S Simić

The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method

Milena Čukić, Miodrag Stokić, S Simić et al. · Cognitive Neurodynamics · 2020 · 108 citations · Full text

Neuropsychology, Affective Neuroscience, Feature Extraction +17

Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression

Milena Čukić, Miodrag Stokić, Slavoljub Radenković et al. · International Journal of Methods in Psychiatric Research · 2019 · 72 citations · Full text

FPGA system-level based design of multi-axis ADRC controller

Momir Stanković, Stojadin Manojlović, S Simić et al. · Mechatronics · 2016 · 41 citations

Engineering, Fpga System-level, Mechanical Systems +5

Optimised active disturbance rejection motion control with resonant extended state observer

Momir Stanković, Milan R. Rapaić, Stojadin Manojlović et al. · International Journal of Control · 2017 · 32 citations

Radar, Sinusoidal References, Engineering +13

EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

Milena Čukić, David D. Pokrajac, Miodrag Stokić et al. · arXiv (Cornell University) · 2018 · 28 citations · Full text

Sample Entropy, Neuropsychology, Engineering +28