Alexandru Constantin Serban

According to our database, Alexandru Constantin Serban authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Software engineering practices for machine learning - Adoption, effects, and team assessment.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

J. Syst. Softw., March, 2024

2023

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

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Adversarial Machine Learning.

Carlos Javier Hernández-Castro, Zhuoran Liu, Alex Serban, Ilias Tsingenopoulos, Wouter Joosen

Security and Artificial Intelligence, 2022

Adapting Software Architectures to Machine Learning Challenges.

Alex Serban, Joost Visser

Proceedings of the IEEE International Conference on Software Analysis, 2022

2021

Adversarial Examples on Object Recognition: A Comprehensive Survey.

Alexandru Constantin Serban, Erik Poll, Joost Visser

ACM Comput. Surv., 2021

Deep Repulsive Prototypes for Adversarial Robustness.

Alex Serban, Erik Poll, Joost Visser

CoRR, 2021

An Empirical Study of Software Architecture for Machine Learning.

Alex Serban, Joost Visser

CoRR, 2021

Practices for Engineering Trustworthy Machine Learning Applications.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

2020

GraphRepo: Fast Exploration in Software Repository Mining.

Alex Serban, Magiel Bruntink, Joost Visser

CoRR, 2020

Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise.

Alex Serban, Erik Poll, Joost Visser

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Adoption and Effects of Software Engineering Best Practices in Machine Learning.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty.

Alex Serban, Erik Poll, Joost Visser

Proceedings of the Software Architecture - 14th European Conference, 2020

Safe Reinforcement Learning Using Probabilistic Shields (Invited Paper).

Nils Jansen, Bettina Könighofer, Sebastian Junges, Alex Serban, Roderick Bloem

Proceedings of the 31st International Conference on Concurrency Theory, 2020

2019

Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks.

Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Designing Safety Critical Software Systems to Manage Inherent Uncertainty.

Alexandru Constantin Serban

Proceedings of the IEEE International Conference on Software Architecture Companion, 2019

2018

Adversarial Examples - A Complete Characterisation of the Phenomenon.

Alexandru Constantin Serban, Erik Poll

CoRR, 2018

Tactical Safety Reasoning. A Case for Autonomous Vehicles.

Alexandru Constantin Serban, Erik Poll, Joost Visser

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

A Security Analysis of the ETSI ITS Vehicular Communications.

Alexandru Constantin Serban, Erik Poll, Joost Visser

Proceedings of the Computer Safety, Reliability, and Security, 2018

A Standard Driven Software Architecture for Fully Autonomous Vehicles.

Alexandru Constantin Serban, Erik Poll, Joost Visser

Proceedings of the 2018 IEEE International Conference on Software Architecture Companion, 2018