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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

• 2020 Draw with Me: Human-in-the-Loop for Image Restoration Thomas Weber, Zhiwei Han, Stefan Matthes, Heinrich Hußmann und Yuanting Liu In the 43rd German Conference on AI, Seiten 245-248, Springer. Details URL BIB
• 2020 Draw with me: human-in-the-loop for image restoration Thomas Weber, Zhiwei Han, Stefan Matthes, Heinrich Hußmann und Yuanting Liu In the 25th International Conference on Intelligent User Interfaces, Seiten 243-253, ACM. Details URL BIB
• 2020 Personalized Stress Detection with Self-supervised Learned Features Stefan Matthes, Zhiwei Han, Tianming Qiu, Bruno Michel, Sören Klingner, Hao Shen, Yuanting Liu und Bashar Altakrouri , ():, 2020. Details URL BIB

2019

• Juli 2019 Towards Machine Learning for Learnability of MDD Tools Saad bin Abid, Vishal Mahajan und Levi Lúcio In Software Engineering and Knowledge Engineering (SEKE) Conference, Lisbon, Portugal, Seiten 1–6, Details DOI BIB
• 2019 Real-Time Personalization in Adaptive IDEs Matthias Schmidmaier, Zhiwei Han, Thomas Weber, Yuanting Liu und Heinrich Hußmann Band , Seiten 81-86, , Ausgabe, 2019. , ACM. Details URL BIB