{"id":"https://openalex.org/W3036344808","doi":"https://doi.org/10.23919/date48585.2020.9116479","title":"ABC: Abstract prediction Before Concreteness","display_name":"ABC: Abstract prediction Before Concreteness","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3036344808","doi":"https://doi.org/10.23919/date48585.2020.9116479","mag":"3036344808"},"language":"en","primary_location":{"id":"doi:10.23919/date48585.2020.9116479","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"article","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/A5100452988","display_name":"Jung-Eun Kim","orcid":"https://orcid.org/0000-0001-9780-2947"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jung-Eun Kim","raw_affiliation_strings":["Computer Science Yale University,New Haven,CT,USA","Computer Science Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Yale University,New Haven,CT,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Computer Science Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090265330","display_name":"Richard Bradford","orcid":"https://orcid.org/0000-0002-0869-9894"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard Bradford","raw_affiliation_strings":["Commercial Avionics Engineering Collins Aerospace,Cedar Rapids,IA,USA","Commercial Avionics Engineering Collins Aerospace, Cedar Rapids, IA, USA"],"affiliations":[{"raw_affiliation_string":"Commercial Avionics Engineering Collins Aerospace,Cedar Rapids,IA,USA","institution_ids":[]},{"raw_affiliation_string":"Commercial Avionics Engineering Collins Aerospace, Cedar Rapids, IA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068072324","display_name":"Man-Ki Yoon","orcid":"https://orcid.org/0000-0001-7181-1730"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Man-Ki Yoon","raw_affiliation_strings":["Computer Science Yale University,New Haven,CT,USA","Computer Science Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Yale University,New Haven,CT,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Computer Science Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070627140","display_name":"Zhong Shao","orcid":"https://orcid.org/0000-0001-8184-7649"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Shao","raw_affiliation_strings":["Computer Science Yale University,New Haven,CT,USA","Computer Science Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Yale University,New Haven,CT,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Computer Science Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100452988"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.3931,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61405871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1103","last_page":"1108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8408498764038086},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7603869438171387},{"id":"https://openalex.org/keywords/concreteness","display_name":"Concreteness","score":0.6708991527557373},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6101748943328857},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5899279117584229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5408412218093872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5042701959609985},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.45081645250320435},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4462588131427765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8408498764038086},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7603869438171387},{"id":"https://openalex.org/C2778436841","wikidata":"https://www.wikidata.org/wiki/Q5159081","display_name":"Concreteness","level":2,"score":0.6708991527557373},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6101748943328857},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5899279117584229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408412218093872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5042701959609985},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.45081645250320435},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4462588131427765},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date48585.2020.9116479","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1968913370","https://openalex.org/W2010132303","https://openalex.org/W2067713319","https://openalex.org/W2133564696","https://openalex.org/W2141399712","https://openalex.org/W2154071538","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2541674938","https://openalex.org/W2549139847","https://openalex.org/W2561907692","https://openalex.org/W2739542029","https://openalex.org/W2756815061","https://openalex.org/W2765720631","https://openalex.org/W2772752821","https://openalex.org/W2787358858","https://openalex.org/W2797993462","https://openalex.org/W2950178297","https://openalex.org/W2962677625","https://openalex.org/W2962835968","https://openalex.org/W2962860144","https://openalex.org/W2962944050","https://openalex.org/W2963000077","https://openalex.org/W2963410064","https://openalex.org/W2964062240","https://openalex.org/W2964118469","https://openalex.org/W2964308564","https://openalex.org/W3118608800","https://openalex.org/W4297786033","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6679434410","https://openalex.org/W6680834391","https://openalex.org/W6684191040","https://openalex.org/W6729059855","https://openalex.org/W6730741096","https://openalex.org/W6741753902","https://openalex.org/W6744458466","https://openalex.org/W6748079257","https://openalex.org/W6750998746","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2954165040","https://openalex.org/W2181274975","https://openalex.org/W2361478537","https://openalex.org/W4383681101","https://openalex.org/W3017620082","https://openalex.org/W4390976331","https://openalex.org/W4255280684","https://openalex.org/W2403482502","https://openalex.org/W4285209254","https://openalex.org/W3036679083"],"abstract_inverted_index":{"Learning":[0],"techniques":[1],"are":[2,26,73],"advancing":[3],"the":[4,13,71,80,86,91,98],"utility":[5],"and":[6,43,101,115,122],"capability":[7],"of":[8,15,106],"modern":[9],"embedded":[10,20,130],"systems.":[11],"However,":[12],"challenge":[14],"incorporating":[16],"learning":[17,39,44],"modules":[18],"into":[19],"systems":[21],"is":[22],"that":[23],"computing":[24,131],"resources":[25],"scarce.":[27],"For":[28],"such":[29],"a":[30,36,68],"resource-constrained":[31],"environment,":[32],"we":[33],"have":[34],"developed":[35],"framework":[37,66,81,111],"for":[38,58],"abstract":[40,88],"information":[41],"early":[42,59],"more":[45],"concretely":[46],"as":[47,61,133],"time":[48],"allows.":[49],"The":[50],"intermediate":[51,83],"results":[52],"can":[53],"be":[54],"utilized":[55],"to":[56,67,90],"prepare":[57],"decisions/actions":[60],"needed.":[62],"To":[63],"apply":[64],"this":[65],"classification":[69],"task,":[70],"datasets":[72,119],"categorized":[74],"in":[75,104],"an":[76],"abstraction":[77],"hierarchy.":[78],"Then":[79],"classifies":[82],"labels":[84],"from":[85],"most":[87,92],"level":[89],"concrete.":[93],"Our":[94],"proposed":[95],"method":[96],"outperforms":[97],"existing":[99],"approaches":[100],"reference":[102],"baselines":[103],"terms":[105],"accuracy.":[107],"We":[108,124],"show":[109],"our":[110],"with":[112],"different":[113],"architectures":[114],"on":[116,128],"various":[117],"benchmark":[118],"CIFAR-10,":[120],"CIFAR-100,":[121],"GTSRB.":[123],"measure":[125],"prediction":[126],"times":[127],"GPUequipped":[129],"platforms":[132],"well.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
