Andrey Morozov

Orcid: 0000-0002-6935-3563

Affiliations:
  • University of Stuttgart, Germany
  • Dresden University of Technology, Germany (PhD 2013)


According to our database1, Andrey Morozov authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment.
CoRR, 2024

Concept: Dynamic Risk Assessment for AI-Controlled Robotic Systems.
CoRR, 2024

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions.
CoRR, 2023

Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Case Study: ROS-Based Fault Injection for Risk Analysis of Robotic Manipulator.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Case study on automated and continuous reliability assessment of software-defined manufacturing based on digital twins.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink.
Proceedings of the Model-Based Safety and Assessment - 8th International Symposium, 2022

Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Automated Model-Based Reliability Assessment of Software-Defined Manufacturing.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System.
CoRR, 2021

2020
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs.
CoRR, 2020

Iterative Variable Reordering: Taming Huge System Families.
Proceedings of the 4th Workshop on Models for Formal Analysis of Real Systems, 2020

Reduction Methods on Probabilistic Control-flow Programs for Reliability Analysis.
CoRR, 2020

Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks.
Proceedings of the Model-Based Safety and Assessment - 7th International Symposium, 2020

Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

Exploring Fault Parameter Space Using Reinforcement Learning-based Fault Injection.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

2019
Breaking the Limits of Redundancy Systems Analysis.
CoRR, 2019

Efficient Model-Level Reliability Analysis of Simulink Models.
Proceedings of the Computer Safety, Reliability, and Security, 2019

OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Quantification of the Impact of Random Hardware Faults on Safety-Critical AI Applications: CNN-Based Traffic Sign Recognition Case Study.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods.
Proceedings of the 15th European Dependable Computing Conference, 2019

2018
MORE: MOdel-based REdundancy for Simulink.
Proceedings of the Computer Safety, Reliability, and Security, 2018

Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

2017
Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software.
Proceedings of the 2017 International Conference on Software Analysis, 2017

ErrorSim: A Tool for Error Propagation Analysis of Simulink Models.
Proceedings of the Computer Safety, Reliability, and Security, 2017

Classification of Hierarchical Fault-Tolerant Design Patterns.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
Stochastic Error Propagation Analysis of Model-driven Space Robotic Software Implemented in Simulink.
Proceedings of the 3rd Workshop on Model-Driven Robot Software Engineering, 2016

2015
Dependability aspects of model-based systems design for mechatronic systems.
Proceedings of the IEEE International Conference on Mechatronics, 2015

2012
Dual-graph model for error propagation analysis of mechatronic systems.
PhD thesis, 2012


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