{"id":"https://openalex.org/W4404085244","doi":"https://doi.org/10.1007/s00530-024-01537-z","title":"Collaborative multi-knowledge distillation under the influence of softmax regression representation","display_name":"Collaborative multi-knowledge distillation under the influence of softmax regression representation","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404085244","doi":"https://doi.org/10.1007/s00530-024-01537-z"},"language":"en","primary_location":{"id":"doi:10.1007/s00530-024-01537-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-024-01537-z","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-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/A5103242236","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0002-5515-6139"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110331726","display_name":"Kangping Chen","orcid":"https://orcid.org/0009-0001-8765-2778"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangping Chen","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000231514","display_name":"Zhaobin Chang","orcid":"https://orcid.org/0000-0002-1574-979X"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaobin Chang","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065445833","display_name":"Dailin Huang","orcid":"https://orcid.org/0000-0003-0750-137X"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dailin Huang","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110331726"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":null,"apc_paid":null,"fwci":0.2569,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5564705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"30","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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/T12676","display_name":"Machine Learning and ELM","score":0.996399998664856,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944999814033508,"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/softmax-function","display_name":"Softmax function","score":0.8117514848709106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709675669670105},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6282339096069336},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5928611159324646},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5818331241607666},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5167917013168335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48683232069015503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48492127656936646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35724928975105286},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.321940541267395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23756730556488037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18683981895446777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14383062720298767},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09144958853721619},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07806229591369629}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8117514848709106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709675669670105},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6282339096069336},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5928611159324646},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5818331241607666},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5167917013168335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48683232069015503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48492127656936646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35724928975105286},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.321940541267395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23756730556488037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18683981895446777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14383062720298767},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09144958853721619},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07806229591369629},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00530-024-01537-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-024-01537-z","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2904378456","https://openalex.org/W2954137266","https://openalex.org/W2963140444","https://openalex.org/W2982157312","https://openalex.org/W2982242214","https://openalex.org/W3015735225","https://openalex.org/W3034223443","https://openalex.org/W3034368386","https://openalex.org/W3034695001","https://openalex.org/W3108075360","https://openalex.org/W3118608800","https://openalex.org/W3127215335","https://openalex.org/W3138154797","https://openalex.org/W3174102142","https://openalex.org/W3177196641","https://openalex.org/W4214535608","https://openalex.org/W4221061906","https://openalex.org/W4226426325","https://openalex.org/W4281489207","https://openalex.org/W4312238419","https://openalex.org/W4312293368","https://openalex.org/W4312309807","https://openalex.org/W4312929415","https://openalex.org/W4319300833","https://openalex.org/W4376872192","https://openalex.org/W4382458595","https://openalex.org/W4384339045","https://openalex.org/W4385453417","https://openalex.org/W4386065360","https://openalex.org/W4386072392","https://openalex.org/W4389076400","https://openalex.org/W4392343478","https://openalex.org/W4404970806","https://openalex.org/W6600829110","https://openalex.org/W6601865935"],"related_works":["https://openalex.org/W4318239405","https://openalex.org/W4362602249","https://openalex.org/W3155369511","https://openalex.org/W3004997939","https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}
