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2020 – today
- 2024
[j6]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)- [j5]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) - [i5]Rahul Bordoloi, Clémence Réda, Orell Trautmann, Saptarshi Bej, Olaf Wolkenhauer:
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data. CoRR abs/2402.13103 (2024) - [i4]Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian Schultz, Olaf Wolkenhauer:
Convex space learning for tabular synthetic data generation. CoRR abs/2407.09789 (2024) - 2022
- [j4]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) - [i3]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
- [b1]Saptarshi Bej:
Improved imbalanced classification through convex space learning. University of Rostock, Germany, 2021 - [j3]Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets. IEEE Access 9: 123358-123374 (2021) - [j2]Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer:
Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling. BMC Bioinform. 22(1): 557 (2021) - [j1]Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer:
LoRAS: an oversampling approach for imbalanced datasets. Mach. Learn. 110(2): 279-301 (2021) - [c1]Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets. IJCNN 2021: 1-8 - [i2]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)
2010 – 2019
- 2019
- [i1]Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer:
LoRAS: An oversampling approach for imbalanced datasets. CoRR abs/1908.08346 (2019)
Coauthor Index
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