fortiss wissenschaftliche Publikationen

Wissenschaftliche Publikationen

Veröffentlichungen, Zeitschriftenaufsätze und Broschüren mit Ergebnissen aus dem Institut

Wissenschaftliche Publikationen

Stichworte: learning

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2024

2023

  • Oktober 2023 Neurorobotic reinforcement learning for domains with parametrical uncertainty Camilo Amaya und Axel von Arnim Frontiers in Neurorobotics, 17():, Oktober 2023. Details URL DOI BIB
  • September 2023 Interaction Patterns for Regulatory Compliance in Federated Learning Mahdi Sellami, Tomas Bueno Momčilović, Peter Kuhn und 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, Seiten 6-18, CEUR Workshop Proceedings. Details URL BIB

2022

  • Februar 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 und Matthias Buchinger Details URL DOI BIB
  • 2022 Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation Peter Bludau und Alexander Pretschner In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, Seiten 22-31, 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 und Ansab Shohab In ADAPTIVE 2021: The Thirteenth International Conference on Adaptive and Self-Adaptive Systems and Applications, Details URL BIB

2020