{"id":"https://openalex.org/W2970431701","doi":"https://doi.org/10.2312/eurova.20191116","title":"Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling","display_name":"Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970431701","doi":"https://doi.org/10.2312/eurova.20191116","mag":"2970431701"},"language":"en","primary_location":{"id":"doi:10.2312/eurova.20191116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20191116","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-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurova.20191116","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078086722","display_name":"J\u00fcrgen Bernard","orcid":"https://orcid.org/0000-0001-8741-9709"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bernard, J\u00fcrgen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883524","display_name":"Marco Hutter","orcid":"https://orcid.org/0000-0001-9049-534X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hutter, Marco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103224528","display_name":"Christian Ritter","orcid":"https://orcid.org/0000-0002-1720-6983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ritter, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052091558","display_name":"Markus Lehmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lehmann, Markus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037110552","display_name":"Michael Sedlmair","orcid":"https://orcid.org/0000-0001-7048-9292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sedlmair, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060926433","display_name":"Matthias Zeppelzauer","orcid":"https://orcid.org/0000-0003-0413-4746"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeppelzauer, Matthias","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078086722"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4351,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70859504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8597000241279602,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8597000241279602,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5377068519592285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5312290787696838},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.5266982316970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4193669557571411}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5377068519592285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312290787696838},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.5266982316970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4193669557571411},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/eurova.20191116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20191116","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-journal"},{"id":"mag:2970431701","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/vissym/va2019.html#BernardHRLSZ19","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/eurova.20191116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20191116","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-journal"},"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/W2949156969","https://openalex.org/W2798311776","https://openalex.org/W2089623033","https://openalex.org/W2103666701","https://openalex.org/W2970983873","https://openalex.org/W1582392998","https://openalex.org/W1988683269","https://openalex.org/W100121431","https://openalex.org/W2788209784","https://openalex.org/W1270315594","https://openalex.org/W3009446211","https://openalex.org/W3081310337","https://openalex.org/W2198926480"],"abstract_inverted_index":{"Manually":[0],"labeling":[1,75,100],"data":[2],"sets":[3],"is":[4],"a":[5,54],"time-consuming":[6],"and":[7,18,59,77,83,95],"expensive":[8],"task":[9],"that":[10],"can":[11],"be":[12],"accelerated":[13],"by":[14],"interactive":[15],"machine":[16],"learning":[17],"visual":[19,64],"analytics":[20],"approaches.":[21],"At":[22],"the":[23,31,63,91],"core":[24],"of":[25,33,56,66,93,98],"these":[26],"approaches":[27],"are":[28],"strategies":[29,76,101],"for":[30,62],"selection":[32,50],"candidate":[34,49],"instances":[35],"to":[36,47],"label.":[37],"We":[38,52],"introduce":[39,53],"degree-of-interest":[40],"(DOI)":[41],"functions":[42,58],"as":[43],"atomic":[44],"building":[45],"blocks":[46],"formalize":[48],"strategies.":[51],"taxonomy":[55],"DOI":[57,67],"an":[60],"approach":[61],"analysis":[65,82],"functions,":[68],"which":[69],"provide":[70],"novel":[71,94],"complementary":[72],"views":[73],"on":[74],"DOIs,":[78],"support":[79,90],"their":[80,85],"in-depth":[81],"facilitate":[84],"interpretation.":[86],"Our":[87],"method":[88],"shall":[89],"generation":[92],"better":[96],"explanation":[97],"existing":[99],"in":[102],"future.":[103]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
