{"id":"https://openalex.org/W2726137409","doi":"https://doi.org/10.1109/siu.2017.7960191","title":"Cone vertex estimation in polyhedral conic classifiers","display_name":"Cone vertex estimation in polyhedral conic classifiers","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2726137409","doi":"https://doi.org/10.1109/siu.2017.7960191","mag":"2726137409"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5086029637","display_name":"Golara Ghorban Dordinejad","orcid":null},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Golara Ghorban Dordinejad","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072358879","display_name":"Hakan \u00c7ev\u0131kalp","orcid":"https://orcid.org/0000-0002-1708-8817"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Cevikalp","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086029637"],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07352326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9882000088691711,"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/conic-section","display_name":"Conic section","score":0.9619494676589966},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.7339115738868713},{"id":"https://openalex.org/keywords/cone","display_name":"Cone (formal languages)","score":0.6869443655014038},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6380773186683655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093243956565857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.549921989440918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46443068981170654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4351730942726135},{"id":"https://openalex.org/keywords/conic-optimization","display_name":"Conic optimization","score":0.41084447503089905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3358945846557617},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22864961624145508},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07392862439155579},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.060060858726501465}],"concepts":[{"id":"https://openalex.org/C108598597","wikidata":"https://www.wikidata.org/wiki/Q124255","display_name":"Conic section","level":2,"score":0.9619494676589966},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.7339115738868713},{"id":"https://openalex.org/C30014739","wikidata":"https://www.wikidata.org/wiki/Q5159445","display_name":"Cone (formal languages)","level":2,"score":0.6869443655014038},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6380773186683655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093243956565857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.549921989440918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46443068981170654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4351730942726135},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.41084447503089905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3358945846557617},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22864961624145508},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07392862439155579},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.060060858726501465},{"id":"https://openalex.org/C12108790","wikidata":"https://www.wikidata.org/wiki/Q2234833","display_name":"Convex analysis","level":4,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1516593761","https://openalex.org/W1970088130","https://openalex.org/W1971368911","https://openalex.org/W1986422783","https://openalex.org/W1986734868","https://openalex.org/W2003124853","https://openalex.org/W2132425109","https://openalex.org/W2426910956","https://openalex.org/W2737669589","https://openalex.org/W4205213118","https://openalex.org/W6631113179","https://openalex.org/W6741367785"],"related_works":["https://openalex.org/W3199026565","https://openalex.org/W4323321439","https://openalex.org/W3124564720","https://openalex.org/W2952330476","https://openalex.org/W2180827833","https://openalex.org/W4293777484","https://openalex.org/W2588229150","https://openalex.org/W2031269429","https://openalex.org/W2047688435","https://openalex.org/W3103795021"],"abstract_inverted_index":{"Recently,":[0],"polyhedral":[1,21,57,71,76],"conic":[2,22,58,72,77],"classifiers":[3,23,73,78],"have":[4,104],"become":[5],"popular":[6],"since":[7],"they":[8],"perform":[9],"better":[10],"compared":[11,65],"to":[12,51,84],"the":[13,34,48,53,56,67,81,85,88,117],"Support":[14],"Vector":[15],"Machines":[16],"(SVMs).":[17],"Cone":[18],"vertex":[19,50,83],"of":[20,36,55,87,109],"is":[24,30],"an":[25],"important":[26],"parameter":[27],"and":[28,70,74,99],"it":[29],"generally":[31],"taken":[32],"as":[33],"mean":[35,86],"positive":[37,89],"data":[38,102,125],"in":[39,94,123],"literature.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"studied":[45],"optimally":[46],"estimating":[47],"cone":[49,82],"improve":[52],"accuracy":[54],"classifiers.":[59],"The":[60],"proposed":[61,118],"method":[62],"has":[63,120],"been":[64,105],"with":[66],"linear":[68],"SVMs":[69],"extended":[75],"that":[79,116],"fix":[80],"data.":[90],"Various":[91],"real":[92],"databases":[93],"UCI":[95],"Machine":[96],"Learning":[97],"Repository":[98],"a":[100],"synthetic":[101],"set":[103],"used":[106],"for":[107],"comparison":[108],"these":[110],"classification":[111,126],"methods.":[112],"Experimental":[113],"results":[114,122],"show":[115],"approach":[119],"good":[121],"solving":[124],"problems.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
