Prodotti della ricerca
UNICA IRIS Institutional Research Information System
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.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Middleware support for efficient resource management on embedded MCSoCs | In stampa | Alimonda A; Carta S; Acquaviva A | ||
| Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting | 2021 | Carta, Salvatore Mario; Ferreira, Anselmo; Podda, Alessandro Sebastian; Diego, Reforgiato; Sanna,... Antonio | EXPERT SYSTEMS WITH APPLICATIONS | |
| A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning | 2021 | Carta, Salvatore Mario; Corriga, Andrea; Ferreira, Anselmo; Podda, Alessandro Sebastian; Diego, R...eforgiato | APPLIED INTELLIGENCE | |
| A combined entropy-based approach for a proactive credit scoring | 2020 | Carta, Salvatore Mario; Castelo Branco Ferreira, Anselmo; Reforgiato Recupero, Diego Angelo Gaeta...no; Saia, M.; Saia, Roberto | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | |
| Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users’ sharing behavior on Facebook | 2020 | Boratto, Ludovico; Carta, Salvatore; Ibba, Federico; Mulas, Fabrizio; Pilloni, Paolo | USER MODELING AND USER-ADAPTED INTERACTION | |
| A local feature engineering strategy to improve network anomaly detection | 2020 | Carta, S.; Podda, A. S.; Recupero, D. R.; Saia, R. | FUTURE INTERNET | |
| Deep learning and time series-to-image encoding for financial forecasting | 2020 | Barra, S.; Carta, S. M.; Corriga, A.; Podda, A. S.; Reforgiato Recupero, D. | IEEE/CAA JOURNAL OF AUTOMATICA SINICA | |
| Popularity prediction of instagram posts | 2020 | Carta, S.; Podda, A. S.; Recupero, D. R.; Saia, R.; Usai, G. | INFORMATION | |
| Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact | 2020 | BARTOLETTI, MASSIMO; CARTA, SALVATORE MARIO; CIMOLI, TIZIANA; Saia, Roberto | FUTURE GENERATION COMPUTER SYSTEMS | |
| A discretized enriched technique to enhance machine learning performance in credit scoring | 2019 | Saia, R.; Carta, S.; Reforgiato Recupero, D.; Fenu, G.; Saia, M. | SciTePress | |
| A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems | 2019 | Saia, R.; Carta, S.; Reforgiato Recupero, D.; Fenu, G.; Stanciu, M. M. | SciTePress | |
| Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model | 2019 | Carta, Salvatore; Fenu, Gianni; Reforgiato Recupero, Diego; Saia, Roberto | JOURNAL OF INFORMATION SECURITY AND APPLICATIONS | |
| Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices | 2019 | Saia, Roberto; Carta, Salvatore Mario; Recupero, Diego Reforgiato; Fenu, Gianni | SciTePress | |
| A supervised multi-class multi-label word embeddings approach for toxic comment classification | 2019 | Carta, S.; Corriga, A.; Mulas, R.; Reforgiato Recupero, D.; Saia, R. | SciTePress | |
| A holistic auto-configurable ensemble machine learning strategy for financial trading | 2019 | Carta, S.; Corriga, A.; Ferreira, A.; Recupero, D. R.; Saia, R. | COMPUTATION | |
| Introducing a vector space model to perform a proactive credit scoring | 2019 | Saia, R.; Carta, S. | Springer | |
| Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data | 2019 | Carta, Salvatore; Medda, Andrea; Pili, Alessio; Recupero, Diego Reforgiato; Saia, Roberto | FUTURE INTERNET | |
| Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks | 2019 | Saia, Roberto; Carta, Salvatore | FUTURE GENERATION COMPUTER SYSTEMS | |
| Predicting workout quality to help coaches support sportspeople | 2018 | Boratto, L.; Carta, S.; Iguider, W.; Mulas, F.; Pilloni, P. | CEUR-WS | |
| Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era | 2018 | Boratto, L.; Carta, S.; Kaltenbrunner, A.; Manca, M. | INFORMATION SYSTEMS FRONTIERS | |
| A wavelet-based data analysis to credit scoring | 2018 | Saia, Roberto; Carta, Salvatore; Fenu, Gianni | Association for Computing Machinery | |
| NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system | 2018 | Armano, Giuliano; Battiato, Sebastiano; Bennato, Davide; Boratto, Ludovico; Carta, Salvatore M.; ...Di Noia, Tommaso; Di Sciascio, Eugenio; Ortis, Alessandro; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Recommender system lets coaches identify and help athletes who begin losing motivation | 2018 | Pilloni, Paolo; Piras, Luca; Carta, SALVATORE MARIO; Fenu, Gianni; Fabrizio Mulas, And; Boratto, ...Ludovico | COMPUTER | |
| Employing document embeddings to solve the "new catalog" problem in user targeting, and provide explanations to the users | 2018 | Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Piras, Luca | Springer | |
| Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system | 2018 | Manca, Matteo; Boratto, Ludovico; Carta, Salvatore Mario | INFORMATION SYSTEMS FRONTIERS | |
| Popularity does not always mean triviality: introduction of popularity criteria to improve the accuracy of a recommender system | 2017 | Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIO | JOURNAL OF COMPUTERS | |
| A frequency-domain-based pattern mining for credit card fraud detection | 2017 | Saia, Roberto; Carta, SALVATORE MARIO | SciTePress | |
| The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle | 2017 | Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Manca, Matteo; Mulas, Fabrizio; Pilloni, Paolo | PERVASIVE AND MOBILE COMPUTING | |
| Exploiting a determinant-based metric to evaluate a word-embeddings matrix of Items | 2017 | Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Saia, Roberto | ||
| A fourier spectral pattern analysis to design credit scoring models | 2017 | Saia, Roberto; Carta, Salvatore | Association for Computing Machinery (ACM) | |
| Evaluating credit card transactions in the frequency domain for a proactive fraud detection approach | 2017 | Saia, Roberto; Carta, Salvatore | SciTePress | |
| Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS) | 2017 | Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni | Association for Computing Machinery (ACM) | |
| Recommendation in persuasive eHealth systems: An effective strategy to spot users' losing motivation to exercise | 2017 | Pilloni, Paolo; Piras, Luca; Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni; Mulas, Fabrizio | ||
| Exploiting the evaluation frequency of the items to enhance the recommendation accuracy | 2017 | Saia R; Boratto L; Carta S | ||
| An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes | 2017 | Boratto, Ludovico; Carta, Salvatore; Mulas, Fabrizio; Pilloni, Paolo | PERSONAL AND UBIQUITOUS COMPUTING | |
| Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios | 2017 | Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni | INFORMATION SCIENCES | |
| Semantics-aware content-based recommender systems: Design and architecture guidelines | 2017 | Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni; Saia, Roberto | NEUROCOMPUTING | |
| A class-based strategy to user behavior modeling in recommender systems | 2016 | Saia, R; Boratto, L; Carta, S | Springer | |
| A linear-dependence-based approach to design proactive credit scoring models | 2016 | Saia R; Carta S | SciTePress | |
| Introducing a weighted ontology to improve the graph-based semantic similarity measures | 2016 | Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIO | INTERNATIONAL JOURNAL OF SIGNAL PROCESSING SYSTEMS | |
| An entropy based algorithm for credit scoring | 2016 | Saia R; Carta S | ||
| Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion | 2016 | Boratto L; Carta S; Saia R | CEUR-WS.org | |
| Workshop on engineering human-computer interaction in recommender systems | 2016 | Boratto, Ludovico; Spano, LUCIO DAVIDE; Carta, SALVATORE MARIO; Fenu, Gianni | Association for Computing Machinery (ACM) | |
| Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting | 2016 | Saia, Roberto; Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni | FUTURE GENERATION COMPUTER SYSTEMS | |
| Representing items as word-embedding vectors and generating recommendations by measuring their linear independence | 2016 | Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni; Saia, Roberto | CEUR WORKSHOP PROCEEDINGS | CEUR-WS |
| Keep the beat: Audio guidance for runner training | 2016 | Balvis, Luca; Boratto, Ludovico; Mulas, Fabrizio; Spano, LUCIO DAVIDE; Carta, SALVATORE MARIO; Fe...nu, Gianni | LECTURE NOTES IN COMPUTER SCIENCE | Springer |
| A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system | 2016 | Saia, Roberto; Boratto, Ludovico; Carta, SALVATORE MARIO | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | |
| Influence of rating prediction on group recommendation's accuracy | 2016 | Boratto, Ludovico; Carta, SALVATORE MARIO; Fenu, Gianni; Mulas, Fabrizio; Pilloni, Paolo | IEEE INTELLIGENT SYSTEMS | |
| Preface | 2016 | Spano, L.D.; Boratto, L.; Carta, S.M.; Fenu, G. | Fenu G., Spano L.D. | |
| Analysis of the properties that affect the accuracy of a group recommender system | 2016 | Boratto, Ludovico; Carta, Salvatore; Fenu, Gianni |
