{"id":"https://openalex.org/W4310807284","doi":"https://doi.org/10.1109/icpr56361.2022.9956319","title":"CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition","display_name":"CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4310807284","doi":"https://doi.org/10.1109/icpr56361.2022.9956319"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956319","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5052284282","display_name":"Ines Rieger","orcid":"https://orcid.org/0000-0002-8694-762X"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ines Rieger","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS,Fraunhofer IIS,Erlangen","Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen","Cognitive Systems Group, University of Bamberg"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS,Fraunhofer IIS,Erlangen","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Cognitive Systems Group, University of Bamberg","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014586760","display_name":"Jaspar Pahl","orcid":null},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]},{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jaspar Pahl","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS,Fraunhofer IIS,Erlangen","Cognitive Systems Group, University of Bamberg","Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS,Fraunhofer IIS,Erlangen","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Cognitive Systems Group, University of Bamberg","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015022184","display_name":"Bettina Finzel","orcid":"https://orcid.org/0000-0002-9415-6254"},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bettina Finzel","raw_affiliation_strings":["University of Bamberg,Cognitive Systems Group","Cognitive Systems Group, University of Bamberg"],"affiliations":[{"raw_affiliation_string":"University of Bamberg,Cognitive Systems Group","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Cognitive Systems Group, University of Bamberg","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027156356","display_name":"Ute Schmid","orcid":"https://orcid.org/0000-0002-1301-0326"},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ute Schmid","raw_affiliation_strings":["University of Bamberg,Cognitive Systems Group","Cognitive Systems Group, University of Bamberg"],"affiliations":[{"raw_affiliation_string":"University of Bamberg,Cognitive Systems Group","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Cognitive Systems Group, University of Bamberg","institution_ids":["https://openalex.org/I94626330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052284282"],"corresponding_institution_ids":["https://openalex.org/I4210124274","https://openalex.org/I94626330"],"apc_list":null,"apc_paid":null,"fwci":0.8295,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74803922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"798","last_page":"804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T11448","display_name":"Face recognition and analysis","score":0.9988999962806702,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/overfitting","display_name":"Overfitting","score":0.8961825370788574},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.890984058380127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569224834442139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.647301971912384},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6393821239471436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6154806613922119},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.6052849292755127},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.5434638857841492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5219482779502869},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.521346926689148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41965770721435547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10668835043907166},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06545019149780273},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06294688582420349}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8961825370788574},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.890984058380127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569224834442139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.647301971912384},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6393821239471436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154806613922119},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.6052849292755127},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.5434638857841492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5219482779502869},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.521346926689148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41965770721435547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10668835043907166},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06545019149780273},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06294688582420349},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956319","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:null:publica/445990","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/445990","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1940404584","https://openalex.org/W1980331490","https://openalex.org/W2018727909","https://openalex.org/W2051297709","https://openalex.org/W2095705004","https://openalex.org/W2103943262","https://openalex.org/W2108598243","https://openalex.org/W2116341502","https://openalex.org/W2125127226","https://openalex.org/W2436394355","https://openalex.org/W2655404332","https://openalex.org/W2734289922","https://openalex.org/W2901836079","https://openalex.org/W2903991757","https://openalex.org/W2913159621","https://openalex.org/W2953843303","https://openalex.org/W2957289502","https://openalex.org/W2964007075","https://openalex.org/W2995161417","https://openalex.org/W3006087551","https://openalex.org/W3011082639","https://openalex.org/W3011227460","https://openalex.org/W3018972277","https://openalex.org/W3027402057","https://openalex.org/W3042933724","https://openalex.org/W3085955563","https://openalex.org/W3105536522","https://openalex.org/W3115865297","https://openalex.org/W3129106177","https://openalex.org/W3160306203","https://openalex.org/W3174724419","https://openalex.org/W3202108985","https://openalex.org/W3207470137","https://openalex.org/W4288102735","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6756778981","https://openalex.org/W6769650007","https://openalex.org/W6775911408","https://openalex.org/W6778155345","https://openalex.org/W6780704567","https://openalex.org/W6785908105","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W2008630378","https://openalex.org/W4378510483","https://openalex.org/W4220972140","https://openalex.org/W3161120485","https://openalex.org/W2022843255"],"abstract_inverted_index":{"Neural":[0],"networks":[1,37,92],"are":[2],"widely":[3],"adopted,":[4],"yet":[5],"the":[6,28,33,42,84],"integration":[7],"of":[8,35,60,66,86],"domain":[9,18],"knowledge":[10,19],"is":[11],"still":[12],"underutilized.":[13],"We":[14,68,81],"propose":[15],"to":[16,31,46,56,93],"integrate":[17],"about":[20],"co-occurring":[21],"facial":[22,95],"movements":[23],"as":[24],"a":[25,57,63],"constraint":[26],"in":[27,75],"loss":[29],"function":[30],"enhance":[32],"training":[34],"neural":[36,91],"for":[38,78,89],"affect":[39],"recognition.":[40],"As":[41],"co-ccurrence":[43],"patterns":[44],"tend":[45],"be":[47],"similar":[48],"across":[49],"datasets,":[50],"applying":[51],"our":[52,87],"method":[53,88],"can":[54],"lead":[55],"higher":[58],"generalizability":[59],"models":[61],"and":[62],"lower":[64],"risk":[65],"overfitting.":[67],"demonstrate":[69],"this":[70],"by":[71],"showing":[72],"performance":[73],"increases":[74],"cross-dataset":[76],"testing":[77],"various":[79],"datasets.":[80],"also":[82],"show":[83],"applicability":[85],"calibrating":[90],"different":[94],"expressions.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
