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2025

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

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 und Markus Duchon In IEEE SmartGridComm 2024 Conference, Oslo, Norway, September 2024. Details URL 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 und Markus Duchon In IEEE SmartGridComm 2024 Conference, Oslo, Norway, September 2024. Details URL BIB

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, September 2023. 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 Februar 2022. 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, 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 und 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 und Yuanting Liu In the 43rd German Conference on AI, Seiten 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 und Yuanting Liu In the 25th International Conference on Intelligent User Interfaces, Seiten 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 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, Juli 2019. Details DOI BIB
• 2019 Real-Time Personalization in Adaptive IDEs Matthias Schmidmaier , Zhiwei Han , Thomas Weber , Yuanting Liu und Heinrich Hußmann Seiten 81-86, 2019. ACM. Details URL BIB

2018

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