Faithfull explanations of video anomaly detection models

Explanation techniques for Visual Transformer architectures

Estimating knee joint loading from wearable sensors

Visualizing and Understanding Semi-Supervised Learning

Embedded Hardware Security

Compare Explainable Artificial Intelligence methods for CNNs and Transformer

Explaining Predictions made by GNNs

Evaluation of Low-Power Strategies for Biomedical Wearable Devices

Explaining Deep Neural Models for Natural Language Processing

Design, Implementation and Evaluation of a Charging Station and Charching Station Network for Electric Vehicles

Location embeddings for patch-based segmentation of Whole-body MRI

MIMO Radar Person Identification

Applied Embedded AI

Federated learning by distillated data

Deep Learning on AR glasses

Explaining Model Decisions with Natural Text

Developing a self-paced treadmill system with motion capture data

Refraction and reflections in computer-generated holography

Routing Optimization

Improved joint angles for markerless motion capture

Estimating knee joint loading from motion capture data

Microcalcifications in 3D breast biopsy micro-CT scans: segmentation and classification at the limits of the resolution

Faithfull explanations of video anomaly detection models

Real-time Acoustic Applications

Investigation of electrical vehicle charging protocols

Visualizing OOD Data

Structure preserving solution methods for non-linear inverse problems

Rust-based cryptographic primitives

Functional upper limb analysis with low cost sensors

Explaining with prototypes and complemental examples

Neural architectures for extreme multi-label text classification

Transient brain dynamics

Evaluate Transfer Learning in Deep Convolutional Neural Networks for 3D Breast Microcalcification Classification

Unbiased automatic quantification of PET amyloid brain imaging

Beamformed Sound Classification

Advanced sensor technology for robotic lawnmowers: Biometric sensing

Neural architectures for joint entity and relation extraction

Phase amplitude coupling in preclinical models of disease

Alternative Protocols and Measuring Techniques for 2.4 GHz LoRa Communication.

Adaptive Scheduling Technique for Time Slotted Channel Hopping

1-Bit Compressive Sensing for Efficient AI

Improved Diagnostics by Assessing the Micromorphology of Breast Calcifications via super-resolution

Simulating the stimulation of the human or rodent brain using novel stimulation paradigms

Design and Evaluation of Software Defined Radio Based Packet Sniffer for IEEE 802.15.4 Communication.

RPL and 6LoWPAN in Rust

Advanced sensor technology for robotic lawnmowers: ROS WiFi teleop design

Investigating the influence of radiomics features in the performance of a Computer Aided Diagnosis system for lung cancer.

How can we explain a prediction of a graph based deep model?

Explainable deep learning for video recognition

Semantic Segmentation of Medical Imaging via Graph Convolutional Networks

Adaptive Scheduling Technique for Time Slotted Channel Hopping

Design of a Multi-Modal IoT System for the IoT

Explainable clinical coding based on knowledge graph information

Image restoration in a grating-based spectrometer

Phased Learning: Boosting the performance of the neural network through importance sampling

Advanced sensor technology for robotic lawn mowers: Terrainability

Embedding Deep Neural Networks for Urban Sound Recognition