By 2050, about one third of the French population will be over 65. Our laboratory's current
research focuses on the monitoring of elderly people at home, to detect a loss of autonomy …

This is a book about (machine) learning from (experimental) data. Many books devoted to
this broad field have been published recently. One even feels tempted to begin the previous …

In this paper, a novel cardiac sound spectral analysis method using the normalized
autoregressive power spectral density (NAR-PSD) curve with the support vector machine …

Background Classification studies using gene expression datasets are usually based on
small numbers of samples and tens of thousands of genes. The selection of those genes that …

Despite being an area of cancer with highest worldwide incidence, oral cancer yet remains
to be widely researched. Studies on computer‐aided analysis of pathological slides of oral …

Unraveling complex molecular interactions and networks and incorporating clinical
information in modeling will present a paradigm shift in molecular medicine. Embedding …

The recent explosion in procurement and availability of high-dimensional gene and protein
expression profile data sets for cancer diagnostics has necessitated the development of …

Background The histological grade of pancreatic cancer is an important independent
predictor of outcome. However, we lack a method for safely and accurately obtaining the …

Sentiment analytics, as a computational method to extract emotion and detect polarity, has
gained increasing attention in tourism research. However, issues regarding how to properly …

Traditional gene selection methods for microarray data mainly considered the features'
relevance by evaluating their utility for achieving accurate predication or exploiting data …