4 papers
AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization
Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4
As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system…
Evaluating Large Language Models for Gait Classification Using Text-Encoded Kinematic Waveforms
Carlo Dindorf, Jonas Dully, Rebecca Keilhauer +2
Background: Machine learning (ML) enhances gait analysis but often lacks the level of interpretability desired for clinical adoption. Large Language Models (LLMs) may offer explana…
Outlier Detection in Plantar Pressure: Human-Centered Comparison of Statistical Parametric Mapping and Explainable Machine Learning
Carlo Dindorf, Jonas Dully, Steven Simon +7
Plantar pressure mapping is essential in clinical diagnostics and sports science, yet large heterogeneous datasets often contain outliers from technical errors or procedural incons…
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje SlijepÄeviÄ +5
This chapter provides an overview of recent and promising Machine Learning applications, i.e. pose estimation, feature estimation, event detection, data exploration & clustering, a…