Ghazal Bargshady

According to our database, Ghazal Bargshady authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Empirical comparison of deep learning models for fNIRS pain decoding.

Raul Fernandez Rojas, Calvin Joseph, Ghazal Bargshady, Keng-Liang Ou

Frontiers Neuroinformatics, 2024

2023

An Investigation of Video Vision Transformers for Depression Severity Estimation from Facial Video Data.

Ghazal Bargshady, Roland Goecke

Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023

Estimating Depression Severity from Long-Sequence Face Videos via an Ensemble Global Diverse Convolutional Model.

Ghazal Bargshady, Roland Goecke

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images.

Ghazal Bargshady, Xujuan Zhou, Prabal Datta Barua, Raj Gururajan, Yuefeng Li, U. Rajendra Acharya

Pattern Recognit. Lett., 2022

2020

A survey on text classification and its applications.

Xujuan Zhou, Raj Gururajan, Yuefeng Li, Revathi Venkataraman, Xiaohui Tao, Ghazal Bargshady, Prabal Datta Barua, Srinivas Kondalsamy-Chennakesavan

Web Intell., 2020

Enhanced deep learning algorithm development to detect pain intensity from facial expression images.

Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang

Expert Syst. Appl., 2020

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space.

Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang

Appl. Soft Comput., 2020

Ensemble neural network approach detecting pain intensity from facial expressions.

Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang

Artif. Intell. Medicine, 2020

A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection.

Xujuan Zhou, Yuefeng Li, Raj Gururajan, Ghazal Bargshady, Xiaohui Tao, Revathi Venkataraman, Prabal Datta Barua, Srinivas Kondalsamy-Chennakesavan

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019

A Joint Deep Neural Network Model for Pain Recognition from Face.

Ghazal Bargshady, Jeffrey Soar, Xujuan Zhou, Ravinesh C. Deo, Frank Whittaker, Hua Wang

Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019

Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach.

Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain

Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019

A Case Study of Predicting Banking Customers Behaviour by Using Data Mining.

Xujuan Zhou, Ghazal Bargshady, Moloud Abdar, Xiaohui Tao, Raj Gururajan, Ka Ching Chan

Proceedings of the 6th International Conference on Behavioral, 2019

2018

Deep Learning Model for Detection of Pain Intensity from Facial Expression.

Jeffrey Soar, Ghazal Bargshady, Xujuan Zhou, Frank Whittaker

Proceedings of the Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living, 2018