The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.621secs, Finished in 0.623secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002