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Saeid Rashidi
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2020 – today
- 2026
[j11]Sina Ketabi
, Ali Fallah, Saeid Rashidi, Mohammad Ali Nazari:
Learning disorder detection based on rest EEG signals using time-frequency features of the discrete orthonormal Stockwell transform. Comput. Biol. Medicine 209: 111693 (2026)- 2025
[j10]Melika Changizi, Saeid Rashidi, Zolfagharzadeh-Kermani Mahdi
:
Applying the parametric learning tactic along with the Welch signal processing technique in designing a depression recognition system using electroencephalogram. Biomed. Signal Process. Control. 108: 107921 (2025)
[j9]Bashir Najafabadian
, Ali Motie Nasrabadi, Saeid Rashidi
:
GSC-ABTA: A group-level brain sources connectivity framework based on adaptive block tensor analysis. Biomed. Signal Process. Control. 110: 108336 (2025)- 2024
[j8]Zolfagharzadeh-Kermani Mahdi
, Saeid Rashidi
, Asaseh Maryam:
Optimal segmentation of non-linear and non-stationary time series based on fractal dimension and Poincare section and its application in solving EEG-signal. Appl. Soft Comput. 166: 112178 (2024)- 2023
[j7]Sina Ketabi
, Saeid Rashidi
, Ali Fallah:
Text-dependent speaker verification using discrete wavelet transform based on linear prediction coding. Biomed. Signal Process. Control. 86(Part B): 105218 (2023)- 2021
[j6]Zahra Taghizadeh
, Saeid Rashidi
, Ahmad Shalbaf
:
Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals. Biomed. Signal Process. Control. 68: 102573 (2021)
[j5]Farnaz Panahi
, Saeid Rashidi, Ali Sheikhani:
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition. Biomed. Signal Process. Control. 69: 102863 (2021)- 2020
[j4]Ahmad Rujoie
, Ali Fallah
, Saeid Rashidi
, Elaheh Rafiei Khoshnood, Tirdad Seifi Ala:
Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram. Biomed. Signal Process. Control. 57 (2020)
[j3]Samaneh Siyar, Hamed Azarnoush
, Saeid Rashidi
, Alexander Winkler-Schwartz, Vincent Bissonnette, Nirros Ponnudurai, Rolando F. Del Maestro:
Machine learning distinguishes neurosurgical skill levels in a virtual reality tumor resection task. Medical Biol. Eng. Comput. 58(6): 1357-1367 (2020)
2010 – 2019
- 2018
[c1]Sarineh Keshishzadeh, Ali Fallah
, Saeid Rashidi
:
Electroencephalogram Based Biometrics: A Fractional Fourier Transform Approach. ICBEA 2018: 1-5
[i1]Samaneh Siyar, Hamed Azarnoush, Saeid Rashidi, Alexandre Winkler-Schwartz, Vincent Bissonnette, Nirros Ponnudurai, Rolando F. Del Maestro:
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task. CoRR abs/1811.08159 (2018)- 2013
[j2]Saeid Rashidi
, Ali Fallah
, Farzad Towhidkhah
:
Similarity Evaluation of Online Signatures Based on modified Dynamic Time Warping. Appl. Artif. Intell. 27(7): 599-617 (2013)- 2012
[j1]Saeid Rashidi
, Ali Fallah
, Farzad Towhidkhah
:
Feature extraction based DCT on dynamic signature verification. Sci. Iran. 19(6): 1810-1819 (2012)
Coauthor Index

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last updated on 2026-05-08 22:53 CEST by the dblp team
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