A Standard Driven Software Architecture for Fully Autonomous Vehicles. - Alexandru Constantin Serban; Erik Poll; Joost Visser 001 (ICSA Companion, 2018)

A Security Analysis of the ETSI ITS Vehicular Communications. - Alexandru Constantin Serban; Erik Poll; Joost Visser 001 (SAFECOMP Workshops, 2018)

Tactical Safety Reasoning. A Case for Autonomous Vehicles. - Alexandru Constantin Serban; Erik Poll; Joost Visser 001 (VTC Spring, 2018)

Adversarial Examples - A Complete Characterisation of the Phenomenon. - Alexandru Constantin Serban; Erik Poll (CoRR, 2018)

Designing Safety Critical Software Systems to Manage Inherent Uncertainty. - Alexandru Constantin Serban (ICSA Companion, 2019)

Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks. - Steven Carr 002; Nils Jansen 001; Ralf Wimmer 001; Alexandru Constantin Serban; Bernd Becker 001; Ufuk Topcu (IJCAI, 2019)

Safe Reinforcement Learning Using Probabilistic Shields (Invited Paper). - Nils Jansen 001; Bettina Könighofer; Sebastian Junges; Alex Serban; Roderick Bloem (CONCUR, 2020)

Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty. - Alex Serban; Erik Poll; Joost Visser 001 (ECSA, 2020)

Adoption and Effects of Software Engineering Best Practices in Machine Learning. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (ESEM, 2020)

Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise. - Alex Serban; Erik Poll; Joost Visser 001 (ICANN (1), 2020)

GraphRepo: Fast Exploration in Software Repository Mining. - Alex Serban; Magiel Bruntink; Joost Visser 001 (CoRR, 2020)

Practices for Engineering Trustworthy Machine Learning Applications. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (WAIN@ICSE, 2021)

An Empirical Study of Software Architecture for Machine Learning. - Alex Serban; Joost Visser 001 (CoRR, 2021)

Deep Repulsive Prototypes for Adversarial Robustness. - Alex Serban; Erik Poll; Joost Visser 001 (CoRR, 2021)

Adversarial Examples on Object Recognition: A Comprehensive Survey. - Alexandru Constantin Serban; Erik Poll; Joost Visser 001 (ACM Comput. Surv., 2021)

Adapting Software Architectures to Machine Learning Challenges. - Alex Serban; Joost Visser 001 (SANER, 2022)

Adversarial Machine Learning. - Carlos Javier Hernández-Castro; Zhuoran Liu 001; Alex Serban; Ilias Tsingenopoulos; Wouter Joosen (Security and Artificial Intelligence, 2022)

Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies. - Cosmin-Andrei Hatfaludi; Daniel Bunescu; Costin Florian Ciusdel; Alex Serban; Karl Böse; Marc Oppel; Stephanie Schröder; Christopher Seehase; Harald F. Langer; Jeanette Erdmann; Henry Nording; Lucian Mihai Itu (CBMS, 2023)

Generative 3D Cardiac Shape Modelling for in-silico Trials. - Andrei Gasparovici; Alex Serban (EFMI-STC, 2024)

Software engineering practices for machine learning - Adoption, effects, and team assessment. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (J. Syst. Softw., 2024)

Foundational models and federated learning: survey, taxonomy, challenges and practical insights. - Cosmin-Andrei Hatfaludi; Alex Serban (PeerJ Comput. Sci., 2025)

ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies. - Costin Florian Ciusdel; Alex Serban; Tiziano Passerini (CoRR, 2025)