Optimal Evolutionary-Based Deployment of Mobile Sensor Networks. - Niusha Shafiabady; Mohammad Ali Nekoui (AICI, 2009)

Using Neural Networks as Pipeline Defect Classifiers. - Nik Ahmad Akram; Niusha Shafiabady; Dino Isa (ICITCS, 2013)

Using unsupervised clustering approach to train the Support Vector Machine for text classification. - Niusha Shafiabady; Lam Hong Lee; Rajprasad Rajkumar; V. P. Kallimani; Nik Ahmad Akram; Dino Isa (Neurocomputing, 2016)

The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set. - R. C. Ambagtsheer; Niusha Shafiabady; E. Dent; C. Seiboth; Justin Beilby (Int. J. Medical Informatics, 2020)

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. - Yiqiao Li 001; Jianlong Zhou; Yifei Dong; Niusha Shafiabady; Fang Chen 001 (CIKM, 2023)

Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals. - Binayak Bhandari; Gijun Park; Niusha Shafiabady (Neural Comput. Appl., 2023)

Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms. - Syed Fawad Mustafa Zaidi; Niusha Shafiabady; Justin Beilby (Virtual Real., 2023)

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach. - Arefin Ittesafun Abian; Mohaimenul Azam Khan Raiaan; Asif Karim; Sami Azam; Nur Mohammad Fahad; Niusha Shafiabady; Kheng Cher Yeo; Friso De Boer (Frontiers Comput. Sci., 2024)

Reliable and Faithful Generative Explainers for Graph Neural Networks. - Yiqiao Li 001; Jianlong Zhou; Boyuan Zheng; Niusha Shafiabady; Fang Chen 001 (Mach. Learn. Knowl. Extr., 2024)

Resource constraint crop damage classification using depth channel shuffling. - Md Tanvir Islam; Safkat Shahrier Swapnil; Md. Masum Billal; Asif Karim; Niusha Shafiabady; Md. Mehedi Hassan (Eng. Appl. Artif. Intell., 2025)