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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 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

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, 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

2019

• 2019 Real-Time Personalization in Adaptive IDEs Matthias Schmidmaier, Zhiwei Han, Thomas Weber, Yuanting Liu and Heinrich Hußmann volume , pages 81-86, , edition, 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, Details DOI BIB