Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-class versus One-class classifier in spontaneous speech analysis
  oriented to Alzheimer Disease diagnosis   Most of medical developments require the ability to identify samples that are
anomalous with respect to a target group or control group, in the sense they
could belong to a new, previously unseen class or are not class data. In this
case when there are not enough data to train two-class One-class classification
appear like an available solution. On the other hand non-linear approaches
could give very useful information. The aim of our project is to contribute to
earlier diagnosis of AD and better estimates of its severity by using automatic
analysis performed through new biomarkers extracted from speech signal. The
methods selected in this case are speech biomarkers oriented to Spontaneous
Speech and Emotional Response Analysis. In this approach One-class classifiers
and two-class classifiers are analyzed. The use of information about outlier
and Fractal Dimension features improves the system performance.

12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
2
The categories of this paper are: math