{"id":"https://openalex.org/W4308083512","doi":"https://doi.org/10.1109/mapr56351.2022.9924783","title":"Applying Bayesian inference in a hybrid CNN-LSTM model for time-series prediction","display_name":"Applying Bayesian inference in a hybrid CNN-LSTM model for time-series prediction","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4308083512","doi":"https://doi.org/10.1109/mapr56351.2022.9924783"},"language":"en","primary_location":{"id":"doi:10.1109/mapr56351.2022.9924783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr56351.2022.9924783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04056437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052837369","display_name":"Thi-Lich Nghiem","orcid":"https://orcid.org/0000-0002-0378-4977"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]},{"id":"https://openalex.org/I4210109591","display_name":"Thuongmai University","ror":"https://ror.org/021s58p89","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210109591"]},{"id":"https://openalex.org/I4210098964","display_name":"Toulouse Mathematics Institute","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210098964"]},{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR","VN"],"is_corresponding":true,"raw_author_name":"Thi-Lich Nghiem","raw_affiliation_strings":["Hanoi University of Science and Technology,MICA,Hanoi,Vietnam","MICA, Hanoi University of Science and Technology, Hanoi, Vietnam","MIS and E-commerce faculty, Thuongmai University, Hanoi, Vietnam","Toulouse Mathematics Institute,, Paul Sabatier University, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,MICA,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"MICA, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"MIS and E-commerce faculty, Thuongmai University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210109591"]},{"raw_affiliation_string":"Toulouse Mathematics Institute,, Paul Sabatier University, Toulouse, France","institution_ids":["https://openalex.org/I4210098964","https://openalex.org/I134560555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063587268","display_name":"Viet-Duc Le","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Viet-Duc Le","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electronics and Telecommunications,Hanoi,Vietnam","School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electronics and Telecommunications,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067859504","display_name":"Thi\u2010Lan Le","orcid":"https://orcid.org/0000-0001-9541-3905"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Lan Le","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electronics and Telecommunications,Hanoi,Vietnam","School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","MICA, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electronics and Telecommunications,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"MICA, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051261858","display_name":"Pierre Mar\u00e9chal","orcid":"https://orcid.org/0000-0001-9148-831X"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210098964","display_name":"Toulouse Mathematics Institute","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210098964"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Marechal","raw_affiliation_strings":["Paul Sabatier University,Toulouse Mathematics Institute,,Toulouse,France","Toulouse Mathematics Institute,, Paul Sabatier University, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paul Sabatier University,Toulouse Mathematics Institute,,Toulouse,France","institution_ids":["https://openalex.org/I4210098964","https://openalex.org/I134560555"]},{"raw_affiliation_string":"Toulouse Mathematics Institute,, Paul Sabatier University, Toulouse, France","institution_ids":["https://openalex.org/I4210098964","https://openalex.org/I134560555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112892426","display_name":"Daniel Delahaye","orcid":null},"institutions":[{"id":"https://openalex.org/I100296615","display_name":"\u00c9cole Nationale de l\u2019Aviation Civile","ror":"https://ror.org/022zdgq74","country_code":"FR","type":"education","lineage":["https://openalex.org/I100296615","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniel Delahaye","raw_affiliation_strings":["French Civil Aviation University,OPTIM Team,Toulouse,France","OPTIM Team, French Civil Aviation University, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"French Civil Aviation University,OPTIM Team,Toulouse,France","institution_ids":["https://openalex.org/I100296615"]},{"raw_affiliation_string":"OPTIM Team, French Civil Aviation University, Toulouse, France","institution_ids":["https://openalex.org/I100296615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083846723","display_name":"Andrija Vidosavljevi\u0107","orcid":"https://orcid.org/0000-0003-1044-0627"},"institutions":[{"id":"https://openalex.org/I100296615","display_name":"\u00c9cole Nationale de l\u2019Aviation Civile","ror":"https://ror.org/022zdgq74","country_code":"FR","type":"education","lineage":["https://openalex.org/I100296615","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrija Vidosavljevic","raw_affiliation_strings":["French Civil Aviation University,OPTIM Team,Toulouse,France","OPTIM Team, French Civil Aviation University, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"French Civil Aviation University,OPTIM Team,Toulouse,France","institution_ids":["https://openalex.org/I100296615"]},{"raw_affiliation_string":"OPTIM