Epileptic seizure prediction using relative spectral power features M Bandarabadi, CA Teixeira, J Rasekhi, A Dourado Clinical Neurophysiology 126 (2), 237-248, 2015 | 310 | 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 | 259 | 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 | 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 | 114 | 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 |
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 | 89 | 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 | 82 | 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 | 78 | 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 | 69 | 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 | 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 | 58 | 2021 |
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 | 48 | 2020 |
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 |
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 |
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 | 41 | 2021 |