Antonio Dourado
Cited by
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Epileptic seizure prediction using relative spectral power features
M Bandarabadi, CA Teixeira, J Rasekhi, A Dourado
Clinical Neurophysiology 126 (2), 237-248, 2015
Interpretability and learning in neuro-fuzzy systems
RP Paiva, A Dourado
Fuzzy sets and systems 147 (1), 17-38, 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
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
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
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
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
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
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
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
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
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
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
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
On-line evolution of Takagi-Sugeno fuzzy models
P Angelov, J Victor, A Dourado, D Filev
IFAC Proceedings Volumes 37 (16), 67-72, 2004
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
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
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
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
Supervision and c-Means clustering of PID controllers for a solar power plant
J Henriques, A Cardoso, A Dourado
International Journal of Approximate Reasoning 22 (1-2), 73-91, 1999
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