{"id":"https://openalex.org/W2994742598","doi":"https://doi.org/10.1109/acirs.2019.8935971","title":"Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification","display_name":"Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2994742598","doi":"https://doi.org/10.1109/acirs.2019.8935971","mag":"2994742598"},"language":"en","primary_location":{"id":"doi:10.1109/acirs.2019.8935971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8935971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","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/A5048298559","display_name":"M. Anwar Ma\u2019sum","orcid":"https://orcid.org/0000-0002-9251-7781"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"M. Anwar Ma'sum","raw_affiliation_strings":["Faculty of Computer Science Universitas Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science Universitas Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069933043","display_name":"Wisnu Jatmiko","orcid":"https://orcid.org/0000-0002-0530-7955"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wisnu Jatmiko","raw_affiliation_strings":["Faculty of Computer Science Universitas Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science Universitas Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048298559"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59028228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9984999895095825,"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":0.9947999715805054,"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/codebook","display_name":"Codebook","score":0.9651168584823608},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8041601777076721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7208185195922852},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7044492959976196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6487311124801636},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5867242813110352},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5787632465362549},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5153664946556091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4766707718372345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45552265644073486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34399718046188354}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9651168584823608},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8041601777076721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208185195922852},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7044492959976196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6487311124801636},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5867242813110352},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5787632465362549},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5153664946556091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4766707718372345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45552265644073486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34399718046188354},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acirs.2019.8935971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8935971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1710978090","https://openalex.org/W1946293154","https://openalex.org/W1964502729","https://openalex.org/W1990291111","https://openalex.org/W2094853299","https://openalex.org/W2108807072","https://openalex.org/W2121658992","https://openalex.org/W2122040390","https://openalex.org/W2288738047","https://openalex.org/W2585528949","https://openalex.org/W2619383789","https://openalex.org/W2758219826","https://openalex.org/W2786691623","https://openalex.org/W6637642295","https://openalex.org/W6676485797"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2950156284","https://openalex.org/W2736714427","https://openalex.org/W2163679795","https://openalex.org/W2137816434","https://openalex.org/W2017956276"],"abstract_inverted_index":{"One":[0],"of":[1,30],"the":[2,31,40,48,51,59,64],"challenge":[3],"in":[4,8,71,77],"classification":[5,7],"is":[6],"multimodal":[9,23],"data.":[10],"This":[11],"paper":[12],"proposed":[13,32],"multi-codebook":[14,52],"fuzzy":[15],"neural":[16],"network":[17],"by":[18],"using":[19,54],"incremental":[20,56],"learning":[21,57],"for":[22],"data":[24],"classification.":[25],"There":[26],"are":[27],"2":[28],"variations":[29],"method,":[33],"one":[34],"uses":[35,42],"a":[36,43],"static":[37],"threshold,":[38],"and":[39,80],"other":[41],"dynamic":[44,55],"threshold.":[45],"Based":[46],"on":[47,82],"experiment":[49],"result,":[50],"FNGLVQ":[53],"has":[58],"highest":[60],"improvement":[61],"compared":[62],"to":[63],"original":[65],"FNGLVQ.":[66],"It":[67],"achieves":[68],"15.65%":[69],"margin":[70,76],"synthetic":[72],"dataset,":[73,79],"5.02":[74],"%":[75],"benchmark":[78],"11.30%":[81],"average":[83],"all":[84],"dataset.":[85]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
