{"id":"https://openalex.org/W4327595716","doi":"https://doi.org/10.2514/1.i011083","title":"Semi-Supervised Active Learning for Anomaly Detection in Aviation","display_name":"Semi-Supervised Active Learning for Anomaly Detection in Aviation","publication_year":2023,"publication_date":"2023-03-16","ids":{"openalex":"https://openalex.org/W4327595716","doi":"https://doi.org/10.2514/1.i011083"},"language":"en","primary_location":{"id":"doi:10.2514/1.i011083","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011083","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5001542628","display_name":"Milad Memarzadeh","orcid":"https://orcid.org/0000-0001-7672-6033"},"institutions":[{"id":"https://openalex.org/I1329765538","display_name":"Universities Space Research Association","ror":"https://ror.org/043pgqy52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329765538"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Milad Memarzadeh","raw_affiliation_strings":["Universities Space Research Association, Moffett Field, California 94035"],"raw_orcid":"https://orcid.org/0000-0001-7672-6033","affiliations":[{"raw_affiliation_string":"Universities Space Research Association, Moffett Field, California 94035","institution_ids":["https://openalex.org/I1329765538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003155939","display_name":"Bryan Matthews","orcid":"https://orcid.org/0000-0003-0391-314X"},"institutions":[{"id":"https://openalex.org/I144472018","display_name":"Wyle (United States)","ror":"https://ror.org/02zeryz43","country_code":"US","type":"company","lineage":["https://openalex.org/I144472018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan Matthews","raw_affiliation_strings":["KBRwyle, Moffett Field, California 94035"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KBRwyle, Moffett Field, California 94035","institution_ids":["https://openalex.org/I144472018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066618786","display_name":"Thomas Templin","orcid":"https://orcid.org/0000-0002-9602-8686"},"institutions":[{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Templin","raw_affiliation_strings":["NASA Ames Research Center, Moffett Field, California 94035"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Ames Research Center, Moffett Field, California 94035","institution_ids":["https://openalex.org/I1280536761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025426328","display_name":"Aida Sharif Rohani","orcid":null},"institutions":[{"id":"https://openalex.org/I1329765538","display_name":"Universities Space Research Association","ror":"https://ror.org/043pgqy52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329765538"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aida Sharif Rohani","raw_affiliation_strings":["Universities Space Research Association, Moffett Field, California 94035"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universities Space Research Association, Moffett Field, California 94035","institution_ids":["https://openalex.org/I1329765538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052885557","display_name":"Daniel Weckler","orcid":null},"institutions":[{"id":"https://openalex.org/I144472018","display_name":"Wyle (United States)","ror":"https://ror.org/02zeryz43","country_code":"US","type":"company","lineage":["https://openalex.org/I144472018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Weckler","raw_affiliation_strings":["KBRwyle, Moffett Field, California 94035"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KBRwyle, Moffett Field, California 94035","institution_ids":["https://openalex.org/I144472018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001542628"],"corresponding_institution_ids":["https://openalex.org/I1329765538"],"apc_list":null,"apc_paid":null,"fwci":1.1623,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82046755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"20","issue":"4","first_page":"181","last_page":"194"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.8383861780166626},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.6427375674247742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931769013404846},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5247312188148499},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.49799418449401855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4885652959346771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47998544573783875},{"id":"https://openalex.org/keywords/aviation-safety","display_name":"Aviation safety","score":0.47810477018356323},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4611618220806122},{"id":"https://openalex.org/keywords/aviation-accident","display_name":"Aviation