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Carlos Soares
Carlos Soares
Associate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOS
Verified email at fe.up.pt
Title
Cited by
Cited by
Year
Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta
Springer Science & Business Media, 2008
8802008
Ensemble approaches for regression: A survey
J Mendes-Moreira, C Soares, AM Jorge, JFD Sousa
Acm computing surveys (csur) 45 (1), 1-40, 2012
7422012
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
5932003
A comparison of ranking methods for classification algorithm selection
PB Brazdil, C Soares
Machine Learning: ECML 2000: 11th European Conference on Machine Learning …, 2000
2642000
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
2272004
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
2202004
Improved dataset characterisation for meta-learning
Y Peng, PA Flach, C Soares, P Brazdil
Discovery Science: 5th International Conference, DS 2002 Lübeck, Germany …, 2002
2052002
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
1692012
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
A Comparative Study of Classification and Regression Algorithms for Modelling Students' Academic Performance.
P Strecht, L Cruz, C Soares, J Mendes-Moreira, R Abreu
International Educational Data Mining Society, 2015
1572015
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
1372000
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
1322015
A case study comparing machine learning with statistical methods for time series forecasting: size matters
V Cerqueira, L Torgo, C Soares
Journal of Intelligent Information Systems 59 (2), 415-433, 2022
115*2022
Meta-features for meta-learning
A Rivolli, LPF Garcia, C Soares, J Vanschoren, AC de Carvalho
Knowledge-Based Systems 240, 108101, 2022
113*2022
A weighted rank measure of correlation
J Pinto da Costa, C Soares
Australian & New Zealand Journal of Statistics 47 (4), 515-529, 2005
1102005
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
1062018
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
932014
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
832016
Arbitrated ensemble for time series forecasting
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
762017
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
732012
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