IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
GitHub

GitHub - AbhishekDP2244/feature-forge: Intelligent feature engineering and selection for machine learning competitions and projects

FeatureForge automates the tedious process of feature engineering, allowing you to focus on model building and experimentation. Perfect for Kaggle competitions, ML projects, and rapid prototyping.
IEEE

Augmentation of EEG and ECG Time Series for Machine Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates

Abstract: The performance of deep learning methods is dependent on the quality and quantity of the available training data, in particular for physiological time series data which is scarce and noisy.