Julius Martinetz is a research associate of the Machine Learning Group of Technische Universität Berlin. He received a BS in Computer Science from Technische Universität Dresden in 2018 and an MS in Computer Science from the University of Bath, United Kingdom, in 2021. He is currently pursuing a PhD in the Machine Learning Group at TU Berlin and is associated with “The Sphere” project at the MPIWG for matters of machine-based visual element detection in historical sources.
Selected Publications
El-Hajj, Hassan, Oliver Eberle, Anika Merklein, Anna Irene Siebold, Noga Shlomi, Jochen Büttner, Julius Martinetz, Klaus-Robert Müller, Grégoire Montavon, and Matteo Valleriani (2023). “Explainability and Transparency in the Realm of Digital…
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Büttner, Jochen, Julius Martinetz, Hassan El-Hajj, and Matteo Valleriani (2022). “CorDeep and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents.” Journal of Imaging 8 (10, Article 285). https://doi.org/10.3390…
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Büttner, Jochen, Julius Martinetz, Hassan El-Hajj, and Matteo Valleriani (2022). “Sacrobosco Visual Element Dataset (S-VED).” Zenodo, October 4, 2022. https://doi.org/10.5281/zenodo.7142456.
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El-Hajj, Hassan, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Irene Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz, and Matteo Valleriani (2022). “An Ever-Expanding Humanities Knowledge Graph: The…
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