| 2026 | AAAI | Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint). | Marcos Vinicius Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery, Joo Gama, Albert Bifet, Ricardo Arajo Rios |
| 2026 | AAAI | DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices. | Afonso Loureno, Joo Rodrigo, Joo Gama, Goreti Marreiros |
| 2026 | IDA | Conditional Motif-Based Graph Convolutional Network for Anomaly Detection in the Waste Management Network. | Sara Oliveira, Shazia Tabassum, Joo Gama, Ana Garcia, Pedro Santana |
| 2026 | KDD | In-context Learning of Evolving Data Streams with Tabular Foundational Models. | Afonso Loureno, Joo Gama, Eric P. Xing, Goreti Marreiros |
| 2026 | SAC | Anticipating Mechanical Failures: Predictive Models for Scania Truck Components. | Antnio Silva, Bruno Veloso, Joo Gama |
| 2025 | AIES | A Multidimensional Approach to Ethical AI Auditing. | Snia Teixeira, Atia Corts, Dilhan Thilakarathne, Gianmarco Gori, Marco Minici, Monowar Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O'Keefe, Carmela Comito, Joo Gama, Virginia Dignum |
| 2025 | DIS | Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification. | Joana Santos, Nuno Silva, Carlos Ferreira, Joo Gama |
| 2025 | DSAA | Unveiling Fairness and Performance of Causal Discovery. | Snia Teixeira, Ana Rita Nogueira, Joo Gama |
| 2025 | EPIA | Interpretable Predictive Maintenance: Combining Anomaly Detection with Quantitative Root Cause Analysis. | Ins Barbosa, Joo Gama, Bruno Veloso |
| 2025 | ICTAI | Fed-VFDT: Federated Very Fast Decision Trees with Coordinated Splitting Over Data Streams. | Paula Raissa Silva, Joo Vinagre, Joo Gama |
| 2025 | SAC | Efficient Instance Selection in Tree-Based Models for Data Streams Classification. | Aldo Marcelo Paim, Joo Gama, Bruno Veloso, Fabrcio Enembreck, Rita P. Ribeiro |
| 2025 | SAC | Online Learning from Capricious Data streams with Flexible Hoeffding Tree. | Ruirui Zhao, Jianbin Sun, Joo Gama, Jiang Jiang |
| 2024 | ECAI | More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation. | Matas Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, Joo Gama |
| 2024 | ECAI | Federated Online Learning for Heavy Hitter Detection. | Paula Raissa Silva, Joo Vinagre, Joo Gama |
| 2024 | EKAW | Online News Classification Using Large Language Models with Semantic Enrichment. | Joana Santos, Nuno Silva, Carlos Ferreira, Joo Gama |
| 2024 | EPIA | Next Location Prediction with Time-Evolving Markov Models over Data Streams. | Thiago Andrade, Joo Gama |
| 2024 | HAIS | Early Failure Detection for Air Production Unit in Metro Trains. | Amelia Zafra, Bruno Veloso, Joo Gama |
| 2024 | IC3K | Recent Advances in Learning from Data Streams. | Joo Gama |
| 2024 | ICASSP | Deep Neural Network Model Compression and Signal Processing. | Arijit Ukil, Angshul Majumdar, Antonio J. Jara, Joo Gama |
| 2024 | IDA | Super-Resolution Analysis for Landfill Waste Classification. | Matas Molina, Rita P. Ribeiro, Bruno Veloso, Joo Gama |
| 2024 | IDA | S+t-SNE - Bringing Dimensionality Reduction to Data Streams. | Pedro C. Vieira, Joo P. Montrezol, Joo T. Vieira, Joo Gama |
| 2024 | SAC | Where Do We Go From Here? Location Prediction from Time-Evolving Markov Models. | Thiago Andrade, Joo Gama |
| 2023 | CIKM | Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond. | Arijit Ukil, Joo Gama, Antonio J. Jara, Leandro Marn |
