Saptarshi Bej

According to our database, Saptarshi Bej authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Bitter peptide prediction using graph neural networks.

Prashant Srivastava, Alexandra Steuer, Francesco Ferri, Alessandro Nicoli, Kristian Schultz, Saptarshi Bej, Antonella Di Pizio, Olaf Wolkenhauer

J. Cheminformatics, December, 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

Convex space learning for tabular synthetic data generation.

Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian Schultz, Olaf Wolkenhauer

CoRR, 2024

Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data.

Rahul Bordoloi, Clémence Réda, Orell Trautmann, Saptarshi Bej, Olaf Wolkenhauer

CoRR, 2024

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

Attention Retrieval Model for Entity Relation Extraction From Biological Literature.

Prashant Srivastava, Saptarshi Bej, Kristian Schultz, Kristina Y. Yordanova, Olaf Wolkenhauer

IEEE Access, 2022

2021

Improved imbalanced classification through convex space learning.

Saptarshi Bej

PhD thesis, 2021

LoRAS: an oversampling approach for imbalanced datasets.

Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer

Mach. Learn., 2021

A multi-schematic classifier-independent oversampling approach for imbalanced datasets.

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

CoRR, 2021

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling.

Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer

BMC Bioinform., 2021

A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets.

Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer

IEEE Access, 2021

Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets.

Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer

Proceedings of the International Joint Conference on Neural Networks, 2021