{"id":"https://openalex.org/W2540488895","doi":"https://doi.org/10.1109/etfa.2014.7005106","title":"Combinatorial refinement of feature weighting for linear classification","display_name":"Combinatorial refinement of feature weighting for linear classification","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2540488895","doi":"https://doi.org/10.1109/etfa.2014.7005106","mag":"2540488895"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2014.7005106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2014.7005106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036334927","display_name":"Helene D\u00f6rksen","orcid":null},"institutions":[{"id":"https://openalex.org/I5209920","display_name":"Ostwestfalen-Lippe University of Applied Sciences and Arts","ror":"https://ror.org/04eka8j06","country_code":"DE","type":"education","lineage":["https://openalex.org/I5209920"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Helene Dorksen","raw_affiliation_strings":["inIT - Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"inIT - Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo, Germany","institution_ids":["https://openalex.org/I5209920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003230577","display_name":"Volker Lohweg","orcid":"https://orcid.org/0000-0002-3325-7887"},"institutions":[{"id":"https://openalex.org/I5209920","display_name":"Ostwestfalen-Lippe University of Applied Sciences and Arts","ror":"https://ror.org/04eka8j06","country_code":"DE","type":"education","lineage":["https://openalex.org/I5209920"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Lohweg","raw_affiliation_strings":["inIT - Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"inIT - Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo, Germany","institution_ids":["https://openalex.org/I5209920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5209920"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9980000257492065,"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":0.9973999857902527,"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/weighting","display_name":"Weighting","score":0.8066695928573608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530966758728027},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6521786451339722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6045445799827576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5281631350517273},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4392140805721283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34835609793663025},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05581662058830261}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8066695928573608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530966758728027},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6521786451339722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6045445799827576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5281631350517273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4392140805721283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34835609793663025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05581662058830261},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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":1,"locations":[{"id":"doi:10.1109/etfa.2014.7005106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2014.7005106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W53188351","https://openalex.org/W1546928902","https://openalex.org/W1558748187","https://openalex.org/W1560724230","https://openalex.org/W1663973292","https://openalex.org/W1827261456","https://openalex.org/W1922017469","https://openalex.org/W1974387440","https://openalex.org/W1989344766","https://openalex.org/W2001619934","https://openalex.org/W2017337590","https://openalex.org/W2033918639","https://openalex.org/W2040884411","https://openalex.org/W2093717447","https://openalex.org/W2098475626","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2124868070","https://openalex.org/W2140390894","https://openalex.org/W2158275940","https://openalex.org/W2167277498","https://openalex.org/W2487087946","https://openalex.org/W2504658994","https://openalex.org/W2751318774","https://openalex.org/W2766504023","https://openalex.org/W2799061466","https://openalex.org/W2976840617","https://openalex.org/W3004732066","https://openalex.org/W3035630051","https://openalex.org/W3120740533","https://openalex.org/W3166428811","https://openalex.org/W4205699531","https://openalex.org/W4206070770","https://openalex.org/W4302161581","https://openalex.org/W6632608627","https://openalex.org/W6676769703","https://openalex.org/W6779330718","https://openalex.org/W6991957103","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2283145973","https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2151520854","https://openalex.org/W2811390910"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,55,104,110],"new":[3],"approach":[4,34],"for":[5,17,83],"linear":[6],"classification":[7],"optimisation":[8],"based":[9],"on":[10,75],"Combinatorial":[11],"Refinement":[12],"(ComRef)":[13],"of":[14,40,62,73,94,113],"feature":[15,64],"weighting":[16],"cognitive":[18],"signal":[19],"processing":[20],"in":[21,27],"resource-limited":[22],"hardware":[23],"and":[24,44,52],"software":[25],"like":[26,46],"Cyber-physical":[28],"systems.":[29],"Despite":[30],"simple":[31],"construction,":[32],"the":[33,71,79,92],"is":[35,107],"able":[36],"to":[37,54,117],"connect":[38],"advantages":[39],"dimensionality":[41],"reduction":[42],"methods":[43],"such":[45],"combining":[47],"multiple":[48],"classifiers":[49],"resp.":[50],"Bag-of-classifiers-approaches":[51],"leads":[53],"good":[56],"generalisation":[57,67],"ability":[58],"even":[59],"by":[60],"use":[61],"small":[63,111],"sets.":[65],"Regarding":[66],"ability,":[68],"we":[69,90],"benchmark":[70],"performance":[72],"ComRef":[74,95],"several":[76],"datasets":[77],"from":[78],"UCI":[80],"repository.":[81],"Furthermore,":[82],"an":[84],"industrial":[85],"dataset":[86],"Motor":[87],"Drive":[88],"Diagnosis":[89],"show":[91],"advantage":[93],"which":[96],"uses":[97],"Support-Vector-Machines":[98],"(SVM).":[99],"In":[100],"this":[101],"application":[102],"scenario,":[103],"trustful":[105],"classifier":[106],"essential,":[108],"since":[109],"number":[112],"mis-classifications":[114],"could":[115],"lead":[116],"motor":[118],"damages.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
