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Ricardo Vilalta: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta
    Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:255-266 [Conf]
  2. Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss
    Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. [Citation Graph (0, 0)][DBLP]
    DSOM, 2000, pp:37-46 [Conf]
  3. Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick
    Piece-Wise Model Fitting Using Local Data Patterns. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:559-563 [Conf]
  4. Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
    A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:503-514 [Conf]
  5. Ricardo Vilalta, Irina Rish
    A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:444-455 [Conf]
  6. Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
    Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:312-326 [Conf]
  7. Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta
    Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:565-568 [Conf]
  8. Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta
    Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:375-378 [Conf]
  9. Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick
    Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:673-676 [Conf]
  10. Ricardo Vilalta, Sheng Ma
    Predicting Rare Events In Temporal Domains. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:474-481 [Conf]
  11. Ricardo Vilalta, Daniel Oblinger
    A Quantification of Distance Bias Between Evaluation Metrics In Classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1087-1094 [Conf]
  12. Ricardo Vilalta, Larry A. Rendell
    Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:394-402 [Conf]
  13. Ricardo Vilalta, Youssef Drissi
    A Characterization of Difficult Problems in Classification. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:133-138 [Conf]
  14. Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick
    Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2005, pp:24-28 [Conf]
  15. Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam
    Critical event prediction for proactive management in large-scale computer clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:426-435 [Conf]
  16. Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta
    Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:120-131 [Conf]
  17. Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma
    A Classification Approach for Prediction of Target Events in Temporal Sequences. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:125-137 [Conf]
  18. Bruce Knuteson, Ricardo Vilalta
    Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:552-560 [Conf]
  19. Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez
    A Quantification of Cluster Novelty with an Application to Martian Topography. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:434-445 [Conf]
  20. Jaspal Subhlok, Olin Johnson, Venkat Subramaniam, Ricardo Vilalta, Chang Yun
    Tablet PC video based hybrid coursework in computer science: report from a pilot project. [Citation Graph (0, 0)][DBLP]
    SIGCSE, 2007, pp:74-78 [Conf]
  21. Ricardo Vilalta, Youssef Drissi
    A Perspective View and Survey of Meta-Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2002, v:18, n:2, pp:77-95 [Journal]
  22. Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss
    Predictive algorithms in the management of computer systems. [Citation Graph (0, 0)][DBLP]
    IBM Systems Journal, 2002, v:41, n:3, pp:461-474 [Journal]
  23. Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil
    Introduction to the Special Issue on Meta-Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:3, pp:187-193 [Journal]
  24. Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta
    Machine Learning for Automatic Mapping of Planetary Surfaces. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1807-1812 [Conf]
  25. Chaofan Sun, Ricardo Vilalta
    Data Selection Using SASH Trees for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:286-295 [Conf]
  26. Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari
    An efficient approach to external cluster assessment with an application to martian topography. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:1, pp:1-23 [Journal]
  27. Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
    Using Meta-Learning to Support Data Mining. [Citation Graph (0, 0)][DBLP]
    IJCSA, 2004, v:1, n:1, pp:31-45 [Journal]

  28. A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. [Citation Graph (, )][DBLP]

  29. Learning and Meta-Learning for Coordination of Autonomous Unmanned Vehicles - A Preliminary Analysis. [Citation Graph (, )][DBLP]

  30. A Conceptual Study of Model Selection in Classification - Multiple Local Models vs One Global Model. [Citation Graph (, )][DBLP]

  31. Evaluation Metrics in Classification: A Quantification of Distance-Bias. [Citation Graph (, )][DBLP]

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