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ORCIDSeyyed Ali Seyyedsalehi
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2020 – today
- 2024
[i3]Somayeh Pakdelmoez, Saba Omidikia, Seyyed Ali Seyyedsalehi, Seyyede Zohreh Seyyedsalehi:
Controllable retinal image synthesis using conditional StyleGAN and latent space manipulation for improved diagnosis and grading of diabetic retinopathy. CoRR abs/2409.07422 (2024)- 2023
- [j26]Hossein Banki-Koshki, Seyyed Ali Seyyedsalehi:
Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural network. Commun. Nonlinear Sci. Numer. Simul. 118: 107044 (2023) - [j25]Maryam Dinpajhouh
, Seyyed Ali Seyyedsalehi:
Automated detecting and severity grading of diabetic retinopathy using transfer learning and attention mechanism. Neural Comput. Appl. 35(33): 23959-23971 (2023) - [j24]Ali Nouri, Seyyed Ali Seyyedsalehi:
Eigen value based loss function for training attractors in iterated autoencoders. Neural Networks 161: 575-588 (2023) - [j23]Arash Dehghani, Seyyed Ali Seyyedsalehi:
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition. Neural Process. Lett. 55(3): 3205-3224 (2023) - 2022
- [j22]Atefeh Ziaei, Hamed Azarnoush, Seyyed Ali Seyyedsalehi, Mohammad Havaei:
Stain transfer using Generative Adversarial Networks and disentangled features. Comput. Biol. Medicine 142: 105219 (2022) - [j21]Shaghayegh Reza, Seyyed Ali Seyyedsalehi, Seyyede Zohreh Seyyedsalehi:
Modified deep attractor neural networks for variability compensation in recognition tasks. Comput. Electr. Eng. 99: 107776 (2022) - 2021
- [i2]Arash Dehghani, Seyyed Ali Seyyedsalehi:
Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition. CoRR abs/2105.01399 (2021) - [i1]Arash Dehghani, Seyyed Ali Seyyedsalehi:
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition. CoRR abs/2108.03818 (2021)
2010 – 2019
- 2019
- [p1]Seyyede Zohreh Seyyedsalehi, Seyyed Ali Seyyedsalehi:
Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning? Handbook of Deep Learning Applications 2019: 293-318 - 2018
- [j20]Mohammad Hasan Rahmani, Farshad Almasganj, Seyyed Ali Seyyedsalehi:
Audio-visual feature fusion via deep neural networks for automatic speech recognition. Digit. Signal Process. 82: 54-63 (2018) - [j19]Saeed Montazeri Moghadam, Seyyed Ali Seyyedsalehi:
Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition. Neural Networks 105: 304-315 (2018) - 2017
- [j18]Zohreh Ansari, Seyyed Ali Seyyedsalehi:
Toward growing modular deep neural networks for continuous speech recognition. Neural Comput. Appl. 28(S-1): 1177-1196 (2017) - [j17]Isar Nejadgholi, Seyyed Ali Seyyedsalehi, Sylvain Chartier:
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory. Neural Process. Lett. 46(3): 943-960 (2017) - 2016
- [j16]Kian Hamedani, Seyyed Ali Seyyedsalehi, Reza Ahamdi:
Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks. Neural Comput. Appl. 27(6): 1761-1769 (2016) - 2015
- [j15]Seyyede Zohreh Seyyedsalehi, Seyyed Ali Seyyedsalehi:
A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networks. Neurocomputing 168: 669-680 (2015) - 2014
- [j14]Seyyede Zohreh Seyyedsalehi, Seyyed Ali Seyyedsalehi:
Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network. Neural Process. Lett. 40(2): 191-209 (2014) - 2013
- [j13]Isar Nejadgholi, Sylvain Chartier, Seyyed Ali Seyyedsalehi:
Controlling deterministic output variability in a feature extracting chaotic BAM. Neurocomputing 120: 298-309 (2013) - 2012
- [j12]Sepideh Babaei, Amir Geranmayeh, Seyyed Ali Seyyedsalehi:
