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Pegah Tabarisaadi
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2020 – today
- 2024
- [j3]Pegah Tabarisaadi
, Abbas Khosravi
An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6928-6935 (2024) - 2023
- [c4]Afsana Ahmed Munia, Ibrahim Hossain, Seyed Mohammad Jalali, Pegah Tabarisaadi, Ashikur Rahman, Saeid Nahavandi:
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. SMC 2023: 4228-4235 - 2022
- [j2]Pegah Tabarisaadi
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - 2020
- [c3]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. ICONIP (3) 2020: 197-207 - [c2]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. SMC 2020: 1584-1589
2010 – 2019
- 2019
- [c1]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. CloudCom 2019: 320-325 - 2017
- [j1]Pegah Tabarisaadi, Mohammad Mehdi Mardani
A sum-of-squares approach to consensus of nonlinear leader-follower multi-agent systems based on novel polynomial and fuzzy polynomial models. J. Frankl. Inst. 354(18): 8398-8420 (2017)
Coauthor Index
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last updated on 2024-06-03 00:16 CEST by the dblp team
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