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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, 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 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

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

2019

• 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

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, Details DOI BIB