Alex Serban
Alex Serban
Siemens Healthineers, Leiden 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
Adversarial Examples on Object Recognition: A Comprehensive Survey
A Serban, E Poll, J Visser
ACM Computing Surveys (CSUR) 53 (3), 2020
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
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
Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban
IEEE International Conference on Software Architecture (ICSA), 2019
Tactical Safety Reasoning. A Case for Autonomous Vehicles.
AC Serban, E Poll, J Visser
IEEE 87th Vehicular Technology Conference (VTC Spring), 1 - 5, 2018
A Security Analysis of the ETSI ITS Vehicular Communications
AC Serban, E Poll, J Visser
International Conference on Computer Safety, Reliability, and Security …, 2018
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
An Empirical Study of Software Architecture for Machine Learning
A Serban, J Visser
arXiv preprint arXiv:2105.12422, 2021
GraphRepo: Fast Exploration in Software Repository Mining
A Serban, M Bruntink, J Visser
arXiv preprint arXiv:2008.04884, 2020
Deep Repulsive Prototypes for Adversarial Robustness
A Serban, E Poll, J Visser
arXiv preprint arXiv:2105.12427, 2021
AutoML Adoption in ML Software
K Van der Blom, A Serban, H Hoos, J Visser
8th ICML Workshop on Automated Machine Learning (AutoML), 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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