accident","score":0.414225310087204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36741769313812256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27437588572502136}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8383861780166626},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.6427375674247742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931769013404846},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5247312188148499},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.49799418449401855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885652959346771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47998544573783875},{"id":"https://openalex.org/C538199239","wikidata":"https://www.wikidata.org/wiki/Q640853","display_name":"Aviation safety","level":3,"score":0.47810477018356323},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4611618220806122},{"id":"https://openalex.org/C2908613842","wikidata":"https://www.wikidata.org/wiki/Q108284447","display_name":"Aviation accident","level":3,"score":0.414225310087204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36741769313812256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27437588572502136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i011083","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011083","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4782275651","display_name":null,"funder_award_id":"80ARC020D0010","funder_id":"https://openalex.org/F4320332374","funder_display_name":"Ames Research Center"},{"id":"https://openalex.org/G5352380380","display_name":null,"funder_award_id":"NNA16BD14C.","funder_id":"https://openalex.org/F4320332374","funder_display_name":"Ames Research Center"}],"funders":[{"id":"https://openalex.org/F4320332374","display_name":"Ames Research Center","ror":"https://ror.org/02acart68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2140369911","https://openalex.org/W2319759828","https://openalex.org/W2333920396","https://openalex.org/W3009613264","https://openalex.org/W3033045097","https://openalex.org/W3035622304","https://openalex.org/W3040266635","https://openalex.org/W3048044234","https://openalex.org/W3135550350","https://openalex.org/W3158152401","https://openalex.org/W3204620932","https://openalex.org/W3205626500","https://openalex.org/W4293875029"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,138,215],"in":[2,23,26,75,90,145,180,198],"commercial":[3,222],"aviation":[4,79,91],"is":[5,240],"an":[6],"extremely":[7],"challenging":[8],"yet":[9],"crucial":[10],"task.":[11],"Accurately":[12],"detecting":[13],"operationally":[14,142],"significant":[15,24,104,111,143],"anomalies":[16,105,144,179,194,246],"can":[17,243],"save":[18],"civilian":[19],"lives":[20],"and/or":[21],"result":[22],"savings":[25],"maintenance":[27],"cost.":[28],"The":[29,151],"current":[30],"practice":[31],"uses":[32],"manually":[33],"tuned":[34],"rule-based":[35],"mechanisms":[36],"to":[37,64,72,81,120,175,191,219],"flag":[38],"exceedances":[39],"from":[40],"predefined":[41],"safety":[42,178],"boundaries.":[43],"However,":[44,68],"this":[45,127],"system":[46],"cannot":[47,98],"identify":[48,177,244],"unknown":[49,193,245],"risks":[50],"and":[51,123,242],"emerging":[52],"vulnerabilities.":[53],"Recently,":[54],"innovative":[55],"approaches":[56],"based":[57],"on":[58],"machine":[59],"learning":[60,97,118,134,187],"have":[61],"been":[62],"used":[63],"automate":[65],"anomaly":[66,137,214],"detection.":[67],"there":[69],"are":[70,88],"limits":[71],"their":[73],"applicability":[74],"the":[76,184,199,203,206,217,228,238],"field":[77],"of":[78,158,167,205,213,221,237],"due":[80],"several":[82],"challenges:":[83],"1)":[84],"Properly":[85],"reviewed":[86,170],"data":[87,160,169,239],"scarce":[89],"and,":[92,113],"as":[93,114,161,163],"a":[94,115,131,164,209],"result,":[95,116],"supervised":[96],"reach":[99],"optimal":[100],"performance.":[101,125],"2)":[102],"Operationally":[103],"do":[106],"not":[107],"coincide":[108],"with":[109,155,208],"statistically":[110],"ones":[112],"unsupervised":[117],"fails":[119],"provide":[121],"reliable":[122,232],"robust":[124],"In":[126],"paper,":[128],"we":[129],"propose":[130],"semi-supervised":[132],"active":[133,186],"framework":[135,153,230],"for":[136],"(SALAD),":[139],"which":[140],"detects":[141],"flight":[146,181],"operational":[147],"quality":[148],"assurance":[149],"data.":[150],"developed":[152],"works":[154],"vast":[156],"amounts":[157],"unlabeled":[159],"well":[162],"small":[165],"quantity":[166],"labeled":[168,241],"by":[171],"subject":[172],"matter":[173],"experts":[174],"reliably":[176],"operations.":[182],"Moreover,":[183],"model\u2019s":[185],"strategy":[188],"allows":[189],"it":[190],"detect":[192],"that":[195,227],"might":[196],"emerge":[197],"system.":[200],"We":[201,224],"validate":[202],"performance":[204,233],"SALAD":[207],"real-world":[210],"case":[211],"study":[212],"during":[216],"approach":[218],"landing":[220],"aircraft.":[223],"specifically":[225],"show":[226],"proposed":[229],"reaches":[231],"when":[234],"only":[235],"1%":[236],"effectively.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}