Niusha Shafiabady

According to our database, Niusha Shafiabady authored at least 15 papers between 2009 and 2026.

Collaborative distances:

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

2026

Proposed dynamic fish counting method in a multivariate environment based on YOLO model and ONNX format.

Nguyen Minh Son, Huynh Cao Tuan, Phan Thi Huong, Nguyen Khac Hoang, Niusha Shafiabady, Thanh Q. Nguyen

Appl. Intell., April, 2026

A Systematic Review on Quantum Machine Learning Applications in Classification.

Ehsan Mohammadisavadkoohi, Niusha Shafiabady, James Vakilian

IEEE Trans. Artif. Intell., January, 2026

A fuzzy multi-objective neuro-evolutionary framework with bargaining-based selection for interpretable body fat prediction.

Farshid Keivanian, Niusha Shafiabady, Nasimul Noman, Zongwen Fan, Seyedali Mirjalili

Neurocomputing, 2026

2025

Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI).

Niusha Shafiabady, Tebbin Koo, Fareed Ud Din, Kabir Sattarshetty, Margaret Yen, Mamoun Alazab, Ethar Alsharaydeh

IEEE Trans. Artif. Intell., September, 2025

Editorial: Computer technology and sustainable futures.

Niusha Shafiabady

Frontiers Comput. Sci., 2025

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

2024

Reliable and Faithful Generative Explainers for Graph Neural Networks.

Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen

Mach. Learn. Knowl. Extr., 2024

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

2023

Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms.

Syed Fawad Mustafa Zaidi, Niusha Shafiabady, Justin Beilby

Virtual Real., December, 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., June, 2023

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.

Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2020

The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.

R. C. Ambagtsheer, Niusha Shafiabady, Elsa Dent, C. Seiboth, Justin Beilby

Int. J. Medical Informatics, 2020

2016

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

2013

Using Neural Networks as Pipeline Defect Classifiers.

Nik Ahmad Akram, Niusha Shafiabady, Dino Isa

Proceedings of the 2013 International Conference on IT Convergence and Security, 2013

2009

Optimal Evolutionary-Based Deployment of Mobile Sensor Networks.

Niusha Shafiabady, Mohammad Ali Nekoui

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009