Wavelet-based EEG denoising for automatic sleep stage classification. - Edson Estrada; Homer Nazeran; Gustavo Sierra; Farideh Ebrahimi; Seyed Kamaledin Setarehdan (CONIELECOMP, 2011)

Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. - Farideh Ebrahimi; Seyed Kamaledin Setarehdan; Jose Ayala-Moyeda; Homer Nazeran (Comput. Methods Programs Biomed., 2013)

Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs. - Farideh Ebrahimi; Seyed Kamaledin Setarehdan; Homer Nazeran (Biomed. Signal Process. Control., 2015)

Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programs. - Iman Alizadeh; Farideh Ebrahimi (Educ. Inf. Technol., 2019)

A hierarchical structure based on Stacking approach for skin lesion classification. - Ghasem Shakourian Ghalejoogh; Hussain Montazery Kordy; Farideh Ebrahimi (Expert Syst. Appl., 2020)

A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals. - Zahra Khademi; Farideh Ebrahimi; Hussain Montazery Kordy (Comput. Biol. Medicine, 2022)

T1-weighted structural Magnetic Resonance Images-driven brain age estimation in epileptic patients using convolutional neural networks. - Hamed Amin; Farideh Ebrahimi; Mehdi Ezoji (Biomed. Signal Process. Control., 2026)