| Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows ES Rosa, RM Salgado, T Ohishi, N Mastelari International Journal of Multiphase Flow 36 (9), 738-754, 2010 | 177 | 2010 |
| A hybrid ensemble model applied to the short-term load forecasting problem RM Salgado, JJF Pereira, T Ohishi, R Ballini, CAM Lima, FJ Von Zuben The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 26 | 2006 |
| A short-term bus load forecasting system RM Salgado, T Ohishi, R Ballini 2010 10th International Conference on Hybrid Intelligent Systems, 55-60, 2010 | 24 | 2010 |
| A hybrid approach to the load forecasting based on decision trees RM Salgado, RR Lemes Journal of Control, Automation and Electrical Systems 24, 854-862, 2013 | 16 | 2013 |
| An hybrid aggregate model applied to the short-term bus load forecasting problem RM Salgado, R Ballini, T Ohishi 2009 IEEE Bucharest PowerTech, 1-8, 2009 | 16 | 2009 |
| Flow instability detection in offshore oil wells with multivariate time series machine learning classifiers BG Carvalho, REV Vargas, RM Salgado, CJ Munaro, FM Varejão 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 1-6, 2021 | 13 | 2021 |
| Clustering bus load curves RS Salgado, T Ohishi, R Ballini IEEE PES Power Systems Conference and Exposition, 2004., 1251-1256, 2004 | 13 | 2004 |
| An intelligent decision support system to investment in the stock market JA Macedo, LTO Camargo, HCB de Oliveira, LE da Silva, RM Salgado IEEE Latin America Transactions 11 (2), 812-819, 2013 | 10 | 2013 |
| An empirical analysis of MLP neural networks applied to streamflow forecasting R Menezes IEEE Latin America Transactions 9 (3), 295-301, 2011 | 10 | 2011 |
| Hyperparameter tuning and feature selection for improving flow instability detection in offshore oil wells BG Carvalho, REV Vargas, RM Salgado, CJ Munaro, FM Varejão 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021 | 8 | 2021 |
| IoT applied to environmental monitoring in oysters' farms V Viegas, JMD Pereira, P Girão, O Postolache, R Salgado 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI …, 2018 | 7 | 2018 |
| Intelligent models to identification and treatment of outliers in electrical load data RM Salgado, TC Machado, T Ohishi IEEE Latin America Transactions 14 (10), 4279-4286, 2016 | 7 | 2016 |
| Very short-term bus reactive load forecasting models based on KDD approach EF Franco, T Ohishi, RM Salgado 2017 IEEE 7th International Conference on Power and Energy Systems (ICPES …, 2017 | 6 | 2017 |
| Controle de inércia não monotônico na otimização por enxame de partículas. T Silveira, HCB de Oliveira, LE da Silva, RM Salgado Scientia 20 (2), 2009 | 6 | 2009 |
| Short-term load forecasting using support vector machines JJF Pereira, RM Salgado, T Ohishi, R Ballini IEEE PES Transmission and Distribution Conference, 2006 | 6 | 2006 |
| Expert system for dam assessment and emergency detection M Leone-Filho, DAF Balbi, AE Toscano, PSF Barbosa, RM Salgado, ... 6th International conference on flood management, 2014 | 5 | 2014 |
| Machine learning methods for the prediction of milk fatty acid content J Petrini, RM Salgado, MAP Rodriguez, PF Machado, GB Mourao International Journal of Dairy Technology 75 (3), 553-562, 2022 | 4 | 2022 |
| Modelos de Inteligência Computacional para Geração de Séries Sintéticas de Vazões Médias Mensais RM Salgado, I Luna, R Ballini, S Soares, D da Silva Filho Learning and Nonlinear Models 10 (3), 166-174, 2012 | 4 | 2012 |
| Sistema de suporte á decisão para análise e previsão de carga por barramento RM Salgado Universidade Estadual de Campinas, 2009 | 4 | 2009 |
| Hybrid optical fiber sensor and artificial neural network system for bioethanol quality control and productivity enhancement E Gusken, RM Salgado, CEV Rossell, T Ohishi, CK Suzuki 19th International Conference on Optical Fibre Sensors 7004, 437-440, 2008 | 4 | 2008 |
Takaaki OhishiProfessor na Faculdade de Engenharia Elétrica e de Computação, UnicampZweryfikowany adres z densis.fee.unicamp.br
