Classifying Human Pilot Skill Level Using Deep Artificial Neural Networks

A hybrid approach to implement the Digital Twin concept into a damage evolution prediction for composite structures

Artificial intelligence in breast-specific gamma imaging: Exploring the possibilities of automation of breast cancer detection and classification

Semi-Supervised Learning In Side-Channel Attacks

Complex-Valued Neural Networks for Radar-based Human-Motion Classification

Classifying Human Manual Control Behavior in Tracking Tasks with Various Display types Using the InceptionTime CNN

Accelerating finite element analysis using machine learning

Stereo Matching for Martian Surface Depth Estimation on a Single-Board Computer

Recurrent Inference Machines for accelerated MRI acquisition trained using simulated undersampled k-space data

Using Retinanet to determine local graspability for a suction actuator

Deep Just-in-Time Defect Prediction at Adyen

Voxelwise rs-fMRI representation learning: A non-linear variational approach

Nowcasting heavy precipitation in the Netherlands: a deep learning approach

Evaluating the Robustness of the Recurrent Inference Machine Based on MRI Lesion Data from Multiple Sclerosis Patients

Go Deep or Go Home?

HaarCNN: Detection and Recognition of Comic Strip Characters with Deep Learning and Cascade Classifiers

Evaluation of Video Summarization using DSNet and Action Localization Datasets

Detecting Rhyming Words

Image Search Engine for Digital History: A deep learning approach

The Relation Between Words and Definitions in Combined Word-Sentence Space