{"id":"https://openalex.org/W4395051485","doi":"https://doi.org/10.1088/2632-2153/ad4231","title":"Analysis of machine learning prediction reliability based on sampling distance evaluation with feature decorrelation","display_name":"Analysis of machine learning prediction reliability based on sampling distance evaluation with feature decorrelation","publication_year":2024,"publication_date":"2024-04-23","ids":{"openalex":"https://openalex.org/W4395051485","doi":"https://doi.org/10.1088/2632-2153/ad4231"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad4231","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4231","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ad4231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093293856","display_name":"Evan Askanazi","orcid":"https://orcid.org/0000-0003-4165-4214"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Evan Askanazi","raw_affiliation_strings":["Department of Chemistry, Bar Ilan University, Ramat Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0003-4165-4214","affiliations":[{"raw_affiliation_string":"Department of Chemistry, Bar Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076830046","display_name":"Ilya Grinberg","orcid":"https://orcid.org/0000-0002-2982-6645"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ilya Grinberg","raw_affiliation_strings":["Department of Chemistry, Bar Ilan University, Ramat Gan, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemistry, Bar Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.2715,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48627923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":"2","first_page":"025030","last_page":"025030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9954000115394592,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12535","display_name":"Machine Learning and Data Classification","score":0.9350000023841858,"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/decorrelation","display_name":"Decorrelation","score":0.8906471729278564},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7426184415817261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739779710769653},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6203390955924988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383402705192566},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5102956295013428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4334200322628021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40620002150535583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11253836750984192}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8906471729278564},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7426184415817261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739779710769653},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6203390955924988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383402705192566},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5102956295013428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4334200322628021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40620002150535583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11253836750984192},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ad4231","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4231","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e845039d637e490eac07599277f59513","is_oa":true,"landing_page_url":"https://doaj.org/article/e845039d637e490eac07599277f59513","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 2, p 025030 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad4231","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4231","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2544255661","display_name":null,"funder_award_id":"Grant No. 1479/21","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"},{"id":"https://openalex.org/G4790022581","display_name":null,"funder_award_id":"W911NF-19-2-0119","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1550657683","https://openalex.org/W1988848470","https://openalex.org/W1991877700","https://openalex.org/W2006398000","https://openalex.org/W2059230219","https://openalex.org/W2079699273","https://openalex.org/W2154029067","https://openalex.org/W2272864591","https://openalex.org/W2474290612","https://openalex.org/W2585502432","https://openalex.org/W2739227175","https://openalex.org/W2896864700","https://openalex.org/W2919861672","https://openalex.org/W2959623824","https://openalex.org/W3012035124","https://openalex.org/W3025440848","https://openalex.org/W3044724994","https://openalex.org/W3049695724","https://openalex.org/W3087060148","https://openalex.org/W3101720199","https://openalex.org/W3162700235","https://openalex.org/W3169855463","https://openalex.org/W3171163219","https://openalex.org/W3191081593","https://openalex.org/W4229040274","https://openalex.org/W4239600023","https://openalex.org/W4280545185","https://openalex.org/W4286508612","https://openalex.org/W4294243063","https://openalex.org/W4295309337","https://openalex.org/W4302307669","https://openalex.org/W4310335776","https://openalex.org/W4310633502","https://openalex.org/W4362603507","https://openalex.org/W6632865702","https://openalex.org/W6652036243","https://openalex.org/W6760478262","https://openalex.org/W6797078281","https://openalex.org/W6803102748","https://openalex.org/W6888963506","https://openalex.org/W6963836598"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W3109905219","https://openalex.org/W2073586885","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W2261979314"],"abstract_inverted_index":{"Abstract":[0],"Despite":[1],"successful":[2],"use":[3,238],"in":[4,168,203],"a":[5,21,53,84,110,181,240,256],"wide":[6],"variety":[7],"of":[8,23,25,28,34,39,56,91,126,135,152,190,195,225,228,246],"disciplines":[9],"for":[10,67,77,87,163,206,237,243,250,258],"data":[11,75,139,142,166,252,259],"analysis":[12,224],"and":[13,36,45,102,119,171,222,254],"prediction,":[14],"machine":[15],"learning":[16,220],"(ML)":[17],"methods":[18],"suffer":[19],"from":[20,73,141],"lack":[22,33],"understanding":[24],"the":[26,32,74,100,124,127,136,150,153,187,192,226,229,244],"reliability":[27,249],"predictions":[29,93],"due":[30],"to":[31,63,82,158],"transparency":[35],"black-box":[37],"nature":[38],"ML":[40,49,78,92,219,230,247],"models.":[41],"In":[42],"materials":[43,169],"science":[44,170],"other":[46,172],"fields,":[47],"typical":[48],"model":[50,79],"results":[51],"include":[52],"significant":[54],"number":[55],"low-quality":[57],"predictions.":[58],"This":[59],"problem":[60],"is":[61,180,211,235],"known":[62],"be":[64,215],"particularly":[65],"acute":[66],"target":[68],"systems":[69],"which":[70],"differ":[71],"significantly":[72],"used":[76,216],"training.":[80],"However,":[81],"date,":[83],"general":[85],"method":[86,210,221],"uncertainty":[88],"quantification":[89],"(UQ)":[90],"has":[94],"not":[95],"been":[96],"available.":[97],"Focusing":[98],"on":[99,114],"intuitive":[101],"computationally":[103,212],"efficient":[104],"similarity-based":[105],"UQ,":[106],"we":[107,155],"show":[108,176],"that":[109,177],"simple":[111],"metric":[112,179],"based":[113],"Euclidean":[115],"feature":[116],"space":[117,205],"distance":[118,194],"sampling":[120],"density":[121],"together":[122],"with":[123,144,217],"decorrelation":[125],"features":[128,204],"using":[129,191],"Gram\u2013Schmidt":[130],"orthogonalization":[131],"allows":[132],"effective":[133,183],"separation":[134],"accurately":[137],"predicted":[138],"points":[140,143],"poor":[145],"prediction":[146,231,248],"accuracy.":[147],"To":[148],"demonstrate":[149],"generality":[151],"method,":[154],"apply":[156],"it":[157,234],"support":[159],"vector":[160],"regression":[161],"models":[162],"various":[164],"small":[165,251],"sets":[167,253],"fields.":[173],"We":[174],"also":[175],"this":[178],"more":[182],"UQ":[184],"tool":[185,257],"than":[186],"standard":[188,241],"approach":[189],"average":[193],"k":[196,200],"nearest":[197],"neighbors":[198],"(":[199],"=":[201],"1\u201310)":[202],"similarity":[207],"evaluation.":[208],"Our":[209],"simple,":[213],"can":[214],"any":[218],"enables":[223],"sources":[227],"errors.":[232],"Therefore,":[233],"suitable":[236],"as":[239,255],"technique":[242],"estimation":[245],"set":[260],"design.":[261]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}