16 citations · 16 across the 3 of their papers we have counts for
3 papers
Quantum-Inspired Optimization Process for Data Imputation
Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee +2
Data imputation is a critical preprocessing step, particularly in clinical datasets where missingness can bias downstream inference. We propose a quantum-inspired imputation framew…
Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie
This paper introduces Quantum-SMOTEV2, an advanced variant of the Quantum-SMOTE method, leveraging quantum computing to address class imbalance in machine learning datasets without…
A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie +1
The paper proposes the Quantum-SMOTE method, a novel solution that uses quantum computing techniques to solve the prevalent problem of class imbalance in machine learning datasets.…