{"id":"https://openalex.org/W4313117635","doi":"https://doi.org/10.1109/iscas48785.2022.9937663","title":"Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning","display_name":"Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4313117635","doi":"https://doi.org/10.1109/iscas48785.2022.9937663"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937663","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5071114981","display_name":"Farzin Ghorban","orcid":"https://orcid.org/0000-0002-4071-4126"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Farzin Ghorban","raw_affiliation_strings":["University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085814056","display_name":"Nesreen Hasan","orcid":"https://orcid.org/0000-0003-0454-9183"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nesreen Hasan","raw_affiliation_strings":["University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033355410","display_name":"J\u00f6rg Velten","orcid":"https://orcid.org/0000-0002-4228-3198"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorg Velten","raw_affiliation_strings":["University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080666933","display_name":"Anton Kummert","orcid":"https://orcid.org/0000-0002-0282-5087"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummert","raw_affiliation_strings":["University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Faculty of Electrical, Information and Media Engineering,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071114981"],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33527257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1215","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7938545346260071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988232135772705},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6576895713806152},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5716458559036255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706902742385864},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5703619718551636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5435850024223328},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4750877916812897},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4332825541496277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4247908592224121},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4152943193912506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16344112157821655}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7938545346260071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988232135772705},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6576895713806152},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5716458559036255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706902742385864},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5703619718551636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5435850024223328},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4750877916812897},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4332825541496277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4247908592224121},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4152943193912506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16344112157821655},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937663","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2129068307","https://openalex.org/W2335728318","https://openalex.org/W2619371851","https://openalex.org/W2765407302","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2962369866","https://openalex.org/W2963558289","https://openalex.org/W2964137095","https://openalex.org/W2978426779","https://openalex.org/W2979805229","https://openalex.org/W2990231018","https://openalex.org/W2992308087","https://openalex.org/W3035682985","https://openalex.org/W3086515847","https://openalex.org/W3087896851","https://openalex.org/W3091002423","https://openalex.org/W3116529608","https://openalex.org/W3118608800","https://openalex.org/W3157712107","https://openalex.org/W3209458476","https://openalex.org/W4288020585","https://openalex.org/W4297797517","https://openalex.org/W4323915784","https://openalex.org/W6678975374","https://openalex.org/W6703116779","https://openalex.org/W6733814495","https://openalex.org/W6738597727","https://openalex.org/W6745136726","https://openalex.org/W6762913911","https://openalex.org/W6764051988","https://openalex.org/W6765939562","https://openalex.org/W6770578729","https://openalex.org/W6771558432","https://openalex.org/W6780107181"],"related_works":["https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2013810580","https://openalex.org/W4206276646","https://openalex.org/W2186210338","https://openalex.org/W2168489430","https://openalex.org/W121244246","https://openalex.org/W4312390859"],"abstract_inverted_index":{"In":[0,52],"existing":[1],"semi-supervised":[2],"learning":[3],"(SSL)":[4],"approaches,":[5],"the":[6,15,25,34,39,47,50,62,73,87],"contributions":[7],"of":[8,49,64],"labeled":[9],"and":[10,42,96,99],"unlabeled":[11,35,66],"data":[12],"points":[13],"to":[14,38,90],"training":[16],"objective":[17],"are":[18],"expressed":[19],"as":[20],"two":[21],"separated":[22],"terms":[23],"for":[24],"respective":[26],"sets.":[27],"A":[28],"single":[29],"weight":[30],"specifies":[31],"how":[32],"much":[33],"samples":[36,98],"contribute":[37],"overall":[40],"loss":[41],"is":[43,68],"carefully":[44],"scaled":[45,70],"in":[46,60],"course":[48],"training.":[51],"this":[53],"work,":[54],"we":[55],"propose":[56],"a":[57,77],"SSL":[58],"framework":[59],"which":[61],"contribution":[63],"each":[65],"sample":[67],"individually":[69],"based":[71],"on":[72],"confidence":[74],"generated":[75],"by":[76],"teacher":[78],"model.":[79],"We":[80],"demonstrate":[81],"that":[82],"our":[83],"scaling":[84],"mechanism":[85],"enables":[86],"student":[88],"model":[89],"efficiently":[91],"learn":[92],"from":[93],"heavily":[94],"interpolated":[95],"augmented":[97],"achieve":[100],"state-of-the-art":[101],"performance.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