| 2023 | DIS | Which Way to Go - Finding Frequent Trajectories Through Clustering. | Thiago Andrade, Joo Gama |
| 2023 | DIS | Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. | Rafael M. Mamede, Nuno Paiva, Joo Gama |
| 2023 | EPIA | Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions. | Csar Andrade, Rita P. Ribeiro, Joo Gama |
| 2023 | EPIA | Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis. | Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, Joo Gama |
| 2023 | IDA | Online Influence Forest for Streaming Anomaly Detection. | Ins Martins, Joo S. Resende, Joo Gama |
| 2023 | KDD | XAI for Predictive Maintenance. | Joo Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso |
| 2023 | SAC | Estimating Instantaneous Vehicle Emissions. | Thiago Andrade, Joo Gama |
| 2023 | SAC | A DTW Approach for Complex Data A Case Study with Network Data Streams. | Paula Raissa Silva, Joo Vinagre, Joo Gama |
| 2022 | EPIA | How are you Riding? Transportation Mode Identification from Raw GPS Data. | Thiago Andrade, Joo Gama |
| 2022 | EPIA | Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis. | Ana Rita Nogueira, Carlos Abreu Ferreira, Joo Gama |
| 2022 | ICMLA | An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. | Ricardo Cerri, Elaine R. Faria, Joo Gama |
| 2022 | IDA | A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. | Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, Joo Gama |
| 2022 | IDA | Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph. | Nirbhaya Shaji, Joo Gama, Rita P. Ribeiro, Pedro Gomes |
| 2021 | DIS | An Analysis of Performance Metrics for Imbalanced Classification. | Jean-Gabriel Gaudreault, Paula Branco, Joo Gama |
| 2021 | DSAA | Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. | Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, Joo Gama |
| 2021 | EPIA | Modelling Voting Behaviour During a General Election Campaign Using Dynamic Bayesian Networks. | Patrcio Costa, Ana Rita Nogueira, Joo Gama |
| 2021 | EPIA | Generalised Partial Association in Causal Rules Discovery. | Ana Rita Nogueira, Carlos Ferreira, Joo Gama, Alberto A. Pinto |
| 2021 | EPIA | Dynamic Topic Modeling Using Social Network Analytics. | Shazia Tabassum, Joo Gama, Paulo Azevedo, Luis Teixeira, Carlos Martins, Andre Martins |
| 2021 | SAC | A new self-organizing map based algorithm for multi-label stream classification. | Ricardo Cerri, Joel David Costa Jnior, Elaine R. Faria, Joo Gama |
| 2020 | DIS | Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features. | Saulo Ruiz, Pedro Gomes, Lus Rodrigues, Joo Gama |
| 2020 | DIS | Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method. | Leo Tisljaric, Sofia Fernandes, Tonci Caric, Joo Gama |
| 2020 | DSAA | Using Network Features for Credit Scoring in MicroFinance: Extended Abstract. | Paulo Paraso, Pedro Gomes, Saulo Ruiz, Lus Rodrigues, Joo Gama |
| 2020 | IDA | Improving Prediction with Causal Probabilistic Variables. | Ana Rita Nogueira, Joo Gama, Carlos Abreu Ferreira |
| 2020 | PAAMS | Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform. | Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Joo Gama |
| 2020 | SAC | Fraud detection using heavy hitters: a case study. | Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, Joo Gama |
| 2019 | DIS | Main Factors Driving the Open Rate of Email Marketing Campaigns. | Andreia Conceio, Joo Gama |
