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Salvatore M. Carta
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2020 – today
- 2024
[j52]Alessandro Sebastian Podda
, Riccardo Balia, Livio Pompianu, Salvatore Carta, Gianni Fenu, Roberto Saia:
CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis. Digit. Signal Process. 147: 104431 (2024)- [j51]Alessia Pisu, Nicola Elia, Livio Pompianu, Francesco Barchi, Andrea Acquaviva, Salvatore Carta:
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring. Expert Syst. Appl. 238(Part F): 122285 (2024) - [j50]Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Manuela Neri, Stefano Guerriero, Leonardo Piano:
Multi-scale deep learning ensemble for segmentation of endometriotic lesions. Neural Comput. Appl. 36(24): 14895-14908 (2024) - [j49]Alessandro Sebastian Podda, Salvatore Carta, Silvio Barra:
Artificial Intelligence Methods for Smart Cities. Sensors 24(8): 2615 (2024) - [c87]Alessia Pisu, Livio Pompianu, Salvatore Castello, Daniele Riboni, Salvatore Carta:
Sustainable Certification of Local Communities Data through Smart Contracts. GoodIT 2024: 420-428 - [c86]Salvatore Carta, Alessandro Giuliani, Marco Manolo Manca, Leonardo Piano, Alessia Pisu, Sandro Gabriele Tiddia:
Instruct Large Language Models for Public Administration Document Information Extraction. Ital-IA 2024: 424-429 - [c85]Salvatore Carta, Alessandro Giuliani, Marco Manolo Manca, Leonardo Piano, Livio Pompianu, Sandro Gabriele Tiddia:
Towards Knowledge Graph Refinement: Misdirected Triple Identification. UMAP (Adjunct Publication) 2024 - [c84]Salvatore Carta, Alessandro Giuliani, Marco Manolo Manca, Leonardo Piano, Sandro Gabriele Tiddia:
Towards Zero-shot Knowledge Graph building: Automated Schema Inference. UMAP (Adjunct Publication) 2024 - [c83]Salvatore Carta, Modesto Castrillón Santana, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia, Marco Sau, Walter Zimmer:
RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. UMAP (Adjunct Publication) 2024 - [i5]Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón Santana, Mohan M. Trivedi, Alois Knoll, Salvatore M. Carta, Mirko Marras:
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. CoRR abs/2408.15637 (2024) - 2023
- [j48]Silvio Barra, Salvatore M. Carta, Alessandro Giuliani, Alessia Pisu, Alessandro Sebastian Podda, Daniele Riboni:
FootApp: An AI-powered system for football match annotation. Multim. Tools Appl. 82(4): 5547-5567 (2023) - [j47]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research. Neural Comput. Appl. 35(16): 11625-11651 (2023) - [c82]Salvatore Carta, Gianni Fenu, Alessandro Giuliani, Marco Manolo Manca, Mirko Marras, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia:
Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (full paper). IAI4CH@AI*IA 2023: 83-91 - [c81]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
Brain Waves Combined with Evoked Potentials as Biometric Approach for User Identification: A Survey. IntelliSys (2) 2023: 718-734 - [c80]Salvatore Carta, Pietro Fariello, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Sandro Gabriele Tiddia:
SailGenie: SAiling expertIse to knowLedge Graph through opEN Information Extraction. KES 2023: 2224-2233 - [i4]Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia:
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. CoRR abs/2307.01128 (2023) - 2022
- [j46]Salvatore M. Carta, Sergio Consoli, Alessandro Giuliani, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence. IEEE Access 10: 127328-127344 (2022) - [j45]Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization. Expert Syst. Appl. 193: 116375 (2022) - [j44]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Statistical arbitrage powered by Explainable Artificial Intelligence. Expert Syst. Appl. 206: 117763 (2022) - [j43]Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Leonardo Piano:
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images. J. Comput. Sci. 63: 101816 (2022) - [j42]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
An eXplainable Artificial Intelligence tool for statistical arbitrage. Softw. Impacts 14: 100354 (2022) - [j41]Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni:
