| A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networks SZ Seyyedsalehi, SA Seyyedsalehi Neurocomputing 168, 669-680, 2015 | 38 | 2015 |
| Simultaneous learning of nonlinear manifolds based on the bottleneck neural network SZ Seyyedsalehi, SA Seyyedsalehi Neural processing letters 40, 191-209, 2014 | 26 | 2014 |
| A new algorithm for training sparse autoencoders AS Shamsabadi, M Babaie-Zadeh, SZ Seyyedsalehi, HR Rabiee, ... 2017 25th European Signal Processing Conference (EUSIPCO), 2141-2145, 2017 | 14 | 2017 |
| Committee machines and quadratic B-spline wavelet for the P300 speller paradigm Z Seyyedsalehi, AM Nasrabadi, V Abootalebi 2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008 | 10 | 2008 |
| Subject adaptation using selective style transfer mapping for detection of facial action units A Mohammadian, H Aghaeinia, F Towhidkhah Expert Systems With Applications 56, 282-290, 2016 | 9 | 2016 |
| A new fast pre training method for training of deep neural network SA Seyyedsalehi, SZ Seyyedsalehi Biannual J Signal Data Process 19 (1), 2013 | 6 | 2013 |
| New fast pre training method for deep neural network learning SZ SEYYEDSALEHI, SSALI SEYYED | 6 | 2012 |
| Attractor analysis in associative neural networks and its application to facial image analysis SZ Seyyedsalehi, SA Seyyedsalehi Computational Intelligence in Electrical Engineering 9 (1), 79-96, 2018 | 5 | 2018 |
| Improving the nonlinear manifold separator model to the face recognition by a single image of per person SZ Seyyedsalehi, SSALI SEYYED Signal and Data Processing, 2015 | 5 | 2015 |
| Bidirectional Layer-by-layer Pre-training Method SZ Seyyedsalehi, SA Seyyedsalehi Computational Intelligence in Electrical Engineering 6 (2), 1-10, 2015 | 3 | 2015 |
| Modified deep attractor neural networks for variability compensation in recognition tasks S Reza, SA Seyyedsalehi, SZ Seyyedsalehi Computers and Electrical Engineering 99, 107776, 2022 | 2 | 2022 |
| Attractor manipulation in denoising autoencoders for robust phone recognition S Reza, SA Seyyedsalehi, SZ Seyyedsalehi 2021 29th Iranian Conference on Electrical Engineering (ICEE), 454-459, 2021 | 2 | 2021 |
| Persian Language Phone Recognition Based on Robust Extraction of Acoustic Landmarks S Reza, SA Seyyedsalehi, SZ Seyyedsalehi 2020 27th National and 5th International Iranian Conference on Biomedical …, 2020 | 2 | 2020 |
| Quadratic B-Spline Wavelet and Committee Machine for the P300 Detection in Brain Computer Interface Z Seyyedsalehi, NA MOTI, V Abootalebi SIGNAL AND DATA PROCESSING, 2009 | 1 | 2009 |
| Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning? SZ Seyyedsalehi, SA Seyyedsalehi Handbook of Deep Learning Applications, 293-318, 2019 | | 2019 |
| Improving Face Recognition with Single Sample per Person by Supervised Layer by Layer Pre-training Method 25th Iranian conference on Electrical Engineering (ICEE 2017), 2017 | | 2017 |
| AUTOMATIC CREDIBILITY ASSESSMENT SCREENING USING DISCRIMINATE ANALYSIS OF SKIN CONDUCTANCE RESPONSE AND PHOTOPLETHYSMOGRAPH SIGNALS SIGNAL AND DATA PROCESSING 13 (3), 2016 | | 2016 |
| Improvement of Association Neural Network by Attractor Dynamic SZ Seyyedsalehi, SSALI SEYYED | | 2012 |
| Modular learning method for detection of P300 component of the brain to communicate with the computer 15th Iranian Conference on Biomedical Engineering, 2008 | | 2008 |
| feature extraction from event-related potential using continuous wavelet transform and test t 15th Iranian conference on Biomedical Engineering, 2008 | | 2008 |
Seyyed Ali SeyyedsalehiAssociate Prof., Biomedical Eng. Faculty, Amirkabir University of TechnologyAdresse e-mail validée de aut.ac.ir
