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A Toolbox for the Nearly-Unsupervised Construction of Digital Library Knowledge Graphs

H. Kroll, J. Pirklbauer, и W. Balke. ACM/IEEE Joint Conference on Digital Libraries, JCDL 2021, Champaign, IL, USA, September 27-30, 2021, стр. 21--30. IEEE, (2021)
DOI: 10.1109/JCDL52503.2021.00014

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Klaus Pirklbauer

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Employing Real Training Data for Deep Noise Suppression.Z. Xu, M. Sach, J. Pirklbauer, и T. Fingscheidt. CoRR, (2023)A library perspective on nearly-unsupervised information extraction workflows in digital libraries.H. Kroll, J. Pirklbauer, F. Plötzky, и W. Balke. JCDL, стр. 35. ACM, (2022)What a publication tells you: benefits of narrative information access in digital libraries.H. Kroll, F. Plötzky, J. Pirklbauer, и W. Balke. JCDL, стр. 9. ACM, (2022)A discovery system for narrative query graphs: entity-interaction-aware document retrieval.H. Kroll, J. Pirklbauer, J. Kalo, M. Kunz, J. Ruthmann, и W. Balke. Int. J. Digit. Libr., 25 (1): 3-24 (марта 2024)A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy.B. Möller, J. Pirklbauer, M. Klingner, P. Kasten, M. Etzkorn, T. Seifert, U. Schlickum, и T. Fingscheidt. CVPR Workshops, стр. 4263-4272. IEEE, (2023)

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Klaus Pirklbauer

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Matthäus Janczyk

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