1 citations · 3 across the 4 of their papers we have counts for
4 papers
A Construction of Arbitrarily Large Type-II Complementary Code Set
Rajen Kumar, Prashant Kumar Srivastava, Sudhan Majhi
For a type-I -ZCCS, it follows . In this paper, we propose a construction of type-II $(p^{k+n},p^k,p^{n+r}-p^r+1,p^{n+r})…
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets
Kristian Schultz, Saptarshi Bej, Waldemar Hahn +3
Data is commonly stored in tabular format. Several fields of research are prone to small imbalanced tabular data. Supervised Machine Learning on such data is often difficult due to…
A Construction of Type-II ZCCS for the MC-CDMA System with Low PMEPR
Rajen Kumar, Sushant Kumar Jha, Prashant Kumar Srivastava +1
In this letter, we propose a novel construction of type-II -complementary code set (ZCCS) having arbitrary sequence length using the Kronecker product between a complete complem…
A multi-schematic classifier-independent oversampling approach for imbalanced datasets
Saptarshi Bej, Kristian Schultz, Prashant Srivastava +2
Over 85 oversampling algorithms, mostly extensions of the SMOTE algorithm, have been built over the past two decades, to solve the problem of imbalanced datasets. However, it has b…