Fair performance-based user recommendation in eCoaching systems. User Model. User Adapt. Interact. 32(5): 839-881 (2022) - [c79]Nicola Elia, Francesco Barchi, Emanuele Parisi, Livio Pompianu, Salvatore Carta, Andrea Bartolini, Andrea Acquaviva:
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications. ADBIS 2022: 377-391 - [c78]Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A Practical Approach for Vehicle Speed Estimation in Smart Cities. LOD (1) 2022: 253-267 - [c77]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
A Region-based Training Data Segmentation Strategy to Credit Scoring. SECRYPT 2022: 275-282 - [c76]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach. SECRYPT 2022: 614-619 - 2021
- [j40]Salvatore M. Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. IEEE Access 9: 29942-29959 (2021) - [j39]Salvatore M. Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. IEEE Access 9: 30193-30205 (2021) - [j38]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. Appl. Intell. 51(2): 889-905 (2021) - [j37]Salvatore Carta, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Antonio Sanna:
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting. Expert Syst. Appl. 164: 113820 (2021) - [j36]Roberto Saia, Salvatore Carta, Olaf Bergmann:
Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures. Future Internet 13(9): 240 (2021) - [j35]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space. Prog. Artif. Intell. 10(4): 417-432 (2021) - [j34]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Event detection in finance using hierarchical clustering algorithms on news and tweets. PeerJ Comput. Sci. 7: e438 (2021) - [c75]Roberto Saia, Alessandro Giuliani, Livio Pompianu, Salvatore Carta:
From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution. KDIR 2021: 164-171 - [c74]Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda, Nicola Sansoni:
A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition. ICCSA (3) 2021: 211-226 - [c73]Simone Angioni, Salvatore Carta, Sergio Consoli, Diego Reforgiato Recupero, Maria Madalina Stanciu:
A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction. ICFNDS 2021: 616-624 - [c72]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Explainable AI for Financial Forecasting. LOD 2021: 51-69 - [c71]Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda:
Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection. PerCom Workshops 2021: 154-159 - [i3]Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda:
Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection. CoRR abs/2103.01506 (2021) - [i2]Silvio Barra, Salvatore M. Carta, Alessandro Giuliani, Alessia Pisu, Alessandro Sebastian Podda, Daniele Riboni:
FootApp: an AI-Powered System for Football Match Annotation. CoRR abs/2103.02938 (2021) - 2020
- [j33]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Marco Saia, Roberto Saia:
A combined entropy-based approach for a proactive credit scoring. Eng. Appl. Artif. Intell. 87 (2020) - [j32]Massimo Bartoletti, Salvatore Carta, Tiziana Cimoli, Roberto Saia:
Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact. Future Gener. Comput. Syst. 102: 259-277 (2020) - [j31]Silvio Barra, Salvatore M. Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Deep learning and time series-to-image encoding for financial forecasting. IEEE CAA J. Autom. Sinica 7(3): 683-692 (2020) - [j30]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai:
Popularity Prediction of Instagram Posts. Inf. 11(9): 453 (2020) - [j29]Ludovico Boratto, Salvatore Carta, Federico Ibba, Fabrizio Mulas, Paolo Pilloni:
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook. User Model. User Adapt. Interact. 30(3): 395-411 (2020) - [c70]Silvio Barra, Alessandro Carcangiu, Salvatore Carta, Alessandro Sebastian Podda, Daniele Riboni:
A Voice User Interface for football event tagging applications. AVI 2020: 75:1-75:3 - [c69]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
A Feature Space Transformation to Intrusion Detection Systems. KDIR 2020: 137-144 - [c68]Salvatore Carta, Sergio Consoli, Andrea Corriga, Raffaele Dapiaggi, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting. ICFNDS 2020: 46:1-46:6 - [c67]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. LOD (1) 2020: 162-176 - [c66]Salvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Maria Madalina Stanciu:
