Prashant Srivastava

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 6

Top Topics

Cost Sensitive Learning

Misclassification Costs

Imbalanced Datasets

Ensemble Methods

Top Venues

Pattern Recognit.

Publications

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 (2024)
Prashant Srivastava, Saptarshi Bej, Kristian Schultz, Kristina Y. Yordanova, Olaf Wolkenhauer
Attention Retrieval Model for Entity Relation Extraction From Biological Literature. IEEE Access 10 (2022)
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 (2022)
Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets. IEEE Access 9 (2021)
Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
A multi-schematic classifier-independent oversampling approach for imbalanced datasets. CoRR (2021)
Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets. IJCNN (2021)
Vivek Kumar Sehgal, Rohit Sharma, Nitin, Deepankar Bhardwaj, Yaras Agarwal, Mehboob Shrivastava, Prashant Srivastava, Avinash Kumar
D-Torus Topology in Networks-on-Chip: A Perspective Study. ESA (2009)