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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
14642002
Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta
Springer Science & Business Media, 2008
8862008
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
3862003
Predicting rare events in temporal domains
R Vilalta, S Ma
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 474-481, 2002
2442002
Introduction to the special issue on meta-learning
C Giraud-Carrier, R Vilalta, P Brazdil
Machine learning 54, 187-193, 2004
2272004
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
1612002
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
1582004
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
852022
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
672014
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
612017
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
572012
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
562016
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
532022
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
492019
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
492004
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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