IEEE

Integrating Deep Learning and SHAP for Breast Cancer Classification and Biomarker Discovery Using Gene Expression Data

Abstract: This study explores the application of deep learning models combined with SHAP (SHapley Additive exPlanations) for breast cancer classification using gene expression data. Our model ...
IEEE

Low-shot Image Classification Using Mixture of Experts

Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...
GitHub

text-classification-algorithms

AI-powered Resume Screener using Scikit-learn, featuring text preprocessing, TF-IDF vectorization, and ML models (Logistic Regression, SVM, Random Forest) to classify and rank resumes for automated ...
GitHub

auto-mpg.data.csv

This project is a data analytics and machine learning web application built using Flask, Scikit-learn, and Pandas. It predicts whether a car falls into a High MPG or Low MPG category and also finds ...