| 2019 | DIS | Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification. | Sofia Fernandes, Hadi Fanaee-T, Joo Gama |
| 2019 | EPIA | Discovering Common Pathways Across Users' Habits in Mobility Data. | Thiago Andrade, Brais Cancela, Joo Gama |
| 2019 | ICCS | Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks. | Douglas Castilho, Joo Gama, Leandro Resende Mundim, Andr C. P. L. F. de Carvalho |
| 2019 | ICDE | BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). | Amal Saadallah, Lus Moreira-Matias, Ricardo Teixeira Sousa, Jihed Khiari, Erik Jenelius, Joo Gama |
| 2019 | IJCNN | Pruned Sets for Multi-Label Stream Classification without True Labels. | Joel D. Costa Jnior, Elaine R. Faria, Jonathan de Andrade Silva, Joo Gama, Ricardo Cerri |
| 2019 | KDD | Detecting Bursts of Activity in Telecommunications. | Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, Joo Gama |
| 2018 | DIS | Self Hyper-Parameter Tuning for Data Streams. | Bruno Veloso, Joo Gama, Benedita Malheiro |
| 2018 | DIS | Online Gradient Boosting for Incremental Recommender Systems. | Joo Vinagre, Alpio Mrio Jorge, Joo Gama |
| 2018 | SAC | Co-training study for online regression. | Ricardo Teixeira Sousa, Joo Gama |
| 2018 | WorldCIST | Personalised Dynamic Viewer Profiling for Streamed Data. | Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, Joo Gama |
| 2017 | EPIA | Mobility Mining Using Nonnegative Tensor Factorization. | Hamid Eslami Nosratabadi, Hadi Fanaee-T, Joo Gama |
| 2017 | EPIA | Credit Scoring in Microfinance Using Non-traditional Data. | Saulo Ruiz, Pedro Gomes, Lus Rodrigues, Joo Gama |
| 2017 | EPIA | Improving Incremental Recommenders with Online Bagging. | Joo Vinagre, Alpio Mrio Jorge, Joo Gama |
| 2017 | ISMIS | Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment. | Ana Rita Nogueira, Carlos Abreu Ferreira, Joo Gama |
| 2017 | ISMIS | Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules. | Ricardo Teixeira Sousa, Joo Gama |
| 2017 | SAC | Feature ranking in hoeffding algorithms for regression. | Joo Duarte, Joo Gama |
| 2016 | DIS | Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach. | Juan Gabriel Colonna, Joo Gama, Eduardo Freire Nakamura |
| 2016 | DIS | On Using Temporal Networks to Analyze User Preferences Dynamics. | Fabola Souza F. Pereira, Sandra de Amo, Joo Gama |
| 2016 | DIS | Evolution Analysis of Call Ego-Networks. | Shazia Tabassum, Joo Gama |
| 2016 | IDA | Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules. | Ricardo Teixeira Sousa, Joo Gama |
| 2016 | KDD | IoT Big Data Stream Mining. | Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, Joo Gama, Wei Fan |
| 2016 | MDM | Evolving Centralities in Temporal Graphs: A Twitter Network Analysis. | Fabola Souza F. Pereira, Sandra de Amo, Joo Gama |
| 2016 | MDM | Sampling Evolving Ego-Networks with forgetting Factor. | Shazia Tabassum, Joo Gama |
| 2016 | SAC | Clustering data streams using a forgetful neural model. | Douglas de O. Cardoso, Felipe Maia Galvo Frana, Joo Gama |
| 2016 | SAC | Sampling massive streaming call graphs. | Shazia Tabassum, Joo Gama |
| 2015 | DSAA | Multi-target regression from high-speed data streams with adaptive model rules. | Joo Duarte, Joo Gama |
| 2015 | EPIA | An Experimental Study on Predictive Models Using Hierarchical Time Series. | Ana M. Silva, Rita P. Ribeiro, Joo Gama |
