A systematic literature review of machine learning methods applied to predictive maintenance TP Carvalho, FA Soares, R Vita, RP Francisco, JP Basto, SGS Alcalá Computers & Industrial Engineering 137, 106024, 2019 | 1126 | 2019 |
An adaptive ensemble of on-line extreme learning machines with variable forgetting factor for dynamic system prediction SG Soares, R Araújo Neurocomputing 171, 693-707, 2016 | 83 | 2016 |
An on-line weighted ensemble of regressor models to handle concept drifts S Gomes Soares, R Araújo Engineering Applications of Artificial Intelligence 37 (0), 392-406, 2015 | 77 | 2015 |
Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development S Soares, CH Antunes, R Araújo Neurocomputing 121, 498-511, 2013 | 73 | 2013 |
A dynamic and on-line ensemble regression for changing environments SG Soares, R Araújo Expert Systems with Applications 42 (6), 2935-2948, 2015 | 62 | 2015 |
Design approach for additive manufacturing in spare part supply chains FM de Brito, G da Cruz, EM Frazzon, JPTV Basto, SGS Alcalá IEEE Transactions on Industrial Informatics 17 (2), 757-765, 2021 | 21 | 2021 |
Ensemble learning methodologies for soft sensor development in industrial processes SG Soares | 17 | 2015 |
A genetic algorithm for designing neural network ensembles S Soares, C Antunes, R Araújo Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 17 | 2012 |
Design and application of soft sensor using ensemble methods S Soares, R Araújo, P Sousa, F Souza ETFA2011, 1-8, 2011 | 17 | 2011 |
Building distributed soft sensors SG Soares, TB Takáo, AF Da Rocha, RAM Araújo, TMGA Barbosa International Journal of Computer Information Systems and Industrial …, 2011 | 15 | 2011 |
Static gestures recognition for Brazilian sign language with kinect sensor SB Carneiro, EDFM Santos, MDA Talles, JO Ferreira, SGS Alcalá, ... 2016 IEEE SENSORS, 1-3, 2016 | 13 | 2016 |
Industrial IoT integrated with simulation-A digital twin approach to support real-time decision making R Santos, J Basto, SGS Alcalá, E Frazzon, A Azevedo The Third European International Conference on Industrial Engineering and …, 2019 | 12 | 2019 |
Recurrent neural network based on statistical recurrent unit for remaining useful life estimation AR de Miranda, TMG de Andrade Barbosa, AGS Conceiçao, SGS Alcalá 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 425-430, 2019 | 11 | 2019 |
Comparison of selection and combination strategies for demand forecasting methods SG Bandeira, SGS Alcalá, RO Vita, TMGA Barbosa Production 30, e20200009, 2020 | 10 | 2020 |
Variable selection based on mutual information for soft sensors applications F Souza, R Araújo, S Soares, J Mendes Proceedings of the 9th Portuguese Conference on Automatic Control (Controlo …, 2010 | 10 | 2010 |
Embedding a Neural Network into WSN furniture SG Soares, AF da Rocha, TMGA Barbosa, RA de Matos Araújo 2010 10th International Conference on Hybrid Intelligent Systems, 219-222, 2010 | 10 | 2010 |
An Optimization Model for the Design of Additive Manufacturing Supply Chains FM BRITO, G CRUZ JUNIOR, EM FRAZZON, JP BASTO, SGS ALCALA IEEE International Conference on Industrial Informatics (INDIN), 1-4, 2019 | 8 | 2019 |
A simulation approach for spare parts supply chain management N Caldas, JP de Sousa, SGS Alcalá, E Frazzon, S Moniz The Third European International Conference on Industrial Engineering and …, 2019 | 8 | 2019 |
Semantic Place Labeling Using a Probabilistic Decision List of AdaBoost Classifiers SG Soares, R Araújo International Journal of Computer Information Systems and Industrial …, 2014 | 8 | 2014 |
Optimal design of additive manufacturing supply chains J Basto, JS Ferreira, SGS Alcalá, E Frazzon, S Moniz The Third European International Conference on Industrial Engineering and …, 2019 | 7 | 2019 |