{"id":"https://openalex.org/W4401337481","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611823","title":"Automatic Context Selection in Explainable Support Vector Machine Classification","display_name":"Automatic Context Selection in Explainable Support Vector Machine Classification","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401337481","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611823"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10611823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01J3ZFMB2S6926B5TC2HTWGAXF/file/01J3ZFYK3DVZWEM1E131KRKTPS.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022130677","display_name":"Marcelo Loor","orcid":"https://orcid.org/0000-0002-4027-1628"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Marcelo Loor","raw_affiliation_strings":["Ghent University,Dept. of Telecommunications and Information Processing,Ghent,Belgium","Dept. of Telecommunications and Information Processing Ghent University Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University,Dept. of Telecommunications and Information Processing,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing Ghent University Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036892531","display_name":"Guy De Tr\u00e9","orcid":"https://orcid.org/0000-0002-1283-1915"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Guy De Tr\u00e9","raw_affiliation_strings":["Ghent University,Dept. of Telecommunications and Information Processing,Ghent,Belgium","Dept. of Telecommunications and Information Processing Ghent University Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University,Dept. of Telecommunications and Information Processing,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing Ghent University Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022130677"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65297894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9980999827384949,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9936000108718872,"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/support-vector-machine","display_name":"Support vector machine","score":0.76435387134552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162278890609741},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6866007447242737},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6201769113540649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814690589904785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46649739146232605}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.76435387134552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162278890609741},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6866007447242737},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6201769113540649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814690589904785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46649739146232605},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10611823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:01J3ZFMB2S6926B5TC2HTWGAXF","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01J3ZFMB2S6926B5TC2HTWGAXF","pdf_url":"https://biblio.ugent.be/publication/01J3ZFMB2S6926B5TC2HTWGAXF/file/01J3ZFYK3DVZWEM1E131KRKTPS.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9798350319545","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01J3ZFMB2S6926B5TC2HTWGAXF","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01J3ZFMB2S6926B5TC2HTWGAXF","pdf_url":"https://biblio.ugent.be/publication/01J3ZFMB2S6926B5TC2HTWGAXF/file/01J3ZFYK3DVZWEM1E131KRKTPS.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9798350319545","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401337481.pdf","grobid_xml":"https://content.openalex.org/works/W4401337481.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1968896562","https://openalex.org/W1980564456","https://openalex.org/W2156909104","https://openalex.org/W2577828152","https://openalex.org/W2888811422","https://openalex.org/W2962772482","https://openalex.org/W2963095307","https://openalex.org/W2972921608","https://openalex.org/W2981731882","https://openalex.org/W3033449190","https://openalex.org/W3089284549","https://openalex.org/W4211007335","https://openalex.org/W4254721730","https://openalex.org/W4295767865","https://openalex.org/W4386015450","https://openalex.org/W4389739628","https://openalex.org/W6756472171"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,77,114],"contextualization":[1],"of":[2,13,32,36,83,99,124,147],"knowledge":[3],"models":[4],"has":[5],"re-cently":[6],"been":[7],"proposed":[8,73,138],"for":[9,56,68,120],"improving":[10],"the":[11,26,30,34,37,60,88,102,107,111,122,125,129,137,143,148],"interpretability":[12,144],"predictions":[14,123],"made":[15],"by":[16],"explainable":[17],"support":[18],"vector":[19],"machine":[20],"classifiers.":[21],"An":[22],"advantage":[23,42,61],"attributed":[24],"to":[25,94,110,141],"improved":[27],"classifiers":[28],"is":[29,43,54,72,106,117],"capability":[31],"selecting":[33],"context":[35,53,70,93,105,116],"resulting":[38,149],"predictions.":[39,150],"However,":[40],"this":[41,75],"inapplicable":[44],"in":[45,63,74,87,128],"situations":[46],"where":[47],"a":[48,66,80],"data":[49,89,131],"set":[50,90],"with":[51,91],"unknown":[52,92,112],"provided":[55,130],"evaluation.":[57],"To":[58],"make":[59],"applicable":[62],"such":[64],"situations,":[65],"method":[67,78,139],"automatic":[69],"selection":[71],"paper.":[76],"uses":[79],"reduced":[81],"number":[82],"labeled":[84],"samples":[85],"contained":[86],"select,":[95],"from":[96],"an":[97],"arrangement":[98],"contextualized":[100],"models,":[101],"model":[103],"whose":[104],"most":[108],"similar":[109],"context.":[113],"selected":[115],"then":[118],"used":[119],"making":[121],"remaining":[126],"elements":[127],"set.":[132],"Illustrative":[133],"examples":[134],"show":[135],"how":[136],"helps":[140],"improve":[142],"and":[145],"accuracy":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
