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Journal Articles
- 2024
[j3]Prashant Srivastava, Alexandra Steuer, Francesco Ferri, Alessandro Nicoli, Kristian Schultz, Saptarshi Bej, Antonella Di Pizio, Olaf Wolkenhauer:
Bitter peptide prediction using graph neural networks. J. Cheminformatics 16(1): 111 (2024)- [j2]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) - 2022
- [j1]Prashant Srivastava, Saptarshi Bej, Kristian Schultz, Kristina Y. Yordanova, Olaf Wolkenhauer:
Attention Retrieval Model for Entity Relation Extraction From Biological Literature. IEEE Access 10: 22429-22440 (2022)
Informal and Other Publications
- 2024
- [i3]Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian Schultz, Olaf Wolkenhauer:
Convex space learning for tabular synthetic data generation. CoRR abs/2407.09789 (2024) - 2022
- [i2]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
- [i1]Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
A multi-schematic classifier-independent oversampling approach for imbalanced datasets. CoRR abs/2107.07349 (2021)
Coauthor Index
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last updated on 2024-10-15 21:40 CEST by the dblp team
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