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

Relevance Detection of Unknown Classes through Cluster Distances: Based on Statistical Distance Measures in Feature Space

Enriching Diversity of Synthetic Images for Person Detection

A trainable activation scheme for applying Neural Radiance Fields in novel view synthesis tasks

An iterative deep reinforcement learning approach to solve vehicle routing problems

Deep learning-based design model for suction caisson foundation in clay

Automated monitoring of corrosion on piling sheets: a model test to understand the possibilities for asset managers

The effect of recurrence on adversarial robustness

Deep learning based motion prediction algorithms for autonomous driving

Champagne Taste on a Beer Budget: Better Budget Utilisation in Multi-label Adversarial Attacks

Point Transformer-Based Human Activity Recognition using high-dimensional Radar Point Clouds

High-Throughput Quality Inspection of Solar Cells Using Deep Learning Under Consideration of Its Sustainability Impact

BladeSynth: Damage Detection and Assessment in Aircraft Engines with Synthetic Data

DMQL: Deep Maximum Q-Learning: Combatting Relative Overgeneralisation in Deep Independent Learners using Optimism and Similarity

Methodologies for deep learning SCA: An analysis on the design and construction of convolutional neural networks for side-channel datasets

Deep Statistical Solver for Distribution System State Estimation