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Sajedeh Morabbi
Sajedeh Morabbi
PhD of Artificial Intelligence at Semnan University
Verified email at semnan.ac.ir
Title
Cited by
Cited by
Year
A new method for detecting p300 signals by using deep learning: hyperparameter tuning in high-dimensional space by minimizing nonconvex error function
SV Shojaedini, S Morabbi, MR Keyvanpour
Journal of Medical Signals & Sensors 8 (4), 205-214, 2018
102018
A new method to improve the performance of deep neural networks in detecting P300 signals: optimizing curvature of error surface using genetic algorithm
SV Shojaedini, S Morabbi, MR Keyvanpour
Journal of Biomedical Physics & Engineering 11 (3), 357, 2021
72021
A new method for P300 detection in deep belief networks: Nesterov momentum and drop based learning rate
S Morabbi, M Keyvanpour, SV Shojaedini
Health and Technology 9 (4), 615-630, 2019
72019
Improving generalization in deep neural network using knowledge transformation based on fisher criterion: S. Morabbi et al.
S Morabbi, H Soltanizadeh, S Mozaffari, MJ Fadaeieslam
The Journal of Supercomputing 79 (18), 20899-20922, 2023
52023
Knowledge in attention assistant for improving generalization in deep teacher–student models
S Morabbi, H Soltanizadeh, S Mozaffari, MJ Fadaeieslam, SS Sana
International Journal of Modelling and Simulation, 1-17, 2024
42024
Sparse Representation-Based Classification (SRC): A Novel Method to Improve the Performance of Convolutional Neural Networks in Detecting P300 Signals
SV Shojaedini, S Morabbi
Health Management & Information Science 6 (2), 37-46, 2019
22019
A new method to improve automated classification of heart sound signals: filter bank learning in convolutional neural networks
SV Shojaedini, S Morabbi
Iranian J. Med. Phys 17, 331-339, 2020
12020
Partial derivative regularized knowledge transformation for deep neural networks generalization
S Morabbi, H Soltanizadeh, S Mozaffari, MJ Fadaeieslam
Pattern Analysis and Applications 29 (1), 12, 2026
2026
A new deep structure to improve detection of P300 signals: using supervised learning as kernel of convolutional neural networks
SV Shojaedini, S Morabbi, MR Keyvanpour
International Journal of Healthcare Technology and Management 18 (3-4), 199-215, 2021
2021
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Articles 1–9