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Ali Abdollahi Gharbali
Ali Abdollahi Gharbali
Adresse e-mail validée de campus.fct.unl.pt
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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
352018
Feature transformation based on stacked sparse autoencoders for sleep stage classification
S Najdi, AA Gharbali, JM Fonseca
Technological Innovation for Smart Systems: 8th IFIP WG 5.5/SOCOLNET …, 2017
322017
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
182009
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
122010
Feature ranking and rank aggregation for automatic sleep stage classifcation: a comparative study
AAGJMF Shirin Najdi
BioMedical Engineering OnLine 16 (26), 2017
112017
Feature ranking and rank aggregation for automatic sleep stage classifcation: a comparative study
AAGJMF Shirin Najdi1,2*†
11*
A comparison of feature ranking and rank aggregation techniques in automatic sleep stage classification based on polysomnographic signals
S Najdi, AA Gharbali, JM Fonseca
Bioinformatics and Biomedical Engineering: 4th International Conference …, 2016
102016
Transfer learning of spectrogram image for automatic sleep stage classification
AA Gharbali, S Najdi, JM Fonseca
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
62018
Speech enhancement using combinational adaptive filtering
A Abdollahy, M Geravanchizadeh
2008 International Symposium on Telecommunications, 774-777, 2008
62008
Automatic eog and emg artifact removal method for sleep stage classification
AA Gharbali, JM Fonseca, S Najdi, TY Rezaii
Technological Innovation for Cyber-Physical Systems: 7th IFIP WG 5.5 …, 2016
52016
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
52010
Sleep Stage Classification: A Deep Learning Approach
AA Gharbali
PQDT-Global, 2018
32018
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