{"id":"https://openalex.org/W7155669207","doi":null,"title":"Architetture transformer unificate per la rappresentazione e la generazione di serie temporali di dati tabulari eterogenei","display_name":"Architetture transformer unificate per la rappresentazione e la generazione di serie temporali di dati tabulari eterogenei","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155669207"},"language":"en","primary_location":{"id":"pmh:oai:iris.unimore.it:11380/1402273","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11380/1402273","pdf_url":"https://iris.unimore.it/bitstream/11380/1402273/2/GarutiFabrizio.pdf","source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"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/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.unimore.it/bitstream/11380/1402273/2/GarutiFabrizio.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030948871","display_name":"Rita Cucchiara","orcid":"https://orcid.org/0000-0002-2239-283X","observed_orcids":["https://orcid.org/0000-0002-2239-283X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cucchiara, Rita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134601413","display_name":"Luigi Rovati","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rovati, Luigi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066213235","display_name":"Fabrizio Garuti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garuti, Fabrizio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9818999767303467,"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":0.9818999767303467,"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/T10028","display_name":"Topic Modeling","score":0.002199999988079071,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.0017999999690800905,"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/transformer","display_name":"transformer models","score":0.6060000061988831},{"id":"https://openalex.org/keywords/bank-transaction-data","display_name":"bank transaction data","score":0.5090000033378601},{"id":"https://openalex.org/keywords/autoregressive-transformer","display_name":"autoregressive transformers","score":0.7789999842643738},{"id":"https://openalex.org/keywords/financial-data-privacy","display_name":"financial data privacy","score":0.5820000171661377},{"id":"https://openalex.org/keywords/temporal-dependencies","display_name":"temporal dependencies","score":0.5730000138282776},{"id":"https://openalex.org/keywords/variable-length-sequences","display_name":"variable-length sequences","score":0.7459999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3449999988079071},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25949999690055847},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2345000058412552},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.21119999885559082},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19480000436306},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.19269999861717224},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.19210000336170197},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1817999929189682},{"id":"https://openalex.org/C101382669","wikidata":"https://www.wikidata.org/wiki/Q1616769","display_name":"Ferroresonance in electricity networks","level":4,"score":0.1671999990940094}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:iris.unimore.it:11380/1402273","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11380/1402273","pdf_url":"https://iris.unimore.it/bitstream/11380/1402273/2/GarutiFabrizio.pdf","source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"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/doctoralThesis"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1402273","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11380/1402273","pdf_url":"https://iris.unimore.it/bitstream/11380/1402273/2/GarutiFabrizio.pdf","source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"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/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7155669207.pdf","grobid_xml":"https://content.openalex.org/works/W7155669207.