{"id":"https://openalex.org/W4205703550","doi":"https://doi.org/10.1007/s13042-021-01481-8","title":"A safe acceleration method for multi-task twin support vector machine","display_name":"A safe acceleration method for multi-task twin support vector machine","publication_year":2022,"publication_date":"2022-01-15","ids":{"openalex":"https://openalex.org/W4205703550","doi":"https://doi.org/10.1007/s13042-021-01481-8"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-021-01481-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-021-01481-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","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/A5100947342","display_name":"Fan Xie","orcid":null},"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":"Fan Xie","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005702106","display_name":"Yitian Xu","orcid":"https://orcid.org/0000-0001-7577-4420"},"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":"Yitian Xu","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-7577-4420","affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091553303","display_name":"Mengdan Ma","orcid":null},"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":"Mengdan Ma","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024307137","display_name":"Xinying Pang","orcid":"https://orcid.org/0000-0003-3642-9776"},"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":"Xinying Pang","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005702106"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.6939,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7398392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"13","issue":"6","first_page":"1713","last_page":"1728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9958999752998352,"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/T10057","display_name":"Face and Expression Recognition","score":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7770955562591553},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6987251043319702},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6114823222160339},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5984485149383545},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5861985683441162},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5629319548606873},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5430111885070801},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4920575022697449},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.44634294509887695},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4405202865600586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4165627658367157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40923649072647095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37952572107315063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34269246459007263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7770955562591553},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6987251043319702},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6114823222160339},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5984485149383545},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5861985683441162},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5629319548606873},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5430111885070801},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4920575022697449},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.44634294509887695},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4405202865600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4165627658367157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40923649072647095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37952572107315063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34269246459007263},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-021-01481-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-021-01481-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5960298989","display_name":null,"funder_award_id":"4172035","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8063082150","display_name":"\u57fa\u4e8eSafe screening\u7684\u591a\u4efb\u52a1\u7a00\u758f\u5b66\u4e60\u7406\u8bba\u4e0e\u7b97\u6cd5\u7684\u7814\u7a76","funder_award_id":"12071475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G918183249","display_name":null,"funder_award_id":"11671010","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W140273596","https://openalex.org/W611401390","https://openalex.org/W641467550","https://openalex.org/W1488505114","https://openalex.org/W1807968014","https://openalex.org/W1966665485","https://openalex.org/W1983766926","https://openalex.org/W2019184604","https://openalex.org/W2026563727","https://openalex.org/W2027134814","https://openalex.org/W2039741433","https://openalex.org/W2080917896","https://openalex.org/W2115733720","https://openalex.org/W2143104527","https://openalex.org/W2147505890","https://openalex.org/W2170860445","https://openalex.org/W2291000060","https://openalex.org/W2605475006","https://openalex.org/W2610063485","https://openalex.org/W2770769412","https://openalex.org/W2804758133","https://openalex.org/W2897991958","https://openalex.org/W2912714424","https://openalex.org/W2913340405","https://openalex.org/W2940511651","https://openalex.org/W2948951178","https://openalex.org/W2990547902","https://openalex.org/W3042895497","https://openalex.org/W6600195515"],"related_works":["https://openalex.org/W2117229703","https://openalex.org/W3120756218","https://openalex.org/W2395088808","https://openalex.org/W2139276415","https://openalex.org/W2186864281","https://openalex.org/W2187599770","https://openalex.org/W2022712430","https://openalex.org/W4255427455","https://openalex.org/W3152506997","https://openalex.org/W2953178323"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
