A. Khorshidtalab

A probabilistic data-driven method for human activity recognition

Naomie Salim, Pouya Foudeh, Aida Khorshidtalab, 2018, J. Ambient Intell. Smart Environ..

A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification

Aida Khorshidtalab, Hamza Baali, Mostefa Mesbah, 2015, IEEE Journal of Translational Engineering in Health and Medicine.

Robust classification of motor imagery EEG signals using statistical time–domain features

M Hamedi, A Khorshidtalab, M J E Salami, 2013, Physiological measurement.

Modeling of Human Arm Movement: A Study on Daily Movement

Aida Khorshidtalab, Tasnuva Tabashhum Choudhury, Md Raisuddin Khan, 2013, 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation.

Towards authentication of beef, chicken and lard using micro near-infrared spectrometer based on support vector machine classification

Rini Akmeliawati, I. Jaswir, A. Khorshidtalab, 2016 .

EEG signal classification for real-time brain-computer interface applications: A review

M. J. E. Salami, A. Khorshidtalab, M. Salami, 2011, 2011 4th International Conference on Mechatronics (ICOM).

ECG Parametric Modeling Based on Signal Dependent Orthogonal Transform

Rini Akmeliawati, Aida Khorshidtalab, Momoh-Jimoh E. Salami, 2014, IEEE Signal Processing Letters.

Evaluation of time-domain features for motor imagery movements using FCM and SVM

M. J. E. Salami, M. Hamedi, A. Khorshidtalab, 2012, 2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE).

Motor imagery task classification using transformation based features

Rini Akmeliawati, Aida Khorshidtalab, Momoh-Jimoh E. Salami, 2017, Biomed. Signal Process. Control..

Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extraction

Aida Khorshidtalab, Ahmed Al-Ani, Hamza Baali, 2015, ICONIP.