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Shahin Nazarian

Showing results (1-10 of 11) with videos related to

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Frontiers in Artificial Intelligence|March 18, 2021
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural NetworksMingxi Cheng, Shahin Nazarian, Paul Bogdan
Scientific Reports|February 6, 2021
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case studyZikun Yang, Paul Bogdan, Shahin Nazarian
Scientific Reports|June 24, 2021
A stochastic quantum program synthesis framework based on Bayesian optimizationYao Xiao, Shahin Nazarian, Paul Bogdan
Scientific Reports|December 19, 2023
GAHLS: an optimized graph analytics based high level synthesis frameworkYao Xiao, Shahin Nazarian, Paul Bogdan
Scientific Reports|March 13, 2021
From rumor to genetic mutation detection with explanations: a GAN approachMingxi Cheng, Yizhi Li, Shahin Nazarian, et al.
Scientific Reports|May 18, 2021
Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomenaMingxi Cheng, Chenzhong Yin, Shahin Nazarian, et al.
Journal of Imaging|June 25, 2025
A Study on Energy Consumption in AI-Driven Medical Image SegmentationR Prajwal, S J Pawan, Shahin Nazarian, et al.
Frontiers in Psychology|June 17, 2021
A COVID-19 Rumor DatasetMingxi Cheng, Songli Wang, Xiaofeng Yan, et al.
Plos One|October 23, 2025
Rational design of multi-epitope vaccine for Chandipura virus using an immunoinformatics approachRamtin Naderian, Sajjad Ahmad, Mojgan Rahmanian, et al.
Plos One|May 23, 2023
In silico design and immunoinformatics analysis of a universal multi-epitope vaccine against monkeypox virusSamira Sanami, Shahin Nazarian, Sajjad Ahmad, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Artificial Intelligence|March 18, 2021
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural NetworksMingxi Cheng, Shahin Nazarian, Paul Bogdan
Scientific Reports|February 6, 2021
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case studyZikun Yang, Paul Bogdan, Shahin Nazarian
Scientific Reports|June 24, 2021
A stochastic quantum program synthesis framework based on Bayesian optimizationYao Xiao, Shahin Nazarian, Paul Bogdan
Scientific Reports|December 19, 2023
GAHLS: an optimized graph analytics based high level synthesis frameworkYao Xiao, Shahin Nazarian, Paul Bogdan
Scientific Reports|March 13, 2021
From rumor to genetic mutation detection with explanations: a GAN approachMingxi Cheng, Yizhi Li, Shahin Nazarian, et al.
Scientific Reports|May 18, 2021
Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomenaMingxi Cheng, Chenzhong Yin, Shahin Nazarian, et al.
Journal of Imaging|June 25, 2025
A Study on Energy Consumption in AI-Driven Medical Image SegmentationR Prajwal, S J Pawan, Shahin Nazarian, et al.
Frontiers in Psychology|June 17, 2021
A COVID-19 Rumor DatasetMingxi Cheng, Songli Wang, Xiaofeng Yan, et al.
Plos One|October 23, 2025
Rational design of multi-epitope vaccine for Chandipura virus using an immunoinformatics approachRamtin Naderian, Sajjad Ahmad, Mojgan Rahmanian, et al.
Plos One|May 23, 2023
In silico design and immunoinformatics analysis of a universal multi-epitope vaccine against monkeypox virusSamira Sanami, Shahin Nazarian, Sajjad Ahmad, et al.
Pageof 2