Scientific publications

Keywords: learning

2024

September 2024 Mapping Solar Potential: Comprehensive PV System Detection with Aerial and Satellite Images Using SolarSAM Jessy Matar, Michael Albrecht, Aleksandre Kandelaki, Florian Kotthoff and Markus Duchon In IEEE SmartGridComm 2024 Conference, Oslo, Norway, Details BIB
September 2024 Smart Energy Forecasting: An In-depth Study on Forecasting Methods for Electric-thermal Storage Systems Cristian Sebastian Cubides-Herrera, Jan Mayer, Jessy Matar and Markus Duchon In IEEE SmartGridComm 2024 Conference, Oslo, Norway, Details BIB

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, CEUR Workshop Proceedings. Details URL BIB

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 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, Association for Computing Machinery. Details DOI BIB

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, Details URL BIB

2020 Draw with Me: Human-in-the-Loop for Image Restoration Thomas Weber, Zhiwei Han, Stefan Matthes, Heinrich Hußmann and Yuanting Liu In the 43rd German Conference on AI, pages 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 and Yuanting Liu In the 25th International Conference on Intelligent User Interfaces, pages 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 and Bashar Altakrouri , ():, 2020. Details URL BIB

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