Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

A selective muscle fatigue management approach to ergonomic human-robot co-manipulation

Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study

Comparing thresholding with machine learning classifiers for mapping complex water

A neural network-based framework for financial model calibration

A Systematic Evaluation of Profiling Through Focused Feature Selection

Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel

Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

Using Gaussian mixture models for gesture recognition during haptically guided telemanipulation

Designing and prototyping from the perspective of AI in the wild

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

Automatic Processing of User-Generated Content for the Description of Energy-Consuming Activities at Individual and Group Level

Conformal automation for air traffic control using convolutional neural networks

Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

On domain-adaptive machine learning

Exploring the role of system operation modes in failure analysis in the context of first generation cyber-physical systems

Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks

Unsupervised approach to bunching swings phenomenon analysis

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation