{"id":"https://openalex.org/W2090134434","doi":"https://doi.org/10.1109/ijcnn.2013.6706731","title":"Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI)","display_name":"Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI)","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2090134434","doi":"https://doi.org/10.1109/ijcnn.2013.6706731","mag":"2090134434"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5029316432","display_name":"G. S. D. Babu","orcid":"https://orcid.org/0000-0002-5586-5920"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"G. Sateesh Babu","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"S. Suresh","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110886023","display_name":"B. S. Mahanand","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"B. S. Mahanand","raw_affiliation_strings":["Department of Information Science and Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India","institution_ids":[]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029316432"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.2747,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81139301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7368","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9781000018119812,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6721063852310181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6683226227760315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6470804810523987},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5856444239616394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5482613444328308},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5303861498832703},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5119069814682007},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4985067844390869},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.467242032289505},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.43682146072387695},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4241222143173218},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40236896276474},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14251476526260376},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11394745111465454}],"concepts":[{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6721063852310181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6683226227760315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470804810523987},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5856444239616394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5482613444328308},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5303861498832703},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5119069814682007},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4985067844390869},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.467242032289505},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.43682146072387695},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4241222143173218},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40236896276474},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14251476526260376},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11394745111465454},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1537587296","https://openalex.org/W1658916718","https://openalex.org/W1968930420","https://openalex.org/W1969885712","https://openalex.org/W1974887910","https://openalex.org/W1975489862","https://openalex.org/W1975926472","https://openalex.org/W1996191580","https://openalex.org/W2001648635","https://openalex.org/W2006476624","https://openalex.org/W2026131661","https://openalex.org/W2036162736","https://openalex.org/W2042042193","https://openalex.org/W2049827293","https://openalex.org/W2052873478","https://openalex.org/W2054540100","https://openalex.org/W2059658584","https://openalex.org/W2067517391","https://openalex.org/W2078524519","https://openalex.org/W2084812512","https://openalex.org/W2101282194","https://openalex.org/W2119848633","https://openalex.org/W2124097466","https://openalex.org/W2126546338","https://openalex.org/W2129812935","https://openalex.org/W2141804730","https://openalex.org/W2143826137","https://openalex.org/W2146089088","https://openalex.org/W2153171432","https://openalex.org/W2153635508","https://openalex.org/W2155513557","https://openalex.org/W2156869838","https://openalex.org/W2167840686","https://openalex.org/W2171380313","https://openalex.org/W4230920194","https://openalex.org/W6678698135"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059","https://openalex.org/W2594741298","https://openalex.org/W2950235258","https://openalex.org/W6717794"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,135],"present":[4,95],"a":[5,24,45,49,56,66,89,117],"novel":[6],"approach":[7],"for":[8,30,153],"classification":[9],"of":[10],"Mild":[11],"Cognitive":[12],"Impairment":[13],"(MCI)":[14],"and":[15,48,83,110,159,182],"normal":[16,183],"subjects":[17],"from":[18,140,156],"Magnetic":[19],"Resonance":[20],"Images":[21],"(MRI)":[22],"using":[23],"proposed":[25,175],"`sequential":[26],"Projection":[27,119],"Based":[28,120,148],"Learning":[29,121],"Meta-cognitive":[31],"q-Gaussian":[32,67],"Radial":[33,60],"Basis":[34,61],"Function":[35,62],"Network":[36],"(PBL-McqRBFN)'":[37],"classifier.":[38,168],"The":[39,52,92,114,169],"McqRBFN":[40,97,115],"has":[41],"two":[42],"components,":[43],"namely,":[44],"cognitive":[46,53],"component":[47,54,94],"meta-cognitive":[50,93],"components.":[51],"is":[55,151],"single":[57],"hidden":[58],"layer":[59],"(RBF)":[63],"network":[64],"with":[65],"activation":[68],"function,":[69],"that":[70,173],"allows":[71],"different":[72],"RBF's":[73],"in":[74,96,99,130],"one":[75],"network,":[76],"like":[77],"the":[78,80,84,126,141,166],"Gaussian,":[79],"Inverse":[81],"Multiquadratic,":[82],"Cauchy":[85],"functions,":[86],"by":[87],"changing":[88],"real":[90],"q-parameter.":[91],"helps":[98],"selecting":[100],"proper":[101],"samples":[102],"to":[103,124],"learn":[104],"based":[105],"on":[106],"its":[107],"current":[108],"knowledge":[109],"evolve":[111],"architecture":[112],"automatically.":[113],"employs":[116],"sequential":[118],"(PBL)":[122],"algorithm":[123],"reduce":[125],"computational":[127],"effort":[128],"used":[129,137,152],"training.":[131],"For":[132],"simulation":[133],"studies,":[134],"have":[136],"MRI":[138,157],"data":[139,158],"Alzheimer's":[142],"Disease":[143],"Neuroimaging":[144],"Initiative":[145],"database.":[146],"Voxel":[147],"Morphometry":[149],"(VBM)":[150],"feature":[154],"extraction":[155],"extracted":[160],"VBM":[161],"features":[162],"are":[163],"fed":[164],"into":[165],"PBL-McqRBFN":[167,176],"experimental":[170],"results":[171],"show":[172],"our":[174],"classifier":[177],"can":[178],"accurately":[179],"differentiate":[180],"MCI":[181],"subjects.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
