{"id":"https://openalex.org/W4206359504","doi":"https://doi.org/10.1109/milcom52596.2021.9652987","title":"Quantifying Dataset Quality in Radio Frequency Machine Learning","display_name":"Quantifying Dataset Quality in Radio Frequency Machine Learning","publication_year":2021,"publication_date":"2021-11-29","ids":{"openalex":"https://openalex.org/W4206359504","doi":"https://doi.org/10.1109/milcom52596.2021.9652987"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom52596.2021.9652987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608114","display_name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5032056569","display_name":"William H. Clark","orcid":"https://orcid.org/0000-0001-9770-9398"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William H. Clark","raw_affiliation_strings":["Ted and Karyn Hume Center for National Security and Technology, Virginia Polytechnic Institute and State University"],"affiliations":[{"raw_affiliation_string":"Ted and Karyn Hume Center for National Security and Technology, Virginia Polytechnic Institute and State University","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011390669","display_name":"Alan J. Michaels","orcid":"https://orcid.org/0000-0003-2437-3410"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan J. Michaels","raw_affiliation_strings":["Ted and Karyn Hume Center for National Security and Technology, Virginia Polytechnic Institute and State University"],"affiliations":[{"raw_affiliation_string":"Ted and Karyn Hume Center for National Security and Technology, Virginia Polytechnic Institute and State University","institution_ids":["https://openalex.org/I859038795"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.407,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.542866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"389"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9995,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9995,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9912,"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/component","display_name":"Component (thermodynamics)","score":0.5768423},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.5742234},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.5605069},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43953824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260882},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6981015},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6869552},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.61375755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5992676},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5768423},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.5742234},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5605069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49057168},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43953824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09777731},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom52596.2021.9652987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608114","display_name":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1490756768","https://openalex.org/W1522301498","https://openalex.org/W2108598243","https://openalex.org/W2562146178","https://openalex.org/W2773170971","https://openalex.org/W2969403446","https://openalex.org/W3099878876","https://openalex.org/W3119097978","https://openalex.org/W3132417220","https://openalex.org/W3159579291","https://openalex.org/W3212602023","https://openalex.org/W4295312788"],"related_works":["https://openalex.org/W4361804730","https://openalex.org/W2964201926","https://openalex.org/W2752178021","https://openalex.org/W2334467465","https://openalex.org/W2162534555","https://openalex.org/W2143024819","https://openalex.org/W2142113611","https://openalex.org/W2087870008","https://openalex.org/W2045629210","https://openalex.org/W2018387840"],"abstract_inverted_index":{"Given":[0],"the":[1,11,14,18,28,35,42,67,86,89,100,107,112,116,153,162],"significance":[2],"of":[3,13,45,62,88,99,132,151,155],"data":[4,16,119],"within":[5,78],"machine":[6],"learning":[7],"systems,":[8],"quantifying":[9],"how":[10,81],"quality":[12,63,133],"available":[15,43],"affects":[17],"final":[19,165],"performance":[20,38,87,123],"is":[21,76],"a":[22,31,60,94,125,129,138],"vital":[23],"component":[24],"in":[25,124],"development.":[26],"Examining":[27],"relationship":[29,117],"between":[30,118],"dataset's":[32],"quantity":[33,120],"and":[34,52,80,97,121],"trained":[36,90],"system's":[37,164],"by":[39,106],"parametrically":[40],"varying":[41],"amount":[44],"data,":[46,156],"new":[47],"insights":[48],"can":[49],"be":[50,104],"learned":[51],"used":[53],"to":[54,69,114],"answer":[55],"questions":[56,71],"more":[57],"efficiently.":[58],"Having":[59],"metric":[61],"will":[64],"better":[65],"enable":[66],"developer":[68],"ask":[70],"about":[72],"what":[73],"one":[74],"dataset":[75],"considering":[77],"it":[79,82],"improves":[83],"or":[84,158],"hurts":[85],"network,":[91],"further":[92],"allowing":[93],"deeper":[95],"investigation":[96],"understanding":[98],"unknowns":[101],"that":[102,127],"must":[103],"considered":[105],"system.":[108],"This":[109],"work":[110],"establishes":[111],"approach":[113,145],"regress":[115],"system":[122],"way":[126],"enables":[128],"quantitative":[130],"comparison":[131],"for":[134,147],"different":[135],"datasets":[136],"against":[137],"known":[139],"good":[140],"test":[141],"set.":[142],"Further,":[143],"this":[144],"allows":[146],"an":[148],"impartial":[149],"means":[150],"comparing":[152],"value":[154],"generated":[157],"otherwise":[159],"acquired,":[160],"toward":[161],"end":[163],"performance.":[166]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4206359504","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-30T16:40:33.295883","created_date":"2022-01-26"}