Niusha Shafiabady

16 papers A 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Systematic Review on Quantum Machine Learning Applications in Classification.
IEEE Trans. Artif. Intell.
Ehsan Mohammadisavadkoohi, Niusha Shafiabady, James Vakilian
2026 J jnl
A fuzzy multi-objective neuro-evolutionary framework with bargaining-based selection for interpretable body fat prediction.
Neurocomputing
Farshid Keivanian, Niusha Shafiabady, Nasimul Noman, Zongwen Fan, Seyedali Mirjalili
2026 J jnl
Proposed dynamic fish counting method in a multivariate environment based on YOLO model and ONNX format.
Appl. Intell.
Nguyen Minh Son, Huynh Cao Tuan, Phan Thi Huong, Nguyen Khac Hoang, Niusha Shafiabady, Thanh Q. Nguyen
2025 J jnl
Editorial: Computer technology and sustainable futures.
Frontiers Comput. Sci.
Niusha Shafiabady
2025 J jnl
Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI).
IEEE Trans. Artif. Intell.
Niusha Shafiabady, Tebbin Koo, Fareed Ud Din, Kabir Sattarshetty, Margaret Yen, Mamoun Alazab, Ethar Alsharaydeh
2025 J jnl
Resource constraint crop damage classification using depth channel shuffling.
Eng. Appl. Artif. Intell.
Md Tanvir Islam, Safkat Shahrier Swapnil, Md. Masum Billal, Asif Karim, Niusha Shafiabady, Md. Mehedi Hassan
2024 J jnl
Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach.
Frontiers Comput. Sci.
Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer
2024 J jnl
Reliable and Faithful Generative Explainers for Graph Neural Networks.
Mach. Learn. Knowl. Extr.
Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen
2023 A conf
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
CIKM
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2023 J jnl
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
CoRR
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2023 J jnl
Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms.
Virtual Real.
Syed Fawad Mustafa Zaidi, Niusha Shafiabady, Justin Beilby
2023 J jnl
Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals.
Neural Comput. Appl.
Binayak Bhandari, Gijun Park, Niusha Shafiabady
2020 J jnl
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.
Int. J. Medical Informatics
R. C. Ambagtsheer, Niusha Shafiabady, Elsa Dent, C. Seiboth, Justin Beilby
2016 J jnl
Using unsupervised clustering approach to train the Support Vector Machine for text classification.
Neurocomputing
Niusha Shafiabady, Lam Hong Lee, Rajprasad Rajkumar, V. P. Kallimani, Nik Ahmad Akram, Dino Isa
2013 — conf
Using Neural Networks as Pipeline Defect Classifiers.
ICITCS
Nik Ahmad Akram, Niusha Shafiabady, Dino Isa
2009 — conf
Optimal Evolutionary-Based Deployment of Mobile Sensor Networks.
AICI
Niusha Shafiabady, Mohammad Ali Nekoui