{"id":"https://openalex.org/W3023559348","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206702","title":"Visualisation and knowledge discovery from interpretable models","display_name":"Visualisation and knowledge discovery from interpretable models","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3023559348","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206702","mag":"3023559348"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.03632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066364214","display_name":"Sreejita Ghosh","orcid":"https://orcid.org/0000-0001-7865-2736"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sreejita Ghosh","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands","University of Groningen, Bernoulli Institute, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, Bernoulli Institute, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051182859","display_name":"Peter Ti\u0148o","orcid":"https://orcid.org/0000-0003-2330-128X"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Tino","raw_affiliation_strings":["School of Computer Science, University of Birmingham, Edgbaston, Birmingham, The United Kingdom","University of Birmingham,School of Computer Science,Edgbaston,Birmingham,The United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Edgbaston, Birmingham, The United Kingdom","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"University of Birmingham,School of Computer Science,Edgbaston,Birmingham,The United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030298766","display_name":"Kerstin Bunte","orcid":"https://orcid.org/0000-0002-2930-6172"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kerstin Bunte","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands","University of Groningen, Bernoulli Institute, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, Bernoulli Institute, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1334,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5345181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9972000122070312,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9972000122070312,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9778000116348267,"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/interpretability","display_name":"Interpretability","score":0.9388387203216553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205328941345215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016699314117432},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6341763138771057},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.589128315448761},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5808097720146179},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.4165263772010803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39770379662513733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27701759338378906}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9388387203216553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205328941345215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016699314117432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6341763138771057},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.589128315448761},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5808097720146179},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.4165263772010803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39770379662513733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27701759338378906}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.03632","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03632","pdf_url":"https://arxiv.org/pdf/2005.03632","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3023559348","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2005.03632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2005.03632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.03632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.03632","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03632","pdf_url":"https://arxiv.org/pdf/2005.03632","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1134578003","display_name":null,"funder_award_id":"H2020-MSCA-IF-2014","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1633457064","display_name":"Learning in the Space of Dynamical Models of Adrenal Steroidogenesis \u201cLeSoDyMAS\u201d","funder_award_id":"659104","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3345895242","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G526393511","display_name":null,"funder_award_id":"MSCA-IF-2014","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8065356325","display_name":"Rosalind Franklin Fellowship Cofund Programme","funder_award_id":"600211","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8512683158","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8574376095","display_name":null,"funder_award_id":"H2020-MSCA-IF","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8732794959","display_name":null,"funder_award_id":"H2020-MSCA-IF-2014","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320933","display_name":"Rijksuniversiteit Groningen","ror":"https://ror.org/012p63287"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337373","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1968614217","https://openalex.org/W2026841079","https://openalex.org/W2039434802","https://openalex.org/W2057911371","https://openalex.org/W2068677783","https://openalex.org/W2093827448","https://openalex.org/W2094150678","https://openalex.org/W2103069675","https://openalex.org/W2103595817","https://openalex.org/W2123749980","https://openalex.org/W2124067153","https://openalex.org/W2141317097","https://openalex.org/W2148143831","https://openalex.org/W2576284020","https://openalex.org/W2594475271","https://openalex.org/W2625679686","https://openalex.org/W2902011388","https://openalex.org/W2911964244","https://openalex.org/W2964303497","https://openalex.org/W2968196551","https://openalex.org/W3110802511","https://openalex.org/W6678524678","https://openalex.org/W6732097898","https://openalex.org/W6739366281","https://openalex.org/W6756069727"],"related_works":["https://openalex.org/W3089700661","https://openalex.org/W2911810434","https://openalex.org/W3023350979","https://openalex.org/W3153511226","https://openalex.org/W1494233816","https://openalex.org/W2088620293","https://openalex.org/W2775947831","https://openalex.org/W3093833448","https://openalex.org/W2090026354","https://openalex.org/W2993303751","https://openalex.org/W2023161323","https://openalex.org/W2166704235","https://openalex.org/W2248558941","https://openalex.org/W2975554132","https://openalex.org/W2971121220","https://openalex.org/W2950104885","https://openalex.org/W3179316518","https://openalex.org/W3212511164","https://openalex.org/W2901370612","https://openalex.org/W2165489676"],"abstract_inverted_index":{"Increasing":[0],"number":[1],"of":[2,35,53,75,77,89,122,132,149],"sectors":[3],"which":[4,49],"affect":[5],"human":[6],"lives,":[7],"are":[8,28,50,72,84],"using":[9],"Machine":[10],"Learning":[11,90],"(ML)":[12],"tools.":[13],"Hence":[14],"the":[15,33,64,68,78,85,96,110,120,123,133,152],"need":[16],"for":[17,143],"understanding":[18],"their":[19,24],"working":[20],"mechanism":[21],"and":[22,66,80,102],"evaluating":[23],"fairness":[25],"in":[26,32,58,118,141],"decision-making,":[27],"becoming":[29],"paramount,":[30],"ushering":[31],"era":[34],"Explainable":[36],"AI":[37],"(XAI).":[38],"In":[39],"this":[40,144],"contribution":[41],"we":[42],"introduced":[43],"a":[44,99,103,127,157],"few":[45],"intrinsically":[46],"interpretable":[47],"models":[48,71],"also":[51,73],"capable":[52,74],"dealing":[54],"with":[55,146],"missing":[56],"values,":[57],"addition":[59],"to":[60,138],"extracting":[61],"knowledge":[62],"from":[63,109],"dataset":[65,101,108,125,153],"about":[67],"problem.":[69,129,160],"These":[70],"visualisation":[76],"classifier":[79],"decision":[81],"boundaries:":[82],"they":[83],"angle":[86],"based":[87],"variants":[88],"Vector":[91],"Quantization.":[92],"We":[93],"have":[94],"demonstrated":[95],"algorithms":[97],"on":[98],"synthetic":[100],"real-world":[104],"one":[105],"(heart":[106],"disease":[107],"UCI":[111,124],"repository).":[112],"The":[113,130],"newly":[114],"developed":[115,134],"classifiers":[116,135],"helped":[117],"investigating":[119],"complexities":[121],"as":[126,156],"multiclass":[128],"performance":[131],"were":[136],"comparable":[137],"those":[139],"reported":[140],"literature":[142],"dataset,":[145],"additional":[147],"value":[148],"interpretability,":[150],"when":[151],"was":[154],"treated":[155],"binary":[158],"class":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}