Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Microsoft deletes blog telling users to train AI on pirated Harry Potter books

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

Comparative Evaluation of Machine Learning Models for Intrusion Detection on the CIC-IDS Dataset

Abstract: The exponential growth of networked systems has heightened the need for solid intrusion detection systems (IDSs) capable of detecting malicious behavior with high confidence. It compares ...
GitHub

Titanic Machine Learning from Disaster Survival Prediction Dataset

Problem Formulation: Treats this as a classification task where the model learns to predict categories/classes based on input features. Model Selection: After evaluating multiple algorithms, XGB was ...