56 citations · 62 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023
Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector
Minati Rath, Hema Date
In many real-world datasets, rows may have distinct characteristics and require different modeling approaches for accurate predictions. In this paper, we propose an adaptive modeli…
quant-ph2023★ 5 cited
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy
Minati Rath, Hema Date
This research explores the integration of quantum data embedding techniques into classical machine learning (ML) algorithms, aiming to assess the performance enhancements and compu…
quant-ph2023
Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing
Minati Rath, Hema Date
Machine Learning (ML) models are trained using historical data to classify new, unseen data. However, traditional computing resources often struggle to handle the immense amount of…