{"id":"https://openalex.org/W2963878071","doi":"https://doi.org/10.1007/978-3-319-54184-6_11","title":"Multi-instance dynamic ordinal random fields for weakly-supervised pain intensity estimation","display_name":"Multi-instance dynamic ordinal random fields for weakly-supervised pain intensity estimation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963878071","doi":"https://doi.org/10.1007/978-3-319-54184-6_11","mag":"2963878071"},"language":"en","primary_location":{"id":"pmh:oai:repositori-api.upf.edu:10230/34042","is_oa":false,"landing_page_url":"http://hdl.handle.net/10230/34042","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005880103","display_name":"Adri\u00e0 Ruiz","orcid":"https://orcid.org/0000-0001-7210-1378"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ruiz Ovejero, Adri\u00e0","raw_affiliation_strings":["DTIC, Universitat Pompeu Fabra, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTIC, Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038571306","display_name":"Ognjen Rudovic","orcid":"https://orcid.org/0000-0003-1165-6075"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rudovic, Ognjen","raw_affiliation_strings":["Department of Computing, Imperial College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005841775","display_name":"Xavier Binefa","orcid":"https://orcid.org/0000-0002-4324-9952"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Binefa i Valls, Xavier","raw_affiliation_strings":["DTIC, Universitat Pompeu Fabra, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTIC, Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016033078","display_name":"Maja Panti\u0107","orcid":"https://orcid.org/0000-0002-3620-5986"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pantic, Maja","raw_affiliation_strings":["Department of Computing, Imperial College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.796,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85965807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/ordinal-regression","display_name":"Ordinal regression","score":0.8471568822860718},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.830004096031189},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.677257239818573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5094736218452454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49313634634017944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.460070937871933},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.4406887888908386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3927795886993408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36492544412612915},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35496240854263306}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.8471568822860718},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.830004096031189},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.677257239818573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5094736218452454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49313634634017944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.460070937871933},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.4406887888908386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3927795886993408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36492544412612915},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35496240854263306}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:repositori-api.upf.edu:10230/34042","is_oa":false,"landing_page_url":"http://hdl.handle.net/10230/34042","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8500000238418579,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1506225903","https://openalex.org/W1512656208","https://openalex.org/W1535599202","https://openalex.org/W1590099432","https://openalex.org/W1590183771","https://openalex.org/W1695673519","https://openalex.org/W1876515821","https://openalex.org/W1903399393","https://openalex.org/W1995911388","https://openalex.org/W2010792435","https://openalex.org/W2013556148","https://openalex.org/W2015668089","https://openalex.org/W2058839679","https://openalex.org/W2079914085","https://openalex.org/W2094077339","https://openalex.org/W2098166271","https://openalex.org/W2098615198","https://openalex.org/W2101534792","https://openalex.org/W2101545465","https://openalex.org/W2105353986","https://openalex.org/W2105594594","https://openalex.org/W2106809158","https://openalex.org/W2107153119","https://openalex.org/W2108745803","https://openalex.org/W2109579504","https://openalex.org/W2111303626","https://openalex.org/W2118697091","https://openalex.org/W2133288557","https://openalex.org/W2142575466","https://openalex.org/W2154318594","https://openalex.org/W2157285372","https://openalex.org/W2162685317","https://openalex.org/W2162825184","https://openalex.org/W2166010828","https://openalex.org/W2166087694"],"related_works":["https://openalex.org/W2058716166","https://openalex.org/W2525848170","https://openalex.org/W2023060082","https://openalex.org/W4300104397","https://openalex.org/W4236496007","https://openalex.org/W2050956826","https://openalex.org/W3021328243","https://openalex.org/W2798701209","https://openalex.org/W2237498897","https://openalex.org/W66181126"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2019-07-30T00:00:00"}