From the 1 of 5 linked papers with an AI index.
5 papers
Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
Daniel Grillmeyer, Marius Hadry, Michael Stenger +3
The paper introduces a clustering‑based wrapper method (CSFS) for automatically selecting input variables in wind and solar power forecasting, showing comparable accuracy to standa…
Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
Vanessa Borst, Samuel Kounev
Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision support systems. Over the past decade, numerous architectures speci…
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care
Vanessa Borst, Timo Dittus, Tassilo Dege +2
Chronic wounds affect a large population, particularly the elderly and diabetic patients, who often exhibit limited mobility and co-existing health conditions. Automated wound moni…
WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop
Vanessa Borst, Anna Riedmann, Tassilo Dege +4
The rising prevalence of chronic wounds, especially in aging populations, presents a significant healthcare challenge due to prolonged hospitalizations, elevated costs, and reduced…
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich, Michael Stenger, Daniel Grillmeyer +2
We introduce a temporal feature encoding architecture called Time Series Representation Model (TSRM) for multivariate time series forecasting and imputation. The architecture is st…