Team, French Civil Aviation University, Toulouse, France","institution_ids":["https://openalex.org/I100296615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052837369"],"corresponding_institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210098964","https://openalex.org/I4210109591","https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":1.8579,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8657899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/overfitting","display_name":"Overfitting","score":0.8976203799247742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7373220324516296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7148540019989014},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6568053364753723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6535649299621582},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.620882511138916},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5701053142547607},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5621126294136047},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5421112775802612},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5179716348648071},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4701932370662689},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43507274985313416},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.42795392870903015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41329193115234375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34303370118141174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13977915048599243},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12516024708747864}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8976203799247742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373220324516296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7148540019989014},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6568053364753723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6535649299621582},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.620882511138916},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5701053142547607},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5621126294136047},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5421112775802612},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5179716348648071},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4701932370662689},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43507274985313416},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42795392870903015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41329193115234375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34303370118141174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13977915048599243},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12516024708747864},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.1109/mapr56351.2022.9924783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr56351.2022.9924783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04056437v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04056437","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Multimedia Analysis and Pattern Recognition (MAPR), Oct 2022, Phu Quoc, Vietnam","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04056437v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04056437","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Multimedia Analysis and Pattern Recognition (MAPR), Oct 2022, Phu Quoc, Vietnam","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN)":[3],"and":[4,25,82,121,149],"Long":[5],"Short-Term":[6],"Memory":[7],"(LSTM)":[8],"provide":[9],"state-of-the-art":[10],"performance":[11],"in":[12,54,61,68,98,141],"various":[13],"tasks.":[14],"However,":[15],"these":[16],"models":[17,140],"are":[18],"faced":[19],"with":[20],"overfitting":[21,81],"on":[22,34,114],"small":[23],"data":[24],"cannot":[26],"measure":[27],"uncertainty,":[28],"which":[29],"have":[30,111],"a":[31,92,99],"negative":[32],"effect":[33],"their":[35],"generalization":[36],"abilities.":[37],"In":[38,87],"addition,":[39],"the":[40,49,66,69,129],"prediction":[41,71],"task":[42],"can":[43,76],"face":[44],"many":[45],"challenges":[46],"because":[47],"of":[48,143],"complex":[50],"long-term":[51],"fluctuations,":[52],"especially":[53],"time-series":[55,107,117],"datasets.":[56,123],"Recently,":[57],"applying":[58],"Bayesian":[59,96],"inference":[60,97],"deep":[62],"learning":[63],"to":[64,80,84],"estimate":[65,85],"uncertainty":[67,158],"model":[70,102,133],"was":[72],"introduced.":[73],"This":[74],"approach":[75,94],"be":[77],"highly":[78],"robust":[79],"allows":[83],"uncertainty.":[86],"this":[88],"paper,":[89],"we":[90],"propose":[91],"novel":[93],"using":[95],"hybrid":[100],"CNN-LSTM":[101],"called":[103],"CNN-Bayes":[104,131],"LSTM":[105,132],"for":[106,157],"prediction.":[108],"The":[109,124],"experiments":[110],"been":[112],"conducted":[113],"two":[115],"real":[116],"datasets,":[118],"namely":[119],"sunspot":[120],"weather":[122],"experimental":[125],"results":[126],"show":[127],"that":[128],"proposed":[130],"is":[134],"more":[135],"effective":[136],"than":[137],"other":[138],"forecasting":[139],"terms":[142],"Root":[144],"Mean":[145,150],"Square":[146],"Error":[147,152],"(RMSE)":[148],"Absolute":[151],"(MAE)":[153],"as":[154,156],"well":[155],"quantification.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}