{"id":"https://openalex.org/W4390188980","doi":"https://doi.org/10.1109/cscc58962.2023.00041","title":"Transformers in Time Series Forecasting: A Brief Transfer Learning Performance Analysis","display_name":"Transformers in Time Series Forecasting: A Brief Transfer Learning Performance Analysis","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4390188980","doi":"https://doi.org/10.1109/cscc58962.2023.00041"},"language":"en","primary_location":{"id":"doi:10.1109/cscc58962.2023.00041","doi":"https://doi.org/10.1109/cscc58962.2023.00041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscc58962.2023.00041","pdf_url":null,"source":{"id":"https://openalex.org/S7407086735","display_name":"International Conference on Circuits, Systems, Communications and Computers (CSCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5008790984","display_name":"Witesyavwirwa Vianney Kambale","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Witesyavwirwa Vianney Kambale","raw_affiliation_strings":["Institute for Smart Systems Technologies, Universitaet Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Smart Systems Technologies, Universitaet Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093577278","display_name":"David Krame Kadurha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210138119","display_name":"Universit\u00e9 libre des Pays des Grands Lacs","ror":"https://ror.org/04700yz30","country_code":"CD","type":"education","lineage":["https://openalex.org/I4210138119"]}],"countries":["CD"],"is_corresponding":false,"raw_author_name":"David Krame Kadurha","raw_affiliation_strings":["G\u00e9nie Electrique et Informatique, Universit\u00e9 Libre des Pays des Grands Lacs (ULPGL),Goma,Democratic Republic of Congo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"G\u00e9nie Electrique et Informatique, Universit\u00e9 Libre des Pays des Grands Lacs (ULPGL),Goma,Democratic Republic of Congo","institution_ids":["https://openalex.org/I4210138119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093577279","display_name":"Mohamed El Bahnasawi","orcid":"https://orcid.org/0000-0001-9600-3182","observed_orcids":["https://orcid.org/0000-0001-9600-3182"]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mohamed El Bahnasawi","raw_affiliation_strings":["Institute for Smart Systems Technologies, Universitaet Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Smart Systems Technologies, Universitaet Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073646721","display_name":"Fadi Al Machot","orcid":"https://orcid.org/0000-0002-1239-9261","observed_orcids":["https://orcid.org/0000-0002-1239-9261"]},"institutions":[{"id":"https://openalex.org/I54108979","display_name":"Norwegian University of Life Sciences","ror":"https://ror.org/04a1mvv97","country_code":"NO","type":"education","lineage":["https://openalex.org/I54108979"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Fadi Al Machot","raw_affiliation_strings":["Norwegian University of Life Sciences (NMBU),Faculty of Science and Technology,\u00c5s,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Life Sciences (NMBU),Faculty of Science and Technology,\u00c5s,Norway","institution_ids":["https://openalex.org/I54108979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086062007","display_name":"Taha Benarbia","orcid":"https://orcid.org/0000-0002-0576-040X","observed_orcids":["https://orcid.org/0000-0002-0576-040X","https://orcid.org/0000-0002-0647-9695"]},"institutions":[{"id":"https://openalex.org/I4210149660","display_name":"Universit\u00e9 d'Oran 2","ror":"https://ror.org/04nz98c29","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149660"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Taha Benarbia","raw_affiliation_strings":["Institute of Maintenance and Industrial Security, University of Oran 2, Oran, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Maintenance and Industrial Security, University of Oran 2, Oran, Algeria","institution_ids":["https://openalex.org/I4210149660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061137052","display_name":"Kyandoghere Kyamakya","orcid":"https://orcid.org/0000-0003-0773-9476","observed_orcids":["https://orcid.org/0000-0003-0773-9476"]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Kyandoghere Kyamakya","raw_affiliation_strings":["Universitaet Klagenfurt /Inst. f. Smart Systems Technologies, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitaet Klagenfurt /Inst. f. Smart Systems Technologies, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.395,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87248129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9854000210762024,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9854000210762024,"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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.006800000090152025,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.004800000227987766,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5989999771118164},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.984000027179718},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9980000257492065},{"id":"https://openalex.org/keywords/conformers","display_name":"conformational