Carola Lenzen, Alexander Schiendorfer and Wolfgang Reif. 2022. A recommendation system for CAD assembly modeling based on graph neural networks. In ECML/PKDD 2022: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Grenoble, France, 19-23 September 2022. , 1-17
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Carola Lenzen, Alexander Schiendorfer and Wolfgang Reif. 2022. Graph machine learning for assembly modeling. In LoG 2022: The First Learning on Graphs Conference, 9-12 December 2022, virtual event.
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Miriam Elia, Carola Gajek, Alexander Schiendorfer and Wolfgang Reif. 2021. An interactive web application for decision tree learning. In Bernd Bischl, Oliver Guhr, Heidi Seibold and Peter Steinbach (Ed.). Proceedings of the Teaching Machine Learning Workshop at ECML-PKDD 2020, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 14 September 2020, Virtual Conference. ML Research Press (PMLR - Proceedings of Machine Learning Research ; 141), 11-16.
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Alexander Schiendorfer, Carola Gajek and Wolfgang Reif. 2021. Turning software engineers into machine learning engineers. In Bernd Bischl, Oliver Guhr, Heidi Seibold, Peter Steinbach (Eds.). Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop at ECML-PKDD 2020, 14 September 2020, virtual conference. ML Research Press, 36-41
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Carola Gajek, Alexander Schiendorfer and Wolfgang Reif. 2020. A chained neural network model for photovoltaic power forecast. Lecture Notes in Computer Science 11943, 566-578. DOI: 10.1007/978-3-030-37599-7_47
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