CV


FA
Farideh Ebrahimi Khalesari

Farideh Ebrahimi Khalesari

Assistant Professor

CV
FA
Farideh Ebrahimi Khalesari

Assistant Professor Farideh Ebrahimi Khalesari

Papers in Journals

#Paper TitleAuthorsJournalPublished At
 
21Automatic sleep staging by cardiorespiratory signals: a systematic reviewFarideh Ebrahimi Khalesari, Iman AlizadehSleep and Breathing2022
22Automatic sleep staging by cardiorespiratory signals: a systematic reviewFarideh Ebrahimi Khalesari, Iman AlizadehSleep and Breathing2022
23A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signalsZahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery KordyCOMPUTERS IN BIOLOGY AND MEDICINE2022
24A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signalsZahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery KordyCOMPUTERS IN BIOLOGY AND MEDICINE2022
25A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
26A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
27A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
28A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
29A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
30A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020
31Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
32Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
33Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
34Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
35Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
36Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programsIman Alizadeh, Farideh Ebrahimi KhalesariEducation and Information Technologies2019
37Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep StagingFarideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer NazeranAdvances in Electrical and Electronic Engineering2017
38Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep StagingFarideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer NazeranAdvances in Electrical and Electronic Engineering2017
39Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep StagingFarideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer NazeranAdvances in Electrical and Electronic Engineering2017
40Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep StagingFarideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer NazeranAdvances in Electrical and Electronic Engineering2017
Showing 21-40 of 54 items.