 — ch.
An Overview on Mining Data Streams.
Foundations of Computational Intelligence (6)
João Gama, Pedro Pereira Rodrigues
2009 — conf
Change Detection in Climate Data over the Iberian Peninsula.
ICDM Workshops
Raquel Sebastião, Pedro Pereira Rodrigues, João Gama
2009 — ch.
Data Streams.
Encyclopedia of Data Warehousing and Mining
João Gama, Pedro Pereira Rodrigues
2009 C conf
Decision Trees Using the Minimum Entropy-of-Error Principle.
CAIP
Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre
2009 B ed.
Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009
Discovery Science
João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil
2009 Misc conf
Evaluating algorithms that learn from data streams.
SAC
João Gama, Pedro Pereira Rodrigues, Raquel Sebastião
2009 A* conf
Issues in evaluation of stream learning algorithms.
KDD
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues
2009 J jnl
Knowledge discovery from data streams.
Intell. Data Anal.
João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber
2009 J jnl
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor.
Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2009 — ch.
Learning from Data Streams.
Encyclopedia of Data Warehousing and Mining
João Gama, Pedro Pereira Rodrigues
2009 J jnl
Novelty detection with application to data streams.
Intell. Data Anal.
Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2009 — ed.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009
KDD Workshop on Knowledge Discovery from Sensor Data
Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber
2009 B conf
Regression Trees from Data Streams with Drift Detection.
Discovery Science
Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevikj
2009 — conf
Sequential Pattern Mining in Multi-relational Datasets.
CAEPIA
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2009 Misc conf
Tracking Recurring Concepts with Meta-learners.
EPIA
João Gama, Petr Kosina
2008 — conf
A Simple Dense Pixel Visualization for Mobile Sensor Data Mining.
KDD Workshop on Knowledge Discovery from Sensor Data
Pedro Pereira Rodrigues, João Gama
2008 J jnl
A review on the combination of binary classifiers in multiclass problems.
Artif. Intell. Rev.
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2008 Misc conf
Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks.
SAC
Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2008 — conf
Clustering Distributed Sensor Data Streams.
ECML/PKDD (2)
Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes
2008 J jnl
Hierarchical Clustering of Time-Series Data Streams.
IEEE Trans. Knowl. Data Eng.
Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso
2008 J jnl
Improving the performance of an incremental algorithm driven by error margins.
Intell. Data Anal.
José del Campo-Ávila, Gonzalo Ramos-Jiménez, João Gama, Rafael Morales Bueno
2008 — ch.
Issues and Challenges in Learning from Data Streams.
Next Generation of Data Mining
João Gama
2008 J jnl
Knowledge discovery from data streams.
Intell. Data Anal.
João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg
2008 J jnl
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor.
Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2008 B conf
Learning Model Trees from Data Streams.
Discovery Science
Elena Ikonomovska, João Gama
2008 — conf
Learning from Data Streams: Synopsis and Change Detection.
STAIRS
Raquel Sebastião, João Gama, Teresa Mendonça
2008 — conf
Monitoring Incremental Histogram Distribution for Change Detection in Data Streams.
KDD Workshop on Knowledge Discovery from Sensor Data
Raquel Sebastião, João Gama, Pedro Pereira Rodrigues, João Bernardes
2008 — conf
Online Reliability Estimates for Individual Predictions in Data Streams.
ICDM Workshops
Pedro Pereira Rodrigues, João Gama, Zoran Bosnic
2008 — conf
RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets.
ICTAI (1)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2008 — ch.
Research Challenges in Ubiquitous Knowledge Discovery.
Next Generation of Data Mining
Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof
2008 A conf
Robust Division in Clustering of Streaming Time Series.
ECAI
Pedro Pereira Rodrigues, João Gama
2008 Misc conf
Special track on Data Streams: editorial message.
SAC
João Gama, André Carlos Ponce de Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz
2008 J jnl
The Dimension of Ecocs for Multiclass Classification Problems.
Int. J. Artif. Intell. Tools
Edgar Pimenta, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho
2007 — conf
Change Detection in Learning Histograms from Data Streams.
EPIA Workshops
Raquel Sebastião, João Gama
2007 J jnl
Electricity load forecast using data streams techniques.
Monde des Util. Anal. Données
Pedro Pereira Rodrigues, João Gama
2007 Misc conf
Incremental discretization, application to data with concept drift.
SAC
Carlos Pinto, João Gama
2007 Misc conf
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams.
SAC
Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2007 Misc conf
Pursuing the Best ECOC Dimension for Multiclass Problems.
FLAIRS
Edgar Pimenta, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho
2007 — conf
Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering.
EPIA Workshops
Pedro Pereira Rodrigues, João Gama
2007 — conf
Stream-Based Electricity Load Forecast.
PKDD
João Gama, Pedro Pereira Rodrigues
2006 — conf
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers.
