Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/978-3-662-45523-4_44 (literal)

Alternative label

• De Falco I. (2014)
  Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution
  in EvoStar 2014, Granada, Spain, 23-25 Aprile 2014
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• De Falco I. (literal)

Pagina inizio

• 538 (literal)

Pagina fine

• 549 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/inward/record.url?eid=2-s2.0-84915753503&partnerID=q2rCbXpz (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 8602 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 8602 (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR-CNR, Via P. Castellino 111, Naples, 80131, Italy (literal)

Titolo

• Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution (literal)

Abstract

• In this paper a classifier, designed by taking into account the user-friendliness issue, is described and is used to tackle the problem of classification of potential lesions in Multiple Sclerosis. This tool is based on the idea of making use of Differential Evolution (DE) to extract explicit knowledge from a database under the form of a set of IF-THEN rules, can use this set of rules to carry out the classification task, and can also provide clinicians with this knowledge, thus explaining the motivation for each of the proposed diagnoses. Each DE individual codes for a set of rules. The tool is compared over a database of Multiple Sclerosis potential lesions against a set of nine classification tools widely used in literature. Furthermore, the usefulness and the meaningfulness of the extracted knowledge have been assessed by comparing it against that provided by Multiple Sclerosis experts. No great differences have turned out to exist between these two forms of knowledge. (literal)

Prodotto di

• Metodi e strumenti di Calcolo Evolutivo e loro applicazione a modellazione e ottimizzazione in Sistemi Complessi (ICT.P11.012.001) (Modulo)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• IVANOE DE FALCO (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Metodi e strumenti di Calcolo Evolutivo e loro applicazione a modellazione e ottimizzazione in Sistemi Complessi (ICT.P11.012.001) (Modulo)

Autore CNR di

• IVANOE DE FALCO (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Lecture notes in computer science (Rivista)

Insieme di parole chiave di

• Parole chiave di "Classification of potential multiple sclerosis lesions through automatic knowledge extraction by means of differential evolution" (Insieme di parole chiave)