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2593634001","https://openalex.org/W2594475271","https://openalex.org/W2622068151","https://openalex.org/W2792764867","https://openalex.org/W2938704169","https://openalex.org/W2940744433","https://openalex.org/W3030163527","https://openalex.org/W3092442149","https://openalex.org/W3111356309","https://openalex.org/W3195577433","https://openalex.org/W4288099666","https://openalex.org/W4310882088","https://openalex.org/W4319452093","https://openalex.org/W4320733494","https://openalex.org/W4391988282","https://openalex.org/W7133224204"],"related_works":["https://openalex.org/W4409873779","https://openalex.org/W7043492720","https://openalex.org/W3095004927","https://openalex.org/W6891945274","https://openalex.org/W6905915026","https://openalex.org/W7133206888","https://openalex.org/W7152063285","https://openalex.org/W7006089043","https://openalex.org/W4406606637","https://openalex.org/W7203642142"],"abstract_inverted_index":{"The":[0],"increasing":[1],"adoption":[2],"of":[3,56,71,83,138,198,212,253],"Deep":[4,120,302,438],"Learning":[5,118,121,303,436,439],"models":[6,140,176,267],"across":[7,123,236],"diverse":[8],"domains":[9,271],"has":[10],"recently":[11],"stimulated":[12],"research":[13],"on":[14,130,141],"extending":[15],"such":[16,272],"methods":[17,122],"to":[18,42,158,208],"structured":[19,269],"tabular":[20,36,74,213,256],"data,":[21],"especially":[22],"when":[23],"these":[24],"data":[25,159,190,257],"exhibit":[26],"temporal":[27,54,110,193,255,270],"dependencies,":[28],"as":[29,273],"in":[30,180,268,304,322,391,441],"transactional":[31,85,152],"or":[32],"nancial":[33,182],"time":[34,86,214,627],"series.However,":[35],"datasets":[37],"pose":[38],"unique":[39],"challenges":[40],"due":[41,489],"their":[43],"heterogeneous":[44,73,228,254],"nature,":[45],"combining":[46],"numerical":[47,98],"and":[48,51,69,97,112,119,126,167,195,229,232,251,276],"categorical":[49,96],"features,":[50],"the":[52,57,147,181,204,209,248,263],"variable":[53],"structure":[55],"data.This":[58],"thesis":[59],"presents":[60],"a":[61,79,89,101,169,219,242,507],"uni":[62,246,366,589],"ed":[63],"Transformer-based":[64],"framework":[65,157,244,365,481],"for":[66,151,227,265],"both":[67],"representation":[68,132],"generation":[70,252],"time-dependent":[72],"data.We":[75,153],"rst":[76,148],"introduce":[77],"UniTTab,":[78,387],"Transformer":[80,139,222,260,279,371,390,464,493,498,560,602],"architecture":[81,223],"capable":[82],"representing":[84],"series":[87,215,628],"through":[88,258],"uniform":[90],"embedding":[91,402],"space":[92],"that":[93,191,245],"jointly":[94],"encodes":[95],"attributes.Trained":[99],"via":[100],"masked":[102,418],"token":[103],"pretext":[104],"task,":[105],"UniT-Tab":[106],"e":[107,285,353,375,410,422,427,437,446,495,529,567,593,617,623],"ectively":[108],"captures":[109],"dependencies":[111],"internal":[113],"heterogeneity,":[114],"outperforming":[115],"traditional":[116],"Machine":[117,435],"various":[124],"prediction":[125],"classi":[127,447],"cation":[128],"tasks.Building":[129],"this":[131,156,239],"foundation,":[133],"we":[134,202],"explore":[135],"large-scale":[136,259],"training":[137],"real-world":[142],"bank":[143],"transaction":[144,174],"datasets,":[145],"establishing":[146],"foundation":[149,266,475],"model":[150,476],"then":[154],"extend":[155],"generation,":[160,216],"introducing":[161,217],"two":[162],"models-UniTTab-AR,":[163],"an":[164],"autoregressive":[165],"Transformer,":[166],"BankDiT,":[168,496],"di":[170,205,288,291,299,301,314,378,393,401,416,434,444,453,462,468,486,503,505,511,543,551,569,595,611],"usion-based":[171,206],"Transformer-for":[172],"synthetic":[173,189],"generation.These":[175],"address":[177],"privacy":[178,512],"constraints":[179],"domain":[183],"by":[184],"producing":[185],"realistic":[186],"yet":[187],"non-sensitive":[188],"preserve":[192],"dynamics":[194],"statistical":[196],"properties":[197],"real":[199],"transactions.I":[200],"Finally,":[201],"generalize":[203],"approach":[207],"broader":[210],"task":[211],"TabDiT,":[218,556],"Di":[220,558],"usion":[221,544,559],"speci":[224,561],"cally":[225],"designed":[226],"variable-length":[230],"sequences,":[231