Mojtaba Bandarabadi
Mojtaba Bandarabadi
Research Associate, University of Lausanne
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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
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
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
Thalamic dual control of sleep and wakefulness
TC Gent, M Bandarabadi, CG Herrera, AR Adamantidis
Nature Neuroscience 21, 974–984, 2018
Prediction of fresh and hardened state properties of UHPC: comparative study of statistical mixture design and an artificial neural network model
E Ghafari, M Bandarabadi, H Costa, E Júlio
Journal of Materials in Civil Engineering 27 (11), 04015017, 2015
Combining wavelet transforms and neural networks for image classification
M Lotfi, A Solimani, A Dargazany, H Afzal, M Bandarabadi
Southeastern Symposium on System Theory, 44-48, 2009
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
Airplane detection and tracking using wavelet features and SVM classifier
S Rastegar, A Babaeian, M Bandarabadi, Y Toopchi
Southeastern Symposium on System Theory, 64-67, 2009
Mean shift-based object tracking with multiple features
A Babaeian, S Rastegar, M Bandarabadi, M Rezaei
Southeastern Symposium on System Theory, 68-72, 2009
Output regularization of SVM seizure predictors: Kalman filter versus the “Firing Power” method
C Teixeira, B Direito, M Bandarabadi, A Dourado
Engineering in Medicine and Biology Society (EMBC), 2012 Annual …, 2012
Early seizure detection using neuronal potential similarity: a generalized low-complexity and robust measure
M Bandarabadi, J Rasekhi, CA Teixeira, TI Netoff, KK Parhi, A Dourado
International Journal of Neural Systems 25 (05), 1-18, 2015
EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest
F Zubler, A Steimer, R Kurmann, M Bandarabadi, J Novy, H Gast, M Oddo, ...
Clinical Neurophysiology 128 (4), 635-642, 2017
Epileptic seizure prediction based on ratio and differential linear univariate features
J Rasekhi, MR Karami-Mollaei, M Bandarabadi, C Teixeira, A Dourado
Journal of Medical Signals and Sensors 5 (1), 1-11, 2015
Dynamic modulation of theta–gamma coupling during rapid eye movement sleep
M Bandarabadi, R Boyce, CG Herrera, C Bassetti, S Williams, K Schindler, ...
Sleep 42 (12), 2019
Design of UHPC using artificial neural networks
E Ghafari, M Bandarabadi, H Costa, E Júlio
Brittle Matrix Composites 10, 61-69, 2012
ECG denoising using singular value decomposition
M Bandarabadi, MR Karami, A Afzalian, J Ghasemi
Australian Journal of Basic and Applied Sciences 4, 2109-2113, 2010
Nonlinear subspace clustering using curvature constrained distances
A Babaeian, M Babaee, A Bayestehtashk, M Bandarabadi
Pattern Recognition Letters 68 (1), 118-125, 2015
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
Đ Miladinović, C Muheim, S Bauer, A Spinnler, D Noain, M Bandarabadi, ...
PLoS computational biology 15 (4), e1006968, 2019
Seizure prediction with bipolar spectral power features using Adaboost and SVM classifiers
M Bandarabadi, A Dourado, CA Teixeira, TI Netoff, KK Parhi
Engineering in Medicine and Biology Society (EMBC), 2013 Annual …, 2013
Target tracking using wavelet features and RVM classifier
A Babaeean, AB Tashk, M Bandarabadi, S Rastegar
International Conference on Natural Computation (ICNC) 4, 569-572, 2008
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