Accelerating finite element analysis using machine learning

Prognostics and health management of safety relevant electronics for autonomous driving

Privacy Threats and Cryptographic Solutions to Genome Data Processing

Using machine learning to predict concrete’s strength: Learning from small datasets

Automatic Design of Verifiable Robot Swarms

What does that gene do?: Gene function prediction by machine learning with applications to plants

Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching

The Stumblemeter: Design and Validation of a System That Detects and Classifies Stumbles during Gait

A Machine learning approach for rapid disaster response based on multi- modal data: The case of housing & shelter needs

“Measuring the Mix” of Policy Responses to COVID-19: Comparative Policy Analysis Using Topic Modelling

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science

Machine-learning-based data recovery and its contribution to seismic acquisition: Simultaneous application of deblending, trace reconstruction, and low-frequency extrapolation

Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem

Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning

First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt

Emerging Techniques in Cardiac Magnetic Resonance Imaging

Machine Learning to Improve Orientation Estimation in Sports Situations Challenging for Inertial Sensor Use

Fast and robust scheme for uncertainty quantification in naturally fractured reservoirs

Short- And long-term predictions of chaotic flows and extreme events: A physics-constrained reservoir computing approach

Roadmap on signal processing for next generation measurement systems