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Ricardo Vilalta
Ricardo Vilalta
University of Austin
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
A perspective view and survey of meta-learning
R Vilalta, Y Drissi
Artificial intelligence review 18, 77-95, 2002
14772002
Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta
Springer Science & Business Media, 2008
8882008
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
3872003
Predicting rare events in temporal domains
R Vilalta, S Ma
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 474-481, 2002
2432002
Introduction to the special issue on meta-learning
C Giraud-Carrier, R Vilalta, P Brazdil
Machine learning 54, 187-193, 2004
2282004
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
1622002
Using Meta-Learning to Support Data Mining.
R Vilalta, CG Giraud-Carrier, P Brazdil, C Soares
Int. J. Comput. Sci. Appl. 1 (1), 31-45, 2004
1572004
Meta-learning-concepts and techniques
R Vilalta, C Giraud-Carrier, P Brazdil
Data mining and knowledge discovery handbook, 717-731, 2010
912010
The dark machines anomaly score challenge: benchmark data and model independent event classification for the large hadron collider
T Aarrestad, M van Beekveld, M Bona, A Boveia, S Caron, J Davies, ...
SciPost Physics 12 (1), 043, 2022
862022
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
762019
Supervised learning to detect salt body
P Guillen, G Larrazabal, G González, D Boumber, R Vilalta
SEG International Exposition and Annual Meeting, SEG-2015-5931401, 2015
722015
A decomposition of classes via clustering to explain and improve naive bayes
R Vilalta, I Rish
Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003
682003
Method and system for predicting a drill string stuck pipe event
T Goebel, RV Molina, R Vilalta, KD Gupta
US Patent 8,752,648, 2014
662014
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
602012
Disk failure prediction in heterogeneous environments
CAC Rincón, JF Pâris, R Vilalta, AMK Cheng, DDE Long
2017 International Symposium on Performance Evaluation of Computer and …, 2017
592017
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
572016
Applications and techniques for fast machine learning in science
AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ...
Frontiers in big Data 5, 787421, 2022
562022
Probing the fundamental nature of dark matter with the large synoptic survey telescope
A Drlica-Wagner, YY Mao, S Adhikari, R Armstrong, A Banerjee, N Banik, ...
arXiv preprint arXiv:1902.01055, 2019
502019
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
502004
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
472003
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