PKDD
Gladys Castillo, João Gama
2006 J jnl
An Overview on Learning from Data Streams.
New Gener. Comput.
João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz
2006 B conf
Change Detection with Kalman Filter and CUSUM.
Discovery Science
Milton Severo, João Gama
2006 J jnl
Decision trees for mining data streams.
Intell. Data Anal.
João Gama, Ricardo Fernandes, Ricardo Rocha
2006 Misc conf
Discretization from data streams: applications to histograms and data mining.
SAC
João Gama, Carlos Pinto
2006 C conf
Learning with Local Drift Detection.
ADMA
João Gama, Gladys Castillo
2006 A conf
ODAC: Hierarchical Clustering of Time Series Data Streams.
SDM
Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso
2005 B conf
Bias Management of Bayesian Network Classifiers.
Discovery Science
Gladys Castillo, João Gama
2005 J jnl
Data Streams J.UCS Special Issue.
J. Univers. Comput. Sci.
Jesús S. Aguilar-Ruiz, João Gama
2005 Misc conf
Introduction.
EPIA
João Gama, João Moura Pires, Margarida Cardoso, Nuno Cavalheiro Marques, Luís Cavique
2005 — ed.
Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings
PKDD
Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama
2005 J jnl
Learning Decision Trees from Dynamic Data Streams.
J. Univers. Comput. Sci.
João Gama, Pedro Medas
2005 Misc conf
Learning decision trees from dynamic data streams.
SAC
João Gama, Pedro Medas, Pedro Pereira Rodrigues
2005 — ed.
Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings
ECML
João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo
2004 Misc conf
Forest trees for on-line data.
SAC
João Gama, Pedro Medas, Ricardo Rocha
2004 J jnl
Functional Trees.
Mach. Learn.
João Gama
2004 J jnl
Incremental learning and concept drift: Editor's introduction.
Intell. Data Anal.
Miroslav Kubat, João Gama, Paul E. Utgoff
2004 — conf
Learning in Dynamic Environments: Decision Trees for Data Streams.
PRIS
João Gama, Pedro Medas
2004 — conf
Learning with Drift Detection.
SBIA
João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues
2004 J jnl
On Data and Algorithms: Understanding Inductive Performance.
Mach. Learn.
Alexandros Kalousis, João Gama, Melanie Hilario
2003 A* conf
Accurate decision trees for mining high-speed data streams.
KDD
João Gama, Ricardo Rocha, Pedro Medas
2003 Misc conf
Adaptation to Drifting Concepts.
EPIA
Gladys Castillo, João Gama, Pedro Medas
2003 — conf
Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles.
User Modeling
Gladys Castillo, João Gama, Ana M. Breda
2003 J jnl
Iterative Bayes.
Theor. Comput. Sci.
João Gama
2002 — conf
Adaptive Bayes.
IBERAMIA
João Gama, Gladys Castillo
2002 A* conf
An Analysis of Functional Trees.
ICML
João Gama
2001 A* conf
Functional Trees for Classification.
ICDM
João Gama
2001 B conf
Functional Trees for Regression.
IDA
João Gama
2001 B conf
Functional Trees.
Discovery Science
João Gama
2001 Misc conf
Parallel Implementation of Decision Tree Learning Algorithms.
EPIA
Nuno Amado, João Gama, Fernando M. A. Silva
2000 — conf
A Linear-Bayes Classifier.
IBERAMIA-SBIA
João Gama
2000 J jnl
Cascade Generalization.
Mach. Learn.
João Gama, Pavel Brazdil
2000 J jnl
Iterative Bayes.
Intell. Data Anal.
João Gama
2000 J jnl
Thesis: Inductive learning classification algorithms.
AI Commun.
João Gama
1999 A* conf
Discriminant Trees.
ICML
João Gama
1999 B conf
Iterative Naive Bayes.
Discovery Science
João Gama
1999 J jnl
Linear tree.
Intell. Data Anal.
João Gama, Pavel Brazdil
1998 — conf
Combining Classifiers by Constructive Induction.
ECML
João Gama
1998 — conf
Dynamic Discretization of Continuous Attributes.
IBERAMIA
João Gama, Luís Torgo, Carlos Soares
1998 A* conf
Local Cascade Generalization.
ICML
João Gama
1997 B conf
Oblique Linear Tree.
IDA
João Gama
1997 A* conf
Probabilistic Linear Tree.
ICML
João Gama
1997 J jnl
Regression Using Classification Algorithms.
Intell. Data Anal.
Luís Torgo, João Gama
1997 — conf
Search-Based Class Discretization.
ECML
Luís Torgo, João Gama
1996 — conf
Regression by Classification.
SBIA
Luís Torgo, João Gama
1995 Misc conf
Characterization of Classification Algorithms.
EPIA
João Gama, Pavel Brazdil
1994 — conf
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning.
ECML
Pavel Brazdil, João Gama, Bob Henery