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Carlos Soares
2010 – today
- 2013
[j9]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems. Inf. Process. Manage. 49(3): 698-720 (2013)- [c48]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge: Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science 2013: 155-169
- [c47]Fábio Pinto, Carlos Soares: Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models. ECML/PKDD (3) 2013: 531-546
- 2012
- [j8]João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa: Ensemble approaches for regression: A survey. ACM Comput. Surv. 45(1): 10 (2012)
- [j7]João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares: Comparing state-of-the-art regression methods for long term travel time prediction. Intell. Data Anal. 16(3): 427-449 (2012)
- [j6]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. Carvalho: Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75(1): 3-13 (2012)
- [c46]Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe: Multilayer Perceptron for Label Ranking. ICANN (2) 2012: 25-32
- [c45]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares: An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. ICCSA (3) 2012: 562-575
- [c44]Jorge Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce Leon Ferreira de Carvalho: A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. ICONIP (3) 2012: 488-495
- [c43]Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo: Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA 2012: 139-149
- [c42]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares: Multi-objective optimization and Meta-learning for SVM parameter selection. IJCNN 2012: 1-8
- [c41]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. Carvalho, Carlos Soares: Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN 2012: 1-6
- [c40]André Luis Debiaso Rossi, André C. P. L. F. Carvalho, Carlos Soares: Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. SBRN 2012: 7-12
- [c39]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares: Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. SMC 2012: 2909-2914
- 2011
- [j5]Jorge Kanda, André Carlos Ponce Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares: Selection of algorithms to solve traveling salesman problems using meta-learning. Int. J. Hybrid Intell. Syst. 8(3): 117-128 (2011)
- [c38]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) 2011: 164-171
- [c37]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) 2011: 454-461
- [c36]Jorge Kanda, André Carlos Ponce Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares: Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. ICMLA (1) 2011: 346-351
- [c35]Américo Lopes Azevedo, João Bastos, António Almeida, Carlos Soares, Nicola Magaletti, Enrico Del Grosso, Dieter Stellmach, Marcus Winkler, Rosanna Fornasiero, Andrea Zangiacomi, Andrea Chiodi: Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach. PRO-VE 2011: 69-76
- [c34]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN 2011: 1082-1089
- [c33]Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa: Mining Association Rules for Label Ranking. PAKDD (2) 2011: 432-443
- [c32]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems. Web Intelligence 2011: 92-95
- [i1]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Using Contextual Information as Virtual Items on Top-N Recommender Systems. CoRR abs/1111.2948 (2011)
- 2010
- [c31]Artur Aiguzhinov, Carlos Soares, Ana Paula Serra: A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation. Discovery Science 2010: 16-26
- [c30]Bruno Feres de Souza, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares: Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification. IBERAMIA 2010: 194-203
- [c29]Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares: A comprehensive comparison of ML algorithms for gene expression data classification. IJCNN 2010: 1-8
- [c28]Carlos Soares, Miguel Calejo: Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL. ISoLA (1) 2010: 276-284
- [c27]Jorge Kanda, André Carlos Ponce Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares: Using Meta-learning to Classify Traveling Salesman Problems. SBRN 2010: 73-78
- [c26]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce Leon Ferreira de Carvalho: Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN 2010: 79-84
- [r3]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Inductive Transfer. Encyclopedia of Machine Learning 2010: 545-548
- [r2]Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares: Metalearning. Encyclopedia of Machine Learning 2010: 662-666
2000 – 2009
- 2009
- [b1]Pavel Brazdil, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta: Metalearning - Applications to Data Mining. Cognitive Technologies, Springer 2009, ISBN 978-3-540-73262-4, pp. I-X, 1-176
- [c25]Luís Torgo, Welma Pereira, Carlos Soares: Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. EPIA 2009: 435-446
- [c24]Pedro Abreu, Carlos Soares, Jorge M. S. Valente: Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines. LION 2009: 134-147
- [c23]João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa: Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. MLDM 2009: 191-205
- [c22]Carlos Soares: UCI++: Improved Support for Algorithm Selection Using Datasetoids. PAKDD 2009: 499-506
- [c21]João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa: The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. PAKDD 2009: 689-696
- [r1]Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta: Meta-Learning. Encyclopedia of Data Warehousing and Mining 2009: 1207-1215
- 2008
- [c20]André L. D. Rossi, André C. P. L. F. Carvalho, Carlos Soares: Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. HIS 2008: 435-440
- [c19]Bruno Feres de Souza, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares: Metalearning for Gene Expression Data Classification. HIS 2008: 441-446
- [c18]André L. D. Rossi, Carlos Soares, André C. P. L. F. Carvalho: Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. ICONIP (2) 2008: 252-259
- [c17]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization. Web Intelligence 2008: 789-792
- 2007
- [c16]Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alípio Mário Jorge, Rui Brandão: Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study. EPIA Workshops 2007: 437-448
- 2006
- [j4]Rayid Ghani, Carlos Soares: Data mining for business applications: KDD-2006 workshop. SIGKDD Explorations 8(2): 79-81 (2006)
- [c15]Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge: A Web-Based System to Monitor the Quality of Meta-Data in Web Portals. IAT Workshops 2006: 188-191
- [c14]João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa: Improving SVM-Linear Predictions Using CART for Example Selection. ISMIS 2006: 632-641
- [c13]Carlos Soares, Pavel Brazdil: Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC 2006: 564-568
- [c12]Carla Carvalho, Alípio Mário Jorge, Carlos Soares: Personalization of E-newsletters Based on Web Log Analysis and Clustering. Web Intelligence 2006: 724-727
- [c11]Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alípio Mário Jorge: Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users. Web Intelligence 2006: 987-990
- 2005
- [c10]Carlos Soares, Alípio Mário Jorge, Marcos Aurélio Domingues: Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. EPIA 2005: 371-382
- 2004
- [j3]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)
- [j2]Carlos Soares, Pavel Brazdil, Petr Kuba: A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Machine Learning 54(3): 195-209 (2004)
- 2003
- [j1]Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa: Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Machine Learning 50(3): 251-277 (2003)
- [c9]
- 2002
- [c8]Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil: Improved Dataset Characterisation for Meta-learning. Discovery Science 2002: 141-152
- [c7]Carlos Soares, Pavel Brazdil: A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA 2002: 80-89
- 2001
- [c6]Pavel Brazdil, Carlos Soares, Rui Pereira: Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA 2001: 14-21
- [c5]Carlos Soares, Johann Petrak, Pavel Brazdil: Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA 2001: 88-95
- 2000
- [c4]Pavel Brazdil, Carlos Soares: A Comparison of Ranking Methods for Classification Algorithm Selection. ECML 2000: 63-74
- [c3]Carlos Soares, Pavel Brazdil: Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD 2000: 126-135
1990 – 1999
- 1998
- [c2]João Gama, Luís Torgo, Carlos Soares: Dynamic Discretization of Continuous Attributes. IBERAMIA 1998: 160-169
- 1997
- [c1]Carlos Soares, Miguel Calejo: From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog. LPE 1997: 60-69
Coauthor Index
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last updated on 2013-10-02 11:03 CEST by the dblp team