{"id":"https://openalex.org/W4361198552","doi":"https://doi.org/10.1145/3578244.3583732","title":"A Method to Evaluate the Performance of Predictors in Cyber-Physical Systems","display_name":"A Method to Evaluate the Performance of Predictors in Cyber-Physical Systems","publication_year":2023,"publication_date":"2023-03-29","ids":{"openalex":"https://openalex.org/W4361198552","doi":"https://doi.org/10.1145/3578244.3583732"},"language":"en","primary_location":{"id":"doi:10.1145/3578244.3583732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578244.3583732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering","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/A5063344851","display_name":"Leonardo Passig Horstmann","orcid":"https://orcid.org/0000-0002-3581-275X"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leonardo Passig Horstmann","raw_affiliation_strings":["Federal University of Santa Catarina, Florianopolis, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina, Florianopolis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477282","display_name":"Matheus Wagner","orcid":"https://orcid.org/0000-0003-3985-0451"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus Wagner","raw_affiliation_strings":["Federal University of Santa Catarina, Florianopolis, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina, Florianopolis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039916641","display_name":"Ant\u00f4nio Augusto Fr\u00f6hlich","orcid":"https://orcid.org/0000-0002-4063-1339"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ant\u00f4nio Augusto Fr\u00f6hlich","raw_affiliation_strings":["Federal University of Santa Catarina, Florianopolis, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina, Florianopolis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063344851"],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02654565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9900000095367432,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9783999919891357,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7896618843078613},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.6761447787284851},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6582996845245361},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5605117678642273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5223991870880127},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5022597312927246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48931047320365906},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4443681538105011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3967762589454651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1303396224975586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7896618843078613},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.6761447787284851},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6582996845245361},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5605117678642273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5223991870880127},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5022597312927246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48931047320365906},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4443681538105011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3967762589454651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1303396224975586},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578244.3583732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578244.3583732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1582873796","https://openalex.org/W1975769195","https://openalex.org/W2136894371","https://openalex.org/W2158754589","https://openalex.org/W2164136313","https://openalex.org/W2165704389","https://openalex.org/W2798197557","https://openalex.org/W2923675513","https://openalex.org/W2996385232","https://openalex.org/W3020908451","https://openalex.org/W3026667032","https://openalex.org/W3112616739","https://openalex.org/W3134723610","https://openalex.org/W3137727436","https://openalex.org/W3156034088"],"related_works":["https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W4283160672","https://openalex.org/W1590965489"],"abstract_inverted_index":{"Cyber-Physical":[0,198],"Systems":[1],"(CPS)":[2],"rely":[3],"on":[4,66,119,162],"sensing":[5,13],"to":[6,17,27,37,45,52,111,139,210],"control":[7,195],"and":[8,69,92,172,194,200],"optimize":[9],"their":[10,67],"operation.":[11],"Nevertheless,":[12],"itself":[14],"is":[15,158,183],"prone":[16],"errors":[18],"that":[19,55],"can":[20],"originate":[21],"at":[22],"several":[23,32],"stages,":[24],"from":[25,48,82],"sampling":[26],"communication.":[28],"In":[29,104],"this":[30,105],"context,":[31],"systems":[33],"adopt":[34],"multivariate":[35,170],"predictors":[36,61,117,171],"assess":[38],"the":[39,42,79,87,113,120,123,134,146,166,169,176,190,201,204,207,213],"quality":[40],"of":[41,98,115,122,136,148,168,175,192,196,206,215],"sensed":[43],"data,":[44],"replace":[46],"data":[47,216],"faulty":[49,128],"sensors,":[50],"or":[51],"derive":[53],"variables":[54],"cannot":[56],"be":[57],"directly":[58],"sensed.":[59],"These":[60],"are":[62,90],"often":[63,75],"evaluated":[64,184],"based":[65,118,160],"accuracy":[68],"computing":[70],"demands,":[71],"however,":[72],"such":[73],"evaluations":[74],"do":[76],"not":[77],"consider":[78],"system's":[80],"architecture":[81],"a":[83,109,137,186,197],"broader":[84],"perspective,":[85],"ignoring":[86],"way":[88],"components":[89],"interconnected":[91],"how":[93],"they":[94],"cascade":[95],"as":[96,152],"inputs":[97],"other":[99],"Machine":[100],"Learning":[101],"(ML)":[102],"models.":[103],"work,":[106],"we":[107],"introduce":[108],"method":[110,132,182,209],"evaluate":[112],"performance":[114],"interdependent":[116],"stability":[121],"estimation":[124],"error":[125],"dynamics":[126],"in":[127,189],"scenarios.":[129],"The":[130,155,180],"proposed":[131,181,208],"estimates":[133],"ability":[135,205],"predictor":[138],"produce":[140],"accurate":[141],"predictions":[142],"while":[143],"accounting":[144],"for":[145,212],"impacts":[147],"cascading":[149],"predicted":[150],"values":[151],"its":[153],"inputs.":[154],"prediction":[156],"correctness":[157],"estimated":[159],"solely":[161],"information":[163],"acquired":[164],"during":[165],"training":[167],"mathematical":[173],"properties":[174],"ML":[177],"activation":[178],"functions.":[179],"with":[185],"meaningful":[187],"dataset":[188],"scope":[191],"monitoring":[193],"System,":[199],"evaluation":[202],"demonstrates":[203],"account":[211],"interdependence":[214],"predictors.":[217]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}