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Author

Sunil Kumar Pradhan

2 papers indexed here

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Open access Sep 2026

Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction

Machine learning is increasingly used in Electronic Design Automation (EDA) to predict circuit performance, but the reliability of these models can be compromised by features whose correlation with the target largely reflects the target’s own definition rather than genuine, generalizable structure. This study investiga...

A. Kashyap, Souhardya Ghosh, Sarmad Sultan et al. · 0 citations
Open access Sep 2026

A hybrid classical-quantum approach for medical image classification

The results show that there is a statistically significant improvement in classification accuracy and F1-score of the hybrid approach over the classical transfer learning baselines under a simulation-based environment, which sets the stage for further research on real-world physical quantum hardware.

T. Pandey, Shrishti Singh, Smriti Verma et al. · 0 citations

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