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Waldemar Hahn
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2020 – today
- 2024
- [j2]Jan-Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik, Uwe Platzbecker, Carsten Müller-Tidow, Hubert Serve, Claudia D. Baldus, Christoph Schliemann, Kerstin Schäfer-Eckart, Maher Hanoun, Martin Kaufmann, Andreas Burchert, Christian Thiede, Johannes Schetelig, Martin Sedlmayr, Martin Bornhäuser, Markus Wolfien, Jan Moritz Middeke:
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. npj Digit. Medicine 7(1) (2024) - [j1]Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer:
ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern Recognit. 147: 110138 (2024) - 2023
- [c4]Najia Ahmadi, Michele Zoch, Brita Sedlmayr, Katharina Schuler, Waldemar Hahn, Martin Sedlmayr, Markus Wolfien:
Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept. ICIMTH 2023: 139-140 - 2022
- [c3]Waldemar Hahn, Martin Sedlmayr, Markus Wolfien:
Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation. CSCI 2022: 613-622 - [i1]Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer:
Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets. CoRR abs/2206.09812 (2022) - 2021
- [c2]Sunna Torge, Waldemar Hahn, René Jäkel, Wolfgang E. Nagel:
Corpus and Baseline Model for Domain-Specific Entity Recognition in German. CIST 2021: 314-320 - [c1]Sunna Torge, Waldemar Hahn, René Jäkel:
Transfer Learning for Domain-Specific Named Entity Recognition in German. CIST 2021: 321-327
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last updated on 2024-10-07 22:07 CEST by the dblp team
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