A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. LOD (1) 2020: 489-503 - [c65]Antonella Arca, Salvatore Carta, Alessandro Giuliani, Maria Madalina Stanciu, Diego Reforgiato Recupero:
Automated Tag Enrichment by Semantically Related Trends. WEBIST 2020: 183-193 - [c64]Salvatore Carta, Eugenio Gaeta, Alessandro Giuliani, Leonardo Piano, Diego Reforgiato Recupero:
Efficient Thumbnail Identification through Object Recognition. WEBIST 2020: 209-216
2010 – 2019
- 2019
- [j28]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. Comput. 7(4): 67 (2019) - [j27]Roberto Saia, Salvatore Carta:
Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks. Future Gener. Comput. Syst. 93: 18-32 (2019) - [j26]Salvatore Carta, Andrea Medda, Alessio Pili, Diego Reforgiato Recupero, Roberto Saia:
Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. Future Internet 11(1): 5 (2019) - [j25]Salvatore Carta, Gianni Fenu, Diego Reforgiato Recupero, Roberto Saia:
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model. J. Inf. Secur. Appl. 46: 13-22 (2019) - [c63]Salvatore Carta, Andrea Corriga, Riccardo Mulas, Diego Reforgiato Recupero, Roberto Saia:
A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. KDIR 2019: 105-112 - [c62]Salvatore Carta, Gianni Fenu, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance. IC3K 2019: 134-157 - [c61]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Marco Saia:
A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. KDIR 2019: 202-213 - [c60]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Maria Madalina Stanciu:
A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. KDIR 2019: 322-329 - [c59]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
Internet of Entities (IoE): A Blockchain-based Distributed Paradigm for Data Exchange between Wireless-based Devices. SENSORNETS 2019: 77-84 - 2018
- [j24]Paolo Pilloni, Luca Piras, Salvatore Carta, Gianni Fenu, Fabrizio Mulas, Ludovico Boratto:
Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation. Computer 51(3): 36-42 (2018) - [j23]Matteo Manca, Ludovico Boratto, Salvatore Carta:
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system. Inf. Syst. Frontiers 20(4): 825-839 (2018) - [j22]Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca:
Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era. Inf. Syst. Frontiers 20(6): 1153-1156 (2018) - [c58]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Luca Piras:
Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users. ECIR 2018: 371-382 - [c57]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero:
A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. KDIR 2018: 139-146 - [c56]Roberto Saia, Salvatore Carta, Gianni Fenu:
A Wavelet-based Data Analysis to Credit Scoring. ICDSP 2018: 176-180 - [c55]Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni:
Predicting Workout Quality to Help Coaches Support Sportspeople. HealthRecSys@RecSys 2018: 8-12 - [c54]Giuliano Armano, Sebastiano Battiato, Davide Bennato, Ludovico Boratto, Salvatore M. Carta, Tommaso Di Noia, Eugenio Di Sciascio, Alessandro Ortis, Diego Reforgiato Recupero:
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. SEBD 2018 - 2017
- [j21]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Semantics-aware content-based recommender systems: Design and architecture guidelines. Neurocomputing 254: 79-85 (2017) - [j20]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios. Inf. Sci. 378: 424-443 (2017) - [j19]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. J. Comput. 12(1): 1-9 (2017) - [j18]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Matteo Manca, Fabrizio Mulas, Paolo Pilloni:
The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle. Pervasive Mob. Comput. 36: 98-114 (2017) - [j17]Ludovico Boratto, Salvatore Carta, Fabrizio Mulas, Paolo Pilloni:
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes. Pers. Ubiquitous Comput. 21(4): 689-704 (2017) - [c53]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS). EICS 2017: 161-163 - [c52]Roberto Saia, Salvatore Carta:
