{"id":"https://openalex.org/W4407218037","doi":"https://doi.org/10.1007/s10994-024-06643-7","title":"Interpretable optimisation-based approach for hyper-box classification","display_name":"Interpretable optimisation-based approach for hyper-box classification","publication_year":2025,"publication_date":"2025-02-06","ids":{"openalex":"https://openalex.org/W4407218037","doi":"https://doi.org/10.1007/s10994-024-06643-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/40017483"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-024-06643-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06643-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06643-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06643-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078718890","display_name":"Georgios Liapis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Georgios I. Liapis","raw_affiliation_strings":["The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE UK","The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE, UK"],"affiliations":[{"raw_affiliation_string":"The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]},{"raw_affiliation_string":"The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076507299","display_name":"Sophia Tsoka","orcid":"https://orcid.org/0000-0001-8403-1282"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia Tsoka","raw_affiliation_strings":["Department of Informatics, King's College London, Bush House, London, WC2B 4BG UK","Department of Informatics, King's College London, Bush House, London, WC2B 4BG, UK"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, King's College London, Bush House, London, WC2B 4BG UK","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Informatics, King's College London, Bush House, London, WC2B 4BG, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016031545","display_name":"Lazaros G. Papageorgiou","orcid":"https://orcid.org/0000-0003-4652-6086"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lazaros G. Papageorgiou","raw_affiliation_strings":["The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE UK","The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE, UK"],"affiliations":[{"raw_affiliation_string":"The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]},{"raw_affiliation_string":"The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London, WC1E 7JE, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078718890"],"corresponding_institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":9.3726,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97182744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"114","issue":"3","first_page":"51","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9941999912261963,"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":0.9522578716278076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7239453196525574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667246222496033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6230774521827698},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5963491201400757},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4704429507255554},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.46801650524139404},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4465663731098175},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4200814366340637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3666052520275116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2707085609436035},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22175955772399902}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9522578716278076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7239453196525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667246222496033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230774521827698},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5963491201400757},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4704429507255554},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.46801650524139404},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4465663731098175},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4200814366340637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3666052520275116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2707085609436035},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22175955772399902},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10994-024-06643-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06643-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06643-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmid:40017483","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40017483","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine learning","raw_type":null},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/2bd52938-5259-4afa-99f7-de3e1d307744","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/2bd52938-5259-4afa-99f7-de3e1d307744","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Liapis, G, Tsoka, S & Papageorgiou, L 2025, 'Interpretable optimisation-based approach for hyper-box classification', MACHINE LEARNING, vol. 114, 51. https://doi.org/10.1007/s10994-024-06643-7","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pubmedcentral.nih.gov:11861270","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11861270","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11861270/pdf/10994_2024_Article_6643.