Ricardo Vilalta

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29 Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Machine Learning for Automatic Mapping of Planetary Surfaces. AAAI 2007: 1807-1812
28EEChaofan Sun, Ricardo Vilalta: Data Selection Using SASH Trees for Support Vector Machines. MLDM 2007: 286-295
27EEJaspal Subhlok, Olin Johnson, Venkat Subramaniam, Ricardo Vilalta, Chang Yun: Tablet PC video based hybrid coursework in computer science: report from a pilot project. SIGCSE 2007: 74-78
26EERicardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari: An efficient approach to external cluster assessment with an application to martian topography. Data Min. Knowl. Discov. 14(1): 1-23 (2007)
25EETomasz F. Stepinski, Ricardo Vilalta, Soumya Ghosh: Machine Learning Tools for Automatic Mapping of Martian Landforms. IEEE Intelligent Systems 22(6): 100-106 (2007)
24EETomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. Discovery Science 2006: 255-266
23EEAbraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta: Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005: 565-568
22EEAbraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick: Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005: 24-28
21EEChristoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005: 120-131
20EEBruce Knuteson, Ricardo Vilalta: Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. PKDD 2005: 552-560
19 Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning. The Data Mining and Knowledge Discovery Handbook 2005: 731-748
18 Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Piece-Wise Model Fitting Using Local Data Patterns. ECAI 2004: 559-563
17EEChristoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta: Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. ICDM 2004: 375-378
16EERicardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez: A Quantification of Cluster Novelty with an Application to Martian Topography. PKDD 2004: 434-445
15EERicardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)
14EEChristophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil: Introduction to the Special Issue on Meta-Learning. Machine Learning 54(3): 187-193 (2004)
13EERicardo Vilalta, Irina Rish: A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. ECML 2003: 444-455
12EERicardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. ICDM 2003: 673-676
11EERamendra 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. KDD 2003: 426-435
10EERicardo Vilalta, Sheng Ma: Predicting Rare Events In Temporal Domains. ICDM 2002: 474-481
9 Ricardo Vilalta, Youssef Drissi: A Characterization of Difficult Problems in Classification. ICMLA 2002: 133-138
8EECarlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma: A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002: 125-137
7 Ricardo Vilalta, Youssef Drissi: A Perspective View and Survey of Meta-Learning. Artif. Intell. Rev. 18(2): 77-95 (2002)
6EERicardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002)
5EERicardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish: A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001: 503-514
4EERicardo Vilalta, Chidanand Apté, Sholom M. Weiss: Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000: 37-46
3 Ricardo Vilalta, Daniel Oblinger: A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML 2000: 1087-1094
2 Ricardo Vilalta, Gunnar Blix, Larry A. Rendell: Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. ECML 1997: 312-326
1 Ricardo Vilalta, Larry A. Rendell: Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997: 394-402

Coauthor Index

1Murali-Krishna Achari [12] [16] [18] [26]
2Chidanand Apté [4] [6]
3Abraham Bagherjeiran [21] [22] [23]
4Gunnar Blix [2]
5Pavel Brazdil [14] [15] [19]
6Mark Brodie [5]
7Chun-Sheng Chen [23]
8Carlotta Domeniconi [8]
9Youssef Drissi [7] [9]
10Christoph F. Eick [12] [17] [18] [21] [22] [23]
11Soumya Ghosh [24] [25] [29]
12Christophe G. Giraud-Carrier [14] [15] [19]
13Manish Gupta [11]
14Joseph L. Hellerstein [6]
15Olin Johnson [27]
16Bruce Knuteson [20]
17Sheng Ma [6] [8] [10] [11]
18José E. Moreira [11]
19Daniel Oblinger [3] [5]
20Francisco Ocegueda-Hernandez [16]
21Adam J. Oliner [11]
22Chang-Shing Perng [8]
23Larry A. Rendell [1] [2]
24Irina Rish [5] [11] [13]
25Alain Rouhana [21]
26Ramendra K. Sahoo [11]
27Anand Sivasubramaniam [11]
28Carlos Soares [15]
29Tomasz F. Stepinski [16] [24] [25] [26] [29]
30Jaspal Subhlok [27]
31Venkat Subramaniam [27]
32Chaofan Sun [28]
33Sholom M. Weiss [4] [6]
34Chang Yun [27]
35Nidal M. Zeidat [17]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)