Mostrar o rexistro simple do ítem
eRisk 2020: autolesiones y desafíos de la depresión
dc.contributor.author | Losada, David E. | |
dc.contributor.author | Crestani, Fabio | |
dc.contributor.author | Parapar, Javier | |
dc.date.accessioned | 2020-05-18T13:43:22Z | |
dc.date.available | 2020-05-18T13:43:22Z | |
dc.date.issued | 2020-04-08 | |
dc.identifier.citation | Losada D.E., Crestani F., Parapar J. (2020) eRisk 2020: Self-harm and Depression Challenges. In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12036. Springer, Cham. https://doi.org/10.1007/978-3-030-45442-5_72 | es_ES |
dc.identifier.isbn | 9783030454418 | |
dc.identifier.isbn | 9783030454425 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/2183/25590 | |
dc.description.abstract | [Abstract] This paper describes eRisk, the CLEF lab on early risk prediction on the Internet. eRisk started in 2017 as an attempt to set the experimental foundations of early risk detection. Over the last three editions of eRisk (2017, 2018 and 2019), the lab organized a number of early risk detection challenges oriented to the problems of detecting depression, anorexia and self-harm. We review in this paper the main lessons learned from the past and we discuss our future plans for the 2020 edition. | es_ES |
dc.description.sponsorship | We thank the support obtained from the Swiss National Science Foundation (SNSF) under the project “Early risk prediction on the Internet: an evaluation corpus”, 2015. We also thank the financial support obtained from the (i) “Ministerio de Ciencia, Innovación y Universidades” of the Government of Spain (research grants RTI2018-093336-B-C21 and RTI2018-093336-B-C22), (ii) “Consellería de Educación, Universidade e Formación Profesional”, Xunta de Galicia (grants ED431C 2018/29, ED431G/08 and ED431G/01 – “Centro singular de investigación de Galicia” –). All grants were co-funded by the European Regional Development Fund (ERDF/FEDER program) | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2018/29 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/08 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C21/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C22/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS (SUBPROYECTO UDC) | |
dc.relation.uri | https://doi.org/10.1007/978-3-030-45442-5_72 | es_ES |
dc.rights | © Springer Nature Switzerland AG 2020 | |
dc.subject | eRisk | es_ES |
dc.subject | Depression | es_ES |
dc.subject | Anorexia | es_ES |
dc.subject | Self-harm | es_ES |
dc.title | eRisk 2020: autolesiones y desafíos de la depresión | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Lecture Notes in Computer Science | es_ES |
UDC.volume | 12036 | es_ES |
dc.identifier.doi | 10.1007/978-3-030-45442-5_72 | |
UDC.conferenceTitle | 42ª Conferencia Europea sobre Investigación IR, ECIR 2020, Lisboa, Portugal, 14-17 de abril de 2020 | es_ES |