Fares Al-Shargie

Orcid: 0000-0002-5792-8032

According to our database1, Fares Al-Shargie authored at least 24 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Assessment of Mental Stress During 240-Days Isolation and Confined Environment using EEG Signals.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos.
Proceedings of the International Conference on Multimodal Interaction, 2023

Mental Stress Detection and Mitigation using Machine Learning and Binaural Beat Stimulation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Detection of Astronaut's Stress Levels During 240-Day Confinement using EEG Signals and Machine Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis.
Sensors, 2022

Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks.
IEEE Access, 2022

Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion.
IEEE Access, 2022

Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques.
IEEE Access, 2022

Mental Stress Assessment Using fNIRS and LSTM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Sentiment-aware Classifier for Out-of-Context Caption Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
A Review on Mental Stress Assessment Methods Using EEG Signals.
Sensors, 2021

EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features.
Sensors, 2021

Enhancing EEG-Based Mental Stress State Recognition Using an Improved Hybrid Feature Selection Algorithm.
Sensors, 2021

Cognitive Vigilance Enhancement Using Audio Stimulation of Pure Tone at 250 Hz.
IEEE Access, 2021

Stress Assessment and Mitigation using fNIRS and Binaural Beat Stimulation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Discrimination of Genuine and Acted Emotional Expressions Using EEG Signal and Machine Learning.
IEEE Access, 2020

EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis.
IEEE Access, 2020

2019
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study.
IEEE Access, 2019

Discerning Genuine and Acted Smiles Using Neural Networks.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018
Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.
Medical Biol. Eng. Comput., 2018

2017
Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals.
IEEE Access, 2017

2016
Mental stress grading based on fNIRS signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015


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