Antonio Dourado

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C.A. TeixeiraAssociate Professor with Habilitation-DEI-CISUC-University of CoimbraVerified email at dei.uc.pt
Jorge HenriquesDepartamento de Engenharia Informatica - CISUCVerified email at dei.uc.pt
Bruno DireitoCentre for Informatics and Systems of the University of CoimbraVerified email at uc.pt
Paulo GilNOVA School of Science and Technology, Lisbon, PortugalVerified email at fct.unl.pt
P CarvalhoProfessor de Engenharia Informática, Universidade de CoimbraVerified email at dei.uc.pt
Bernardete RibeiroProfessor at Dep of Informatics Engineering, CISUC /University of CoimbraVerified email at dei.uc.pt
Alberto CardosoAssociate Professor at University of Coimbra (Portugal)Verified email at dei.uc.pt
Björn SchelterUniversity of AberdeenVerified email at abdn.ac.uk
Andreas Schulze-BonhageProfessor der Medizin, Albert-Ludwigs-Universität FreiburgVerified email at uniklinik-freiburg.de
Jalil RasekhiVerified email at ece.ut.ac.ir
Rui Pedro PaivaProfessor @ University of Coimbra, PortugalVerified email at dei.uc.pt
Mario ValderramaProfesor Asociado, Departamento de Ingeniería Biomédica, Universidad de Los AndesVerified email at uniandes.edu.co
Ali Motie NasrabadiProfessor of Biomedical engineering, Shahed UniversityVerified email at shahed.ac.ir
Rui Ponte CostaGroup Leader/Principal Investigator, University of OxfordVerified email at dpag.ox.ac.uk
carlos pereiraCISUC - University coimbraVerified email at dei.uc.pt
Amâncio SantosPolytechnic Institute of Coimbra - ISECVerified email at isec.pt
Catalina Alvarado-Rojas, PhDAssociate Professor, Department of Electronics Engineering, Pontificia Universidad Javeriana, BogotáVerified email at javeriana.edu.co
Miguel Castelo-BrancoProfessor, Faculty of Medicine, IBILI, ICNAS, Coimbra, PortugalVerified email at fmed.uc.pt
Ernesto CostaProfessor of Computer Science, University of CoimbraVerified email at dei.uc.pt
Stavros D. NikolopoulosDepartment of Computer Science and Engineering, University of IoanninaVerified email at cs.uoi.gr

Antonio Dourado

Professor of Informatics Engeneering, University of Coimbra

Verified email at dei.uc.pt - Homepage

Computational Intelligence Machine Lerning Biomedical Engineering Automatic Control Signal Processing


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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	319	2015
Interpretability and learning in neuro-fuzzy systems RP Paiva, A Dourado Fuzzy sets and systems 147 (1), 17-38, 2004	192	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	187	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	168	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	165	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	123	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	113	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	103	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	84	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	72	2013
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	65	2021
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	64	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	57	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
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	48	2015
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	48	2012
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	45	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	43	2013
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

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