{"id":"https://openalex.org/W2591830448","doi":"https://doi.org/10.1109/icmlc.2016.7872982","title":"A novel approach for epileptic EEG signals classification based on biclustering technique","display_name":"A novel approach for epileptic EEG signals classification based on biclustering technique","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2591830448","doi":"https://doi.org/10.1109/icmlc.2016.7872982","mag":"2591830448"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2016.7872982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7872982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5028092267","display_name":"Qin Lin","orcid":"https://orcid.org/0000-0002-2310-027X"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Lin","raw_affiliation_strings":["School of Information Engineering, Guangdong Medical University, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong Medical University, Dongguan, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102278872","display_name":"WU Cui-hong","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui-Hong Wu","raw_affiliation_strings":["School of Information Engineering, Guangdong Medical University, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong Medical University, Dongguan, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078400317","display_name":"Wencheng Gu","orcid":"https://orcid.org/0000-0001-5374-9347"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Cheng Gu","raw_affiliation_strings":["School of Information Engineering, Guangdong Medical University, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong Medical University, Dongguan, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442557","display_name":"Jingjing Liu","orcid":"https://orcid.org/0000-0001-9210-6950"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Jing Liu","raw_affiliation_strings":["School of Information Engineering, Guangdong Medical University, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong Medical University, Dongguan, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015564248","display_name":"Yun Xue","orcid":"https://orcid.org/0000-0002-4048-5298"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xue","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Zhao Wang","raw_affiliation_strings":["College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740224","display_name":"Xiaohui Hu","orcid":"https://orcid.org/0000-0001-5717-8676"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Hui Hu","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028092267"],"corresponding_institution_ids":["https://openalex.org/I176834541"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17100276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"756","last_page":"760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8273234367370605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7256503105163574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6102985739707947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5989567637443542},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.5391185283660889},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.531319797039032},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5084580183029175},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5064100027084351},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.46518248319625854},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.4324757754802704},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3355017900466919},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.2924535870552063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09805074334144592},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0971967875957489},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08107972145080566},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07759493589401245},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0717993676662445}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8273234367370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256503105163574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6102985739707947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5989567637443542},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5391185283660889},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.531319797039032},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5084580183029175},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5064100027084351},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.46518248319625854},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.4324757754802704},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3355017900466919},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2924535870552063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09805074334144592},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0971967875957489},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08107972145080566},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07759493589401245},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0717993676662445},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2016.7872982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7872982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1493217831","https://openalex.org/W1988998152","https://openalex.org/W2021970732","https://openalex.org/W2034697419","https://openalex.org/W2053744708","https://openalex.org/W2080146971","https://openalex.org/W2081895431","https://openalex.org/W2098994855","https://openalex.org/W2111072639","https://openalex.org/W2134603844","https://openalex.org/W2140434576","https://openalex.org/W2167113940","https://openalex.org/W4242399520","https://openalex.org/W6629329278","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W1974340769","https://openalex.org/W2900595096","https://openalex.org/W4289277241","https://openalex.org/W2979322793","https://openalex.org/W2765801824","https://openalex.org/W2188068678","https://openalex.org/W2157302779","https://openalex.org/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,21,40,64],"increasingly":[2],"occurred":[3],"disease":[4],"in":[5,86],"the":[6,10,52,68,75,78,87,114,121,127],"modern":[7],"world,":[8],"and":[9,23,95,105,125],"use":[11],"of":[12,16,34,47,70,77,117,123],"automatic":[13,35,50],"detection":[14,39],"technology":[15],"epileptic":[17,36,88,118],"Electroencephalogram":[18],"(EEG)":[19],"signals":[20,38],"more":[22,24,65],"important.":[25],"In":[26],"this":[27],"essay,":[28],"a":[29],"novel":[30],"approach":[31,54],"named":[32],"CC-ELM":[33],"EEG":[37,71,89],"proposed.":[41],"Unlike":[42],"traditional":[43],"dimension":[44,61],"reducing":[45,126],"methods":[46],"most":[48],"current":[49],"detection,":[51],"proposed":[53],"adopts":[55],"biclustering":[56],"to":[57,67],"perform":[58],"an":[59],"unsupervised":[60],"reduction,":[62],"which":[63],"suitable":[66],"characteristic":[69],"signals.":[72],"To":[73],"verify":[74],"performance":[76],"presented":[79],"approach,":[80],"experiments":[81],"have":[82],"been":[83],"carried":[84],"out":[85],"data.":[90],"The":[91,107],"average":[92],"sensitivity,":[93],"specificity":[94],"recognition":[96],"accuracy":[97,116],"obtained":[98],"by":[99],"our":[100],"method":[101],"are":[102],"96.67%,":[103],"100.00%":[104],"98.00%.":[106],"study":[108],"might":[109],"be":[110],"meaningful":[111],"for":[112],"improving":[113],"diagnostic":[115],"disease,":[119],"relieving":[120],"workload":[122],"doctors":[124],"medical":[128],"cost.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}