재정 지원 요구사항을 통해 공개된 자료 - Salvatore Mario Carta자세히 알아보기
제공된 곳이 없음: 13
Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering
L Boratto, S Carta, G Fenu
Future Generation Computer Systems 64, 165-174, 2016
재정 지원 요구사항 정책: Government of Italy
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios
L Boratto, S Carta, G Fenu
Information Sciences 378, 424-443, 2017
재정 지원 요구사항 정책: Government of Italy
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system
M Manca, L Boratto, S Carta
Information Systems Frontiers 20, 825-839, 2018
재정 지원 요구사항 정책: Government of Italy
The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle
L Boratto, S Carta, G Fenu, M Manca, F Mulas, P Pilloni
Pervasive and Mobile Computing 36, 98-114, 2017
재정 지원 요구사항 정책: Government of Spain, Government of Italy
Recommender system lets coaches identify and help athletes who begin losing motivation
P Pilloni, L Piras, S Carta, G Fenu, F Mulas, L Boratto
Computer 51 (3), 36-42, 2018
재정 지원 요구사항 정책: Government of Italy
Influence of rating prediction on group recommendation's accuracy
L Boratto, S Carta, G Fenu, F Mulas, P Pilloni
IEEE Intelligent Systems 31 (6), 22-27, 2016
재정 지원 요구사항 정책: Government of Italy
Using behavioral data mining to produce friend recommendations in a social bookmarking system
M Manca, L Boratto, S Carta
Data Management Technologies and Applications: Third International …, 2015
재정 지원 요구사항 정책: Government of Italy
Assessing the user experience design as a persuasive methodology in a real world sport application
P Pilloni, F Mulas, L Piredda, S Carta
Proceedings of International Conference on Advances in Mobile Computing …, 2013
재정 지원 요구사항 정책: Government of Spain, Government of Italy
Influence of rating prediction on the accuracy of a group recommender system that detects groups
L Boratto, S Carta, G Fenu, F Mulas, P Pilloni
IEEE Intell. Syst 1, 2017
재정 지원 요구사항 정책: Government of Italy
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users’ sharing behavior on Facebook
L Boratto, S Carta, F Ibba, F Mulas, P Pilloni
User Modeling and User-Adapted Interaction 30 (3), 395-411, 2020
재정 지원 요구사항 정책: Government of Italy
Analysis of the properties that affect the accuracy of a group recommender system
L Boratto, S Carta, G Fenu
2016 Global Summit on Computer & Information Technology (GSCIT), 102-107, 2016
재정 지원 요구사항 정책: Government of Italy
Up School: Introduction of Pervasive Learning Technologies to Enhance Classic Educational Models
P Garau, L Boratto, S Carta, G Fenu
Bulletin of the Technical Committee on Learning Technology 17 (3), 10-13, 2015
재정 지원 요구사항 정책: Government of Italy
Employing Document Embeddings to Solve the “New Catalog” Problem in User Targeting, and Provide Explanations to the Users
L Boratto, S Carta, G Fenu, L Piras
Advances in Information Retrieval: 40th European Conference on IR Research …, 2018
재정 지원 요구사항 정책: Government of Italy
제공된 곳이 있음: 54
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
S Carta, A Corriga, A Ferreira, AS Podda, DR Recupero
Applied Intelligence 51, 889-905, 2021
재정 지원 요구사항 정책: Government of Spain
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model
S Carta, G Fenu, DR Recupero, R Saia
Journal of Information Security and Applications 46, 13-22, 2019
재정 지원 요구사항 정책: Government of Italy
Explainable machine learning exploiting news and domain-specific lexicon for stock market forecasting
SM Carta, S Consoli, L Piras, AS Podda, DR Recupero
IEEE Access 9, 30193-30205, 2021
재정 지원 요구사항 정책: Government of Spain
Forecasting e-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and google trends data
S Carta, A Medda, A Pili, D Reforgiato Recupero, R Saia
Future Internet 11 (1), 5, 2018
재정 지원 요구사항 정책: Government of Italy
Semantics-aware content-based recommender systems: Design and architecture guidelines
L Boratto, S Carta, G Fenu, R Saia
Neurocomputing 254, 79-85, 2017
재정 지원 요구사항 정책: Government of Italy
Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks
R Saia, S Carta
Future Generation Computer Systems 93, 18-32, 2019
재정 지원 요구사항 정책: Government of Italy
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes
L Boratto, S Carta, F Mulas, P Pilloni
Personal and Ubiquitous Computing 21, 689-704, 2017
재정 지원 요구사항 정책: Government of Italy
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