| 2015 | ICMLA | Classification of Evolving Data Streams with Infinitely Delayed Labels. | Vincius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, Joo Gama |
| 2015 | IJCNN | A bounded neural network for open set recognition. | Douglas de O. Cardoso, Felipe Maia Galvo Frana, Joo Gama |
| 2015 | SAC | Forgetting methods for incremental matrix factorization in recommender systems. | Pawel Matuszyk, Joo Vinagre, Myra Spiliopoulou, Alpio Mrio Jorge, Joo Gama |
| 2015 | SAC | Visualization of evolving large scale ego-networks. | Rui Sarmento, Mrio Cordeiro, Joo Gama |
| 2015 | SAC | Collaborative filtering with recency-based negative feedback. | Joo Vinagre, Alpio Mrio Jorge, Joo Gama |
| 2015 | SDM | Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. | Vincius M. A. de Souza, Diego Furtado Silva, Joo Gama, Gustavo E. A. P. A. Batista |
| 2014 | CBMS | Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness. | Cludia Camila Dias, Cristina Granja, Altamiro da Costa Pereira, Joo Gama, Pedro Pereira Rodrigues |
| 2014 | DIS | Failure Prediction - An Application in the Railway Industry. | Pedro Mota Pereira, Rita P. Ribeiro, Joo Gama |
| 2014 | ECAI | Comparing Data Distribution Using Fading Histograms. | Raquel Sebastio, Joo Gama, Teresa Mendona |
| 2014 | IDA | An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time. | Lus Moreira-Matias, Joo Gama, Joo Mendes-Moreira, Jorge Freire de Sousa |
| 2014 | ISCC | Keynote speakers. | Joo Gama |
| 2014 | ISMIS | On Predicting a Call Center's Workload: A Discretization-Based Approach. | Lus Moreira-Matias, Rafael Nunes, Michel Ferreira, Joo Mendes-Moreira, Joo Gama |
| 2014 | KDD | Ensembles of Adaptive Model Rules from High-Speed Data Streams. | Joo Duarte, Joo Gama |
| 2013 | CBMS | Contextual anomalies in medical data. | Daniela Vasco, Pedro Pereira Rodrigues, Joo Gama |
| 2013 | DIS | Avoiding Anomalies in Data Stream Learning. | Joo Gama, Petr Kosina, Ezilda Almeida |
| 2013 | EPIA | On Predicting the Taxi-Passenger Demand: A Real-Time Approach. | Lus Moreira-Matias, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2013 | ESANN | WIPS: the WiSARD Indoor Positioning System. | Douglas de O. Cardoso, Joo Gama, Massimo De Gregorio, Felipe M. G. Frana, Maurizio Giordano, Priscila M. V. Lima |
| 2013 | IJCAI | Learning Model Rules From High-Speed Data Streams. | Ezilda Almeida, Carlos Ferreira, Joo Gama |
| 2013 | IJCAI | On Recommending Urban Hotspots to Find Our Next Passenger. | Lus Moreira-Matias, Ricardo Fernandes, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2013 | SAC | Random rules from data streams. | Ezilda Almeida, Petr Kosina, Joo Gama |
| 2013 | SAC | Novelty detection algorithm for data streams multi-class problems. | Elaine R. Faria, Joo Gama, Andr C. P. L. F. de Carvalho |
| 2012 | CBMS | Contributions to a decision support system based on depth of anesthesia signals. | Raquel Sebastio, Margarida Martins da Silva, Joo Gama, Teresa Mendona |
| 2012 | DIS | Predicting Ramp Events with a Stream-Based HMM Framework. | Carlos Abreu Ferreira, Joo Gama, Vtor Santos Costa, Vladimiro Miranda, Audun Botterud |
| 2012 | IDA | Online Predictive Model for Taxi Services. | Lus Moreira-Matias, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2012 | IDA | Where Are We Going? Predicting the Evolution of Individuals. | Zaigham Faraz Siddiqui, Mrcia D. B. Oliveira, Joo Gama, Myra Spiliopoulou |
