{"id":"https://openalex.org/W4411464972","doi":"https://doi.org/10.1145/3703412.3704452","title":"VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting","display_name":"VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4411464972","doi":"https://doi.org/10.1145/3703412.3704452"},"language":"en","primary_location":{"id":"doi:10.1145/3703412.3704452","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3704452","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3703412.3704452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080950812","display_name":"Alessandro Falcetta","orcid":"https://orcid.org/0000-0003-0460-1690"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Falcetta","raw_affiliation_strings":["Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0000-0003-0460-1690","affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118396384","display_name":"Giulio Cristofaro","orcid":null},"institutions":[{"id":"https://openalex.org/I2802578832","display_name":"Deutsches Historisches Institut Rom","ror":"https://ror.org/00ewnj302","country_code":"IT","type":"government","lineage":["https://openalex.org/I2802578832","https://openalex.org/I4210114638"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Cristofaro","raw_affiliation_strings":["Dhiria S.r.l., Milan, IT"],"raw_orcid":"https://orcid.org/0009-0006-7378-9681","affiliations":[{"raw_affiliation_string":"Dhiria S.r.l., Milan, IT","institution_ids":["https://openalex.org/I2802578832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092704632","display_name":"Lorenzo Epifani","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Epifani","raw_affiliation_strings":["Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0009-0000-0375-4631","affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0000-0001-7828-7687","affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.6627644896507263},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6298699975013733},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5595594048500061},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49069511890411377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3892526626586914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3759702444076538},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06540116667747498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627644896507263},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6298699975013733},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5595594048500061},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49069511890411377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3892526626586914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3759702444076538},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06540116667747498},{"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:10.1145/3703412.3704452","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3704452","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1284546","is_oa":true,"landing_page_url":"https://dl.acm.org/doi/10.1145/3703412.3704452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3703412.3704452","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3704452","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1977587074","https://openalex.org/W1983883318","https://openalex.org/W2756203131","https://openalex.org/W2789364533","https://openalex.org/W2802314367","https://openalex.org/W2898843852","https://openalex.org/W2945680505","https://openalex.org/W2964248263","https://openalex.org/W2967087414","https://openalex.org/W2970602317","https://openalex.org/W3010424471","https://openalex.org/W3014191625","https://openalex.org/W3022643593","https://openalex.org/W3041133507","https://openalex.org/W3080683114","https://openalex.org/W3088943773","https://openalex.org/W3103720336","https://openalex.org/W3107324520","https://openalex.org/W3107462623","https://openalex.org/W3109830572","https://openalex.org/W3132782787","https://openalex.org/W3177318507","https://openalex.org/W3181231283","https://openalex.org/W4206080183","https://openalex.org/W4206337041","https://openalex.org/W4210432499","https://openalex.org/W4224275571","https://openalex.org/W4293318869","https://openalex.org/W4382203079","https://openalex.org/W4385485152","https://openalex.org/W4387652219","https://openalex.org/W4390494339","https://openalex.org/W6926303013"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,29,56,86],"is":[2,60,99],"a":[3,13,48,68],"technique":[4],"that":[5,18,71],"allows":[6],"one":[7],"to":[8,93,106,115],"learn":[9],"effective":[10,84],"models":[11,17,82],"for":[12,54,83,87],"given":[14],"task,":[15],"leveraging":[16],"were":[19],"previously":[20],"trained":[21],"on":[22,96,101],"other":[23],"tasks.":[24],"In":[25,62],"recent":[26],"years,":[27],"transfer":[28,55,85],"has":[30],"been":[31],"applied":[32],"in":[33,42,57],"the":[34,97],"context":[35],"of":[36],"time-series":[37,58,88],"processing,":[38],"with":[39,113],"notable":[40],"examples":[41],"anomaly":[43],"detection":[44],"and":[45,51,80,103,111],"classification.":[46],"However,":[47],"general,":[49],"cross-domain,":[50],"scalable":[52],"approach":[53,70],"forecasting":[59],"missing.":[61],"this":[63],"work":[64],"we":[65],"propose":[66],"VETT,":[67],"novel":[69],"leverages":[72],"feature":[73],"similarity":[74],"search":[75],"(implemented":[76],"through":[77],"vector":[78],"databases)":[79],"ensemble":[81],"forecasting.":[89],"The":[90],"architecture,":[91],"designed":[92],"be":[94],"deployed":[95],"Cloud,":[98],"tested":[100],"benchmarks":[102],"state-of-the-art":[104],"datasets":[105],"assess":[107],"both":[108],"its":[109],"effectiveness":[110],"efficiency":[112],"respect":[114],"traditional":[116],"solutions.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}