Alex Serban
Alex Serban
Software Improvement Group, Radboud University
Geverifieerd e-mailadres voor cs.ru.nl - Homepage
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Safe Reinforcement Learning Using Probabilistic Shields
N Jansen, B Könighofer, S Junges, AC Serban, R Bloem
arXiv, arXiv: 1807.06096, 2018
43*2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
AC Serban, E Poll, J Visser
arXiv preprint arXiv:1810.01185, 2018
292018
A Standard Driven Software Architecture for Fully Autonomous Vehicles
A Serban, E Poll, J Visser
Journal of Automotive Software Engineering (JASE) 1 (1), 2020
282020
Adversarial Examples on Object Recognition: A Comprehensive Survey
A Serban, E Poll, J Visser
ACM Computing Surveys (CSUR) 53 (3), 2020
132020
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
122020
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
122019
Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban
IEEE International Conference on Software Architecture (ICSA), 2019
102019
Tactical Safety Reasoning. A Case for Autonomous Vehicles.
AC Serban, E Poll, J Visser
IEEE 87th Vehicular Technology Conference (VTC Spring), 1 - 5, 2018
102018
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
A Serban, E Poll, J Visser
European Conference on Software Architecture (ECSA), 2020
32020
A Security Analysis of the ETSI ITS Vehicular Communications
AC Serban, E Poll, J Visser
International Conference on Computer Safety, Reliability, and Security …, 2018
32018
GraphRepo: Fast Exploration in Software Repository Mining
A Serban, M Bruntink, J Visser
arXiv preprint arXiv:2008.04884, 2020
12020
An Empirical Study of Software Architecture for Machine Learning
A Serban, J Visser
arXiv preprint arXiv:2105.12422, 2021
2021
Deep Repulsive Prototypes for Adversarial Robustness
A Serban, E Poll, J Visser
arXiv preprint arXiv:2105.12427, 2021
2021
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
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
2020
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Artikelen 1–15