{"id":"https://openalex.org/W2135569230","doi":"https://doi.org/10.1109/ijcnn.2012.6252736","title":"Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction","display_name":"Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2135569230","doi":"https://doi.org/10.1109/ijcnn.2012.6252736","mag":"2135569230"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5061965141","display_name":"Helyane Bronoski Borges","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Helyane Bronoski Borges","raw_affiliation_strings":["UTFPR- Universidade Tecnol\u00f3gica Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UTFPR- Universidade Tecnol\u00f3gica Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008799936","display_name":"J\u00falio C\u00e9sar Nievola","orcid":"https://orcid.org/0000-0002-2212-4499"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Julio Cesar Nievola","raw_affiliation_strings":["[PPGIa-Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 (PUCPR), Curitiba, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[PPGIa-Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 (PUCPR), Curitiba, Brazil]","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8613,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90479471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9932000041007996,"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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7644988298416138},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.667698860168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6160445213317871},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.58649742603302},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.5741531848907471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5456483960151672},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5233444571495056},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.515009880065918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4856809079647064},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4333919286727905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37738674879074097},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.300525426864624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06689715385437012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644988298416138},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.667698860168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6160445213317871},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.58649742603302},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.5741531848907471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5456483960151672},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5233444571495056},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.515009880065918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4856809079647064},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4333919286727905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37738674879074097},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.300525426864624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06689715385437012},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W107342854","https://openalex.org/W1494184549","https://openalex.org/W1563942368","https://openalex.org/W1620204465","https://openalex.org/W1647060261","https://openalex.org/W1753402186","https://openalex.org/W1967542092","https://openalex.org/W1974758710","https://openalex.org/W1990517717","https://openalex.org/W2016799887","https://openalex.org/W2016944307","https://openalex.org/W2073830447","https://openalex.org/W2081415962","https://openalex.org/W2117225622","https://openalex.org/W2121893605","https://openalex.org/W2134789671","https://openalex.org/W2137810087","https://openalex.org/W2150766729","https://openalex.org/W2155440340","https://openalex.org/W2168606214","https://openalex.org/W2338565478","https://openalex.org/W2526526357","https://openalex.org/W3148216799","https://openalex.org/W4243874760","https://openalex.org/W6629567984","https://openalex.org/W6636378376","https://openalex.org/W6703582540","https://openalex.org/W6728200263"],"related_works":["https://openalex.org/W2094822546","https://openalex.org/W4388708026","https://openalex.org/W2943022475","https://openalex.org/W1969080446","https://openalex.org/W2520368209","https://openalex.org/W3108941781","https://openalex.org/W1989829608","https://openalex.org/W1578069856","https://openalex.org/W2084200259","https://openalex.org/W2573410259"],"abstract_inverted_index":{"Hierarchical":[0,48],"classification":[1,32,41],"is":[2,22],"a":[3,51],"problem":[4],"with":[5],"applications":[6],"in":[7],"many":[8],"areas":[9],"as":[10],"protein":[11],"function":[12],"prediction":[13],"where":[14],"the":[15,24,43,63],"dates":[16],"are":[17,69],"hierarchically":[18],"structured.":[19],"Therefore,":[20],"it":[21],"necessary":[23],"development":[25],"of":[26],"algorithms":[27],"able":[28],"to":[29],"induce":[30],"hierarchical":[31,40],"models.":[33],"This":[34],"paper":[35],"presents":[36],"an":[37],"algorithm":[38],"for":[39],"using":[42,50],"global":[44],"approach,":[45],"called":[46],"Multilabel":[47],"Classification":[49],"Competitive":[52],"Neural":[53],"Network":[54],"(MHC-CNN).":[55],"It":[56],"was":[57],"tested":[58],"on":[59],"some":[60],"datasets":[61],"from":[62],"bioinformatics":[64],"field":[65],"and":[66],"its":[67],"results":[68],"promising.":[70]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}