Sleep Stage Scoring of Single-Channel EEG Signal based on RUSBoost Classifier. - Sobhan Sheykhivand; Tohid Yousefi Rezaii; Ali Farzamnia; M. Vazifehkhahi (IICAIET, 2018)

Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals. - Sobhan Sheykhivand; Zohreh Mousavi; Tohid Yousefi Rezaii; Ali Farzamnia (IEEE Access, 2020)

Automatic Identification of Epileptic Seizures From EEG Signals Using Sparse Representation-Based Classification. - Sobhan Sheykhivand; Tohid Yousefi Rezaii; Zohreh Mousavi; Azra Delpak; Ali Farzamnia (IEEE Access, 2020)

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach. - Mohammad Peivandi; Sevda Zafarmandi Ardabili; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2023)

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network. - Nastaran Khaleghi; Shaghayegh Hashemi; Sevda Zafarmandi Ardabili; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2023)

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks. - Sevda Zafarmandi Ardabili; Soufia Bahmani; Lida Zare Lahijan; Nastaran Khaleghi; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2024)

An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks. - Mahsan Rahmani; Fatemeh Mohajelin; Nastaran Khaleghi; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2024)

Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks. - Fatemeh Mohajelin; Sobhan Sheykhivand; Abbas Shabani; Morad Danishvar; Sebelan Danishvar; Lida Zare Lahijan (Sensors, 2024)