fortiss scientific publications

Scientific publications

Publications, journal articles and brochures with results from the institute

Scientific publications

Keywords: learning

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2025

  • May 2025 Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models Luciano Baresi , Davide Yi Xian Hu , Andrea Stocco and Paolo Tonella In Proceedings of the 47th International Conference on Software Engineering, pages 12 pages, May 2025. IEEE. Details URL DOI BIB
  • April 2025 Benchmarking Generative AI Models for Deep Learning Test Input Generation Maryam Maryam , Matteo Biagiola , Vincenzo Riccio and Andrea Stocco In Proceedings of the 18th IEEE International Conference on Software Testing, Verification and Validation, April 2025. IEEE. Details URL BIB
  • March 2025 Exploring the Potential of Freely Available Satellite Data for Energy Applications Jessy Matar , Mahdi Koubaa and Markus Duchon In 2nd NFDI4Energy Conference 2025, Karlsruhe, March 2025. Details URL BIB

2024

2023

  • October 2023 Neurorobotic reinforcement learning for domains with parametrical uncertainty Camilo Amaya and Axel von Arnim Frontiers in Neurorobotics, 17():, October 2023. Details URL DOI BIB
  • September 2023 Interaction Patterns for Regulatory Compliance in Federated Learning Mahdi Sellami , Tomas Bueno Momčilović , Peter Kuhn and Dian Balta In CIISR 2023: 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research, co-located with the 18th International Conference on Wirtschaftsinformatik (WI 2023), September 18, 2023, Paderborn, Germany, pages 6-18, September 2023. CEUR Workshop Proceedings. Details URL BIB

2022

  • February 2022 Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach Nathalie Baracaldo , Ali Anwar , Mark Purcell , Ambrish Rawat , Mathieu Sinn , Bashar Altakrouri , Dian Balta , Mahdi Sellami , Peter Kuhn and Matthias Buchinger February 2022. Details URL DOI BIB
  • 2022 Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation Peter Bludau and Alexander Pretschner In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, pages 22-31, 2022. Association for Computing Machinery. Details DOI BIB

2021

  • April 2021 Smart Self-Adaptive Cyber-Physical Systems: How can Exploration and Learning Improve Performance in a Partially Observable Multi-Agent Context? Ana Petrovska , Malte Neuss , Sebastian Bergemann , Martin Büchner and Ansab Shohab In ADAPTIVE 2021: The Thirteenth International Conference on Adaptive and Self-Adaptive Systems and Applications, April 2021. Details URL BIB

2020

2019

2018