A fourier spectral pattern analysis to design credit scoring models. IML 2017: 18:1-18:10 - [c51]Roberto Saia, Salvatore Carta:
A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection. IoTBDS 2017: 386-391 - [c50]Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas:
Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. HealthRecSys@RecSys 2017: 6-9 - [c49]Roberto Saia, Salvatore Carta:
Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach. SECRYPT 2017: 335-342 - [e2]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), Lisbon, Portugal, June 26, 2017. CEUR Workshop Proceedings 1945, CEUR-WS.org 2017 [contents] - [i1]Massimo Bartoletti, Salvatore Carta, Tiziana Cimoli, Roberto Saia:
Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact. CoRR abs/1703.03779 (2017) - 2016
- [j16]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas, Paolo Pilloni:
Influence of Rating Prediction on Group Recommendation's Accuracy. IEEE Intell. Syst. 31(6): 22-27 (2016) - [j15]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering. Future Gener. Comput. Syst. 64: 165-174 (2016) - [j14]Roberto Saia, Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting. Future Gener. Comput. Syst. 64: 186-197 (2016) - [j13]Salvatore Carta, Ludovico Boratto:
Introduction to the Special Issue on Human-Computer Interaction and the Social Web. Future Internet 8(3): 43 (2016) - [j12]Roberto Saia, Ludovico Boratto, Salvatore Carta:
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system. J. Intell. Inf. Syst. 47(1): 111-134 (2016) - [j11]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Using neural word embeddings to model user behavior and detect user segments. Knowl. Based Syst. 108: 5-14 (2016) - [c48]Ludovico Boratto, Salvatore Carta, Roberto Saia:
Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion. EnCHIReS@EICS 2016: 44-53 - [c47]Ludovico Boratto, Lucio Davide Spano, Salvatore Carta, Gianni Fenu:
Workshop on engineering human-computer interaction in recommender systems. EICS 2016: 301-302 - [c46]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Analysis of the Properties that Affect the Accuracy of a Group Recommender System. GSCIT 2016: 102-107 - [c45]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. GSCIT 2016: 108-113 - [c44]Roberto Saia, Salvatore Carta:
A Linear-dependence-based Approach to Design Proactive Credit Scoring Models. KDIR 2016: 111-120 - [c43]Roberto Saia, Salvatore Carta:
Introducing a Vector Space Model to Perform a Proactive Credit Scoring. IC3K 2016: 125-148 - [c42]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items. ICDM Workshops 2016: 984-991 - [c41]Luca Balvis, Ludovico Boratto, Fabrizio Mulas, Lucio Davide Spano, Salvatore Carta, Gianni Fenu:
Keep the Beat: Audio Guidance for Runner Training. HCSE/HESSD 2016: 246-257 - [c40]Roberto Saia, Salvatore Carta:
An Entropy Based Algorithm for Credit Scoring. CONFENIS 2016: 263-276 - [c39]Ludovico Boratto, Mattia Cadeddu, Salvatore Carta, Gianni Deplano, Fabio Mereu:
A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform. KDWeb 2016 - [c38]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. RecSys Posters 2016 - [e1]Ludovico Boratto, Lucio Davide Spano, Salvatore Carta, Gianni Fenu:
Proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the eight ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EnCHIReS@EICS 2016, Bruxelles, Belgium, June 21, 2016. CEUR Workshop Proceedings 1705, CEUR-WS.org 2016 [contents] - 2015
- [j10]Ludovico Boratto, Salvatore Carta:
The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation. J. Intell. Inf. Syst. 45(2): 221-245 (2015) - [j9]Ludovico Boratto, Salvatore Carta:
ART: group recommendation approaches for automatically detected groups. Int. J. Mach. Learn. Cybern. 6(6): 953-980 (2015) - [c37]Roberto Saia, Ludovico Boratto, Salvatore Carta:
A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. BigData Congress 2015: 491-498 - [c36]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. KDIR 2015: 496-503 - 2014
- [c35]Matteo Manca, Ludovico Boratto, Salvatore Carta:
Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System. DATA (Revised Selected Papers) 2014: 99-116 - [c34]Matteo Manca, Ludovico Boratto, Salvatore Carta:
Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System. DATA 2014: 331-338 - [c33]Ludovico Boratto, Salvatore Carta:
Impact of Content Novelty on the Accuracy of a Group Recommender System. DaWaK 2014: 159-170 - [c32]Paolo Pilloni, Lucio Davide Spano, Fabrizio Mulas, Gianni Fenu, Salvatore Carta:
Experiences from a Long Run with a Virtual Personal Trainer. HCI (7) 2014: 601-612 - [c31]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. KDIR 2014: 154-161 - [c30]Ludovico Boratto, Salvatore Carta:
Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System. ICEIS (2) 2014: 564-572 - [c29]Ludovico Boratto, Salvatore Carta:
Modeling the Preferences of a Group of Users Detected by Clustering: a Group Recommendation Case-Study. WIMS 2014: 16:1-16:7 - 2013
- [c28]Fabrizio Mulas, Paolo Pilloni, Matteo Manca, Ludovico Boratto, Salvatore Carta:
Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users. CogInfoCom 2013: 351-356 - [c27]Fabrizio Mulas, Paolo Pilloni, Matteo Manca, Ludovico Boratto, Salvatore Carta:
Using new communication technologies and social media interaction to improve the motivation of users to exercise. FGCT 2013: 87-92 - [c26]Paolo Pilloni, Fabrizio Mulas, Luisella Piredda, Salvatore Carta:
Assessing the User Experience Design as a Persuasive Methodology in a Real World Sport Application. MoMM 2013: 387 - 2011
- [c25]Fabrizio Mulas, Salvatore Carta, Paolo Pilloni, Matteo Manca:
Everywhere run: a virtual personal trainer for supporting people in their running activity. Advances in Computer Entertainment Technology 2011: 70 - [p1]Ludovico Boratto, Salvatore Carta:
State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. Information Retrieval and Mining in Distributed Environments 2011: 1-20 - 2010
- [c24]Ludovico Boratto, Salvatore Carta, Michele Satta:
Groups Identification and Individual Recommendations in Group Recommendation Algorithms. PRSAT@RecSys 2010: 27-34 - [c23]Fabrizio Mulas, Andrea Acquaviva, Salvatore Carta, Gianni Fenu, Davide Quaglia, Franco Fummi:
Network-adaptive management of computation energy in wireless sensor networks. SAC 2010: 756-763
2000 – 2009
- 2009
- [j8]Andrea Alimonda, Salvatore Carta, Andrea Acquaviva, Alessandro Pisano, Luca Benini:
A Feedback-Based Approach to DVFS in Data-Flow Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(11): 1691-1704 (2009) - [j7]Fabrizio Mulas, David Atienza, Andrea Acquaviva, Salvatore Carta, Luca Benini, Giovanni De Micheli:
Thermal Balancing Policy for Multiprocessor Stream Computing Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(12): 1870-1882 (2009) - [c22]Ludovico Boratto, Salvatore Carta, Eloisa Vargiu:
RATC: A Robust Automated Tag Clustering Technique. EC-Web 2009: 324-335 - [c21]Ludovico Boratto, Salvatore Carta, Alessandro Chessa, Maurizio Agelli, Maria Laura Clemente:
Group Recommendation with Automatic Identification of Users Communities. Web Intelligence/IAT Workshops 2009: 547-550 - 2008
- [j6]Andrea Acquaviva, Andrea Alimonda, Salvatore Carta, Michele Pittau:
Assessing Task Migration Impact on Embedded Soft Real-Time Streaming Multimedia Applications. EURASIP J. Embed. Syst. 2008 (2008) - [c20]Fabrizio Mulas, Michele Pittau, Marco Buttu, Salvatore Carta, Andrea Acquaviva, Luca Benini, David Atienza, Giovanni De Micheli:
Thermal Balancing Policy for Streaming Computing on Multiprocessor Architectures. DATE 2008: 734-739 - [c19]Andrea Alimonda, Andrea Acquaviva, Salvatore Carta:
Temperature and Leakage Aware Power Control for Embedded Streaming Applications. DSD 2008: 107-114 - 2007
- [j5]Federico Angiolini, Paolo Meloni, Salvatore Carta, Luigi Raffo, Luca Benini:
A Layout-Aware Analysis of Networks-on-Chip and Traditional Interconnects for MPSoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26(3): 421-434 (2007) - [j4]Salvatore Carta, Andrea Alimonda, Alessandro Pisano, Andrea Acquaviva, Luca Benini:
A control theoretic approach to energy-efficient pipelined computation in MPSoCs. ACM Trans. Embed. Comput. Syst. 6(4): 27 (2007) - [j3]Srinivasan Murali, David Atienza, Paolo Meloni, Salvatore Carta, Luca Benini, Giovanni De Micheli, Luigi Raffo:
Synthesis of Predictable Networks-on-Chip-Based Interconnect Architectures for Chip Multiprocessors. IEEE Trans. Very Large Scale Integr. Syst. 15(8): 869-880 (2007) - [j2]Paolo Meloni, Igor Loi, Federico Angiolini, Salvatore Carta, Massimo Barbaro, Luigi Raffo, Luca Benini:
Area and Power Modeling for Networks-on-Chip with Layout Awareness. VLSI Design 2007: 50285:1-50285:12 (2007) - [c18]Paolo Meloni, Giovanni Busonera, Salvatore Carta, Luigi Raffo:
On the impact of serialization on the cache performances in Network-on-Chip based MPSoCs. DSD 2007: 556-562 - [c17]Michele Pittau, Andrea Alimonda, Salvatore Carta, Andrea Acquaviva:
Impact of Task Migration on Streaming Multimedia for Embedded Multiprocessors: A Quantitative Evaluation. ESTIMedia 2007: 59-64 - [c16]Salvatore Carta, Andrea Acquaviva, Pablo García Del Valle, David Atienza, Giovanni De Micheli, Fernando Rincón, Luca Benini, Jose Manuel Mendias:
Multi-processor operating system emulation framework with thermal feedback for systems-on-chip. ACM Great Lakes Symposium on VLSI 2007: 311-316 - [c15]Salvatore Carta, Fabio Mereu, Andrea Acquaviva, Giovanni De Micheli:
MiGra: A Task Migration Algorithm for Reducing Temperature Gradient in Multiprocessor Systems on Chip. SoC 2007: 1-6 - 2006
- [j1]Salvatore Carta, Danilo Pani, Luigi Raffo:
Reconfigurable Coprocessor for Multimedia Application Domain. J. VLSI Signal Process. 44(1-2): 135-152 (2006) - [c14]Federico Angiolini, Paolo Meloni, Salvatore Carta, Luca Benini, Luigi Raffo:
Contrasting a NoC and a traditional interconnect fabric with layout awareness. DATE 2006: 124-129 - [c13]Andrea Alimonda, Andrea Acquaviva, Salvatore Carta, Alessandro Pisano:
A control theoretic approach to run-time energy optimization of pipelined processing in MPSoCs. DATE 2006: 876-877 - [c12]Giovanni Busonera, Salvatore Carta, Andrea Marongiu, Luigi Raffo:
Automatic Application Partitioning on FPGA/CPU Systems Based on Detailed Low-Level Information. DSD 2006: 265-268 - [c11]Srinivasan Murali, Paolo Meloni, Federico Angiolini, David Atienza, Salvatore Carta, Luca Benini, Giovanni De Micheli, Luigi Raffo:
Designing application-specific networks on chips with floorplan information. ICCAD 2006: 355-362 - [c10]Paolo Meloni, Salvatore Carta, Roberto Argiolas, Luigi Raffo, Federico Angiolini:
Area and Power Modeling Methodologies for Networks-on-Chip. Nano-Net 2006: 1-7 - [c9]Paolo Meloni, Srinivasan Murali, Salvatore Carta, Massimo Camplani, Luigi Raffo, Giovanni De Micheli:
Routing Aware Switch Hardware Customization for Networks on Chips. Nano-Net 2006: 1-5 - [c8]Andrea Alimonda, Salvatore Carta, Andrea Acquaviva, Alessandro Pisano:
Non-Linear Feedback Control for Energy Efficient On-Chip Streaming Computation. IES 2006: 1-8 - [c7]M. Spiga, Andrea Alimonda, Salvatore Carta, Francesco Aymerich, Andrea Acquaviva:
Exploiting Memory-Boundedness in Energy-Efficient Hard Real-Time Scheduling. IES 2006: 1-10 - [c6]Srinivasan Murali, Paolo Meloni, Federico Angiolini, David Atienza, Salvatore Carta, Luca Benini, Giovanni De Micheli, Luigi Raffo:
Designing Message-Dependent Deadlock Free Networks on Chips for Application-Specific Systems on Chips. VLSI-SoC 2006: 158-163 - [c5]Srinivasan Murali, Paolo Meloni, Federico Angiolini, David Atienza, Salvatore Carta, Luca Benini, Giovanni De Micheli, Luigi Raffo:
Designing Routing and Message-Dependent Deadlock Free Networks on Chips. VLSI-SoC (Selected Papers) 2006: 337-355 - 2005
- [c4]Stergios Stergiou, Federico Angiolini, Salvatore Carta, Luigi Raffo, Davide Bertozzi, Giovanni De Micheli:
xpipes Lite: A Synthesis Oriented Design Library For Networks on Chips. DATE 2005: 1188-1193 - [c3]Federico Angiolini, Paolo Meloni, Luca Benini, Salvatore Carta, Luigi Raffo:
Networks on Chips: A Synthesis Perspective. PARCO 2005: 745-752 - 2002
- [c2]Salvatore M. Carta, Luigi Raffo:
Processing time saving in low power voice coding applications using synchronous reconfigurable co-processing architecture. ICECS 2002: 529-532
1990 – 1999
- 1999
- [c1]Andrea Alimonda, Salvatore Carta, Luigi Raffo:
A modular digital VLSI architecture for stereo depth estimation in industrial applications. ISCAS (6) 1999: 481-484
Coauthor Index
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