{"id":"https://openalex.org/W1573641998","doi":"https://doi.org/10.1109/ccece.2015.7129181","title":"A robust classification model with voting based feature selection for diagnosis of epilepsy","display_name":"A robust classification model with voting based feature selection for diagnosis of epilepsy","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1573641998","doi":"https://doi.org/10.1109/ccece.2015.7129181","mag":"1573641998"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2015.7129181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2015.7129181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047007749","display_name":"Ali Hassan","orcid":"https://orcid.org/0000-0002-1505-5157"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ali Hassan","raw_affiliation_strings":["College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]},{"raw_affiliation_string":"[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005093152","display_name":"Farhan Riaz","orcid":"https://orcid.org/0000-0002-8669-7165"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Farhan Riaz","raw_affiliation_strings":["College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]},{"raw_affiliation_string":"[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751622","display_name":"A. Basit","orcid":"https://orcid.org/0000-0001-8631-194X"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdul Basit","raw_affiliation_strings":["College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]},{"raw_affiliation_string":"[College of Electrical & Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan]","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"176","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7361676692962646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718031108379364},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6986796855926514},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6815013885498047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6026721596717834},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5533937811851501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5406578779220581},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.518721878528595},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4917164146900177},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4610890746116638},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4395102858543396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35457733273506165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7361676692962646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718031108379364},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6986796855926514},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6815013885498047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6026721596717834},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5533937811851501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5406578779220581},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.518721878528595},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4917164146900177},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4610890746116638},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4395102858543396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35457733273506165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2015.7129181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2015.7129181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1714192071","https://openalex.org/W1967464411","https://openalex.org/W2012267789","https://openalex.org/W2013282762","https://openalex.org/W2024665862","https://openalex.org/W2044697872","https://openalex.org/W2051442296","https://openalex.org/W2051718620","https://openalex.org/W2097775060","https://openalex.org/W2118693417","https://openalex.org/W2132692319","https://openalex.org/W2143826137","https://openalex.org/W2154053567","https://openalex.org/W6637529695","https://openalex.org/W6653238823"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2915435096","https://openalex.org/W3159874618"],"abstract_inverted_index":{"It":[0],"is":[1,45,69],"well":[2],"a":[3,86,108,115,146,177],"known":[4],"fact":[5],"that":[6,54,59,91,122],"neuropsychiatric":[7,30],"disorders":[8],"cause":[9],"abnormalities":[10,21],"in":[11,77,111,189,198],"connectivity":[12],"patterns":[13],"of":[14,29,34,64,75,126,134,208,214],"brain":[15],"regions.":[16],"Identifying":[17],"and":[18,99],"characterising":[19],"these":[20],"can":[22],"be":[23],"exploited":[24],"to":[25,62,71,79,148,159,205],"get":[26,80],"better":[27,81,193],"diagnosis":[28],"diseases":[31],"with":[32,172],"help":[33],"resting":[35],"state":[36],"functional":[37],"magnetic":[38],"resonance":[39],"imaging":[40],"(rfMRI)":[41],"data.":[42],"But":[43],"this":[44,104,154,190,203],"not":[46],"an":[47],"easy":[48],"task":[49],"because":[50],"rfMRI":[51],"produces":[52],"data":[53,158,179],"has":[55],"very":[56],"large":[57],"dimensions":[58],"will":[60],"lead":[61],"curse":[63],"dimensionality":[65],"problem.":[66],"So":[67],"it":[68],"necessary":[70],"reduce":[72],"the":[73,94,124,132,182,199,206,212],"number":[74],"features":[76,129],"order":[78],"classification":[82,109,174,184,216],"accuracy.":[83],"This":[84],"needs":[85],"robust":[87],"feature":[88,118,136],"selection":[89,119,125,137],"criterion":[90],"best":[92,207],"describes":[93],"differences":[95],"between":[96,161],"epileptic":[97,167],"patients":[98,168],"healthy":[100,170],"control":[101],"group.":[102],"In":[103],"paper":[105,191],"we":[106,113],"present":[107],"model":[110,155],"which":[112],"introduce":[114],"voting":[116],"based":[117],"(VFS)":[120],"approach":[121],"ensures":[123],"most":[127],"discriminative":[128],"by":[130],"combining":[131],"capabilities":[133],"several":[135],"techniques.":[138],"We":[139,152,164],"used":[140],"AdaBoost":[141],"for":[142],"RBF":[143],"network":[144],"as":[145],"classifier":[147],"avoid":[149],"over":[150],"fitting.":[151],"applied":[153],"on":[156,176,202],"rfMRI-based":[157],"discriminate":[160],"two":[162],"groups.":[163],"correctly":[165],"classify":[166],"from":[169],"controls":[171],"85.33%":[173],"accuracy":[175],"heterogeneous":[178],"set":[180],"using":[181],"proposed":[183],"model.":[185,217],"The":[186],"results":[187,197],"presented":[188],"are":[192],"than":[194],"other":[195],"reported":[196],"current":[200],"literature":[201],"dataset":[204],"our":[209,215],"knowledge":[210],"confirming":[211],"effectiveness":[213]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}