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IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Cagliari dal mese di luglio 2015.

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TitoloData di pubblicazioneAutore(i)RivistaEditore
Semantic coherence-based user profile modeling in the recommender systems context2014Saia R; Boratto L; Carta SINSTICC Press
A proactive Time-Frame Convolution Vector (TFCV) technique to detect frauds attempts in e-commerce transactions2015Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOINTERNATIONAL JOURNAL OF E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING
A latent semantic pattern recognition strategy for an untrivial targeted advertising2015Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOInstitute of Electrical and Electronics Engineers (IEEE)
A new perspective on recommender systems: A class path information model2015Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOInstitute of Electrical and Electronics Engineers (IEEE)
Multiple behavioral models: A divide and conquer strategy to fraud detection in financial data streams2015Saia, Roberto; BORATTO, LUDOVICO; CARTA, SALVATORE MARIOSciTePress
Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion2016Boratto L; Carta S; Saia RCEUR-WS.org
An entropy based algorithm for credit scoring2016Saia R; Carta S
A class-based strategy to user behavior modeling in recommender systems2016Saia, R; Boratto, L; Carta, SSpringer
Introducing a weighted ontology to improve the graph-based semantic similarity measures2016Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOINTERNATIONAL JOURNAL OF SIGNAL PROCESSING SYSTEMS
A linear-dependence-based approach to design proactive credit scoring models2016Saia R; Carta SSciTePress
Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting2016Saia, Roberto; Boratto, Ludovico; Carta, Salvatore; Fenu, GianniFUTURE GENERATION COMPUTER SYSTEMS
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system2016Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOJOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Using neural word embeddings to model user behavior and detect user segments2016Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Saia, RobertoKNOWLEDGE-BASED SYSTEMS
Representing items as word-embedding vectors and generating recommendations by measuring their linear independence2016Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni; Saia, RobertoCEUR WORKSHOP PROCEEDINGSCEUR-WS
Similarity and diversity: two sides of the same coin in the evaluation of data streams7-mar-2016Università degli Studi di Cagliari
Popularity does not always mean triviality: introduction of popularity criteria to improve the accuracy of a recommender system2017Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIOJOURNAL OF COMPUTERS
Exploiting a determinant-based metric to evaluate a word-embeddings matrix of Items2017Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Saia, Roberto
A frequency-domain-based pattern mining for credit card fraud detection2017Saia, Roberto; Carta, SALVATORE MARIOSciTePress
Semantics-aware content-based recommender systems: Design and architecture guidelines2017Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni; Saia, RobertoNEUROCOMPUTING
A fourier spectral pattern analysis to design credit scoring models2017Saia, Roberto; Carta, SalvatoreAssociation for Computing Machinery (ACM)
   
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