International Conference Papers

  1. H. Kargupta, J. Gama, W. Fan; 
    The next generation of transportation systems, greenhouse emissions, and data mining;
    In Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, ACM 2010, pp. 1209-1212. 

  2. P. Kosina, J. Gama, R. Sebastião;
    Drift Severity Metric; 
    In Proceedings of 19th European Conference on Artificial Intelligence - ECAI 2010, Lisbon, Portugal, IOS Press, pp. 1119-1120 

  3. M. Oliveira, J. Gama;
    Bipartite Graphs for Monitoring Clusters Transitions;
    Advances in Intelligent Data Analysis IX, 9th International Symposium - IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings. Lecture Notes in Computer Science 6065 Springer, pp. 114-124, 2010. 

  4. M. Oliveira, J. Gama; 
    MEC - Monitoring Clusters' Transitions
    In Fifth European Starting AI Researcher Symposium (STAIRS 2010), 16th August 2010, Lisboa, Portugal. 

  5. L. Matias, J. Gama, J. Mendes-Moreira, J. Freire de Sousa; 
    Validation of both number and coverage of bus Schedules using AVL data
    In 13th International IEEE Conference on Intelligent Transportation Systems, pp.-, 2010. 

  6. E. Ikonomovska, J. Gama, S. Dzeroski; 
    Incremental Multi-Target Model Trees for Data Streams;
    ACM SAC 2011 

  7. P. P. Rodrigues, J. Gama, J. Araujo, L. Lopes;
    L2GClust: Local-to-Global Clustering of Stream Sources
    ACM SAC 2011 

  8. J. Gama and P. Kosina;
    Learning Decision Rules from Data Streams;
    Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, Catalunya, pp. 1255-1260, AAAI, Menlo Park, USA, 2011. 

  9. E. Ikonomovska, J. Gama, B. Zenko, and S. Dzeroski;
    Speeding-Up Hoeffding-Based Regression Trees With Options;
    Proceedings of the 28th International Conference on Machine Learning (ICML-11), Bellevue, Washington, USA, pp. 537-544, isbn 978-1-4503-0619-5, ACM, New York, NY, USA, 2011. 

  10. J. P. Marques de Sá, R. Sebastião, J. Gama and T. Fontes;
    New Results on Minimum Error Entropy Decision Trees;
    CIARP 2011, pp. 355-362, Springer, 2011. 

  11. C. Ferreira, J. Gama and V. S. Costa;
    Constrained Sequential Pattern Knowledge in Multi-relational Learning;
    EPIA 2011, pp. 282-296, Springer, 2011. 

  12. M. D. B. Oliveira, J. Gama;
    Visualizing the Evolution of Social Networks;
    EPIA 2011, pp. 476-490, Springer, 2011. 

  13. J. Gama, P. Kosina; 
    Learning about the Learning Process;
    IDA 2011, pp. 162-172, Springer, 2011. 

  14. J. M. Carmona-Cejudo, M. Baena-García, J. del Campo-Ávila, A. Bifet, J. Gama and R. Morales-Bueno; 
    Online Evaluation of Email Streaming Classifiers Using GNUsmail;
    IDA 2011, pp. 90-100, Springer, 2011. 

  15. J. B. Gomes, M. M. Gaber, P. A. C. Sousa and E. Menasalvas; 
    Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices;
    IDA 2011, pp. 22-33, Springer, 2011. 

  16. Z. Bosnic, P. P. Rodrigues, I. Kononenko and J. Gama; 
    Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate;
    In Proceedings of International Conference Man-Machine Interaction, pp. 343-350, Springer, 2011. 

  17. C. Ferreira, J.Gama, V. S. Costa;
    Sequential Pattern Mining in Multi-Relational Learning;
    ISCIS 2011, pp. 539-545. 

  18. D. O. Cardoso, P. M. V. Lima, M. De Gregorio, J. Gama, M. G. França;
    Clustering data streams with weightless neural networks;
    ESANN 2011, pp. 201-206. 

  19. P. Kosina, J. Gama; 
    Very Fast Decision Rules for Multi-Class Problems;
    ACM Symposium on Applied Computing, pp. 538-543, ACM Press, 2012. 

  20. C. Ferreira, J. Gama, V. S. Costa; 
    Predictive Sequence Miner in ILP Learning;
    In Proceedings of ILP 2011, Springer. 

  21. S. Krishnaswamy, J. Gama, M. M. Gaber; 
    Advances in data stream mining for mobile and ubiquitous environments;
    CIKM 2011: 2607-2608 

  22. E. Ikonomovska, K. Driessens, S. Dzeroski, J. Gama;
    Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams;
    ICDM Workshops 2011: 697-704 

  23. M. Ferreira, R. Fernandes, H. Conceicao, P. Gomes, P. d'Orey, L. Moreira-Matias, J. Gama, F. Lima, L. Damas;
    Vehicular Sensing: Emergence of a Massive Urban Scanner;
    S-Cube - 3rd International Conference on Sensor Systems and Software. Springer, Lisbon, Portugal, 2012. 

  24. L. Moreira-Matias, C. Ferreira, J. Gama, J. Mendes-Moreira, J.F.d. Sousa;
    Bus Bunching Detection by Mining Sequences of Headway Deviations;
    ICDM - Industrial Conference on Data Mining. Springer, Berlim, Germany, 2012.  

  25. L. Moreira-Matias, J. Mendes-Moreira, J. Gama, P. Brazdil;
    Text Categorization using an Ensemble Classifier based on a Mean Co-Association Matrix;
    MLDM - International Conference on Machine Learning and Data Mining. Springer, Berlim, Germany, 2012. (to appear) 

  26. R. Sebastiao, M. M. Silva, R. Rabiço, J. Gama and T. Mendonça;
    Online evaluation of a changes detection algorithm for depth of anesthesia signals;
    8th IFAC Symposium on Biological and Medical Systems, (BMS 2012), Budapest, Hungary. 2012.
  27. Melissa RodriguesJoão GamaCarlos Abreu Ferreira:
    Identifying Relationships in Transactional Data. IBERAMIA 2012:LNAI 7637,pp 81-90, Springer
  28. Petr KosinaJoão Gama
    Handling Time Changing Data with Adaptive Very Fast Decision Rules. 
    ECML/PKDD (1) 2012: 827-842, Springer

  29. E. Duarte Almeida, P. Kosina and João Gama;
    Random Rules From Data Streams;
    ACM SAC 2013 - 28th Symposium On Applied Computing, Coimbra, Portugal, 2013.

  30. E. R. Faria, J. Gama, and A. C. P. L. F. Carvalho;
    Novelty Detection Algorithm for Data Streams Multi-Class Problems;
    ACM SAC 2013 - 28th Symposium On Applied Computing, Coimbra, Portugal, 2013.
  31. Carlos FerreiraJoão GamaVítor Santos CostaVladimiro MirandaAudun Botterud:
    Predicting Ramp Events with a Stream-Based HMM Framework.
    Discovery Science LNAI 7569, pp 224-238, Springer 2012