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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, September 2024. 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, September 2024. Details BIB

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

• 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, 2020. 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, 2020. 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

2019

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

2018

• December 2018 A Bird's Eye View on Requirements Engineering and Machine Learning Tahira Iqbal , Parisa Elahidoost and Levi Lúcio In Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC), pages 11-20, December 2018. Details DOI BIB