{"id":"https://openalex.org/W6945392761","doi":"https://doi.org/10.2312/sbm/sbm10/079-086","title":"The Power of Automatic Feature Selection: Rubine on Steroids","display_name":"The Power of Automatic Feature Selection: Rubine on Steroids","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W6945392761","doi":"https://doi.org/10.2312/sbm/sbm10/079-086"},"language":"en","primary_location":{"id":"doi:10.2312/sbm/sbm10/079-086","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sbm/sbm10/079-086","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/sbm/sbm10/079-086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Blagojevic, Rachel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Blagojevic, Rachel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chang, Samuel Hsiao-Heng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Samuel Hsiao-Heng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Plimmer, Beryl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Plimmer, Beryl","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6941999793052673},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6777999997138977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6373999714851379},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.554099977016449},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46000000834465027},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436000108718872},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6941999793052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880000233650208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6777999997138977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6373999714851379},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40380001068115234},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/sbm/sbm10/079-086","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sbm/sbm10/079-086","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"}],"best_oa_location":{"id":"doi:10.2312/sbm/sbm10/079-086","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sbm/sbm10/079-086","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6518868207931519}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Digital":[0],"ink":[1,34,40],"features":[2,11,25,35,67,92,106,121,126,191],"drive":[3],"recognition":[4,30,129,176,199],"engines.":[5],"Intuitively,":[6],"we":[7],"understand":[8],"that":[9,49,116,170,186],"particular":[10],"are":[12,51,107],"of":[13,23,63,101,119,136,144,190],"more":[14,134],"value":[15],"for":[16,39,46,93,148,192],"some":[17],"problems":[18],"than":[19],"others.":[20],"Likewise,":[21],"inclusion":[22],"poor":[24,125],"may":[26],"be":[27,69],"detrimental":[28],"to":[29,88,109,198],"success.":[31,200],"Many":[32],"different":[33,150],"have":[36,73,140],"been":[37],"proposed":[38],"recognition,":[41],"and":[42,75,81,152,165],"most":[43,70,123],"work":[44],"well":[45],"the":[47,64,90,99,104,156,187],"context":[48],"they":[50],"employed.":[52],"However":[53],"given":[54],"a":[55,77,94,111,117,142,145,160,193],"new":[56],"problem":[57,194],"it":[58],"is":[59,122,195],"not":[60],"clear":[61],"which":[62],"already":[65],"defined":[66],"will":[68],"useful.":[71],"We":[72,114,139],"assembled":[74],"categorized":[76],"comprehensive":[78],"feature":[79,171],"library":[80],"use":[82],"this":[83,102,163,179],"with":[84,155,178],"attribute":[85],"selection":[86,172],"algorithms":[87],"choose":[89],"best":[91],"specified":[95],"problem.":[96],"To":[97],"verify":[98],"effectiveness":[100],"approach":[103],"selected":[105],"used":[108],"train":[110],"Rubine's":[112,157],"recognizer.":[113],"show":[115,169],"set":[118],"complementary":[120],"effective:":[124],"adversely":[127],"affect":[128],"as":[130],"do":[131],"two":[132],"or":[133],"aliases":[135],"good":[137],"features.":[138],"composed":[141],"variant":[143,161],"Rubine":[146],"recognizer":[147],"3":[149],"datasets":[151],"compared":[153],"these":[154],"original":[158],"features,":[159],"on":[162],"InkRubine":[164],"$1.":[166],"The":[167],"results":[168],"can":[173],"significantly":[174],"improve":[175],"rates":[177],"simple":[180],"algorithm":[181],"thus":[182],"verifying":[183],"our":[184],"hypothesis":[185],"right":[188],"combination":[189],"one":[196],"key":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}