{"id":"https://openalex.org/W4402978753","doi":"https://doi.org/10.1109/mim.2024.10700740","title":"Uncertainty as a Predictor of Classification Accuracy in Machine Learning-Assisted Measurements [Measurement Methodology]","display_name":"Uncertainty as a Predictor of Classification Accuracy in Machine Learning-Assisted Measurements [Measurement Methodology]","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4402978753","doi":"https://doi.org/10.1109/mim.2024.10700740"},"language":"en","primary_location":{"id":"doi:10.1109/mim.2024.10700740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mim.2024.10700740","pdf_url":null,"source":{"id":"https://openalex.org/S121167460","display_name":"IEEE Instrumentation & Measurement Magazine","issn_l":"1094-6969","issn":["1094-6969","1941-0123"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Instrumentation &amp; Measurement Magazine","raw_type":"journal-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/A5044422170","display_name":"Shervin Shirmohammadi","orcid":"https://orcid.org/0000-0002-3973-4445"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shervin Shirmohammadi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107654658","display_name":"Mohammad Hadi Amiri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Hadi Amiri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103024861","display_name":"Hussein Osman","orcid":"https://orcid.org/0000-0003-1551-6977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussein Al Osman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044422170"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.432,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92910145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"7","first_page":"37","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.15070000290870667,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.15070000290870667,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11423","display_name":"Pesticide Residue Analysis and Safety","score":0.030500000342726707,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.011099999770522118,"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":0.4704042077064514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4704042077064514}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mim.2024.10700740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mim.2024.10700740","pdf_url":null,"source":{"id":"https://openalex.org/S121167460","display_name":"IEEE Instrumentation & Measurement Magazine","issn_l":"1094-6969","issn":["1094-6969","1941-0123"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Instrumentation &amp; Measurement Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969557815","https://openalex.org/W1977017134","https://openalex.org/W2002055708","https://openalex.org/W2097117768","https://openalex.org/W2338355756","https://openalex.org/W2790952646","https://openalex.org/W2894305195","https://openalex.org/W2974040794","https://openalex.org/W2994890101","https://openalex.org/W3015677584","https://openalex.org/W3093446992","https://openalex.org/W3093568609","https://openalex.org/W3152567630","https://openalex.org/W3164791059","https://openalex.org/W4308149258","https://openalex.org/W4318769218","https://openalex.org/W4386352986","https://openalex.org/W6739651123","https://openalex.org/W6743688258","https://openalex.org/W6781649341"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Like":[0,42],"other":[1],"sectors":[2],"of":[3,20,58,71],"the":[4,11,17,56,78,85,97,111,120,141,146,152],"industry,":[5],"instrumentation":[6],"and":[7,95,108,115,148],"measurement":[8,47,101],"(I&M)":[9],"in":[10,24,38,40,99,119,149],"past":[12],"few":[13],"years":[14],"has":[15],"witnessed":[16],"significant":[18],"rise":[19],"Machine":[21],"Learning":[22],"(ML)":[23],"its":[25,52,65,81],"domain":[26],"[1].":[27],"In":[28,54],"I&M,":[29],"ML":[30,132],"is":[31,73,103,113,125],"used":[32],"for":[33,87,105],"indirect":[34],"measurement,":[35],"as":[36],"explained":[37],"detail":[39],"[2].":[41],"all":[43],"measurements,":[44],"an":[45],"ML-assisted":[46,100],"also":[48],"needs":[49],"to":[50,64,83],"quantify":[51],"uncertainty.":[53],"fact,":[55],"uncertainty":[57,86,98,142,147],"ML's":[59],"inference":[60],"can":[61,116],"be":[62,117,134],"correlated":[63],"classification":[66,153],"accuracy":[67],"[3].":[68],"The":[69],"impact":[70],"this":[72],"significant,":[74],"because":[75],"it":[76],"enables":[77],"system":[79,112],"or":[80],"operator":[82],"use":[84],"catching":[88],"less-trustworthy":[89],"measurements.":[90],"As":[91],"such,":[92],"quantifying,":[93],"communicating,":[94],"mitigating":[96],"systems":[102],"crucial":[104],"risk":[106],"management":[107],"ensuring":[109],"that":[110,131,139],"trustworthy":[114],"deployed":[118],"real":[121],"world":[122],"[4].":[123],"This":[124],"why":[126],"recent":[127],"works":[128],"have":[129],"proposed":[130],"models":[133],"trained":[135],"with":[136],"loss":[137],"functions":[138],"include":[140],"[5],":[143],"thereby":[144],"minimizing":[145],"turn":[150],"increasing":[151],"accuracy.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2024-10-01T00:00:00"}
