Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ...
IEEE

Long-Term Multivariate Forecasting of Quality Variables in Industrial Production Processes Based on a Hybrid Deep Learning Framework and Novel Flexible Sensor

Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...
IEEE

MPDA: Multivariate Probability Distribution Autoencoder for Hyperspectral Anomaly Detection

Abstract: In recent years, the significant success of deep learning (DL) in computer vision has contributed to its continuous development in the field of hyperspectral image (HSI) anomaly detection ...
The Earth Institute Columbia University

Melanie M. Wall

My work has focused on biostatistical methodology and its applied translation to research in mental health, substance use, obesity, and health services, policy, and equity. I have worked extensively ...