Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

A research team reveals that soils surrounding intensive livestock farms can become hotspots for antibiotic resistance genes ...

Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...

Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...

Introduction Population level screen and treat approach for anaemia reduction could be beneficial but its feasibility and ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Several measurement techniques used in the life sciences gather data for many more variables per sample than the typical number of samples assayed. For instance, DNA microarrays and mass spectrometers ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...