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 · 645 citations · Full text

Natural Sciences, Chemistry, Machine Learning +16

Enhanced performance by a hybrid NIRS–EEG brain computer interface

Siamac Fazli, Jan Mehnert, Jens Steinbrink et al. · NeuroImage · 2011 · 583 citations · Full text

Engineering, Neuroscience, Neural Engineering +16

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 · 564 citations · Full text

Nursing, Neuroscience, Human-computer Interaction +16

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

Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre et al. · Frontiers in Neuroscience · 2010 · 354 citations · Full text

Engineering, Neuroscience, Assistive Technology +16

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 · 256 citations

Engineering, Bioengineering, Biomedical Engineering +17