Ali Abdollahi Gharbali
Title
Cited by
Cited by
Year
Investigating the contribution of distance-based features to automatic sleep stage classification
AA Gharbali, S Najdi, JM Fonseca
Computers in Biology and Medicine 96, 8-23, 2018
152018
Analysis of ferroresonance in a 20kV distribution network
G Mokryani, MR Haghifam, H Latafat, P Aliparast, A Abdollahy
2009 2nd International Conference on Power Electronics and Intelligent …, 2009
142009
Detection of inrush current based on wavelet transform and LVQ neural network
G Mokryani, MR Haghifam, H Latafat, P Aliparast, A Abdollahy
IEEE PES T&D 2010, 1-5, 2010
112010
Feature transformation based on stacked sparse autoencoders for sleep stage classification
S Najdi, AA Gharbali, JM Fonseca
Doctoral Conference on Computing, Electrical and Industrial Systems, 191-200, 2017
92017
Speech enhancement using combinational adaptive filtering
A Abdollahy, M Geravanchizadeh
2008 International Symposium on Telecommunications, 774-777, 2008
72008
A comparison of feature ranking and rank aggregation techniques in automatic sleep stage classification based on polysomnographic signals
S Najdi, AA Gharbali, JM Fonseca
International Conference on Bioinformatics and Biomedical Engineering, 230-241, 2016
62016
Feature ranking and rank aggregation for automatic sleep stage classifcation: a comparative study
AAGJMF Shirin Najdi
BioMedical Engineering OnLine 16 (26), 2017
42017
Detection of inrush current using S-transform and probabilistic neural network
G Mokryani, MR Haghifam, H Latafat, P Aliparast, A Abdollahy
IEEE PES T&D 2010, 1-6, 2010
42010
Feature ranking and rank aggregation for automatic sleep stage classifcation: a comparative study
AAGJMF Shirin Najdi1,2*†
4*
Automatic eog and emg artifact removal method for sleep stage classification
AA Gharbali, JM Fonseca, S Najdi, TY Rezaii
Doctoral Conference on Computing, Electrical and Industrial Systems, 142-150, 2016
22016
Transfer Learning of Spectrogram Image for Automatic Sleep Stage Classification
AA Gharbali, S Najdi, JM Fonseca
International Conference Image Analysis and Recognition, 522-528, 2018
12018
Sleep Stage Classification: A Deep Learning Approach
AA Gharbali
12018
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Articles 1–12