Ricardo Vilalta
Ricardo Vilalta
University of Houston
Verified email at ieee.org - Homepage
Cited by
Cited by
A perspective view and survey of meta-learning
R Vilalta, Y Drissi
Artificial intelligence review 18 (2), 77-95, 2002
Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta
Springer Science & Business Media, 2008
Critical event prediction for proactive management in large-scale computer clusters
RK Sahoo, AJ Oliner, I Rish, M Gupta, JE Moreira, S Ma, R Vilalta, ...
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
Predicting rare events in temporal domains
R Vilalta, S Ma
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 474-481, 2002
Introduction to the special issue on meta-learning
C Giraud-Carrier, R Vilalta, P Brazdil
Machine learning 54 (3), 187-193, 2004
Predictive algorithms in the management of computer systems
R Vilalta, CV Apte, JL Hellerstein, S Ma, SM Weiss
IBM Systems Journal 41 (3), 461-474, 2002
Using Meta-Learning to Support Data Mining.
R Vilalta, CG Giraud-Carrier, P Brazdil, C Soares
IJCSA 1 (1), 31-45, 2004
A decomposition of classes via clustering to explain and improve naive bayes
R Vilalta, I Rish
European Conference on Machine Learning, 444-455, 2003
Meta-learning-concepts and techniques
R Vilalta, C Giraud-Carrier, P Brazdil
Data mining and knowledge discovery handbook, 717-731, 2009
Supervised learning to detect salt body
P Guillen, G Larrazabal*, G González, D Boumber, R Vilalta
SEG Technical Program Expanded Abstracts 2015, 1826-1829, 2015
Using representative-based clustering for nearest neighbor dataset editing
CF Eick, N Zeidat, R Vilalta
Fourth IEEE International Conference on Data Mining (ICDM'04), 375-378, 2004
Class decomposition via clustering: a new framework for low-variance classifiers
R Vilalta, MK Achari, CF Eick
Third IEEE International Conference on Data Mining, 673-676, 2003
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
EEO Ishida, R Beck, S González-Gaitán, RS de Souza, A Krone-Martins, ...
Monthly Notices of the Royal Astronomical Society 483 (1), 2-18, 2019
Digital topography models for Martian surfaces
T Stepinski, R Vilalta
IEEE Geoscience and Remote Sensing Letters 2 (3), 260-264, 2005
Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining
G Toti, R Vilalta, P Lindner, B Lefer, C Macias, D Price
Artificial intelligence in medicine 74, 44-52, 2016
Global data analysis and the fragmentation problem in decision tree induction
R Vilalta, G Blix, L Rendell
European Conference on Machine Learning, 312-326, 1997
Using clustering to learn distance functions for supervised similarity assessment
CF Eick, A Rouhana, A Bagherjeiran, R Vilalta
Engineering Applications of Artificial Intelligence 19 (4), 395-401, 2006
A quantification of distance bias between evaluation metrics in classification
R Vilalta, D Oblinger
ICML, 1087-1094, 2000
Detecting impact craters in planetary images using machine learning
TF Stepinski, W Ding, R Vilalta
Intelligent data analysis for real-life applications: theory and practice …, 2012
A classification approach for prediction of target events in temporal sequences
C Domeniconi, CS Perng, R Vilalta, S Ma
European Conference on Principles of Data Mining and Knowledge Discovery …, 2002
The system can't perform the operation now. Try again later.
Articles 1–20