{"id":"https://openalex.org/W2244433726","doi":"https://doi.org/10.1109/icnc.2015.7378041","title":"Semi-supervised learning by edge domination in complex networks","display_name":"Semi-supervised learning by edge domination in complex networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2244433726","doi":"https://doi.org/10.1109/icnc.2015.7378041","mag":"2244433726"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2015.7378041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","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/A5059054562","display_name":"Paulo Roberto Urio","orcid":"https://orcid.org/0000-0002-6983-4017"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Roberto Urio","raw_affiliation_strings":["Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo S\u00e3o, Carlos, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo S\u00e3o, Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015620643","display_name":"Filipe Alves Neto Verri","orcid":"https://orcid.org/0000-0002-8240-5129"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Filipe Alves Neto Verri","raw_affiliation_strings":["Inst. of Math. & Comput. Sci., Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","Inst. of Math. & Comput. Sci., Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Math. & Comput. Sci., Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Inst. of Math. & Comput. Sci., Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697945","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-1502-6604"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Ribeir\u00e3o Preto School of Philosophy, University of S\u00e3o Paulo Ribeir\u00e3o, Preto, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ribeir\u00e3o Preto School of Philosophy, University of S\u00e3o Paulo Ribeir\u00e3o, Preto, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8903,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83578927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"514","last_page":"519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9918000102043152,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668258786201477},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.601806104183197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597856879234314},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5436612367630005},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5280590653419495},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5229533314704895},{"id":"https://openalex.org/keywords/nonlinear-dynamical-systems","display_name":"Nonlinear dynamical systems","score":0.479990690946579},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47873637080192566},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4569670557975769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4043140411376953},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2427440881729126},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0807165801525116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668258786201477},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.601806104183197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597856879234314},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5436612367630005},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5280590653419495},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5229533314704895},{"id":"https://openalex.org/C2983030100","wikidata":"https://www.wikidata.org/wiki/Q638328","display_name":"Nonlinear dynamical systems","level":3,"score":0.479990690946579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47873637080192566},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4569670557975769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4043140411376953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2427440881729126},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0807165801525116},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2015.7378041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1506806321","https://openalex.org/W1544632947","https://openalex.org/W1990334093","https://openalex.org/W1995876521","https://openalex.org/W2000217610","https://openalex.org/W2010591199","https://openalex.org/W2070722739","https://openalex.org/W2084411930","https://openalex.org/W2122410182","https://openalex.org/W2167973699","https://openalex.org/W2623293810","https://openalex.org/W2792932704","https://openalex.org/W4229605281","https://openalex.org/W4238452917","https://openalex.org/W6649328121"],"related_works":["https://openalex.org/W2154204858","https://openalex.org/W1966008566","https://openalex.org/W2079574545","https://openalex.org/W3127651486","https://openalex.org/W2921182178","https://openalex.org/W4247979471","https://openalex.org/W2159708048","https://openalex.org/W2118964038","https://openalex.org/W2168489430","https://openalex.org/W180869904"],"abstract_inverted_index":{"Bio-inspired":[0],"dynamical":[1,14],"processes":[2],"are":[3,52],"able":[4],"to":[5,24],"identify":[6,67],"nonlinear":[7,68],"features":[8],"in":[9,20,71],"data.":[10,81],"We":[11],"present":[12],"a":[13],"process":[15,39],"model":[16,65],"of":[17,36,42,44,80],"particle":[18],"competition":[19],"complex":[21],"networks":[22],"applied":[23],"transductive":[25],"semi-supervised":[26],"learning.":[27],"Particles":[28],"carry":[29],"labels":[30],"and":[31,74],"compete":[32],"for":[33,56],"the":[34,57],"domination":[35],"edges.":[37],"The":[38,50],"results":[40],"consist":[41],"sets":[43,51],"edges":[45],"arranged":[46],"by":[47],"label":[48],"dominance.":[49],"analyzed":[53],"as":[54],"subnetworks":[55],"data":[58,69],"classification.":[59],"Computer":[60],"simulations":[61],"show":[62],"that":[63],"this":[64],"can":[66],"forms":[70],"both":[72],"real":[73],"artificial":[75],"data,":[76],"including":[77],"overlapping":[78],"structure":[79]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}