C.A. Teixeira

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Antonio DouradoProfessor of Informatics Engeneering, University of CoimbraEmail confirmado em dei.uc.pt
Wagner Coelho de Albuquerque PereiraBiomedical Engineering Program - COPPE/ Federal University of Rio de JaneiroEmail confirmado em peb.ufrj.br
M. Graça RuanoProfessor of Signal Processing at University of AlgarveEmail confirmado em ualg.pt
Jorge HenriquesDepartamento de Engenharia Informatica - CISUCEmail confirmado em dei.uc.pt
P CarvalhoProfessor de Engenharia Informática, Universidade de CoimbraEmail confirmado em dei.uc.pt
Bruno DireitoCentre for Informatics and Systems of the University of CoimbraEmail confirmado em uc.pt
Antonio RuanoProfessor of Control Systems, University of AlgarveEmail confirmado em ualg.pt
Björn SchelterUniversity of AberdeenEmail confirmado em abdn.ac.uk
Andreas Schulze-BonhageProfessor der Medizin, Albert-Ludwigs-Universität FreiburgEmail confirmado em uniklinik-freiburg.de
Miguel Castelo-BrancoProfessor, Faculty of Medicine, IBILI, ICNAS, Coimbra, PortugalEmail confirmado em fmed.uc.pt
Jalil RasekhiEmail confirmado em ece.ut.ac.ir
Ricardo CouceiroResearcher, Departamento de Engenharia Informática, Universidade de Coimbra, CISUCEmail confirmado em dei.uc.pt
Mario ValderramaProfesor Asociado, Departamento de Ingeniería Biomédica, Universidad de Los AndesEmail confirmado em uniandes.edu.co
Alberto CardosoAssociate Professor at University of Coimbra (Portugal)Email confirmado em dei.uc.pt
Andre Victor AlvarengaNational Physical LaboratoryEmail confirmado em npl.co.uk
Rui Pedro PaivaProfessor @ University of Coimbra, PortugalEmail confirmado em dei.uc.pt
Marco Antonio von KrügerFederal University of Rio de JaneiroEmail confirmado em peb.ufrj.br
Nicos Maglaveras, FEAMBESProfessor - Aristotle University of Thessaloniki - School of Medicine - 2nd Dept. of ObstetricsEmail confirmado em auth.gr
Ioanna ChouvardaAssociate Professor, Medical Informatics & Biomedical Data Analysis, Aristotle UniversityEmail confirmado em auth.gr
Catalina Alvarado-Rojas, PhDAssociate Professor, Department of Electronics Engineering, Pontificia Universidad Javeriana, BogotáEmail confirmado em javeriana.edu.co

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C.A. Teixeira

Associate Professor with Habilitation-DEI-CISUC-University of Coimbra

Email confirmado em dei.uc.pt - Página inicial

Biomedical Signal Processing Epileptic Seizure Prediction/Forecasting


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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	315	2015
EPILEPSIAE–A European epilepsy database M Ihle, H Feldwisch-Drentrup, CA Teixeira, A Witon, B Schelter, J Timmer, ... Computer methods and programs in biomedicine 106 (3), 127-138, 2012	268	2012
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	185	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	166	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	164	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	111	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	101	2014
Prediction of disease progression and outcomes in multiple sclerosis with machine learning MF Pinto, H Oliveira, S Batista, L Cruz, M Pinto, I Correia, P Martins, ... Scientific reports 10 (1), 21038, 2020	100	2020
Nonlinear identification of aircraft gas-turbine dynamics AE Ruano, PJ Fleming, C Teixeira, K RodrıGuez-Vázquez, CM Fonseca Neurocomputing 55 (3-4), 551-579, 2003	84	2003
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	80	2015
Using the Jupyter notebook as a tool to support the teaching and learning processes in engineering courses A Cardoso, J Leitão, C Teixeira The Challenges of the Digital Transformation in Education: Proceedings of …, 2019	74	2019
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	69	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	64	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
Automating orthogonal defect classification using machine learning algorithms F Lopes, J Agnelo, CA Teixeira, N Laranjeiro, J Bernardino Future generation computer systems 102, 932-947, 2020	49	2020
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
Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review F Fernandes, I Barbalho, D Barros, R Valentim, C Teixeira, J Henriques, ... Biomedical engineering online 20 (1), 61, 2021	43	2021
Detection of wheezes using their signature in the spectrogram space and musical features L Mendes, IM Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015	42	2015

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