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2020 – today
- 2022
[j5]Zahra Khademi
, Farideh Ebrahimi, Hussain Montazery Kordy:
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals. Comput. Biol. Medicine 143: 105288 (2022)- 2020
- [j4]Ghasem Shakourian Ghalejoogh, Hussain Montazery Kordy, Farideh Ebrahimi:
A hierarchical structure based on Stacking approach for skin lesion classification. Expert Syst. Appl. 145: 113127 (2020)
2010 – 2019
- 2019
- [j3]Iman Alizadeh, Farideh Ebrahimi:
Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programs. Educ. Inf. Technol. 24(6): 3289-3309 (2019) - 2015
- [j2]Farideh Ebrahimi, Seyed Kamaledin Setarehdan, Homer Nazeran:
Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs. Biomed. Signal Process. Control. 18: 69-79 (2015) - 2013
- [j1]Farideh Ebrahimi, Seyed Kamaledin Setarehdan, Jose Ayala-Moyeda, Homer Nazeran:
Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. Comput. Methods Programs Biomed. 112(1): 47-57 (2013) - 2011
- [c1]Edson Estrada, Homer Nazeran, Gustavo Sierra, Farideh Ebrahimi, Seyed Kamaledin Setarehdan:
Wavelet-based EEG denoising for automatic sleep stage classification. CONIELECOMP 2011: 295-298
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