Fábio Pinto
Fábio Pinto
Verified email at inesctec.pt
TitleCited byYear
Towards automatic generation of metafeatures
F Pinto, C Soares, J Mendes-Moreira
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 215-226, 2016
242016
Arbitrated ensemble for time series forecasting
V Cerqueira, L Torgo, F Pinto, C Soares
Joint European conference on machine learning and knowledge discovery in …, 2017
232017
Popstar at replab 2013: Name ambiguity resolution on twitter
P Saleiro, L Rei, A Pasquali, CM Soares, J Teixeira, F Pinto, M Nozari, ...
162013
Chade: Metalearning with classifier chains for dynamic combination of classifiers
F Pinto, C Soares, J Mendes-Moreira
Joint european conference on machine learning and knowledge discovery in …, 2016
102016
Combining boosted trees with metafeature engineering for predictive maintenance
V Cerqueira, F Pinto, C Sá, C Soares
International Symposium on Intelligent Data Analysis, 393-397, 2016
92016
Arbitrage of forecasting experts
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning 108 (6), 913-944, 2019
62019
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
42015
An empirical methodology to analyze the behavior of bagging
F Pinto, C Soares, J Mendes-Moreira
International Conference on Advanced Data Mining and Applications, 199-212, 2014
42014
A framework to decompose and develop metafeatures
F Pinto, CM Soares, JM Moreira
42014
Space allocation in the retail industry: a decision support system integrating evolutionary algorithms and regression models
F Pinto, C Soares
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
42013
Pruning bagging ensembles with metalearning
F Pinto, C Soares, J Mendes-Moreira
International Workshop on Multiple Classifier Systems, 64-75, 2015
32015
Automatic Model Monitoring for Data Streams
F Pinto, MOP Sampaio, P Bizarro
arXiv preprint arXiv:1908.04240, 2019
12019
autoBagging: Learning to Rank Bagging Workflows with Metalearning
F Pinto, V Cerqueira, C Soares, J Mendes-Moreira
arXiv preprint arXiv:1706.09367, 2017
12017
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles
V Cerqueira, F Pinto, L Torgo, C Soares, N Moniz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
2018
Leveraging Metalearning for Bagging Classifiers
FHSC Pinto
2018
Arbitrated Ensemble
V Cerqueira, L Torgo, F Pinto, C Soares
2018
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
2014
Otimização e Elasticidade de Espaço por Categoria de Produtos em Lojas de Retalho
FHSC Pinto
2012
Predicting the Accuracy of Regression Models in the Retail Industry1
F Pinto, C Soares
5 th PLANNING TO LEARN WORKSHOP WS28 AT ECAI 2012, 28, 2012
2012
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Articles 1–19