Ricardo Vilalta

	2009
30		Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta: A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. ADMA 2009: 188-199
	2007
29		Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Machine Learning for Automatic Mapping of Planetary Surfaces. AAAI 2007: 1807-1812
28		Chaofan Sun, Ricardo Vilalta: Data Selection Using SASH Trees for Support Vector Machines. MLDM 2007: 286-295
27		Jaspal 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
26		Ricardo 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)
25		Tomasz F. Stepinski, Ricardo Vilalta, Soumya Ghosh: Machine Learning Tools for Automatic Mapping of Martian Landforms. IEEE Intelligent Systems 22(6): 100-106 (2007)
	2006
24		Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. Discovery Science 2006: 255-266
	2005
23		Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta: Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005: 565-568
22		Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick: Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005: 24-28
21		Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005: 120-131
20		Bruce 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
	2004
18		Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Piece-Wise Model Fitting Using Local Data Patterns. ECAI 2004: 559-563
17		Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta: Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. ICDM 2004: 375-378
16		Ricardo 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
15		Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)
14		Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil: Introduction to the Special Issue on Meta-Learning. Machine Learning 54(3): 187-193 (2004)
	2003
13		Ricardo Vilalta, Irina Rish: A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. ECML 2003: 444-455
12		Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. ICDM 2003: 673-676
11		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. KDD 2003: 426-435
	2002
10		Ricardo 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
8		Carlotta 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)
6		Ricardo 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)
	2001
5		Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish: A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001: 503-514
	2000
4		Ricardo 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
	1997
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

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

Colors in the list of coauthors