{"id":"https://openalex.org/W2152452286","doi":"https://doi.org/10.1109/icsmc.2004.1400891","title":"A hybrid training mechanism for applying neural networks to web-based applications","display_name":"A hybrid training mechanism for applying neural networks to web-based applications","publication_year":2005,"publication_date":"2005-04-12","ids":{"openalex":"https://openalex.org/W2152452286","doi":"https://doi.org/10.1109/icsmc.2004.1400891","mag":"2152452286"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1400891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5015285873","display_name":"Ko-Kang Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ko-Kang Chu","raw_affiliation_strings":["Department of Info. and Comp. Eng., Chung Yuan Christian University, Chungli, Taiwan","Department of Information and Computer Engineering Chung Yuan Christian University, Chung Li, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Info. and Comp. Eng., Chung Yuan Christian University, Chungli, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Department of Information and Computer Engineering Chung Yuan Christian University, Chung Li, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059728793","display_name":"Maiga Chang","orcid":"https://orcid.org/0000-0002-2827-6223"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maiga Chang","raw_affiliation_strings":["Program Office of National"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program Office of National","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027550120","display_name":"Yen\u2010Teh Hsia","orcid":"https://orcid.org/0000-0001-7954-9415"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Teh Hsia","raw_affiliation_strings":["Department of Info. and Comp. Eng., Chung Yuan Christian University, Chungli, Taiwan","Chung Yuan Christian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Info. and Comp. Eng., Chung Yuan Christian University, Chungli, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Chung Yuan Christian University","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3543","last_page":"3547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9926999807357788,"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/T10320","display_name":"Neural Networks and Applications","score":0.9926999807357788,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9725000262260437,"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/T10057","display_name":"Face and Expression Recognition","score":0.9675999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8165061473846436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.810683012008667},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6751702427864075},{"id":"https://openalex.org/keywords/cheating","display_name":"Cheating","score":0.6346171498298645},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6318321228027344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609313249588013},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47349557280540466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4572150707244873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165061473846436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.810683012008667},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6751702427864075},{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.6346171498298645},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6318321228027344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609313249588013},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47349557280540466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4572150707244873},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsmc.2004.1400891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.1119","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.1119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maiga.athabascau.ca/publication/Conference-2004-SMC2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1535824360","https://openalex.org/W1608027969","https://openalex.org/W2006493416","https://openalex.org/W2018839271","https://openalex.org/W2056857986","https://openalex.org/W2108604431","https://openalex.org/W2132519371","https://openalex.org/W2142094152","https://openalex.org/W2162932000","https://openalex.org/W2209650844","https://openalex.org/W2359973477","https://openalex.org/W6636384012","https://openalex.org/W6679720448","https://openalex.org/W6684140911"],"related_works":["https://openalex.org/W2012288173","https://openalex.org/W1968538666","https://openalex.org/W2097662580","https://openalex.org/W3199302685","https://openalex.org/W2344072770","https://openalex.org/W2389163612","https://openalex.org/W2365256465","https://openalex.org/W2363831685","https://openalex.org/W4290547606","https://openalex.org/W2559270546"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,67],"hybrid":[4,68,110],"training":[5,71,82,111,118],"neural":[6,19,54,74],"network":[7,20,55],"and":[8,116],"applying":[9,52],"it":[10],"to":[11,56,76,105],"the":[12,25,36,53,61,90,96,114],"accuracy":[13,62],"counter":[14],"(AC)":[15],"developed":[16],"previously.":[17],"The":[18,39],"is":[21,100],"used":[22],"for":[23,28,73,94],"detecting":[24,95],"cheating":[26],"model":[27],"abnormal":[29,97],"browsing":[30,98],"behaviors":[31,99],"performed":[32],"by":[33],"users":[34],"in":[35,113],"conflicting":[37],"environment.":[38],"most":[40],"significant":[41],"issue,":[42],"training,":[43],"should":[44],"be":[45],"taken":[46],"into":[47],"consideration":[48],"while":[49],"we":[50,65,85],"are":[51],"Web-based":[57],"applications":[58],"such":[59],"as":[60],"counter.":[63],"Therefore,":[64],"design":[66],"Web":[69],"based":[70],"mechanism":[72],"networks":[75,108],"deal":[77],"with":[78,109],"this":[79],"kind":[80],"of":[81],"problem.":[83],"Finally,":[84],"also":[86],"find":[87],"out":[88],"that":[89],"AC's":[91],"block":[92],"rate":[93],"increasing":[101],"from":[102],"61%":[103],"(rule-based)":[104],"76%":[106],"(neural":[107],"mechanism)":[112],"efficient":[115],"acceptable":[117],"period.":[119]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}