Alex Serban

24 papers A 2B 3Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies.
CoRR
Costin Florian Ciusdel, Alex Serban, Tiziano Passerini
2025 J jnl
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights.
CoRR
Cosmin-Andrei Hatfaludi, Alex Serban
2025 J jnl
Foundational models and federated learning: survey, taxonomy, challenges and practical insights.
PeerJ Comput. Sci.
Cosmin-Andrei Hatfaludi, Alex Serban
2025 J jnl
Universal medical image segmentation via in-context cross-attention.
Frontiers Artif. Intell.
Costin Florian Ciusdel, Alex Serban, Tiziano Passerini
2024 J jnl
Deep learning based detection of collateral circulation in coronary angiographies.
CoRR
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
2024 J jnl
Generative 3D Cardiac Shape Modelling for In-Silico Trials.
CoRR
Andrei Gasparovici, Alex Serban
2024 — conf
Generative 3D Cardiac Shape Modelling for in-silico Trials.
EFMI-STC
Andrei Gasparovici, Alex Serban
2024 J jnl
Software engineering practices for machine learning - Adoption, effects, and team assessment.
J. Syst. Softw.
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2023 B conf
Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies.
CBMS
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
2022 A conf
Adapting Software Architectures to Machine Learning Challenges.
SANER
Alex Serban, Joost Visser
2022 — ch.
Adversarial Machine Learning.
Security and Artificial Intelligence
Carlos Javier Hernández-Castro, Zhuoran Liu, Alex Serban, Ilias Tsingenopoulos, Wouter Joosen
2021 J jnl
An Empirical Study of Software Architecture for Machine Learning.
CoRR
Alex Serban, Joost Visser
2021 J jnl
Deep Repulsive Prototypes for Adversarial Robustness.
CoRR
Alex Serban, Erik Poll, Joost Visser
2021 — conf
Practices for Engineering Trustworthy Machine Learning Applications.
WAIN@ICSE
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2021 J jnl
Practices for Engineering Trustworthy Machine Learning Applications.
CoRR
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2020 A conf
Adoption and Effects of Software Engineering Best Practices in Machine Learning.
ESEM
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2020 J jnl
Adoption and Effects of Software Engineering Best Practices in Machine Learning.
CoRR
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
2020 J jnl
Adversarial Examples on Object Recognition: A Comprehensive Survey.
CoRR
Alex Serban, Erik Poll, Joost Visser
2020 J jnl
GraphRepo: Fast Exploration in Software Repository Mining.
CoRR
Alex Serban, Magiel Bruntink, Joost Visser
2020 — conf
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise.
ICANN (1)
Alex Serban, Erik Poll, Joost Visser
2020 J jnl
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise.
CoRR
Alex Serban, Erik Poll, Joost Visser
2020 B conf
Safe Reinforcement Learning Using Probabilistic Shields (Invited Paper).
CONCUR
Nils Jansen, Bettina Könighofer, Sebastian Junges, Alex Serban, Roderick Bloem
2020 B conf
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty.
ECSA
Alex Serban, Erik Poll, Joost Visser
2020 J jnl
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty.
CoRR
Alex Serban, Erik Poll, Joost Visser