| Software engineering practices for machine learning—Adoption, effects, and team assessment A Serban, K van der Blom, H Hoos, J Visser Journal of Systems and Software, 111907, 2023 | 1 | 2023 |
| Deep learning based detection of collateral circulation in coronary angiographies CA Hatfaludi, D Bunescu, CF Ciuşdel, A Serban, K Böse, M Oppel, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
| Designing Robust Autonomous Systems AC Serban Radboud Universiteit Nijmegen, 2022 | | 2022 |
| Adversarial machine learning CJ Hernández-Castro, Z Liu, A Serban, I Tsingenopoulos, W Joosen Security and Artificial Intelligence, 287-312, 2022 | 11 | 2022 |
| Adapting Software Architectures to Machine Learning Challenges A Serban, J Visser 29th IEEE International Conference on Software Analysis, Evolution and …, 2022 | 43* | 2022 |
| Deep Repulsive Prototypes for Adversarial Robustness A Serban, E Poll, J Visser arXiv preprint arXiv:2105.12427, 2021 | 3 | 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 | 14 | 2021 |
| Practices for Engineering Trustworthy Machine Learning Applications A Serban, K van der Blom, H Hoos, J Visser 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI …, 2021 | 22 | 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 | 1 | 2020 |
| GraphRepo: Fast Exploration in Software Repository Mining A Serban, M Bruntink, J Visser arXiv preprint arXiv:2008.04884, 2020 | 2 | 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 | 134 | 2020 |
| A Standard Driven Software Architecture for Fully Autonomous Vehicles A Serban, E Poll, J Visser Journal of Automotive Software Engineering (JASE) 1 (1), 2020 | 91 | 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 | 13 | 2020 |
| Adversarial Examples on Object Recognition: A Comprehensive Survey A Serban, E Poll, J Visser ACM Computing Surveys (CSUR) 53 (3), 2020 | 143 | 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 | 41 | 2019 |
| Designing Safety Critical Software Systems to Manage Inherent Uncertainty AC Serban IEEE International Conference on Software Architecture (ICSA), 2019 | 28 | 2019 |
| Adversarial Examples - A Complete Characterisation of the Phenomenon AC Serban, E Poll, J Visser arXiv preprint arXiv:1810.01185, 2018 | 60 | 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 | 13 | 2018 |
| Safe Reinforcement Learning Using Probabilistic Shields N Jansen, B Könighofer, S Junges, AC Serban, R Bloem arXiv, arXiv: 1807.06096, 2018 | 158* | 2018 |
| Tactical Safety Reasoning. A Case for Autonomous Vehicles. AC Serban, E Poll, J Visser IEEE 87th Vehicular Technology Conference (VTC Spring), 1 - 5, 2018 | 15 | 2018 |
Joost VisserProfessor, LIACS, Leiden University在 liacs.leidenuniv.nl 的电子邮件经过验证
