Epileptic seizure prediction using relative spectral power features M Bandarabadi, CA Teixeira, J Rasekhi, A Dourado Clinical Neurophysiology 126 (2), 237-248, 2015 | 311 | 2015 |
Interpretability and learning in neuro-fuzzy systems RP Paiva, A Dourado Fuzzy sets and systems 147 (1), 17-38, 2004 | 188 | 2004 |
The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients J Klatt, H Feldwisch‐Drentrup, M Ihle, V Navarro, M Neufang, C Teixeira, ... Epilepsia 53 (9), 1669-1676, 2012 | 180 | 2012 |
Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods J Rasekhi, MRK Mollaei, M Bandarabadi, CA Teixeira, A Dourado Journal of neuroscience methods 217 (1-2), 9-16, 2013 | 159 | 2013 |
Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients CA Teixeira, B Direito, M Bandarabadi, M Le Van Quyen, M Valderrama, ... Computer methods and programs in biomedicine 114 (3), 324-336, 2014 | 156 | 2014 |
EPILAB: A software package for studies on the prediction of epileptic seizures CA Teixeira, B Direito, H Feldwisch-Drentrup, M Valderrama, RP Costa, ... Journal of Neuroscience Methods 200 (2), 257-271, 2011 | 116 | 2011 |
A realistic seizure prediction study based on multiclass SVM B Direito, CA Teixeira, F Sales, M Castelo-Branco, A Dourado International journal of neural systems 27 (03), 1750006, 2017 | 106 | 2017 |
Slow modulations of high-frequency activity (40–140 Hz) discriminate preictal changes in human focal epilepsy C Alvarado-Rojas, M Valderrama, A Fouad-Ahmed, H Feldwisch-Drentrup, ... Scientific reports 4 (1), 4545, 2014 | 99 | 2014 |
On the proper selection of preictal period for seizure prediction M Bandarabadi, J Rasekhi, CA Teixeira, MR Karami, A Dourado Epilepsy & Behavior 46, 158-166, 2015 | 78 | 2015 |
Epileptic seizure classification using neural networks with 14 features RP Costa, P Oliveira, G Rodrigues, B Leitao, A Dourado Knowledge-Based Intelligent Information and Engineering Systems: 12th …, 2008 | 73 | 2008 |
Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses. S Behbahani, NJ Dabanloo, AM Nasrabadi, CA Teixeira, A Dourado Anatolian Journal of Cardiology/Anadolu Kardiyoloji Dergisi 13 (8), 2013 | 67 | 2013 |
Modeling epileptic brain states using EEG spectral analysis and topographic mapping B Direito, C Teixeira, B Ribeiro, M Castelo-Branco, F Sales, A Dourado Journal of neuroscience methods 210 (2), 220-229, 2012 | 63 | 2012 |
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction MF Pinto, A Leal, F Lopes, A Dourado, P Martins, CA Teixeira Scientific reports 11 (1), 3415, 2021 | 59 | 2021 |
Global optimization of energy and production in process industries: a genetic algorithm application A Santos, A Dourado Control engineering practice 7 (4), 549-554, 1999 | 56 | 1999 |
On-line evolution of Takagi-Sugeno fuzzy models P Angelov, J Victor, A Dourado, D Filev IFAC Proceedings Volumes 37 (16), 67-72, 2004 | 55 | 2004 |
Prediction of epileptic seizures based on heart rate variability S Behbahani, NJ Dabanloo, AM Nasrabadi, A Dourado Technology and Health Care 24 (6), 795-810, 2016 | 44 | 2016 |
Output regularization of svm seizure predictors: Kalman filter versus the “firing power” method C Teixeira, B Direito, M Bandarabadi, A Dourado 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 44 | 2012 |
Epileptic seizure prediction based on ratio and differential linear univariate features J Rasekhi, MRK Mollaei, M Bandarabadi, CA Teixeira, A Dourado Journal of Medical Signals & Sensors 5 (1), 1-11, 2015 | 43 | 2015 |
Modeling and static optimization of the ethanol production in a cascade reactor. I. Modeling A Dourado, G Goma, U Albuquerque, Y Sevely Biotechnology and bioengineering 29 (2), 187-194, 1987 | 43 | 1987 |
Affine neural network-based predictive control applied to a distributed solar collector field P Gil, J Henriques, A Cardoso, P Carvalho, A Dourado IEEE Transactions on control systems technology 22 (2), 585-596, 2013 | 42 | 2013 |