Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network. - Seyyede Zohreh Seyyedsalehi; Seyyed Ali Seyyedsalehi (Neural Process. Lett., 2014)

A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networks. - Seyyede Zohreh Seyyedsalehi; Seyyed Ali Seyyedsalehi (Neurocomputing, 2015)

Subject adaptation using selective style transfer mapping for detection of facial action units. - Amin Mohammadian; Hassan Aghaeinia; Farzad Towhidkhah; Seyyede Zohreh Seyyedsalehi (Expert Syst. Appl., 2016)

A new algorithm for training sparse autoencoders. - Ali Shahin Shamsabadi; Massoud Babaie-Zadeh; Seyyede Zohreh Seyyedsalehi; Hamid R. Rabiee; Christian Jutten (EUSIPCO, 2017)

Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning? - Seyyede Zohreh Seyyedsalehi; Seyyed Ali Seyyedsalehi (Handbook of Deep Learning Applications, 2019)

Modified deep attractor neural networks for variability compensation in recognition tasks. - Shaghayegh Reza; Seyyed Ali Seyyedsalehi; Seyyede Zohreh Seyyedsalehi (Comput. Electr. Eng., 2022)

Controllable retinal image synthesis using conditional StyleGAN and latent space manipulation for improved diagnosis and grading of diabetic retinopathy. - Somayeh Pakdelmoez; Saba Omidikia; Seyyed Ali Seyyedsalehi; Seyyede Zohreh Seyyedsalehi (CoRR, 2024)