Towards designing modular recurrent neural networks in learning protein secondary structures. Expert Syst. Appl. 39(6): 6263-6274 (2012) - [j11]Hossein Behbood, Seyyed Ali Seyyedsalehi, Hamid Reza Tohidypour, Mojtaba Najafi, Shahriar Gharibzadeh:
A novel neural-based model for acoustic-articulatory inversion mapping. Neural Comput. Appl. 21(5): 935-943 (2012) - [j10]Isar Nejadgholi, Seyyed Ali Seyyedsalehi, Sylvain Chartier:
A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search. Neural Process. Lett. 36(1): 69-99 (2012) - [j9]Hamid Reza Tohidypour, Seyyed Ali Seyyedsalehi, Hossein Behbood, Hossein Roshandel:
A new representation for speech frame recognition based on redundant wavelet filter banks. Speech Commun. 54(2): 256-271 (2012) - 2011
- [j8]Louiza Dehyadegary, Seyyed Ali Seyyedsalehi, Isar Nejadgholi:
Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks. Neurocomputing 74(17): 2716-2724 (2011) - [j7]Aboozar Taherkhani, Seyyed Ali Seyyedsalehi, Amir Homayoun Jafari:
Design of a chaotic neural network for training and retrieval of grayscale and binary patterns. Neurocomputing 74(17): 2824-2833 (2011) - 2010
- [j6]Sepideh Babaei, Amir Geranmayeh, Seyyed Ali Seyyedsalehi:
Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks. Comput. Methods Programs Biomed. 100(3): 237-247 (2010) - [j5]Behrooz Makki, Mona Noori Hosseini, Seyyed Ali Seyyedsalehi, Nasser Sadati:
Unaligned training for voice conversion based on a local nonlinear principal component analysis approach. Neural Comput. Appl. 19(3): 437-444 (2010) - [j4]Behrooz Makki, Mona Noori Hosseini, Seyyed Ali Seyyedsalehi:
An evolving neural network to perform dynamic principal component analysis. Neural Comput. Appl. 19(3): 459-463 (2010) - [c6]Masoumeh Azarpour, Seyyed Ali Seyyedsalehi, Aboozar Taherkhani:
Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network. IJCNN 2010: 1-6 - [c5]Isar Nejadgholi, Seyyed Ali Seyyedsalehi:
Chaotic control of deterministic variability in a BAM-inspired model of memory. ISDA 2010: 203-208
2000 – 2009
- 2009
- [j3]Isar Nejadgholi, Seyyed Ali Seyyedsalehi:
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks. Neural Comput. Appl. 18(1): 45-55 (2009) - [j2]Nader Fallah, Hong Gu, Kazem Mohammad, Seyyed Ali Seyyedsalehi, Keramat Nourijelyani, Mohammad Reza Eshraghian:
Nonlinear Poisson regression using neural networks: a simulation study. Neural Comput. Appl. 18(8): 939-943 (2009) - 2008
- [j1]Mahmood Amiri, Sohrab Saeb, Mohammad Javad Yazdanpanah, Seyyed Ali Seyyedsalehi:
Analysis of the dynamical behavior of a feedback auto-associative memory. Neurocomputing 71(4-6): 486-494 (2008) - [c4]Sepideh Babaei, Seyyed Ali Seyyedsalehi, Amir Geranmayeh:
Pruning neural networks for protein secondary structure prediction. BIBE 2008: 1-6 - [c3]Behrooz Makki, Mona Noori Hosseini, Seyyed Ali Seyyedsalehi:
Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion. IJCNN 2008: 1370-1373 - [c2]Aboozar Taherkhani, Arash Mohammadi, Seyyed Ali Seyyedsalehi, Hamed Davande:
Design of a chaotic neural network by using chaotic nodes and NDRAM network. IJCNN 2008: 3500-3504 - 2007
- [c1]Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Seyyed Ali Seyyedsalehi:
Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN. IJCNN 2007: 2664-2670
Coauthor Index
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last updated on 2024-10-22 21:19 CEST by the dblp team
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