Unsupervised Learning for Automatic Classification of Needle Electromyography Signals

Vulnerability prealerting by monitoring the online repositories of open source projects

Design of Artificial Neural Network for predicting the reduction in permeability of porous media as a result of polymer gel injection

No (good) loss no gain: Systematic evaluation of loss functions in deep learning-based side-channel analysis

Can We Empower Attentive E-reading with a Social Robot? An Introductory Study with a Novel Multimodal Dataset and Deep Learning Approaches

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries

Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds

Attack Graph Model for Cyber-Physical Power Systems Using Hybrid Deep Learning

Continuous People Crowd Monitoring defined as a Regression Problem using Radar Networks

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Radar-only Instantaneous Ego-motion Estimation Using Neural Networks

On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples

Modeling ray angles in deep learning based dose calculation algorithms

Analysing visual biases in coral imagery for bleaching detection

Sampling-Based MPC with Learning-Based Trajectory Predictions for Interaction-Aware Motion Planning: Autonomous navigation in urban canals

A deep learning approach to (semi-) automatically track bone movement in ultrasound images of patients with a unilateral transtibial prosthesis

Groupwise registration for longitudinal MRI analysis of glioma based on deep learning

Understanding weight-magnitude hyperparameters in training binary networks

Non-destructive Infield Quality Estimation of Strawberries using Deep Architectures

Surface-related multiple estimation and removal with focus on shallow water