Team

Administrative Assistant

• Email: rebecca.lennartz@fau.de

Modeling Mixed-Type Time Series Data for Machinery Health Prognostics

stress+ – Development and Evaluation of a Web Application for Remote, Internet-based Induction of Acute Psychosocial Stress

Usability Aspects of Pregnancy Applications and Digital Maternity Records

Analysis of the influence of different training data sets on the performance of machine learning models in SMT manufacturing

Benchmarking of Sleep/Wake Detection Algorithms using Wearable Sensors and Machine Learning

Levodopa Response in Parkinson’s Disease Assessed by Sensor-based Continuous Real-World Gait Parameters

Bestimmung von Cognitive Load im autonomen Fahrsimulator durch Biosignalanalyse

Investigating gait kinematics and kinetics at different step frequencies

Developing a surrogate model for a foot-shoe-ground contact model

Design and Implementation of a normal sinus rhythm detection algorithm for improved classification of shockable cardiac rhythms using machine learning

A Compressed Deep Learning Model for Human Activity Recognition (HAR) Using the Hearing Aid Integrated Inertial Sensors

R-Peak Independent Quality Analysis of Wearable ECG Data

Systematic Analysis of the Transformer Architecture for Time Series Prediction Applications

Foot drop quantification in Hereditary Spastic Paraplegia pati- ents

Video-based Re-Identication of captive Polar Bears

Continual Learning in Changing Environments in 5G Positioning

Overcoming Catastrophic Forgetting Using Neural Pruning Via Layer-Wise Relevance Propagation

Machine Learning Methods for Mixed-Type Time Series Analysis

Feature extraction from motion capture data

Detection of gait events using inertial sensors integrated into hearing aids

On the Robustness of Semi-supervised Learning under adverse Data Distributions: The example of Handwriting Classification

AI Trend Detection in Healthcare by applying Topic Clustering and Sentiment Analysis using Podcast Data