isomers","score":0.7580000162124634},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.7369999885559082},{"id":"https://openalex.org/keywords/mlp","display_name":"MLP","score":0.6710000038146973},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.8080000281333923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9649999737739563},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7080000042915344}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7884125113487244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677195131778717},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4924072027206421},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47566288709640503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4554670453071594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45016297698020935},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4280034303665161},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24122905731201172},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.18446069955825806},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10824722051620483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscc58962.2023.00041","doi":"https://doi.org/10.1109/cscc58962.2023.00041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscc58962.2023.00041","pdf_url":null,"source":{"id":"https://openalex.org/S7407086735","display_name":"International Conference on Circuits, Systems, Communications and Computers (CSCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2604847698","https://openalex.org/W2626778328","https://openalex.org/W2793716526","https://openalex.org/W2892009249","https://openalex.org/W2896457183","https://openalex.org/W2954731415","https://openalex.org/W2963341956","https://openalex.org/W3002709689","https://openalex.org/W3041133507","https://openalex.org/W3092172514","https://openalex.org/W3095004927","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3173539742","https://openalex.org/W3177318507","https://openalex.org/W3194625338","https://openalex.org/W4225494949","https://openalex.org/W4311404181","https://openalex.org/W4385258984","https://openalex.org/W4385270114","https://openalex.org/W4385763767","https://openalex.org/W4403182907","https://openalex.org/W6889955440"],"related_works":["https://openalex.org/W4390693405","https://openalex.org/W7160237715","https://openalex.org/W4388758166","https://openalex.org/W4388184510","https://openalex.org/W4385763767","https://openalex.org/W4391852467","https://openalex.org/W7084047074","https://openalex.org/W4402680602","https://openalex.org/W7025051403","https://openalex.org/W7123349431"],"abstract_inverted_index":{"Transformer":[0],"models":[1],"have":[2,128],"risen":[3],"to":[4,52,81,92,160,166],"the":[5,28,62,79,94,114,116,119,122,148],"challenge":[6,42],"of":[7,30,33,64,98,150],"delivering":[8],"high":[9],"prediction":[10],"capacity":[11],"for":[12,20,163],"long-term":[13],"time-series":[14],"forecasting.":[15],"Several":[16],"transformer":[17,151],"architectures":[18],"designed":[19],"time":[21,99],"series":[22,100],"forecasting":[23],"are":[24],"being":[25],"developed.":[26],"However,":[27],"phenomenon":[29],"insufficient":[31],"amount":[32],"training":[34],"data":[35],"in":[36,43,61,75,169],"certain":[37],"domains":[38],"is":[39,48],"a":[40,49,105],"constant":[41],"deep":[44],"learning.":[45],"Therefore":[46],"there":[47],"pressing":[50],"need":[51,159],"develop":[53],"transformer-based":[54],"transfer":[55,164],"learning":[56,165],"techniques":[57,127,158],"that":[58,71],"can":[59,72,86],"culminate":[60],"design":[63],"Transformer-based":[65],"Time":[66],"Series":[67],"Pre-Trained":[68],"Models":[69],"(TS-PTMs)":[70],"be":[73,87,161],"used":[74],"this":[76,102,170],"situation.":[77],"With":[78],"aim":[80],"investigate":[82],"how":[83],"pretrained":[84],"Transformers":[85],"effectively":[88],"utilized":[89],"and":[90,96,121,131,139,155],"fine-tuned":[91],"improve":[93],"accuracy":[95],"efficiency":[97],"forecasting,":[101],"paper":[103],"presents":[104],"brief":[106],"Transfer":[107],"Learning":[108],"Performance":[109],"Analysis":[110],"considering":[111],"4":[112],"models:":[113],"Conformer,":[115],"Vanilla":[117],"Transformer,":[118],"LSTM,":[120],"MLP.":[123],"Three":[124],"variant":[125],"TL":[126],"been":[129],"explored":[130],"empirically":[132],"analyzed:":[133],"total":[134],"model":[135],"freezing,":[136],"feature":[137,156],"extraction,":[138],"fine-tuning.":[140],"The":[141],"initial":[142],"experimental":[143],"results":[144],"show":[145],"that,":[146],"given":[147],"complexity":[149],"models,":[152],"various":[153],"fine-tuning":[154],"extraction":[157],"developed":[162],"reach":[167],"maturity":[168],"field.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-12-26T00:00:00"}