Alex Serban
Alex Serban
Software Improvement Group, Radboud University
Verified email at - Homepage
Cited by
Cited by
Safe Reinforcement Learning Using Probabilistic Shields
N Jansen, B Könighofer, S Junges, AC Serban, R Bloem
arXiv, arXiv: 1807.06096, 2018
A Standard Driven Software Architecture for Fully Autonomous Vehicles
A Serban, E Poll, J Visser
Journal of Automotive Software Engineering (JASE) 1 (1), 2020
Adversarial Examples - A Complete Characterisation of the Phenomenon
AC Serban, E Poll, J Visser
arXiv preprint arXiv:1810.01185, 2018
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
S Carr, N Jansen, R Wimmer, AC Serban, B Becker, U Topcu
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Adversarial Examples on Object Recognition: A Comprehensive Survey
A Serban, E Poll, J Visser
ACM Computing Surveys (CSUR) 53 (3), 2020
Tactical Safety Reasoning. A Case for Autonomous Vehicles.
AC Serban, E Poll, J Visser
IEEE 87th Vehicular Technology Conference (VTC Spring), 1 - 5, 2018
Adoption and Effects of Software Engineering Best Practices in Machine Learning
A Serban, K van der Blom, H Hoos, J Visser
ACM/IEEE International Symposium on Empirical Software Engineering and …, 2020
Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban
IEEE International Conference on Software Architecture (ICSA), 2019
A Security Analysis of the ETSI ITS Vehicular Communications
AC Serban, E Poll, J Visser
International Conference on Computer Safety, Reliability, and Security …, 2018
GraphRepo: Fast Exploration in Software Repository Mining
A Serban, M Bruntink, J Visser
arXiv preprint arXiv:2008.04884, 2020
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
A Serban, E Poll, J Visser
European Conference on Software Architecture (ECSA), 2020
Practices for Engineering Trustworthy Machine Learning Applications
A Serban, K van der Blom, H Hoos, J Visser
Workshop on AI Engineering WAIN’21@ICSE’21, 2021
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
A Serban, E Poll, J Visser
International Conference on Artificial Neural Networks (ICANN), 2020
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