{"id":"https://openalex.org/W4407777646","doi":"https://doi.org/10.3233/978-1-61499-421-3-220","title":"Multi-objective learning of accurate and comprehensible classifiers – A case study","display_name":"Multi-objective learning of accurate and comprehensible classifiers – A case study","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W4407777646","doi":"https://doi.org/10.3233/978-1-61499-421-3-220"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-421-3-220","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-421-3-220","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116344484","display_name":"Piltaver Rok","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Piltaver Rok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116326585","display_name":"Lu scaron trek Mitja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luštrek Mitja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116326588","display_name":"Gams Matja zcaron","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gams Matjaž","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116344484"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50846822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.09229999780654907,"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":0.09229999780654907,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.08139999955892563,"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":0.4685173034667969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45371565222740173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4685173034667969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45371565222740173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-421-3-220","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-421-3-220","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accuracy":[0],"and":[1,49,74,111],"comprehensibility":[2],"are":[3,10,116],"two":[4],"important":[5],"classifier":[6,48,73],"properties,":[7],"however":[8],"they":[9],"typically":[11],"conflicting.":[12],"Research":[13],"in":[14,52,100],"the":[15,31,65,109,114,124],"past":[16],"years":[17],"has":[18],"shown":[19],"that":[20,42],"Pareto-based":[21],"multi-objective":[22,94],"approach":[23],"for":[24,93,108],"solving":[25],"this":[26],"problem":[27],"is":[28],"preferred":[29],"to":[30,54,77],"traditional":[32],"single-objective":[33],"approach.":[34],"Multi-objective":[35],"learning":[36,95],"can":[37],"be":[38],"represented":[39],"as":[40],"search":[41],"starts":[43,69],"either":[44],"from":[45,62,70,123],"an":[46],"accurate":[47,80],"modifies":[50,75],"it":[51,76],"order":[53],"produce":[55,78],"more":[56,79],"comprehensible":[57,72],"classifiers":[58],"(e.g.":[59],"extracting":[60],"rules":[61],"ANNs)":[63],"or":[64],"other":[66],"way":[67],"around:":[68],"a":[71,85,90,119],"classifiers.":[81],"This":[82],"paper":[83],"presents":[84],"case":[86],"study":[87],"of":[88,96,106,113,121],"applying":[89],"recent":[91],"algorithm":[92,115],"hybrid":[97],"trees":[98],"MOLHC":[99,107],"human":[101],"activity":[102],"recognition":[103],"domain.":[104],"Advantages":[105],"user":[110],"limitations":[112],"discussed":[117],"on":[118],"number":[120],"datasets":[122],"UCI":[125],"repository.":[126]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}