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Pegah Tabarisaadi
Pegah Tabarisaadi
在 deakin.edu.au 的电子邮件经过验证 - 首页
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引用次数
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A sum-of-squares approach to consensus of nonlinear leader-follower multi-agent systems based on novel polynomial and fuzzy polynomial models
P Tabarisaadi, MM Mardani, M Shasadeghi, B Safarinejadian
Journal of the franklin institute 354 (18), 8398-8420, 2017
172017
Uncertainty-aware skin cancer detection: The element of doubt
P Tabarisaadi, A Khosravi, S Nahavandi
Computers in Biology and Medicine 144, 105357, 2022
102022
A deep bayesian ensembling framework for COVID-19 detection using chest CT images
P Tabarisaadi, A Khosravi, S Nahavandi
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
82020
An optimized uncertainty-aware training framework for neural networks
P Tabarisaadi, A Khosravi, S Nahavandi, M Shafie-Khah, JPS Catalão
IEEE transactions on neural networks and learning systems, 2022
42022
Leader-Following Consensus of Nonlinear Multi-Agent Systems Based on Parameterized Lyapunov Function
SP TABARI, MM Mardani, M Shasadeghi, B Safarinejadian
MODARES JOURNAL OF ELECTRICAL ENGINEERING 15 (2), 30-35, 2015
22015
A fuzzy approach on consensus of nonlinear leader-follower multi-agent systems
BS P. T. Saadi, M. M. Mardani, M. Shasadeghi
4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), 1-5, 2015
12015
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours
AA Munia, I Hossain, SM Jalali, P Tabarisaadi, A Rahman, S Nahavandi
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
2023
Bayesian randomly wired neural network with variational inference for image recognition
P Tabarisaadi, A Khosravi, S Nahavandi
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
2020
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems
P Tabarisaadi, A Khosravi, S Nahavandi
2019 IEEE International Conference on Cloud Computing Technology and Science …, 2019
2019
Designing an H∞ fuzzy LMI-based consensus protocol for nonlinear multi-agent systems
P Tabarisaadi, A Khosravi, S Nahavandi
Deakin University, 2019
2019
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