A sum-of-squares approach to consensus of nonlinear leader-follower multi-agent systems based on novel polynomial and fuzzy polynomial models. - Pegah Tabarisaadi; Mohammad Mehdi Mardani; Mokhtar Shasadeghi; Behrouz Safarinejadian (J. Frankl. Inst., 2017)

Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. - Pegah Tabarisaadi; Abbas Khosravi; Saeid Nahavandi (CloudCom, 2019)

Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. - Pegah Tabarisaadi; Abbas Khosravi; Saeid Nahavandi (ICONIP (3), 2020)

A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. - Pegah Tabarisaadi; Abbas Khosravi; Saeid Nahavandi (SMC, 2020)

Uncertainty-aware skin cancer detection: The element of doubt. - Pegah Tabarisaadi; Abbas Khosravi; Saeid Nahavandi (Comput. Biol. Medicine, 2022)

Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. - Afsana Ahmed Munia; Ibrahim Hossain; Seyed Mohammad Jafar Jalali; Pegah Tabarisaadi; Ashikur Rahman; Saeid Nahavandi (SMC, 2023)

An Optimized Uncertainty-Aware Training Framework for Neural Networks. - Pegah Tabarisaadi; Abbas Khosravi; Saeid Nahavandi; Miadreza Shafie-Khah; João P. S. Catalão (IEEE Trans. Neural Networks Learn. Syst., 2024)

Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation. - Hamzeh Asgharnezhad; Pegah Tabarisaadi; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (CoRR, 2025)