],"demonstrating":[233],"state-of-the-art":[234],"performance":[235],"multiple":[237],"datasets.Overall,":[238],"work":[240],"contributes":[241],"coherent":[243],"es":[247],"representation,":[249],"learning,":[250],"architectures,":[261],"paving":[262],"way":[264],"nance,":[274],"healthcare,":[275],"beyond.":[277],"IIArchitetture":[278],"Uni":[280],"cate":[281],"per":[282,372,477,564,614],"la":[283,286,311,373,376,537,607],"Rappresentazione":[284],"Generazione":[287],"Serie":[289],"Temporali":[290],"Dati":[292],"Tabulari":[293],"Eterogenei":[294],"Sommario":[295],"La":[296],"crescente":[297],"adozione":[298],"modelli":[300,463,502,612],"diversi":[305,442,579],"ambiti":[306],"applicativi":[307],"ha":[308],"recentemente":[309],"stimolato":[310],"ricerca":[312],"sull'estensione":[313],"tali":[315],"metodologie":[316],"anche":[317],"ai":[318],"dati":[319,379,478,518,565,596],"tabulari":[320,339,380,597],"strutturati,":[321],"particolare":[323],"quando":[324],"questi":[325],"presentano":[326],"dipendenze":[327,425],"temporali,":[328,618],"come":[329,619],"nel":[330],"caso":[331],"delle":[332,533],"serie":[333,395,552],"transazionali":[334,397],"o":[335],"nanziarie.Tuttavia,":[336],"i":[337],"dataset":[338,466],"pongono":[340],"s":[341],"de":[342,471],"peculiari":[343],"dovute":[344],"alla":[345,356,484],"loro":[346,359],"natura":[347],"eterogenea":[348],"-che":[349],"combina":[350],"attributi":[351],"numerici":[352],"categoriali":[354],"-e":[355],"variabilit\u00e0":[357],"della":[358,549],"struttura":[360],"temporale.Questa":[361],"tesi":[362,538],"presenta":[363],"un":[364,388,413,492,497,585],"cato":[367],"basato":[368,500,541],"su":[369,459,465,501,542,578,603],"architetture":[370,601],"rappresentazione":[374],"generazione":[377,485,550,594],"eterogenei":[381,566,599],"dipendenti":[382],"dal":[383],"tempo.Inizialmente,":[384],"viene":[385,482],"introdotto":[386],"modello":[389],"grado":[392],"rappresentare":[394],"temporali":[396,426,528,553,598],"attraverso":[398],"uno":[399],"spazio":[400],"uniforme":[403],"che":[404,524,572,588],"codi":[405],"ca":[406,590],"congiuntamente":[407],"caratteristiche":[408],"numeriche":[409],"categoriche.Addestrato":[411],"mediante":[412],"\"pretext":[414],"task\"":[415],"tipo":[417,504],"token,":[419],"UniTTab":[420],"cattura":[421],"cacemente":[423],"le":[424,509,526,530],"l'eterogeneit\u00e0":[428],"interna":[429],"dei":[430],"dati,":[431,487],"superando":[432],"approcci":[433],"tradizionali":[440],"compiti":[443],"previsione":[445],"cazione.A":[448],"partire":[449],"da":[450],"questa":[451],"base":[452],"rappresentazione,":[454,591],"il":[455,473,480],"lavoro":[456,583],"esplora":[457],"l'addestramento":[458],"larga":[460,604],"scala":[461],"reali":[467],"transazioni":[469,534],"bancarie,":[470],"nendo":[472],"primo":[474],"transazionali.Successivamente,":[479],"esteso":[483],"introducendo":[488,555],"modelli:":[490],"UniTTab-AR,":[491],"autoregressivo,":[494],"III":[499],"usion.Entrambi":[506],"rontano":[508],"problematiche":[510],"tipiche":[513],"del":[514],"dominio":[515],"nanziario,":[516,621],"generando":[517],"sintetici":[519],"realistici":[520],"ma":[521],"non":[522],"sensibili,":[523],"preservano":[525],"dinamiche":[527],"propriet\u00e0":[531],"statistiche":[532],"reali.In":[535],"ne,":[536],"generalizza":[539],"l'approccio":[540],"al":[545],"compito":[546],"pi\u00f9":[547],"ampio":[548],"tabulari,":[554],"un'architettura":[557],"camente":[562],"progettata":[563],"sequenze":[568],"lunghezza":[570],"variabile,":[571],"dimostra":[573],"prestazioni":[574],"allo":[575,609],"stato":[576],"dell'arte":[577],"dataset.Nel":[580],"complesso,":[581],"questo":[582],"propone":[584],"quadro":[586],"coerente":[587],"apprendimento":[592],"tramite":[600],"scala,":[605],"aprendo":[606],"strada":[608],"sviluppo":[610],"fondamentali":[613],"domini":[615],"strutturati":[616],"quello":[620],"sanitario":[622],"oltre.IV":[624],"8.2.2":[625],"Variable-length":[626],".":[629,630,631,632,633,634,635,636,637,638,639,640,641,642,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661],".8.3":[643],"Experiments":[644]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-04-26T00:00:00"}