Carlos Soares
Carlos Soares
Associate Professor, Faculdade de Engenharia, Universidade do Porto / Fraunhofer AICOS / LIACC
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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
Ensemble approaches for regression: A survey
J Mendes-Moreira, C Soares, AM Jorge, JFD Sousa
Acm computing surveys (csur) 45 (1), 1-40, 2012
A comparison of ranking methods for classification algorithm selection
PB Brazdil, C Soares
European conference on machine learning, 63-75, 2000
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
Outlier detection using clustering methods: a data cleaning application
A Loureiro, L Torgo, C Soares
Proceedings of KDNet Symposium on Knowledge-based Systems for the Public …, 2004
Improved dataset characterisation for meta-learning
Y Peng, PA Flach, C Soares, P Brazdil
International Conference on Discovery Science, 141-152, 2002
Combining meta-learning and search techniques to select parameters for support vector machines
TAF Gomes, RBC Prudêncio, C Soares, ALD Rossi, A Carvalho
Neurocomputing 75 (1), 3-13, 2012
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
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
A Comparative Study of Classification and Regression Algorithms for Modelling Students' Academic Performance.
P Strecht, LÃ Cruz, C Soares, JÃ Mendes-Moreira
International Educational Data Mining Society, 2015
Customer segmentation in a large database of an online customized fashion business
PQ Brito, C Soares, S Almeida, A Monte, M Byvoet
Robotics and Computer-Integrated Manufacturing 36, 93-100, 2015
Decision tree-based data characterization for meta-learning
Y Pavel, BC Soares
IDDM-2002 111, 2002
A weighted rank measure of correlation
J Pinto da Costa, C Soares
Australian & New Zealand Journal of Statistics 47 (4), 515-529, 2005
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data
ALD Rossi, ACP de Leon Ferreira, C Soares, BF De Souza
Neurocomputing 127, 52-64, 2014
Comparing state-of-the-art regression methods for long term travel time prediction
J Mendes-Moreira, AM Jorge, JF de Sousa, C Soares
Intelligent Data Analysis 16 (3), 427-449, 2012
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering
T Cunha, C Soares, AC de Carvalho
Information Sciences 423, 128-144, 2018
Selection of algorithms to solve traveling salesman problems using meta-learning 1
J Kanda, A Carvalho, E Hruschka, C Soares
International Journal of Hybrid Intelligent Systems 8 (3), 117-128, 2011
Meta-learning to select the best meta-heuristic for the traveling salesman problem: A comparison of meta-features
J Kanda, A de Carvalho, E Hruschka, C Soares, P Brazdil
Neurocomputing 205, 393-406, 2016
Sampling-based relative landmarks: Systematically test-driving algorithms before choosing
C Soares, J Petrak, P Brazdil
Portuguese conference on artificial intelligence, 88-95, 2001
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