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ORCIDHamid Asgari
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Journal Articles
- 2021
[j8]Darryl Hond, Hamid Asgari
, Daniel Jeffery, Mike Newman:
An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures. Int. J. Artif. Intell. Mach. Learn. 11(2): 1-21 (2021)- [j7]Hamid Asgari, Emmanuel Ory:
Machine learning approaches for modelling a single shaft gas turbine. Int. J. Model. Identif. Control. 37(3/4): 275-284 (2021) - 2019
- [j6]Forough Goudarzi, Hamid Asgari, Hamed S. Al-Raweshidy:
Traffic-Aware VANET Routing for City Environments - A Protocol Based on Ant Colony Optimization. IEEE Syst. J. 13(1): 571-581 (2019) - [j5]Forough Goudarzi, Hamid Asgari:
Non-Cooperative Beacon Power Control for VANETs. IEEE Trans. Intell. Transp. Syst. 20(2): 777-782 (2019) - [j4]Forough Goudarzi, Hamid Asgari, Hamed S. Al-Raweshidy:
Fair and stable joint beacon frequency and power control for connected vehicles. Wirel. Networks 25(8): 4979-4990 (2019) - 2018
- [j3]Hamid Asgari, Sarah Haines, Ondrej Rysavý:
Identification of Threats and Security Risk Assessments for Recursive Internet Architecture. IEEE Syst. J. 12(3): 2437-2448 (2018) - 2017
- [j2]Forough Goudarzi, Hamid Asgari:
Non-Cooperative Beacon Rate and Awareness Control for VANETs. IEEE Access 5: 16858-16870 (2017) - 2013
- [j1]Hamid Asgari, Xiaoqi Chen, Raazesh Sainudiin:
Modelling and simulation of gas turbines. Int. J. Model. Identif. Control. 20(3): 253-270 (2013)
Conference and Workshop Papers
- 2023
- [c12]Abanoub Ghobrial, Darryl Hond, Hamid Asgari, Kerstin Eder:
A Trustworthiness Score to Evaluate DNN Predictions. AITest 2023: 9-16 - [c11]Gabriele Incorvaia, Darryl Hond, Hamid Asgari:
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. AITest 2023: 26-33 - 2022
- [c10]Darryl Hond, Hamid Asgari, Leonardo Symonds, Mike Newman:
Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers. ICAA 2022: 56-63 - 2021
- [c9]Seyyed MohammadMahdi Shahabi, Zhaohui Yang, Hamid Asgari, Gilles Charbit, Mohammad Shikh-Bahaei:
Hybrid Beamforming for Distributed Intelligent Reflecting Surfaces-Aided Systems. GLOBECOM (Workshops) 2021: 1-6 - [c8]Junhao Fang, Zhaohui Yang, Nasreen Anjum, Ye Hu, Hamid Asgari, Mohammad Shikh-Bahaei:
Secure Intelligent Reflecting Surface Assisted UAV Communication Networks. ICC Workshops 2021: 1-6 - [c7]Xizhe Zhang, Siddartha Khastgir, Hamid Asgari, Paul A. Jennings:
Test Framework for Automatic Test Case Generation and Execution Aimed at Developing Trustworthy AVs from Both Verifiability and Certifiability Aspects. ITSC 2021: 312-319 - 2020
- [c6]Darryl Hond, Hamid Asgari, Daniel Jeffery:
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures. ICMLA 2020: 115-121 - [c5]Minghui Zhang, Ming Chen, Zhaohui Yang, Hamid Asgari, Mohammad Shikh-Bahaei:
Joint User Clustering and Passive Beamforming for Downlink NOMA System with Reconfigurable Intelligent Surface. PIMRC 2020: 1-6 - 2019
- [c4]Forough Goudarzi, Hamid Asgari, Hamed S. Al-Raweshidy, Evtim Peytchev:
Joint Beacon Power and Rate Control for Vehicular Ad Hoc Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1377-1383 - 2016
- [c3]Hamid Asgari, Sarah Haines, Adrian Waller:
Security Risk Assessment and Risk Treatment for Integrated Modular Communication. ARES 2016: 503-509 - [c2]Eduard Grasa, Ondrej Rysavý, Ondrej Lichtner, Hamid Asgari, John Day, Lou Chitkushev:
From protecting protocols to layers: Designing, implementing and experimenting with security policies in RINA. ICC 2016: 1-7 - 2004
- [c1]Panos Georgatsos, Jason Spencer, David Griffin, Takis Damilatis, Hamid Asgari, Jonas Griem, George Pavlou, Pierrick Morand:
Provider-Level Service Agreements for Inter-domain QoS Delivery. QofIS 2004: 368-377
Informal and Other Publications
- 2023
- [i4]Abanoub Ghobrial, Hamid Asgari, Kerstin Eder:
Towards a Measure of Trustworthiness to Evaluate CNNs During Operation. CoRR abs/2301.08839 (2023) - [i3]Abanoub Ghobrial, Samuel Budgett, Dieter Balemans, Hamid Asgari, Philippe Reiter, Kerstin Eder:
Evaluation Metrics for DNNs Compression. CoRR abs/2305.10616 (2023) - 2022
- [i2]Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder:
Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation. CoRR abs/2205.00147 (2022) - 2020
- [i1]Hamid Asgari, Juha Kortelainen, Mikko Tahkola:
Enhancing Technical Simulations with Machine Learning. ERCIM News 2020(122) (2020)
Coauthor Index
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