| Metalearning: Applications to data mining P Brazdil, CG Carrier, C Soares, R Vilalta Springer Science & Business Media, 2008 | 887 | 2008 |
| Ensemble approaches for regression: A survey J Mendes-Moreira, C Soares, AM Jorge, JFD Sousa Acm computing surveys (csur) 45 (1), 1-40, 2012 | 763 | 2012 |
| 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 | 609 | 2003 |
| A comparison of ranking methods for classification algorithm selection PB Brazdil, C Soares Machine Learning: ECML 2000: 11th European Conference on Machine Learning …, 2000 | 264 | 2000 |
| 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 | 227 | 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 Sector, 2004 | 221 | 2004 |
| Improved dataset characterisation for meta-learning Y Peng, PA Flach, C Soares, P Brazdil Discovery Science: 5th International Conference, DS 2002 Lübeck, Germany …, 2002 | 206 | 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 | 168 | 2012 |
| 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 | 160 | 2015 |
| 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 | 157 | 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 | 137 | 2000 |
| 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 | 131* | 2022 |
| 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 | 131 | 2015 |
| Meta-features for meta-learning A Rivolli, LPF Garcia, C Soares, J Vanschoren, AC de Carvalho Knowledge-Based Systems 240, 108101, 2022 | 117 | 2022 |
| A weighted rank measure of correlation J Pinto da Costa, C Soares Australian & New Zealand Journal of Statistics 47 (4), 515-529, 2005 | 112 | 2005 |
| 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 | 109 | 2018 |
| 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 | 94 | 2014 |
| 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 | 82 | 2016 |
| Arbitrated ensemble for time series forecasting V Cerqueira, L Torgo, F Pinto, C Soares Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 79 | 2017 |
| 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 | 73 | 2012 |
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAAD在 fc.up.pt 的电子邮件经过验证
