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2024

• 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 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

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

2019

• 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