{"id":"https://openalex.org/W2276036620","doi":"https://doi.org/10.1155/2016/5919717","title":"A Semisupervised Cascade Classification Algorithm","display_name":"A Semisupervised Cascade Classification Algorithm","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2276036620","doi":"https://doi.org/10.1155/2016/5919717","mag":"2276036620"},"language":"en","primary_location":{"id":"doi:10.1155/2016/5919717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5919717","pdf_url":"http://downloads.hindawi.com/journals/acisc/2016/5919717.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/acisc/2016/5919717.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073119708","display_name":"Stamatis Karlos","orcid":"https://orcid.org/0000-0002-5307-6186"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Stamatis Karlos","raw_affiliation_strings":["Department of Mathematics, University of Patras, 26504 Rio, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Patras, 26504 Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061070955","display_name":"Nikos Fazakis","orcid":"https://orcid.org/0000-0001-7687-2380"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Fazakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, 26504 Rio, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, 26504 Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066370772","display_name":"Sotiris Kotsiantis","orcid":"https://orcid.org/0000-0002-2247-3082"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris Kotsiantis","raw_affiliation_strings":["Department of Mathematics, University of Patras, 26504 Rio, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Patras, 26504 Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012058127","display_name":"Kyriakos Sgarbas","orcid":"https://orcid.org/0000-0002-1797-1343"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kyriakos Sgarbas","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, 26504 Rio, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, 26504 Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073119708"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.857,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82750591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9941999912261963,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.8030444383621216},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7936477661132812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6916853189468384},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5555814504623413},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.5529001951217651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5334627032279968},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4963846802711487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666008949279785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4645144045352936},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4448445439338684},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4321422576904297},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.42551594972610474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34358131885528564},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17882096767425537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030444383621216},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7936477661132812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916853189468384},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5555814504623413},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.5529001951217651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5334627032279968},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4963846802711487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666008949279785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645144045352936},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4448445439338684},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4321422576904297},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42551594972610474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34358131885528564},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17882096767425537},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/5919717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5919717","pdf_url":"http://downloads.hindawi.com/journals/acisc/2016/5919717.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5bb745ad138348fe94023a8e538d28b2","is_oa":true,"landing_page_url":"https://doaj.org/article/5bb745ad138348fe94023a8e538d28b2","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":"Applied Computational Intelligence and Soft Computing, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/5919717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5919717","pdf_url":"http://downloads.hindawi.com/journals/acisc/2016/5919717.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2276036620.pdf","grobid_xml":"https://content.openalex.org/works/W2276036620.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W81045758","https://openalex.org/W121244246","https://openalex.org/W1479758384","https://openalex.org/W1479807131","https://openalex.org/W1493009343","https://openalex.org/W1504694836","https://openalex.org/W1565746575","https://openalex.org/W1670132599","https://openalex.org/W1972297451","https://openalex.org/W1978169406","https://openalex.org/W1978982221","https://openalex.org/W1983048730","https://openalex.org/W1990334093","https://openalex.org/W2000792642","https://openalex.org/W2001392867","https://openalex.org/W2025341678","https://openalex.org/W2037603696","https://openalex.org/W2044074081","https://openalex.org/W2048679005","https://openalex.org/W2056837572","https://openalex.org/W2079057609","https://openalex.org/W2079359777","https://openalex.org/W2085789144","https://openalex.org/W2090093112","https://openalex.org/W2092623244","https://openalex.org/W2094490861","https://openalex.org/W2098708659","https://openalex.org/W2101456598","https://openalex.org/W2104660959","https://openalex.org/W2106401878","https://openalex.org/W2115012618","https://openalex.org/W2115629999","https://openalex.org/W2118314245","https://openalex.org/W2121044470","https://openalex.org/W2126185804","https://openalex.org/W2126514932","https://openalex.org/W2133556223","https://openalex.org/W2133990480","https://openalex.org/W2140785063","https://openalex.org/W2161638512","https://openalex.org/W2165466912","https://openalex.org/W2169875641","https://openalex.org/W2182722412","https://openalex.org/W2912573428"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2394466068","https://openalex.org/W2381401419","https://openalex.org/W2383501440","https://openalex.org/W4312866165","https://openalex.org/W2957157835","https://openalex.org/W145653800","https://openalex.org/W83434975","https://openalex.org/W2393473353","https://openalex.org/W3153505674"],"abstract_inverted_index":{"Classification":[0],"is":[1,89,101,134,157],"one":[2],"of":[3,8,22,29,45,55,97,104,124,130,163,173],"the":[4,27,34,43,75,102,110,116,120,125,131,137,142,161,171,198,201],"most":[5,208],"important":[6],"tasks":[7],"data":[9,25,48],"mining":[10],"techniques,":[11],"which":[12,69,159],"have":[13],"been":[14],"adopted":[15],"by":[16,113],"several":[17],"modern":[18],"applications.":[19],"The":[20,94,128],"shortage":[21],"enough":[23],"labeled":[24,56,71],"in":[26,91,207],"majority":[28],"these":[30],"applications":[31],"has":[32,204],"shifted":[33],"interest":[35],"towards":[36],"using":[37,85],"semisupervised":[38,83,186],"methods.":[39],"Under":[40],"such":[41],"schemes,":[42],"use":[44,70,103],"collected":[46],"unlabeled":[47],"combined":[49],"with":[50,136,183],"a":[51,105,150,167],"clearly":[52],"smaller":[53],"set":[54],"examples":[57,72],"leads":[58],"to":[59,197],"similar":[60],"or":[61,119],"even":[62],"better":[63,205],"classification":[64,84,187],"accuracy":[65,206],"against":[66],"supervised":[67],"algorithms,":[68],"exclusively":[73],"during":[74],"training":[76],"phase.":[77],"A":[78],"novel":[79],"approach":[80],"for":[81,108,144,175],"increasing":[82,109],"Cascade":[86,98],"Classifier":[87,99],"technique":[88,203],"presented":[90,202],"this":[92,148],"paper.":[93],"main":[95],"characteristic":[96],"strategy":[100],"base":[106,168],"classifier":[107,129,155,169],"feature":[111],"space":[112],"adding":[114],"either":[115],"predicted":[117],"class":[118,122],"probability":[121],"distribution":[123],"initial":[126],"data.":[127],"second":[132],"level":[133],"supplied":[135],"new":[138],"dataset":[139],"and":[140,170,193],"extracts":[141],"decision":[143],"each":[145],"instance.":[146],"In":[147],"work,":[149],"self-trained":[151],"NB<mml:math":[152],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[153],"id=\"M1\"><mml:mrow><mml:mo>\u2207</mml:mo></mml:mrow></mml:math>C4.5":[154],"algorithm":[156],"presented,":[158],"combines":[160],"characteristics":[162],"Naive":[164],"Bayes":[165],"as":[166],"speed":[172],"C4.5":[174],"final":[176],"classification.":[177],"We":[178],"performed":[179],"an":[180],"in-depth":[181],"comparison":[182],"other":[184],"well-known":[185],"methods":[188],"on":[189],"standard":[190],"benchmark":[191],"datasets":[192],"we":[194],"finally":[195],"reached":[196],"point":[199],"that":[200],"cases.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}