{"id":"https://openalex.org/W2949726636","doi":"https://doi.org/10.1109/access.2019.2922385","title":"Adaptive Safe Semi-Supervised Extreme Machine Learning","display_name":"Adaptive Safe Semi-Supervised Extreme Machine Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949726636","doi":"https://doi.org/10.1109/access.2019.2922385","mag":"2949726636"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2922385","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2922385","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08735863.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08735863.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071376438","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0002-5263-1870"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Ma","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008708998","display_name":"Chao Yuan","orcid":"https://orcid.org/0000-0001-6044-2925"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yuan","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071376438"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1561,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84143015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"76176","last_page":"76184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":0.9965999722480774,"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/T10773","display_name":"Extracellular vesicles in disease","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.7996492385864258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6940216422080994},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.676243782043457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6151056885719299},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5807772278785706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5562387704849243},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5412366986274719},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5305493474006653},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5289635062217712},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4492642879486084},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43302568793296814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4195820093154907},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4035627245903015},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15572121739387512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10292863845825195},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.07126688957214355}],"concepts":[{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.7996492385864258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940216422080994},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.676243782043457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6151056885719299},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5807772278785706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562387704849243},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5412366986274719},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5305493474006653},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5289635062217712},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4492642879486084},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43302568793296814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4195820093154907},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4035627245903015},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15572121739387512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10292863845825195},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.07126688957214355},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2922385","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2922385","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08735863.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:75186f8ee2ee4811a4c92de49c2868f0","is_oa":true,"landing_page_url":"https://doaj.org/article/75186f8ee2ee4811a4c92de49c2868f0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 76176-76184 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2922385","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2922385","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08735863.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1105861234","display_name":null,"funder_award_id":"1471010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334997","display_name":"Chinese Universities Scientific Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949726636.pdf","grobid_xml":"https://content.openalex.org/works/W2949726636.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1490414702","https://openalex.org/W1546148720","https://openalex.org/W1879103928","https://openalex.org/W1902027874","https://openalex.org/W1967825168","https://openalex.org/W1968105414","https://openalex.org/W1981831454","https://openalex.org/W1992837555","https://openalex.org/W2006676204","https://openalex.org/W2026131661","https://openalex.org/W2042184006","https://openalex.org/W2049633694","https://openalex.org/W2050754297","https://openalex.org/W2056828165","https://openalex.org/W2089053726","https://openalex.org/W2097703723","https://openalex.org/W2111072639","https://openalex.org/W2121971770","https://openalex.org/W2127499922","https://openalex.org/W2132146097","https://openalex.org/W2136504847","https://openalex.org/W2145305100","https://openalex.org/W2145376937","https://openalex.org/W2145725490","https://openalex.org/W2157595416","https://openalex.org/W2183800414","https://openalex.org/W2271357838","https://openalex.org/W2346421499","https://openalex.org/W2368520314","https://openalex.org/W2752352959","https://openalex.org/W2773903545","https://openalex.org/W2779077044","https://openalex.org/W2784620354","https://openalex.org/W2800675387","https://openalex.org/W2890608797","https://openalex.org/W2997701990","https://openalex.org/W4302332486","https://openalex.org/W6628746421","https://openalex.org/W6632790332","https://openalex.org/W6655119280","https://openalex.org/W6675747103","https://openalex.org/W6679392215","https://openalex.org/W6680140577","https://openalex.org/W6694050938"],"related_works":["https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W65619410","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2149544245","https://openalex.org/W3109610583","https://openalex.org/W2153107493"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,11,56,77,119,150],"(SSL)":[2],"based":[3,138],"on":[4,20,139,155],"manifold":[5,24,38,85,100],"regularization":[6],"(MR)":[7],"is":[8,144,167],"an":[9],"excellent":[10],"framework.":[12,79],"However,":[13],"the":[14,21,27,35,54,62,67,90,97,108,118,140,163],"performance":[15,164],"of":[16,23,30,37,43,93,99,111,165],"SSL":[17],"heavily":[18],"depends":[19],"construction":[22,36],"graph":[25,39,86,101],"and":[26,40,51,102,131,158,169],"safety":[28,41,91,109],"degrees":[29,42,92,110],"unlabeled":[31,44,94,112],"samples.":[32,95],"Due":[33],"to":[34,172],"samples":[45,113],"are":[46],"usually":[47],"pre-construct":[48],"before":[49],"classification":[50,55,136],"fixed":[52],"during":[53,117],"process,":[57],"which":[58,143],"results":[59,154],"independent":[60],"with":[61],"subsequent":[63],"classification.":[64],"Aiming":[65],"at":[66],"above":[68],"problems,":[69],"we":[70,128],"propose":[71],"a":[72,84,133],"unified":[73],"adaptive":[74,134,146],"safe":[75,135,147],"semi-supervised":[76,148],"(Adap-SaSSL)":[78],"This":[80],"framework":[81],"adaptively":[82,88],"constructs":[83],"while":[87],"calculating":[89],"Specifically,":[96],"weights":[98],"its":[103],"parameters,":[104],"as":[105,107],"well":[106],"will":[114],"be":[115],"optimized":[116],"process":[120],"rather":[121],"than":[122],"being":[123],"calculated":[124],"in":[125],"advance.":[126],"Finally,":[127],"then":[129],"develop":[130],"implement":[132],"method":[137],"Adap-SaSSL":[141],"framework,":[142],"called":[145],"extreme":[149],"machine":[151],"(AdSafe-SSELM).":[152],"Experimental":[153],"artificial,":[156],"benchmark":[157],"image":[159],"datasets":[160],"show":[161],"that":[162],"AdSafe-SSELM":[166],"effective":[168],"reliable":[170],"compared":[171],"other":[173],"algorithms.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
