{"id":"https://openalex.org/W4387870527","doi":"https://doi.org/10.1109/mlsp55844.2023.10285924","title":"DOA Uncertainty Quantification With Conformal Prediction","display_name":"DOA Uncertainty Quantification With Conformal Prediction","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870527","doi":"https://doi.org/10.1109/mlsp55844.2023.10285924"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5081989646","display_name":"Ishan D. Khurjekar","orcid":"https://orcid.org/0000-0002-4083-1760"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ishan Khurjekar","raw_affiliation_strings":["NoiseLab, University of California,San Diego,La Jolla,USA,CA-92093"],"affiliations":[{"raw_affiliation_string":"NoiseLab, University of California,San Diego,La Jolla,USA,CA-92093","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004718675","display_name":"Peter Gerstoft","orcid":"https://orcid.org/0000-0002-0471-062X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Gerstoft","raw_affiliation_strings":["NoiseLab, University of California,San Diego,La Jolla,USA,CA-92093"],"affiliations":[{"raw_affiliation_string":"NoiseLab, University of California,San Diego,La Jolla,USA,CA-92093","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081989646"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.5634,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67021621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9972000122070312,"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":0.9972000122070312,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9955000281333923,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.7896566390991211},{"id":"https://openalex.org/keywords/conformal-map","display_name":"Conformal map","score":0.7178484201431274},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.6898504495620728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193714737892151},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.601481556892395},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.522162914276123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187561511993408},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.48164835572242737},{"id":"https://openalex.org/keywords/confidence-and-prediction-bands","display_name":"Confidence and prediction bands","score":0.46562594175338745},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46132272481918335},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4547019898891449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39645373821258545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37262558937072754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.370399534702301},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34563377499580383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26854389905929565}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7896566390991211},{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.7178484201431274},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.6898504495620728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193714737892151},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.601481556892395},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.522162914276123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187561511993408},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.48164835572242737},{"id":"https://openalex.org/C140529851","wikidata":"https://www.wikidata.org/wiki/Q5160083","display_name":"Confidence and prediction bands","level":3,"score":0.46562594175338745},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46132272481918335},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4547019898891449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39645373821258545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37262558937072754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.370399534702301},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34563377499580383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26854389905929565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1499689786","https://openalex.org/W1534477342","https://openalex.org/W1553101044","https://openalex.org/W1623214386","https://openalex.org/W2022416308","https://openalex.org/W2158541895","https://openalex.org/W2159554855","https://openalex.org/W2171585602","https://openalex.org/W2333897677","https://openalex.org/W2600383743","https://openalex.org/W2769302428","https://openalex.org/W2810871807","https://openalex.org/W2963238274","https://openalex.org/W2992525328","https://openalex.org/W3014801121","https://openalex.org/W3025325835","https://openalex.org/W3080716055","https://openalex.org/W3090107857","https://openalex.org/W3110616649","https://openalex.org/W3126303737","https://openalex.org/W3127853565","https://openalex.org/W3130387082","https://openalex.org/W3134690224","https://openalex.org/W4213421471","https://openalex.org/W4241996101","https://openalex.org/W4287075774","https://openalex.org/W4288373770","https://openalex.org/W6617145748","https://openalex.org/W6685112792","https://openalex.org/W6730042731","https://openalex.org/W6735443497","https://openalex.org/W6761341600","https://openalex.org/W6771378952","https://openalex.org/W6783812201","https://openalex.org/W6784730216","https://openalex.org/W6798067434"],"related_works":["https://openalex.org/W3126561811","https://openalex.org/W3196963389","https://openalex.org/W2024283948","https://openalex.org/W2024765102","https://openalex.org/W1169432554","https://openalex.org/W2098730109","https://openalex.org/W3034764261","https://openalex.org/W1966572998","https://openalex.org/W4315471852","https://openalex.org/W1607255773"],"abstract_inverted_index":{"Uncertainty":[0],"quantification":[1,21],"(UQ)":[2],"of":[3,50,83],"deep":[4,84],"learning-based":[5],"estimation":[6],"methods":[7,86],"can":[8,56],"establish":[9],"confidence":[10,33,44],"in":[11,22],"the":[12,76,80],"predictions.":[13],"We":[14],"use":[15],"conformal":[16],"prediction":[17],"(CP)":[18],"for":[19,35,87],"uncertainty":[20],"DOA":[23],"estimation.":[24],"CP":[25,43],"is":[26,71],"a":[27],"statistically":[28],"rigorous":[29],"method":[30,55],"to":[31,59,78],"provide":[32],"intervals":[34,45],"an":[36,67],"estimated":[37],"quantity":[38],"without":[39],"making":[40],"distributional":[41],"assumptions.":[42],"are":[46,90],"computed":[47],"via":[48],"quantiles":[49],"user-defined":[51],"scores.":[52],"This":[53],"easy-to-use":[54],"be":[57],"applied":[58],"any":[60],"trained":[61],"classification/regression":[62],"model":[63],"as":[64,66],"long":[65],"appropriate":[68],"score":[69],"function":[70],"chosen.":[72],"The":[73],"approach":[74],"shows":[75],"potential":[77],"enhance":[79],"real-time":[81],"applicability":[82],"learning":[85],"DOA.":[88],"Codes":[89],"on":[91],"GitHub":[92],"(Link:":[93],"Conformal":[94],"Prediction).":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}