Siamac Fazli

Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies

Katja Hansen, Grégoire Montavon, Franziska Biegler et al. · Journal of Chemical Theory and Computation · 2013 · 631 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Enhanced performance by a hybrid NIRS–EEG brain computer interface

Siamac Fazli, Jan Mehnert, Jens Steinbrink et al. · NeuroImage · 2011 · 575 citations · Full text

Motor Control, Electroencephalography, Social Sciences +17

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

Min-Ho Lee, Oyeon Kwon, Yong-Jeong Kim et al. · GigaScience · 2019 · 530 citations · Full text

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre et al. · Frontiers in Neuroscience · 2010 · 348 citations · Full text

Motor Control, Bci Research, Social Sciences +17

Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications

Cristian Grozea, C Voinescu, Siamac Fazli · Journal of Neural Engineering · 2011 · 255 citations

Engineering, Wearable Technology, Bci Applications +21