Prashant Srivastava

According to our database, Prashant Srivastava authored at least 7 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• 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

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

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

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

CoRR, 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

2009

D-Torus Topology in Networks-on-Chip: A Perspective Study.

Vivek Kumar Sehgal, Rohit Sharma, Nitin, Deepankar Bhardwaj, Yaras Agarwal, Mehboob Shrivastava, Prashant Srivastava, Avinash Kumar

Proceedings of the 2009 International Conference on Embedded Systems & Applications, 2009