Pavel Brazdil
Pavel Brazdil
Professor at FEP, U.Porto, Member of LIAAD-INESC Tec
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Cited by
Cited by
Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta
Springer Science & Business Media, 2008
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
PB Brazdil, C Soares, JP Da Costa
Machine Learning 50 (3), 251-277, 2003
Cascade generalization
J Gama, P Brazdil
Machine learning 41 (3), 315-343, 2000
Characterizing the applicability of classification algorithms using meta-level learning
P Brazdil, J Gama, B Henery
European conference on machine learning, 83-102, 1994
A meta-learning method to select the kernel width in support vector regression
C Soares, PB Brazdil, P Kuba
Machine learning 54 (3), 195-209, 2004
A comparison of ranking methods for classification algorithm selection
PB Brazdil, C Soares
European conference on machine learning, 63-75, 2000
Introduction to the special issue on meta-learning
C Giraud-Carrier, R Vilalta, P Brazdil
Machine learning 54 (3), 187-193, 2004
Characterization of classification algorithms
J Gama, P Brazdil
Portuguese Conference on Artificial Intelligence, 189-200, 1995
Comparison of SVM and some older classification algorithms in text classification tasks
F Colas, P Brazdil
IFIP International Conference on Artificial Intelligence in Theory and …, 2006
Improved dataset characterisation for meta-learning
Y Peng, PA Flach, C Soares, P Brazdil
International Conference on Discovery Science, 141-152, 2002
Zoomed ranking: Selection of classification algorithms based on relevant performance information
C Soares, PB Brazdil
European conference on principles of data mining and knowledge discovery …, 2000
Using Meta-Learning to Support Data Mining.
R Vilalta, CG Giraud-Carrier, P Brazdil, C Soares
IJCSA 1 (1), 31-45, 2004
Factors influencing hospital high length of stay outliers
A Freitas, T Silva-Costa, F Lopes, I Garcia-Lema, A Teixeira-Pinto, ...
BMC health services research 12 (1), 265, 2012
Selecting classification algorithms with active testing
R Leite, P Brazdil, J Vanschoren
International workshop on machine learning and data mining in pattern …, 2012
Cost-sensitive decision trees applied to medical data
A Freitas, A Costa-Pereira, P Brazdil
International Conference on Data Warehousing and Knowledge Discovery, 303-312, 2007
Knowledge Integration
L Torgo
Current Trends in Knowledge Acquisition 8, 90, 1990
Linear tree
J Gama, P Brazdil
Intelligent Data Analysis 3 (1), 1-22, 1999
Predicting relative performance of classifiers from samples
R Leite, P Brazdil
Proceedings of the 22nd international conference on Machine learning, 497-503, 2005
Learning in distributed systems and multi-agent environments
P Brazdil, M Gams, S Sian, L Torgo, W Van de Velde
European Working Session on Learning, 412-423, 1991
Analysis of results
PB Brazdil, RJ Henery
Machine learning, neural and statistical classification, 175-212, 1994
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