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mach Learn","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10994-024-06643-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06643-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06643-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1797604615","display_name":"AIOLOS: Artificial Intelligence powered framework for OnLine prOduction Scheduling","funder_award_id":"EP/V051008/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3354441581","display_name":null,"funder_award_id":"006/R/22","funder_id":"https://openalex.org/F4320320013","funder_display_name":"British Skin Foundation"},{"id":"https://openalex.org/G5940285182","display_name":null,"funder_award_id":"EP/V051008/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320013","display_name":"British Skin Foundation","ror":"https://ror.org/02h7g2017"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407218037.pdf","grobid_xml":"https://content.openalex.org/works/W4407218037.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1074954902","https://openalex.org/W1567313600","https://openalex.org/W1670263352","https://openalex.org/W1833977909","https://openalex.org/W1877450033","https://openalex.org/W1964357740","https://openalex.org/W1966275527","https://openalex.org/W1966658720","https://openalex.org/W1969476474","https://openalex.org/W1973521730","https://openalex.org/W1978381836","https://openalex.org/W1981472734","https://openalex.org/W1996894903","https://openalex.org/W2007187232","https://openalex.org/W2010166635","https://openalex.org/W2018175901","https://openalex.org/W2020930649","https://openalex.org/W2026905436","https://openalex.org/W2029097756","https://openalex.org/W2047619977","https://openalex.org/W2050801860","https://openalex.org/W2093001822","https://openalex.org/W2101234009","https://openalex.org/W2102815061","https://openalex.org/W2118022153","https://openalex.org/W2123160547","https://openalex.org/W2133218851","https://openalex.org/W2136478625","https://openalex.org/W2138061404","https://openalex.org/W2164878629","https://openalex.org/W2311812978","https://openalex.org/W2367397349","https://openalex.org/W2428981601","https://openalex.org/W2604736517","https://openalex.org/W2792488536","https://openalex.org/W2897335315","https://openalex.org/W2901120714","https://openalex.org/W2904239671","https://openalex.org/W2911964244","https://openalex.org/W2944269451","https://openalex.org/W2949776922","https://openalex.org/W2963351303","https://openalex.org/W2972137370","https://openalex.org/W2996305695","https://openalex.org/W2997135694","https://openalex.org/W3003257820","https://openalex.org/W3013899790","https://openalex.org/W3022244144","https://openalex.org/W3037448761","https://openalex.org/W3047096399","https://openalex.org/W3108055564","https://openalex.org/W3121410165","https://openalex.org/W3124792046","https://openalex.org/W3125440638","https://openalex.org/W3134775179","https://openalex.org/W3168756258","https://openalex.org/W3170107550","https://openalex.org/W3208154528","https://openalex.org/W3212856732","https://openalex.org/W4200315417","https://openalex.org/W4205562341","https://openalex.org/W4205943930","https://openalex.org/W4234760406","https://openalex.org/W4236137412","https://openalex.org/W4242001932","https://openalex.org/W4249817346","https://openalex.org/W4293523269","https://openalex.org/W4297957988","https://openalex.org/W4298304654","https://openalex.org/W4317798210","https://openalex.org/W4317935274","https://openalex.org/W4376870972","https://openalex.org/W4387673346","https://openalex.org/W4387917851","https://openalex.org/W6611762666","https://openalex.org/W6628633436"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2346578521","https://openalex.org/W4297660007","https://openalex.org/W4377704659","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W2943982549","https://openalex.org/W3101055019","https://openalex.org/W2910028250","https://openalex.org/W4241566321"],"abstract_inverted_index":{"Data":[0],"classification":[1,52,112],"is":[2,44,107,154],"considered":[3],"a":[4,38,79,87,114,148],"fundamental":[5],"research":[6],"subject":[7],"within":[8],"the":[9,15,35,76,95,119,133,136,141,157],"machine":[10,18,39],"learning":[11,19,40],"community.":[12],"Researchers":[13],"seek":[14],"improvement":[16],"of":[17,70,78,121,128,135,140,150,169],"algorithms":[20,29,53,67],"in":[21,68,132,167],"not":[22],"only":[23],"accuracy,":[24],"but":[25],"also":[26],"interpretability.":[27,74,100,146],"Interpretable":[28],"allow":[30],"humans":[31],"to":[32,59,62,164],"easily":[33],"understand":[34],"decisions":[36],"that":[37,156],"model":[41,93],"makes,":[42],"which":[43],"challenging":[45],"for":[46,109,144],"black":[47],"box":[48],"models.":[49],"Mathematical":[50],"programming-based":[51],"have":[54],"attracted":[55],"considerable":[56],"attention":[57],"due":[58],"their":[60],"ability":[61],"effectively":[63],"compete":[64],"with":[65],"leading-edge":[66],"terms":[69,168],"both":[71],"accuracy":[72,98,171],"and":[73,94,99,138,172],"Meanwhile,":[75],"training":[77],"hyper-box":[80,115],"classifier":[81],"can":[82],"be":[83],"mathematically":[84],"formulated":[85],"as":[86],"Mixed":[88],"Integer":[89],"Linear":[90],"Programming":[91],"(MILP)":[92],"predictions":[96],"combine":[97],"In":[101],"this":[102],"work,":[103],"an":[104],"optimisation-based":[105],"approach":[106,130],"proposed":[108],"multi-class":[110],"data":[111],"using":[113],"representation,":[116],"thus":[117],"facilitating":[118],"extraction":[120],"compact":[122],"IF-THEN":[123],"rules.":[124],"The":[125],"key":[126],"novelty":[127],"our":[129],"lies":[131],"minimisation":[134],"number":[137,149],"length":[139],"generated":[142],"rules":[143],"enhanced":[145],"Through":[147],"real-world":[151],"datasets,":[152],"it":[153],"demonstrated":[155],"algorithm":[158],"exhibits":[159],"favorable":[160],"performance":[161],"when":[162],"compared":[163],"well-known":[165],"alternatives":[166],"prediction":[170],"rule":[173],"set":[174],"simplicity.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}