Fábio Pinto
Fábio Pinto
Automaise
Zweryfikowany adres z inesctec.pt
Tytuł
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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
492017
Towards automatic generation of metafeatures
F Pinto, C Soares, J Mendes-Moreira
Pacific-Asia conference on knowledge discovery and data mining, 215-226, 2016
452016
Popstar at replab 2013: Name ambiguity resolution on twitter
P Saleiro, L Rei, A Pasquali, CM Soares, J Teixeira, F Pinto, M Nozari, ...
182013
Arbitrage of forecasting experts
V Cerqueira, L Torgo, F Pinto, C Soares
Machine Learning 108 (6), 913-944, 2019
172019
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
172016
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
142016
Automatic model monitoring for data streams
F Pinto, MOP Sampaio, P Bizarro
arXiv preprint arXiv:1908.04240, 2019
132019
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
112015
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
82013
A framework to decompose and develop metafeatures
F Pinto, CM Soares, JM Moreira
52014
Pruning bagging ensembles with metalearning
F Pinto, C Soares, J Mendes-Moreira
International Workshop on Multiple Classifier Systems, 64-75, 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
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
32018
autobagging: Learning to rank bagging workflows with metalearning
F Pinto, V Cerqueira, C Soares, J Mendes-Moreira
arXiv preprint arXiv:1706.09367, 2017
22017
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
12014
Automatic model monitoring for data streams
MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ...
US Patent App. 16/667,674, 2020
2020
Adaptive threshold estimation for streaming data
MOP Sampaio, FHSC Pinto, PGSR Bizarro, PCL e Silva, AMC Ruela, ...
US Patent App. 16/667,685, 2020
2020
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
2020
Arbitrated Ensemble
V Cerqueira, L Torgo, F Pinto, C Soares
2018
Leveraging Metalearning for Bagging Classifiers
FHSC Pinto
PQDT-Global, 2018
2018
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