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dc.contributor.author	Bonilla Escribano, Pablo
dc.contributor.author	Ramírez García, David
dc.contributor.author	Sedano-Capdevila, Alba
dc.contributor.author	Campaña-Montes, Juan José
dc.contributor.author	Baca García, Enrique
dc.contributor.author	Courtet, Philipe
dc.contributor.author	Artés Rodríguez, Antonio
dc.date.accessioned	2020-11-25T10:28:04Z
dc.date.available	2020-11-25T10:28:04Z
dc.date.issued	2019-05-23
dc.identifier.bibliographicCitation	P. Bonilla-Escribano et al., "Assessment of e-Social Activity in Psychiatric Patients," in IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 6, pp. 2247-2256, Nov. 2019
dc.identifier.issn	2168-2194
dc.identifier.uri	http://hdl.handle.net/10016/31474
dc.description.sponsorship	This work was supportedin part by MINECO under Projects aMBITION (TEC2017-92552-EXP)and CLARA (RTI2018-099655-BI00), in part by MINECO jointly with ECunder Projects ADVENTURE (TEC2015-69868-C2-1-R) and CAIMAN(TEC2017-86921-C2-2-R), in part by the Comunidad de Madrid underProjects PRACTICO-CM (Y2018/TCS-4705) and IND2017/TIC-7618, Instituto de Salud Carlos III (PI16/01852), Delegaci ́on del Gobierno parael Plan Nacional de Drogas (20151073), and AFSP (LSRG-1-005-16).The work of P. Bonilla-Escribano was supported by a PIPF UC3M Scholarship.
dc.language.iso	eng
dc.publisher	IEEE
dc.rights	© IEEE 2019
dc.subject.other	E-social activity
dc.subject.other	Expectation-maximization (EM) algorithm
dc.subject.other	Maximum likelihood (Ml)
dc.subject.other	Mixture model
dc.subject.other	Point processes
dc.title	Assessment of e-social activity in psychiatric patients
dc.type	article
dc.subject.eciencia	Telecomunicaciones
dc.identifier.doi	https://doi.org/10.1109/JBHI.2019.2918687
dc.rights.accessRights	openAccess
dc.relation.projectID	Gobierno de España. TEC2017-92552-EXP
dc.relation.projectID	Gobierno de España. RTI2018-099655-BI00
dc.relation.projectID	Gobierno de España. EC2015-69868-C2-1-R
dc.relation.projectID	Gobierno de España. TEC2017-86921-C2-2-R
dc.relation.projectID	Comunidad de Madrid. Y2018/TCS-4705
dc.relation.projectID	Comunidad de Madrid. IND2017/TIC-7618
dc.type.version	acceptedVersion
dc.identifier.publicationfirstpage	2247
dc.identifier.publicationissue	6
dc.identifier.publicationlastpage	2256
dc.identifier.publicationtitle	IEEE Journal of Biomedical and Health Informatics
dc.identifier.publicationvolume	23
dc.identifier.uxxi	AR/0000024444
dc.contributor.funder	Ministerio de Economía y Competitividad (España)
dc.contributor.funder	Comunidad de Madrid
dc.affiliation.dpto	UC3M. Departamento de Teoría de la Señal y Comunicaciones
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)

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