Alex Serban

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Inherent Uncertainty

Robust Optimization

Software Engineering

Top Venues

Publications

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Software engineering practices for machine learning - Adoption, effects, and team assessment. J. Syst. Softw. 209 (2024)
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
Deep learning based detection of collateral circulation in coronary angiographies. CoRR (2024)
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
Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies. CBMS (2023)
Alex Serban, Joost Visser
Adapting Software Architectures to Machine Learning Challenges. SANER (2022)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE (2021)
Alex Serban, Erik Poll, Joost Visser
Deep Repulsive Prototypes for Adversarial Robustness. CoRR (2021)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. CoRR (2021)
Alex Serban, Joost Visser
An Empirical Study of Software Architecture for Machine Learning. CoRR (2021)
Alex Serban, Magiel Bruntink, Joost Visser
GraphRepo: Fast Exploration in Software Repository Mining. CoRR (2020)
Alex Serban, Erik Poll, Joost Visser
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise. CoRR (2020)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM (2020)
Alex Serban, Erik Poll, Joost Visser
Adversarial Examples on Object Recognition: A Comprehensive Survey. CoRR (2020)
Alex Serban, Erik Poll, Joost Visser
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty. ECSA (2020)
Alex Serban, Erik Poll, Joost Visser
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty. CoRR (2020)
Nils Jansen, Bettina Könighofer, Sebastian Junges, Alex Serban, Roderick Bloem
Safe Reinforcement Learning Using Probabilistic Shields (Invited Paper). CONCUR (2020)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR (2020)
Alex Serban, Erik Poll, Joost Visser
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise. ICANN (1) (2020)