{"id":"https://openalex.org/W2811227347","doi":"https://doi.org/10.3390/e20070498","title":"Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle","display_name":"Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2811227347","doi":"https://doi.org/10.3390/e20070498","mag":"2811227347"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20070498","pdf_url":"https://www.mdpi.com/1099-4300/20/7/498/pdf?version=1530100587","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/20/7/498/pdf?version=1530100587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078741231","display_name":"Francisco J. Valverde-Albacete","orcid":"https://orcid.org/0000-0002-5874-7604"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"funder","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Valverde-Albacete","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s 28911, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s 28911, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090068120","display_name":"Carmen Pel\u00e1ez-Moreno","orcid":"https://orcid.org/0000-0003-1425-6763"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"funder","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Carmen Pel\u00e1ez-Moreno","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s 28911, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan\u00e9s 28911, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090068120"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.642,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.596357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":74},"biblio":{"volume":"20","issue":"7","first_page":"498","last_page":"498"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9955,"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":0.9955,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9916,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9846,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/information-theory","display_name":"Information Theory","score":0.431049}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6987498},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.61943936},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6000549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55769545},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4681744},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4580151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45718783},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.44301462},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.431049},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.41267115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39572856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37762293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3748173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32025367},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.27563936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2708351},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22974864},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":6,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20070498","pdf_url":"https://www.mdpi.com/1099-4300/20/7/498/pdf?version=1530100587","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1711.11510","pdf_url":"https://arxiv.org/pdf/1711.11510","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://doaj.org/article/86b5550402eb44e981bd5fa219f1d292","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/28121","pdf_url":"https://e-archivo.uc3m.es/bitstream/10016/28121/1/assessing_entropy_2018.pdf","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":["LA Referencia"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844629","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1711.11510","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20070498","pdf_url":"https://www.mdpi.com/1099-4300/20/7/498/pdf?version=1530100587","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320326262","funder_display_name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a","award_id":"TEC2017-84395-P"},{"funder":"https://openalex.org/F4320326262","funder_display_name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a","award_id":"TEC2014-53390-P"}],"datasets":[],"versions":["https://openalex.org/W2811227347","https://openalex.org/W3099158912"],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1520494951","https://openalex.org/W1965680102","https://openalex.org/W1969116803","https://openalex.org/W1975965427","https://openalex.org/W1995875735","https://openalex.org/W2015363484","https://openalex.org/W2027665171","https://openalex.org/W2035245840","https://openalex.org/W2043314203","https://openalex.org/W2090414491","https://openalex.org/W2095439994","https://openalex.org/W2108384452","https://openalex.org/W2123649031","https://openalex.org/W2143550392","https://openalex.org/W2146705998","https://openalex.org/W2157305458","https://openalex.org/W2164220333","https://openalex.org/W2294798173","https://openalex.org/W2461017520","https://openalex.org/W2506906012","https://openalex.org/W2586305254","https://openalex.org/W2887002214","https://openalex.org/W2964184826","https://openalex.org/W3099837250","https://openalex.org/W3105202427","https://openalex.org/W94122642"],"related_works":["https://openalex.org/W4287553507","https://openalex.org/W3111660818","https://openalex.org/W3037363193","https://openalex.org/W2997083166","https://openalex.org/W2533731304","https://openalex.org/W2386078281","https://openalex.org/W2086424613","https://openalex.org/W2069321575","https://openalex.org/W2053515329","https://openalex.org/W1770458422"],"abstract_inverted_index":{"Data":[0],"transformation,":[1],"e.g.,":[2],"feature":[3,198],"transformation":[4,44,199],"and":[5,24,94,152,162,165,192,200],"selection,":[6],"is":[7,69,125],"an":[8,21,38,172],"integral":[9],"part":[10],"of":[11,30,45,50,58,72,77,112,117,134,160,178,184],"any":[12],"machine":[13,34],"learning":[14,35],"procedure.":[15],"In":[16,37],"this":[17],"paper,":[18],"we":[19,41,80,174],"introduce":[20],"information-theoretic":[22],"model":[23],"tools":[25,180],"to":[26,130,143,157,181],"assess":[27,131],"the":[28,43,73,119,132,158,176,182],"quality":[29],"data":[31,136],"transformations":[32,137],"in":[33,104,138,203],"tasks.":[36,206],"unsupervised":[39,197],"fashion,":[40],"analyze":[42],"a":[46,54,63,70,82,126],"discrete,":[47,55],"multivariate":[48,56,122,135],"source":[49],"information":[51,59,140,185],"X\u00af":[52,161],"into":[53,85],"sink":[57],"Y\u00af":[60],"related":[61],"by":[62],"distribution":[64],"PX\u00afY\u00af.":[65],"The":[66,114],"first":[67],"contribution":[68],"decomposition":[71,151],"maximal":[74],"potential":[75],"entropy":[76,107,123,167],"(X\u00af,Y\u00af),":[78],"which":[79],"call":[81],"balance":[83,99,153],"equation,":[84],"its":[86],"(a)":[87],"non-transferable,":[88],"(b)":[89],"transferable,":[90],"but":[91],"not":[92],"transferred,":[93],"(c)":[95],"transferred":[96],"parts.":[97],"Such":[98],"equations":[100,154],"can":[101],"be":[102],"represented":[103],"(de":[105],"Finetti)":[106],"diagrams,":[108],"our":[109],"second":[110],"set":[111],"contributions.":[113],"most":[115],"important":[116],"these,":[118],"aggregate":[120],"channel":[121],"triangle,":[124],"visual":[127],"exploratory":[128],"tool":[129],"effectiveness":[133],"transferring":[139],"from":[141],"input":[142],"output":[144],"variables.":[145],"We":[146],"also":[147,155],"show":[148],"how":[149],"these":[150,179],"apply":[156],"entropies":[159],"Y\u00af,":[163],"respectively,":[164],"generate":[166],"triangles":[168],"for":[169,188],"them.":[170],"As":[171],"example,":[173],"present":[175],"application":[177],"assessment":[183],"transfer":[186],"efficiency":[187],"Principal":[189],"Component":[190,194],"Analysis":[191,195],"Independent":[193],"as":[196],"selection":[201],"procedures":[202],"supervised":[204],"classification":[205]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2811227347","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-19T03:35:19.704829","created_date":"2018-07-10"}