Pavel Brazdil
Pavel Brazdil
Professor Emeritus, FEP, U.Porto, Member of LIAAD-INESC TEC
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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, 251-277, 2003
Cascade generalization
J Gama, P Brazdil
Machine learning 41, 315-343, 2000
Characterizing the applicability of classification algorithms using meta-level learning
P Brazdil, J Gama, B Henery
Machine Learning: ECML-94: European Conference on Machine Learning Catania …, 1994
A comparison of ranking methods for classification algorithm selection
PB Brazdil, C Soares
Machine Learning: ECML 2000: 11th European Conference on Machine Learning …, 2000
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
A meta-learning method to select the kernel width in support vector regression
C Soares, PB Brazdil, P Kuba
Machine learning 54, 195-209, 2004
Introduction to the special issue on meta-learning
C Giraud-Carrier, R Vilalta, P Brazdil
Machine learning 54, 187-193, 2004
Characterization of classification algorithms
J Gama, P Brazdil
Portuguese Conference on Artificial Intelligence, 189-200, 1995
Improved dataset characterisation for meta-learning
Y Peng, PA Flach, C Soares, P Brazdil
Discovery Science: 5th International Conference, DS 2002 Lübeck, Germany …, 2002
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
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, 1-10, 2012
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
Selecting classification algorithms with active testing
R Leite, P Brazdil, J Vanschoren
Machine Learning and Data Mining in Pattern Recognition: 8th International …, 2012
Cost-sensitive decision trees applied to medical data
A Freitas, A Costa-Pereira, P Brazdil
Data Warehousing and Knowledge Discovery: 9th International Conference …, 2007
Fast algorithm selection using learning curves
JN van Rijn, SM Abdulrahman, P Brazdil, J Vanschoren
Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015
Meta-learning-concepts and techniques
R Vilalta, C Giraud-Carrier, P Brazdil
Data mining and knowledge discovery handbook, 717-731, 2010
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
Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991
Knowledge Acquisition via Knowledge Integration
PB Brazdil, L Torgo
Current Trends in Knowledge Acquisition 8, 90-104, 1990
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