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V. Sidharrth

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Conference Aug 2026

Hybrid Quantum-Classical Classification of Malaria Cell Images Using Transfer Learning

Classifying malaria cell images relies on examining blood-smear microscopy slides to separate healthy red blood cells from those carrying the parasite to recognize the stage of infection. Manually examining the cells under a microscope is slow, as it depends heavily on expert skill, and can lead to inconsistent results...

V. Sidharrth, Paruchuri Sai, B. G. Rajath Siddarth et al. · 0 citations
Open access Jul 2026

Uncertainty-aware music genre classification using evidential deep learning

An uncertainty quantification by Dirichlet based evidence modeling with hybrid convolutional neural network-long short term memory network (CNN-LSTM) where the incorrect predictions have been penalized via Kullback-Leibler (KL) divergence is proposed.

V. Sidharrth, Jayan Sarada, Bilal Alataş · 0 citations

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