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Web tool based on machine learning for the early diagnosis of asd through the analysis of the subject's gaze

dc.contributor.authorVecino García, Sara 
dc.contributor.authorGonzález Rodríguez, Bernardo Martín 
dc.contributor.authorAndrés Suárez, Javier 
dc.contributor.authorFernández Lanvin, Daniel 
dc.date.accessioned2023-02-01T11:50:30Z
dc.date.available2023-02-01T11:50:30Z
dc.date.issued2021
dc.identifier.citationProceedings of The 17Th International Conference on Web Information Systems and Technologies (Webist), p. 167-173 (2021); doi:10.5220/0010715800003058
dc.identifier.isbn978-989-758-536-4
dc.identifier.urihttp://hdl.handle.net/10651/65934
dc.descriptionInternational Conference on Web Information Systems and Technologies (WEBIST) ELECTR NETWORK (17th. 2021)
dc.description.sponsorshipDepartment of Science, Innovation and Universities (Spain) under the National Program for Research, Development and Innovation [RTI2018-099235-B-I00]; Fundacion Trapote (Ayuntamiento de Gijon)
dc.format.extentp. 167-173
dc.language.isoeng
dc.relation.ispartofProceedings of The 17Th International Conference on Web Information Systems and Technologies (Webist)
dc.rights©,
dc.sourceWOS:000795868100015
dc.titleWeb tool based on machine learning for the early diagnosis of asd through the analysis of the subject's gaze
dc.typeconference outputspa
dc.identifier.doi10.5220/0010715800003058
dc.relation.publisherversionhttp://dx.doi.org/10.5220/0010715800003058


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