| 2012 | IDEAL | A Weightless Neural Network-Based Approach for Stream Data Clustering. | Douglas de O. Cardoso, Massimo De Gregorio, Priscila Machado Vieira Lima, Joo Gama, Felipe Maia Galvo Frana |
| 2012 | MDM | Mobile Data Stream Mining: From Algorithms to Applications. | Shonali Krishnaswamy, Joo Gama, Mohamed Medhat Gaber |
| 2012 | SAC | Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. | Elaine R. Faria, Rodrigo C. Barros, Joo Gama, Andr C. P. L. F. de Carvalho |
| 2012 | SAC | Very Fast Decision Rules for multi-class problems. | Petr Kosina, Joo Gama |
| 2011 | CIARP | New Results on Minimum Error Entropy Decision Trees. | Joaquim Marques de S, Raquel Sebastio, Joo Gama, Tnia Fontes |
| 2011 | CIKM | Advances in data stream mining for mobile and ubiquitous environments. | Shonali Krishnaswamy, Joo Gama, Mohamed Medhat Gaber |
| 2011 | EPIA | Constrained Sequential Pattern Knowledge in Multi-relational Learning. | Carlos Abreu Ferreira, Joo Gama, Vtor Santos Costa |
| 2011 | EPIA | Visualizing the Evolution of Social Networks. | Mrcia D. B. Oliveira, Joo Gama |
| 2011 | ESANN | Clustering data streams with weightless neural networks. | Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, Joo Gama, Felipe M. G. Frana |
| 2011 | ICDM | Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. | Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, Joo Gama |
| 2011 | ICML | Speeding-Up Hoeffding-Based Regression Trees With Options. | Elena Ikonomovska, Joo Gama, Bernard Zenko, Saso Dzeroski |
| 2011 | IJCAI | Learning Decision Rules from Data Streams. | Joo Gama, Petr Kosina |
| 2011 | ILP | Predictive Sequence Miner in ILP Learning. | Carlos Abreu Ferreira, Joo Gama, Vtor Santos Costa |
| 2011 | IDA | Online Evaluation of Email Streaming Classifiers Using GNUsmail. | Jos M. Carmona-Cejudo, Manuel Baena-Garca, Jos del Campo-vila, Albert Bifet, Joo Gama, Rafael Morales Bueno |
| 2011 | IDA | Learning about the Learning Process. | Joo Gama, Petr Kosina |
| 2011 | SAC | Incremental multi-target model trees for data streams. | Elena Ikonomovska, Joo Gama, Saso Dzeroski |
| 2011 | SAC | L2GClust: local-to-global clustering of stream sources. | Pedro Pereira Rodrigues, Joo Gama, Joo Arajo, Lus M. B. Lopes |
| 2010 | ECAI | Drift Severity Metric. | Petr Kosina, Joo Gama, Raquel Sebastio |
| 2010 | IDA | Bipartite Graphs for Monitoring Clusters Transitions. | Mrcia D. B. Oliveira, Joo Gama |
| 2010 | KDD | The next generation of transportation systems, greenhouse emissions, and data mining. | Hillol Kargupta, Joo Gama, Wei Fan |
| 2009 | CAIP | Decision Trees Using the Minimum Entropy-of-Error Principle. | Joaquim Marques de S, Joo Gama, Raquel Sebastio, Lus A. Alexandre |
| 2009 | DIS | Regression Trees from Data Streams with Drift Detection. | Elena Ikonomovska, Joo Gama, Raquel Sebastio, Dejan Gjorgjevikj |
| 2009 | EPIA | Tracking Recurring Concepts with Meta-learners. | Joo Gama, Petr Kosina |
| 2009 | ICDM | Change Detection in Climate Data over the Iberian Peninsula. | Raquel Sebastio, Pedro Pereira Rodrigues, Joo Gama |
| 2009 | KDD | Issues in evaluation of stream learning algorithms. | Joo Gama, Raquel Sebastio, Pedro Pereira Rodrigues |
| 2009 | SAC | Evaluating algorithms that learn from data streams. | Joo Gama, Pedro Pereira Rodrigues, Raquel Sebastio |
| 2008 | DIS | Learning Model Trees from Data Streams. | Elena Ikonomovska, Joo Gama |
