{"id":"https://openalex.org/W4206345079","doi":"https://doi.org/10.23919/eusipco54536.2021.9616346","title":"Correlated Binary Data for Machine Learning","display_name":"Correlated Binary Data for Machine Learning","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206345079","doi":"https://doi.org/10.23919/eusipco54536.2021.9616346"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616346","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616346","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2117/360381","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006844957","display_name":"Mart\u00ed Llobet Turr\u00f3","orcid":"https://orcid.org/0000-0002-6274-3120"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Marti Llobet Turro","raw_affiliation_strings":["Universitat Politecnica de Catalunya,Barcelona,Spain","Universitat Politecnica de Catalunya, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Politecnica de Catalunya,Barcelona,Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Universitat Politecnica de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089342464","display_name":"Margarita Cabrera\u2010Bean","orcid":"https://orcid.org/0000-0001-9058-3825"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Margarita Cabrera-Bean","raw_affiliation_strings":["Universitat Politecnica de Catalunya,Dept. of Signal Theory and Communications,Barcelona,Spain","Dept. of Signal Theory and Communications, Universitat Politecnica de Catalunya, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Politecnica de Catalunya,Dept. of Signal Theory and Communications,Barcelona,Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Dept. of Signal Theory and Communications, Universitat Politecnica de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006844957"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19933463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1411","last_page":"1415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9959999918937683,"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":0.7893800735473633},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6292150020599365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5882085561752319},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.5762019753456116},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5654222369194031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630401372909546},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5149393677711487},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49180105328559875},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.4798676371574402},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4798157215118408},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46480002999305725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4390266239643097},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10353276133537292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09015512466430664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893800735473633},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6292150020599365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5882085561752319},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.5762019753456116},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5654222369194031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630401372909546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5149393677711487},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49180105328559875},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.4798676371574402},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4798157215118408},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46480002999305725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4390266239643097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10353276133537292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09015512466430664},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616346","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616346","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/360381","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/360381","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/360381","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/360381","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334830","display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca","ror":"https://ror.org/01n4pqe45"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1979598180","https://openalex.org/W1987125632","https://openalex.org/W2052770715","https://openalex.org/W2056083356","https://openalex.org/W2120261416","https://openalex.org/W2142518823","https://openalex.org/W2408756370","https://openalex.org/W2946203786","https://openalex.org/W3106158933","https://openalex.org/W4300788186","https://openalex.org/W6679959949","https://openalex.org/W6680957539","https://openalex.org/W6689554689"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2188759683","https://openalex.org/W4317376680","https://openalex.org/W4360777922","https://openalex.org/W3011239835","https://openalex.org/W4200234001","https://openalex.org/W3158472548","https://openalex.org/W2999368888"],"abstract_inverted_index":{"Data":[0],"sets":[1,51],"containing":[2],"instances":[3],"that":[4,121],"are":[5,16,24,70,101,112],"assigned":[6],"values":[7],"by":[8,37],"an":[9],"ensemble":[10,38,119],"of":[11,13,29,61,106],"annotators":[12],"unknown":[14],"accuracy":[15],"becoming":[17],"increasingly":[18],"common.":[19],"Binary,":[20],"potentially":[21],"correlated":[22,77],"data":[23,50,93,108],"frequent":[25],"in":[26],"a":[27,75,87],"number":[28],"disciplines,":[30],"and":[31,84,98],"thus":[32],"eligible":[33],"to":[34,79,89],"be":[35],"exploited":[36],"meta-learners.":[39],"A":[40,95],"prior":[41],"key":[42],"step":[43],"is":[44,57],"testing":[45],"the":[46,58],"meta-learners":[47,120],"with":[48],"synthetic":[49,92],"featuring":[52],"realistic":[53,91],"correlation":[54],"patterns,":[55],"which":[56],"main":[59],"scope":[60],"this":[62,66],"work.":[63],"To":[64],"achieve":[65],"goal,":[67],"two":[68,104,116],"challenges":[69],"faced:":[71],"(i)":[72],"finding":[73],"out":[74],"new":[76],"pattern":[78],"model":[80],"Bernoulli":[81],"random":[82],"variables,":[83],"(ii)":[85],"obtaining":[86],"process":[88],"generate":[90],"sets.":[94],"comparative":[96],"analysis":[97],"performance":[99],"results":[100],"provided":[102],"for":[103],"methods":[105,111],"artificial":[107],"generation.":[109],"The":[110],"also":[113],"tested":[114],"using":[115],"state-of-the-art":[117],"binary":[118],"consider":[122],"inter-classifier":[123],"dependencies.":[124]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-01-25T00:00:00"}
