Waldemar Hahn

According to our database, Waldemar Hahn authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets.

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer

Pattern Recognit., March, 2024

2023

Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept.

Najia Ahmadi, Michele Zoch, Brita Sedlmayr, Katharina Schuler, Waldemar Hahn, Martin Sedlmayr, Markus Wolfien

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets.

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer

CoRR, 2022

Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation.

Waldemar Hahn, Martin Sedlmayr, Markus Wolfien

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Corpus and Baseline Model for Domain-Specific Entity Recognition in German.

Sunna Torge, Waldemar Hahn, René Jäkel, Wolfgang E. Nagel

Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021

Transfer Learning for Domain-Specific Named Entity Recognition in German.

Sunna Torge, Waldemar Hahn, René Jäkel

Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021