Seyyed Ali Seyyedsalehi

Orcid: 0000-0002-0902-4696

According to our database1, Seyyed Ali Seyyedsalehi authored at least 34 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Automated detecting and severity grading of diabetic retinopathy using transfer learning and attention mechanism.
Neural Comput. Appl., November, 2023

Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition.
Neural Process. Lett., June, 2023

Eigen value based loss function for training attractors in iterated autoencoders.
Neural Networks, April, 2023

Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural network.
Commun. Nonlinear Sci. Numer. Simul., April, 2023

2022
Modified deep attractor neural networks for variability compensation in recognition tasks.
Comput. Electr. Eng., 2022

Stain transfer using Generative Adversarial Networks and disentangled features.
Comput. Biol. Medicine, 2022

2021
Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition.
CoRR, 2021

2019
Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning?
Proceedings of the Handbook of Deep Learning Applications., 2019

2018
Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition.
Neural Networks, 2018

Audio-visual feature fusion via deep neural networks for automatic speech recognition.
Digit. Signal Process., 2018

2017
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory.
Neural Process. Lett., 2017

Toward growing modular deep neural networks for continuous speech recognition.
Neural Comput. Appl., 2017

2016
Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks.
Neural Comput. Appl., 2016

2015
A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networks.
Neurocomputing, 2015

2014
Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network.
Neural Process. Lett., 2014

2013
Controlling deterministic output variability in a feature extracting chaotic BAM.
Neurocomputing, 2013

2012
A new representation for speech frame recognition based on redundant wavelet filter banks.
Speech Commun., 2012

A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search.
Neural Process. Lett., 2012

A novel neural-based model for acoustic-articulatory inversion mapping.
Neural Comput. Appl., 2012

Towards designing modular recurrent neural networks in learning protein secondary structures.
Expert Syst. Appl., 2012

2011
Design of a chaotic neural network for training and retrieval of grayscale and binary patterns.
Neurocomputing, 2011

Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks.
Neurocomputing, 2011

2010
Unaligned training for voice conversion based on a local nonlinear principal component analysis approach.
Neural Comput. Appl., 2010

An evolving neural network to perform dynamic principal component analysis.
Neural Comput. Appl., 2010

Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks.
Comput. Methods Programs Biomed., 2010

Chaotic control of deterministic variability in a BAM-inspired model of memory.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks.
Neural Comput. Appl., 2009

Nonlinear Poisson regression using neural networks: a simulation study.
Neural Comput. Appl., 2009

2008
Analysis of the dynamical behavior of a feedback auto-associative memory.
Neurocomputing, 2008

Design of a chaotic neural network by using chaotic nodes and NDRAM network.
Proceedings of the International Joint Conference on Neural Networks, 2008

Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion.
Proceedings of the International Joint Conference on Neural Networks, 2008

Pruning neural networks for protein secondary structure prediction.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN.
Proceedings of the International Joint Conference on Neural Networks, 2007


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