Author

S. Banshal

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#machine learning Preprint Sep 2026

Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes

To train handwritten text recognition systems we need word images and their corresponding transcriptions, and these transcriptions are produced manually. For a script that can be read by only a small number of specialists, this manual transcription is a limitation, because the trained models are supposed to save the ti...

Manglesh Kumar Pandey, S. Banshal · 0 citations

Preprint Aug 2026

EMFE: A lightweight, explainable machine learning framework for malaria cell classification

EMFE (Efficient Mathematical Feature Extraction), a five-feature framework for classifying single red-blood-cell images as parasitized or uninfected using Gray World color normalization, adaptive green-channel thresholding, morphological spot detection, and classical machine learning, is presented.

M. A. Al Kafi, Walayat Hussain, Mousumi Karmakar et al. · 0 citations