{"id":"https://openalex.org/W4303649455","doi":"https://doi.org/10.1007/s00521-022-07882-2","title":"A non-convex robust small sphere and large margin support vector machine for imbalanced data classification","display_name":"A non-convex robust small sphere and large margin support vector machine for imbalanced data classification","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4303649455","doi":"https://doi.org/10.1007/s00521-022-07882-2"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-022-07882-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07882-2","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","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/A5106732226","display_name":"Yahui Wang","orcid":"https://orcid.org/0000-0002-8660-2955"},"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":"Yahui Wang","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/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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005702106"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.0439,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79991158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"4","first_page":"3245","last_page":"3261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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":0.9947999715805054,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/hinge-loss","display_name":"Hinge loss","score":0.7578467130661011},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7175592184066772},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6986124515533447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6184564232826233},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6084465980529785},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.543118417263031},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5175337195396423},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.49136319756507874},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4899420142173767},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4452814757823944},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4414726495742798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43669408559799194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4087463915348053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3610485792160034},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34305864572525024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34283602237701416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24307557940483093}],"concepts":[{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.7578467130661011},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7175592184066772},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6986124515533447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184564232826233},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6084465980529785},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.543118417263031},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5175337195396423},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.49136319756507874},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4899420142173767},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4452814757823944},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4414726495742798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43669408559799194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4087463915348053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3610485792160034},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34305864572525024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34283602237701416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24307557940483093},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-022-07882-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07882-2","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"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":43,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W1978996791","https://openalex.org/W1994807229","https://openalex.org/W1999318832","https://openalex.org/W2032708784","https://openalex.org/W2036350498","https://openalex.org/W2039741433","https://openalex.org/W2051664786","https://openalex.org/W2076300071","https://openalex.org/W2081621367","https://openalex.org/W2089394015","https://openalex.org/W2103350106","https://openalex.org/W2124351082","https://openalex.org/W2136627475","https://openalex.org/W2139212933","https://openalex.org/W2141270971","https://openalex.org/W2151040995","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2162152253","https://openalex.org/W2165466912","https://openalex.org/W2166765763","https://openalex.org/W2170860445","https://openalex.org/W2189713350","https://openalex.org/W2215475184","https://openalex.org/W2343106965","https://openalex.org/W2556907180","https://openalex.org/W2626941642","https://openalex.org/W2751466829","https://openalex.org/W2809211248","https://openalex.org/W2810772906","https://openalex.org/W2888455167","https://openalex.org/W2910310249","https://openalex.org/W2958026736","https://openalex.org/W3011591403","https://openalex.org/W3047949561","https://openalex.org/W3048232032","https://openalex.org/W3130123301","https://openalex.org/W3182310267","https://openalex.org/W3191522374","https://openalex.org/W3195978792","https://openalex.org/W4210890186","https://openalex.org/W4212789048"],"related_works":["https://openalex.org/W2558935147","https://openalex.org/W2605627527","https://openalex.org/W2755287406","https://openalex.org/W2912909874","https://openalex.org/W4288573727","https://openalex.org/W2155183047","https://openalex.org/W2981448761","https://openalex.org/W2768754015","https://openalex.org/W4376864979","https://openalex.org/W2494876756"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
