{"id":"https://openalex.org/W7138980733","doi":"https://doi.org/10.5220/0014235700004084","title":"High Semantic Features for the Continual Learning of Complex Emotions: A Lightweight Solution","display_name":"High Semantic Features for the Continual Learning of Complex Emotions: A Lightweight Solution","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7138980733","doi":"https://doi.org/10.5220/0014235700004084"},"language":null,"primary_location":{"id":"doi:10.5220/0014235700004084","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0014235700004084","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0014235700004084","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129802104","display_name":"Thibault Geoffroy","orcid":null},"institutions":[{"id":"https://openalex.org/I35298706","display_name":"ESIEA University","ror":"https://ror.org/00g6cx256","country_code":"FR","type":"education","lineage":["https://openalex.org/I35298706"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thibault Geoffroy","raw_affiliation_strings":["EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France"],"affiliations":[{"raw_affiliation_string":"EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France","institution_ids":["https://openalex.org/I35298706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129937301","display_name":"Gauthier Gerspacher","orcid":null},"institutions":[{"id":"https://openalex.org/I35298706","display_name":"ESIEA University","ror":"https://ror.org/00g6cx256","country_code":"FR","type":"education","lineage":["https://openalex.org/I35298706"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gauthier Gerspacher","raw_affiliation_strings":["EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France"],"affiliations":[{"raw_affiliation_string":"EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France","institution_ids":["https://openalex.org/I35298706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129075155","display_name":"Lionel Prevost","orcid":null},"institutions":[{"id":"https://openalex.org/I35298706","display_name":"ESIEA University","ror":"https://ror.org/00g6cx256","country_code":"FR","type":"education","lineage":["https://openalex.org/I35298706"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Prevost","raw_affiliation_strings":["EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France"],"affiliations":[{"raw_affiliation_string":"EsieaLab - LDR, 9 rue V\u00e9sale, 75005 Paris, France","institution_ids":["https://openalex.org/I35298706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5129802104"],"corresponding_institution_ids":["https://openalex.org/I35298706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94295193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5318999886512756,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5318999886512756,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.06159999966621399,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05510000139474869,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.33719998598098755},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.31839999556541443},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.30309998989105225},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2897999882698059},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.2824999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496000289916992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823000133037567},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2768999934196472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0014235700004084","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0014235700004084","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0014235700004084","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0014235700004084","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.48986196517944336}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}
