| Arbitrated ensemble for time series forecasting V Cerqueira, L Torgo, F Pinto, C Soares Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 82 | 2017 |
| Towards automatic generation of metafeatures F Pinto, C Soares, J Mendes-Moreira Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 70 | 2016 |
| Arbitrage of forecasting experts V Cerqueira, L Torgo, F Pinto, C Soares Machine Learning 108, 913-944, 2019 | 46 | 2019 |
| Automatic model monitoring for data streams F Pinto, MOP Sampaio, P Bizarro arXiv preprint arXiv:1908.04240, 2019 | 32 | 2019 |
| Combining boosted trees with metafeature engineering for predictive maintenance V Cerqueira, F Pinto, C Sá, C Soares Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016 | 32 | 2016 |
| Chade: Metalearning with classifier chains for dynamic combination of classifiers F Pinto, C Soares, J Mendes-Moreira Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 25 | 2016 |
| Adaptive threshold estimation for streaming data MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ... US Patent 11,477,220, 2022 | 20 | 2022 |
| Popstar at replab 2013: Name ambiguity resolution on twitter P Saleiro, L Rei, A Pasquali, CM Soares, J Teixeira, F Pinto, M Nozari, ... | 18 | 2013 |
| Combining regression models and metaheuristics to optimize space allocation in the retail industry F Pinto, C Soares, P Brazdil Intelligent Data Analysis 19 (s1), S149-S162, 2015 | 16 | 2015 |
| Space allocation in the retail industry: A decision support system integrating evolutionary algorithms and regression models F Pinto, C Soares Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 13 | 2013 |
| Autobagging: Learning to rank bagging workflows with metalearning F Pinto, V Cerqueira, C Soares, J Mendes-Moreira arXiv preprint arXiv:1706.09367, 2017 | 12 | 2017 |
| A framework to decompose and develop metafeatures F Pinto, CM Soares, JM Moreira | 8 | 2014 |
| Pruning bagging ensembles with metalearning F Pinto, C Soares, J Mendes-Moreira Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015 | 6 | 2015 |
| An empirical methodology to analyze the behavior of bagging F Pinto, C Soares, J Mendes-Moreira Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 5 | 2014 |
| Constructive aggregation and its application to forecasting with dynamic ensembles V Cerqueira, F Pinto, L Torgo, C Soares, N Moniz Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 4 | 2019 |
| Explanation reporting based on differentiation between items in different data groups MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ... US Patent App. 16/667,696, 2020 | 1 | 2020 |
| Simulation of The Ensemble Generation Process: The Divergence Between Data and Model Similarity F Pinto, C Soares, J Mendes-Moreira 28th European Simulation and Modelling Conference, 2014 | 1 | 2014 |
| Automatic model monitoring for data streams MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ... US Patent 11,729,194, 2023 | | 2023 |
| Automatic model monitoring for data streams MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ... US Patent 11,451,568, 2022 | | 2022 |
| Arbitrated Ensemble V Cerqueira, L Torgo, F Pinto, C Soares | | 2018 |
Carlos SoaresAssociate Professor, Faculdade de Engenharia da U. Porto/External Advisor at Fraunhofer AICOSVerified email at fe.up.pt