| 2008 | ECAI | Robust Division in Clustering of Streaming Time Series. | Pedro Pereira Rodrigues, Joo Gama |
| 2008 | ICDM | Online Reliability Estimates for Individual Predictions in Data Streams. | Pedro Pereira Rodrigues, Joo Gama, Zoran Bosnic |
| 2008 | ICTAI | RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets. | Carlos Abreu Ferreira, Joo Gama, Vtor Santos Costa |
| 2008 | KDD | A Simple Dense Pixel Visualization for Mobile Sensor Data Mining. | Pedro Pereira Rodrigues, Joo Gama |
| 2008 | KDD | Monitoring Incremental Histogram Distribution for Change Detection in Data Streams. | Raquel Sebastio, Joo Gama, Pedro Pereira Rodrigues, Joo Bernardes |
| 2008 | SAC | Special track on Data Streams: editorial message. | Joo Gama, Andr Carlos Ponce de Leon Ferreira de Carvalho, Jess S. Aguilar-Ruiz |
| 2008 | SAC | Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks. | Eduardo Jaques Spinosa, Andr Carlos Ponce de Leon Ferreira de Carvalho, Joo Gama |
| 2007 | EPIA | Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. | Pedro Pereira Rodrigues, Joo Gama |
| 2007 | EPIA | Change Detection in Learning Histograms from Data Streams. | Raquel Sebastio, Joo Gama |
| 2007 | FlAIRS | Pursuing the Best ECOC Dimension for Multiclass Problems. | Edgar Pimenta, Joo Gama, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2007 | SAC | Incremental discretization, application to data with concept drift. | Carlos Pinto, Joo Gama |
| 2007 | SAC | OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams. | Eduardo Jaques Spinosa, Andr Carlos Ponce de Leon Ferreira de Carvalho, Joo Gama |
| 2006 | ADMA | Learning with Local Drift Detection. | Joo Gama, Gladys Castillo |
| 2006 | DIS | Change Detection with Kalman Filter and CUSUM. | Milton Severo, Joo Gama |
| 2006 | SAC | Discretization from data streams: applications to histograms and data mining. | Joo Gama, Carlos Pinto |
| 2006 | SDM | ODAC: Hierarchical Clustering of Time Series Data Streams. | Pedro Pereira Rodrigues, Joo Gama, Joo Pedro Pedroso |
| 2005 | DIS | Bias Management of Bayesian Network Classifiers. | Gladys Castillo, Joo Gama |
| 2005 | EPIA | Introduction. | Joo Gama, Joo Moura Pires, Margarida Cardoso, Nuno Cavalheiro Marques, Lus Cavique |
| 2005 | SAC | Learning decision trees from dynamic data streams. | Joo Gama, Pedro Medas, Pedro Pereira Rodrigues |
| 2004 | SAC | Forest trees for on-line data. | Joo Gama, Pedro Medas, Ricardo Rocha |
| 2003 | EPIA | Adaptation to Drifting Concepts. | Gladys Castillo, Joo Gama, Pedro Medas |
| 2003 | KDD | Accurate decision trees for mining high-speed data streams. | Joo Gama, Ricardo Rocha, Pedro Medas |
| 2002 | ICML | An Analysis of Functional Trees. | Joo Gama |
| 2001 | DIS | Functional Trees. | Joo Gama |
| 2001 | EPIA | Parallel Implementation of Decision Tree Learning Algorithms. | Nuno Amado, Joo Gama, Fernando M. A. Silva |
| 2001 | ICDM | Functional Trees for Classification. | Joo Gama |
| 2001 | IDA | Functional Trees for Regression. | Joo Gama |
| 1999 | DIS | Iterative Naive Bayes. | Joo Gama |
| 1999 | ICML | Discriminant Trees. | Joo Gama |
| 1998 | ICML | Local Cascade Generalization. | Joo Gama |
| 1997 | ICML | Probabilistic Linear Tree. | Joo Gama |
| 1997 | IDA | Oblique Linear Tree. | Joo Gama |
| 1995 | EPIA | Characterization of Classification Algorithms. | Joo Gama, Pavel Brazdil |