A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements

Blind separation of rotating machine sources: bilinear forms and convolutive mixtures

The use of context in dynamic pattern recognition applications.

Automatic fault detection in rotating equipment with neural networks.

MONISOM - a system for machine health monitoring with neural networks.

Learning methods for machine vibration analysis and health monitoring

Blind separation of machine vibration with bilinear forms.

Health monitoring with learning methods.

The Role of Subclasses in Machine Diagnostics.

Blind separation of machine vibration with bilinear forms

Pump failure detection using support vector data descriptions

Analysis and improvement of a neural network based system for gas leak detection

Robust machine fault detection with Independent Component Analysis and Support Vector Data Description

Support vector data description applied to machine vibration analysis

Creating virtual sensors for machine monitoring with Independent Component Analysis

Methods for blind source separation applied to airport noise surveillance

Rotating machine vibration analysis with second order independent component analysis

Support objects for domain approximation

A neural network base system for gas leak detecton with hydrophone measurements

Domain approximation for condition monitoring