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ORCIDNiusha Shafiabady
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2020 – today
- 2026
[j13]Nguyen Minh Son
, Huynh Cao Tuan, Phan Thi Huong, Nguyen Khac Hoang, Niusha Shafiabady, Thanh Q. Nguyen:
Proposed dynamic fish counting method in a multivariate environment based on YOLO model and ONNX format. Appl. Intell. 56(5): 138 (2026)- [j12]Farshid Keivanian, Niusha Shafiabady, Nasimul Noman, Zongwen Fan, Seyedali Mirjalili:
A fuzzy multi-objective neuro-evolutionary framework with bargaining-based selection for interpretable body fat prediction. Neurocomputing 675: 132974 (2026) - [j11]Luminous Ogochukwu Akazua, Jianlong Zhou, Fang Chen, Niusha Shafiabady, George Yijun Tian, Andreas Holzinger, Heimo Müller:
Explainable Conversational Agents for Mobile Health Coaching Systems: Trust Factors, Progress and Opportunities. Mach. Learn. Knowl. Extr. 8(6) (2026) - [j10]Ehsan Mohammadisavadkoohi, Niusha Shafiabady, James Vakilian:
A Systematic Review on Quantum Machine Learning Applications in Classification. IEEE Trans. Artif. Intell. 7(1): 4-21 (2026) - 2025
- [j9]Md Tanvir Islam, Safkat Shahrier Swapnil, Md. Masum Billal, Asif Karim, Niusha Shafiabady, Md. Mehedi Hassan:
Resource constraint crop damage classification using depth channel shuffling. Eng. Appl. Artif. Intell. 144: 110117 (2025) - [j8]Niusha Shafiabady:
Editorial: Computer technology and sustainable futures. Frontiers Comput. Sci. 7 (2025) - [j7]Niusha Shafiabady, Tebbin Koo, Fareed Ud Din, Kabir Sattarshetty, Margaret Yen, Mamoun Alazab, Ethar Alsharaydeh:
Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI). IEEE Trans. Artif. Intell. 6(9): 2464-2475 (2025) - 2024
- [j6]Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer:
Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach. Frontiers Comput. Sci. 6 (2024) - [j5]Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen:
Reliable and Faithful Generative Explainers for Graph Neural Networks. Mach. Learn. Knowl. Extr. 6(4): 2913-2929 (2024) - 2023
- [j4]Binayak Bhandari, Gijun Park, Niusha Shafiabady:
Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals. Neural Comput. Appl. 35(18): 13275-13292 (2023) - [j3]Syed Fawad Mustafa Zaidi, Niusha Shafiabady, Justin Beilby:
Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms. Virtual Real. 27(4): 3613-3620 (2023) - [c3]Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen:
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CIKM 2023: 1259-1267 - [i1]Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen:
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CoRR abs/2309.16918 (2023) - 2020
- [j2]R. C. Ambagtsheer, Niusha Shafiabady, Elsa Dent, C. Seiboth, Justin Beilby:
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set. Int. J. Medical Informatics 136: 104094 (2020)
2010 – 2019
- 2016
- [j1]Niusha Shafiabady, Lam Hong Lee, Rajprasad Rajkumar, V. P. Kallimani, Nik Ahmad Akram, Dino Isa:
Using unsupervised clustering approach to train the Support Vector Machine for text classification. Neurocomputing 211: 4-10 (2016) - 2013
- [c2]Nik Ahmad Akram, Niusha Shafiabady, Dino Isa:
Using Neural Networks as Pipeline Defect Classifiers. ICITCS 2013: 1-4
2000 – 2009
- 2009
- [c1]Niusha Shafiabady, Mohammad Ali Nekoui:
Optimal Evolutionary-Based Deployment of Mobile Sensor Networks. AICI 2009: 563-567
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