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

Hardware-based implementations in Side-Channel Analysis: A comparison study of DL SCA attacks against HW and SW AES and a novel methodology

Search by Image: Deep Learning Based Image Visual Feature Extraction

Application and Development of Quantitative Magnetic Resonance Imaging: High-Resolution QMRI in an Elderly Cohort and End-to-End Quantitative Susceptibility Mapping with Deep-Learning