[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"

Source code for the numerical experiments presented in the paper "Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks".

[NeurReps 2024] Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse

study of scene classification with different MLP layer types

In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.

Design of an one hidden layer neural network using numpy only,

Challenge of shallow neural network approximation with one-dimensional input.

Using a shallow neural network in Retinopathy of Prematurity (ROP) image enhancement

A shallow CNN model that is trained on X-ray chest images with preprocessing step of adaptive histogram equalization.

A shallow neural network framework for computing the Tb-Ts relation for neutron star envelopes.

Predict whether a political news is hoax or valid