This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …

Sophisticated information technologies are needed for effective data acquisition and integration
from a growing body of the biomedical literature. Successful term identification is key to …

Background: Clinical narratives represent the main form of communication within health care,
providing a personalized account of patient history and assessments, and offering rich …

We describe an implementation of simple, multiple and joint correspondence analysis in R.
The resulting package comprises two parts, one for simple correspondence analysis and one …

The Taverna workflow tool suite ( http://www.taverna.org.uk ) is designed to combine distributed
Web Services and/or local tools into complex analysis pipelines. These pipelines can be …

Copy number variants (CNVs) have been strongly implicated in the genetic etiology of
schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has …

This paper combines wavelet transforms with basic detection theory to develop a new
unsupervised method for robustly detecting and localizing spikes in noisy neural recordings. The …

Background The task of recognizing and identifying species names in biomedical literature
has recently been regarded as critical for a number of applications in text and data mining, …

Background Schizophrenia is a highly heritable, neuropsychiatric disorder characterized by
episodic psychosis and altered cognitive function. Despite success in identifying genetic …

Auditory hallucinations are a frequent symptom in schizophrenia. While functional imaging
studies have suggested the association of certain patterns of brain activity with sub-…