{"id":"https://openalex.org/W3184916175","doi":"https://doi.org/10.23919/date51398.2021.9473934","title":"Paired Training Framework for Time-Constrained Learning","display_name":"Paired Training Framework for Time-Constrained Learning","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3184916175","doi":"https://doi.org/10.23919/date51398.2021.9473934","mag":"3184916175"},"language":"en","primary_location":{"id":"doi:10.23919/date51398.2021.9473934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9473934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/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":false,"raw_author_name":"Jung-Eun Kim","raw_affiliation_strings":["Computer Science Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Commercial Avionics Engineering Collins Aerospace, Cedar Rapids, IA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051690746","display_name":"Max Del Giudice","orcid":null},"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":"Max Del Giudice","raw_affiliation_strings":["Computer Science Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"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"],"raw_orcid":null,"affiliations":[{"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08516632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"591","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9926000237464905,"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":0.8503636121749878},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7664403319358826},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5074173808097839},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.48793742060661316},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4879297912120819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4841397702693939},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4740302860736847},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.46363896131515503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43988269567489624},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39649003744125366},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09581306576728821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8503636121749878},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7664403319358826},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5074173808097839},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.48793742060661316},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4879297912120819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4841397702693939},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4740302860736847},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.46363896131515503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43988269567489624},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39649003744125366},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09581306576728821},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date51398.2021.9473934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9473934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6299202374","display_name":null,"funder_award_id":"1945541,1763399,1521523","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1508405818","https://openalex.org/W1934184906","https://openalex.org/W2056370875","https://openalex.org/W2067713319","https://openalex.org/W2098477387","https://openalex.org/W2146337213","https://openalex.org/W2160547390","https://openalex.org/W2164448820","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2265846598","https://openalex.org/W2324298973","https://openalex.org/W2342840547","https://openalex.org/W2490438847","https://openalex.org/W2536310615","https://openalex.org/W2553397501","https://openalex.org/W2749896549","https://openalex.org/W2750814024","https://openalex.org/W2799120945","https://openalex.org/W2952436057","https://openalex.org/W2963470893","https://openalex.org/W2964159249","https://openalex.org/W3036742923","https://openalex.org/W3118608800","https://openalex.org/W6628877408","https://openalex.org/W6674855086","https://openalex.org/W6681686951","https://openalex.org/W6704559304","https://openalex.org/W6727340567","https://openalex.org/W6743485176","https://openalex.org/W6764398373","https://openalex.org/W6780644267","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"This":[0,45],"paper":[1],"presents":[2],"a":[3,21,50],"design":[4,51],"framework":[5,52],"for":[6,62,66],"machine":[7],"learning":[8,59],"applications":[9],"that":[10],"operate":[11,84],"in":[12,53,85],"systems":[13,17],"such":[14],"as":[15,36,41],"cyber-physical":[16],"where":[18],"time":[19,30,42],"is":[20],"scarce":[22],"resource.":[23],"We":[24,71],"manage":[25],"the":[26,67],"tradeoff":[27],"between":[28],"processing":[29],"and":[31,64,80],"solution":[32],"quality":[33],"by":[34],"performing":[35],"much":[37],"preprocessing":[38,63],"of":[39],"data":[40],"will":[43],"allow.":[44],"approach":[46],"leads":[47],"us":[48],"to":[49,89],"which":[54],"there":[55],"are":[56],"two":[57],"separate":[58],"networks:":[60],"one":[61,65],"core":[68],"application":[69],"functionality.":[70],"show":[72],"how":[73,81],"these":[74],"networks":[75],"can":[76,83],"be":[77],"trained":[78],"together":[79],"they":[82],"an":[86],"anytime":[87],"fashion":[88],"optimize":[90],"performance.":[91]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}