{"id":"https://openalex.org/W4289101690","doi":"https://doi.org/10.55185/researcher.1102901","title":"Learning Capabilities of AI Methodologies on Multi-Class Datasets","display_name":"Learning Capabilities of AI Methodologies on Multi-Class Datasets","publication_year":2022,"publication_date":"2022-04-13","ids":{"openalex":"https://openalex.org/W4289101690","doi":"https://doi.org/10.55185/researcher.1102901"},"language":"en","primary_location":{"id":"pmh:oai:dergipark.org.tr:article/1102901","doi":"https://doi.org/10.55185/researcher.1102901","is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","pdf_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Researcher","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027110712","display_name":"Ender Sevin\u00e7","orcid":"https://orcid.org/0000-0001-7670-722X","observed_orcids":["https://orcid.org/0000-0001-7670-722X"]},"institutions":[{"id":"https://openalex.org/I4387152199","display_name":"Ankara Bilim \u00dcniversitesi","ror":"https://ror.org/041vwqc20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387152199"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sevin\u00e7, Ender","raw_affiliation_strings":["Ankara Bilim Universitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ankara Bilim Universitesi","institution_ids":["https://openalex.org/I4387152199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027110712"],"corresponding_institution_ids":["https://openalex.org/I4387152199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10320","display_name":"Neural Networks and Applications","score":0.3537999987602234,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.02419999986886978,"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/multiclass-classification","display_name":"multi-class classification","score":0.996999979019165},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7450000047683716},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.7749999761581421},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.7670000195503235},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.6050000190734863},{"id":"https://openalex.org/keywords/execution-time","display_name":"execution time","score":0.5220000147819519}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.589080274105072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5710958242416382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501600980758667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45695188641548157},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38388490676879883}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dergipark.org.tr:article/1102901","doi":"https://doi.org/10.55185/researcher.1102901","is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","pdf_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Researcher","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:dergipark.org.tr:article/1102901","doi":"https://doi.org/10.55185/researcher.1102901","is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","pdf_url":"https://dergipark.org.tr/tr/pub/researcher/issue/71582/1102901","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Researcher","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289101690.pdf","grobid_xml":"https://content.openalex.org/works/W4289101690.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3101498795","https://openalex.org/W4205772392","https://openalex.org/W3129918465","https://openalex.org/W4281769597","https://openalex.org/W7128795679","https://openalex.org/W1986906237","https://openalex.org/W7117259128","https://openalex.org/W2971434671","https://openalex.org/W2891124631","https://openalex.org/W2560310104"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"methods":[3,164],"have":[4,16,26,83,166],"numerous":[5],"kinds":[6],"of":[7,116,135,170,178],"application":[8,171],"areas":[9,22],"up":[10],"to":[11,32,48,76,86,103,127],"now.":[12],"Since":[13,52],"they":[14],"generally":[15],"remarkable":[17,144],"success":[18,145],"in":[19,94,113],"learning,":[20],"study":[21,41,60],"and":[23,43,73,88,106,111,122,147],"research":[24],"field":[25],"diversified":[27],"drastically.":[28],"Neural":[29],"networks":[30,157],"seem":[31],"be":[33,109],"appropriate":[34],"for":[35,180],"such":[36],"a":[37,70,155,167],"learning":[38],"capability.":[39],"The":[40,98,140],"discusses":[42],"examines":[44],"several":[45],"ML":[46,163],"methodologies":[47],"decide":[49],"the":[50,59,90,117,149,152],"output.":[51],"binary":[53],"classification":[54,64],"is":[55,125,131,160],"another":[56],"interesting":[57],"area,":[58],"focuses":[61],"on":[62],"multi-class":[63],"problems.":[65],"Datasets":[66],"are":[67,119],"chosen":[68],"from":[69],"commonly":[71],"known":[72],"accepted":[74],"repository":[75],"avoid":[77],"fakeness.":[78],"Totally":[79],"four":[80,95],"different":[81,91,96],"classifiers":[82,99],"been":[84],"used":[85],"understand":[87],"know":[89],"output":[92],"classes":[93,153],"datasets.":[97],"use":[100],"various":[101],"arguments":[102],"work":[104],"with":[105],"these":[107],"will":[108,165],"shown":[110],"explained":[112],"detail.":[114],"Two":[115],"datasets":[118],"newly":[120],"added":[121],"medium-sized,":[123],"this":[124],"preferred":[126],"show":[128],"that":[129,162],"there":[130],"almost":[132],"no":[133],"time":[134],"execution":[136],"difference":[137],"among":[138,151],"all.":[139],"system":[141],"developed":[142],"gives":[143],"rates":[146],"eliminates":[148],"differences":[150],"using":[154],"neural":[156],"system.":[158],"It":[159],"believed":[161],"wide":[168],"range":[169],"fields":[172],"as":[173],"researchers":[174],"widen":[175],"their":[176],"point":[177],"view":[179],"academic":[181],"studies.":[182]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2022-08-01T00:00:00"}
