MACHINE LEARNING TECHNIQUES BASED ON FEATURE SELECTION FOR IMPROVING AUTISM DISEASE CLASSIFICATION

A Comparative Study for Different Resampling Techniques for Imbalanced datasets

ASSOCIATION RULES BASED CLASSIFICATION FOR AUTISM SPECTRUM DISORDER DETECTION

Improving Life-threatening Lung Diseases Classification using Hybrid SMOTE-ENN with assorted Machine Learning Classifiers

Imbalanced Data Oversampling Technique Based on Convex Combination Method

Enhancing Fraud Detection in Imbalanced Datasets: A Comparative Study of Machine Learning and Deep Learning Algorithms with SMOTE Preprocessing

Grid Search Evaluation of ML Algorithms for Early Disease Detection in Imbalanced Medical Datasets

Computer Vision Techniques for Autism Symptoms Detection and Recognition: A Survey.

STUDYING THE IMPACT OF DATASET BALANCING ON MACHINE LEARNING-BASED INTRUSION DETECTION SYSTEMS FOR IOT

An efficient Hybrid approach for diagnosis High dimensional data for Alzheimer's diseases Using Machine Learning algorithms