Ghazal Bargshady
Ghazal Bargshady
Postdoctoral Research Fellow, University of Canberra, Faculty of Science and Technology
Verified email at canberra.edu.au
Title
Cited by
Cited by
Year
Enhanced deep learning algorithm development to detect pain intensity from facial expression images
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Expert Systems with Applications 149, 113305, 2020
322020
The effect of information technology on the agility of the supply chain in the Iranian power plant industry
G Bargshady, SM Zahraee, M Ahmadi, A Parto
Journal of Manufacturing Technology Management, 2016
212016
Business Inteligence Technology Implimentation Readiness Factors
G Bargshady, F Alipanah, AW Abdulrazzaq, F Chukwunonso
Jurnal Teknologi 68 (3), 2014
172014
A joint deep neural network model for pain recognition from face
G Bargshady, S Jeffrey, Z Xujuan, CD Ravinesh, W Frank, H Wang
IEEE 4th International Conference on Computer and Communication Systems, 2019
142019
The effective factors on user acceptance in mobile business intelligence
G Bargshady, K Pourmahdi, P Khodakarami, T Khodadadi, F Alipanah
Jurnal Teknologi 72 (4), 2015
132015
Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach
M Abdar, E Nasarian, X Zhou, G Bargshady, VN Wijayaningrum, ...
2019 IEEE 4th International Conference on Computer and Communication Systemsá…, 2019
92019
Deep learning model for detection of pain intensity from facial expression
J Soar, G Bargshady, X Zhou, F Whittaker
International Conference on Smart Homes and Health Telematics, 249-254, 2018
72018
Ensemble neural network approach detecting pain intensity from facial expressions
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Artificial Intelligence in Medicine 109, 101954, 2020
62020
A Relational Study of Supply Chain Agility and Firms' Performance in the Services Providers
G Bargshady, A Chegeni, S Kamranvand, SM Zahraee
International Review of Management and Marketing 6 (4S), 2016
42016
Evaluation of firm's potential in adoption of green IT
G Bargshady, M Ahmadi, AW Abdulrazzaq, SM Zahraee
American-Eurasian Journal of Sustainable Agriculture, 8-14, 2014
32014
A survey on text classification and its applications
X Zhou, R Gururajan, Y Li, R Venkataraman, X Tao, G Bargshady, ...
Web Intelligence, 1-12, 2020
12020
A case study of predicting banking customers behaviour by using data mining
X Zhou, G Bargshady, M Abdar, X Tao, R Gururajan, KC Chan
2019 6th International Conference on Behavioral, Economic and Socio-Culturalá…, 2019
12019
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker, H Wang
Applied Soft Computing 97, 106805, 2020
2020
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
X Zhou, Y Li, R Gururajan, G Bargshady, X Tao, R Venkataraman, ...
2020 7th International Conference on Behavioural and Social Computing (BESCá…, 2020
2020
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
G Bargshady
University of Southern Queensland, 2020
2020
Copyrightę 2014, American-Eurasian Network for Scientific Information publisher
G Bargshady, M Ahmadi, AW Abdulrazzaq, SM Zahraee
2014
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