Salvatore Carta

Orcid: 0000-0001-9481-511X

According to our database1, Salvatore Carta authored at least 142 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Multi-scale deep learning ensemble for segmentation of endometriotic lesions.
Neural Comput. Appl., August, 2024

Artificial Intelligence Methods for Smart Cities.
Sensors, April, 2024

Enhancing workplace safety: A flexible approach for personal protective equipment monitoring.
Expert Syst. Appl., March, 2024

CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis.
Digit. Signal Process., 2024

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection.
CoRR, 2024

RoadSense3D: A Framework for Roadside Monocular 3D Object Detection.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Towards Zero-shot Knowledge Graph building: Automated Schema Inference.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Towards Knowledge Graph Refinement: Misdirected Triple Identification.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Instruct Large Language Models for Public Administration Document Information Extraction.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Sustainable Certification of Local Communities Data through Smart Contracts.
Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

2023
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research.
Neural Comput. Appl., June, 2023

FootApp: An AI-powered system for football match annotation.
Multim. Tools Appl., February, 2023

Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction.
CoRR, 2023

SailGenie: SAiling expertIse to knowLedge Graph through opEN Information Extraction.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Brain Waves Combined with Evoked Potentials as Biometric Approach for User Identification: A Survey.
Proceedings of the Intelligent Systems and Applications, 2023

Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (full paper).
Proceedings of the 2nd Workshop on Artificial Intelligence for Cultural Heritage (IAI4CH 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
An eXplainable Artificial Intelligence tool for statistical arbitrage.
Softw. Impacts, December, 2022

Fair performance-based user recommendation in eCoaching systems.
User Model. User Adapt. Interact., 2022

Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images.
J. Comput. Sci., 2022

VSTAR: Visual Semantic Thumbnails and tAgs Revitalization.
Expert Syst. Appl., 2022

Statistical arbitrage powered by Explainable Artificial Intelligence.
Expert Syst. Appl., 2022

CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence.
IEEE Access, 2022

Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

A Region-based Training Data Segmentation Strategy to Credit Scoring.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

A Practical Approach for Vehicle Speed Estimation in Smart Cities.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications.
Proceedings of the Advances in Databases and Information Systems, 2022

2021
Event detection in finance using hierarchical clustering algorithms on news and tweets.
PeerJ Comput. Sci., 2021

Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space.
Prog. Artif. Intell., 2021

Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures.
Future Internet, 2021

Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting.
Expert Syst. Appl., 2021

A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning.
Appl. Intell., 2021

Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage.
IEEE Access, 2021

Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting.
IEEE Access, 2021

Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Explainable AI for Financial Forecasting.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook.
User Model. User Adapt. Interact., 2020

Popularity Prediction of Instagram Posts.
Inf., 2020

Deep learning and time series-to-image encoding for financial forecasting.
IEEE CAA J. Autom. Sinica, 2020

Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact.
Future Gener. Comput. Syst., 2020

A combined entropy-based approach for a proactive credit scoring.
Eng. Appl. Artif. Intell., 2020

Efficient Thumbnail Identification through Object Recognition.
Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020

Automated Tag Enrichment by Semantically Related Trends.
Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020

A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting.
Proceedings of the ICFNDS '20: The 4th International Conference on Future Networks and Distributed Systems, 2020

A Feature Space Transformation to Intrusion Detection Systems.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

A Voice User Interface for football event tagging applications.
Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model.
J. Inf. Secur. Appl., 2019

Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data.
Future Internet, 2019

Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks.
Future Gener. Comput. Syst., 2019

A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading.
Comput., 2019

Internet of Entities (IoE): A Blockchain-based Distributed Paradigm for Data Exchange between Wireless-based Devices.
Proceedings of the 8th International Conference on Sensor Networks, 2019

A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019

A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system.
Inf. Syst. Frontiers, 2018

Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era.
Inf. Syst. Frontiers, 2018

Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation.
Computer, 2018

NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Predicting Workout Quality to Help Coaches Support Sportspeople.
Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

A Wavelet-based Data Analysis to Credit Scoring.
Proceedings of the 2nd International Conference on Digital Signal Processing, 2018

A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users.
Proceedings of the Advances in Information Retrieval, 2018

2017
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes.
Pers. Ubiquitous Comput., 2017

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., 2017

Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System.
J. Comput., 2017

Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios.
Inf. Sci., 2017

Semantics-aware content-based recommender systems: Design and architecture guidelines.
Neurocomputing, 2017

Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017

Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise.
Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017

A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection.
Proceedings of the 2nd International Conference on Internet of Things, 2017

A fourier spectral pattern analysis to design credit scoring models.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS).
Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2017

2016
Using neural word embeddings to model user behavior and detect user segments.
Knowl. Based Syst., 2016

A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system.
J. Intell. Inf. Syst., 2016

Introduction to the Special Issue on Human-Computer Interaction and the Social Web.
Future Internet, 2016

Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting.
Future Gener. Comput. Syst., 2016

Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering.
Future Gener. Comput. Syst., 2016

Influence of Rating Prediction on Group Recommendation's Accuracy.
IEEE Intell. Syst., 2016

Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform.
Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016

An Entropy Based Algorithm for Credit Scoring.
Proceedings of the Research and Practical Issues of Enterprise Information Systems, 2016

Keep the Beat: Audio Guidance for Runner Training.
Proceedings of the Human-Centered and Error-Resilient Systems Development, 2016

Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Introducing a Vector Space Model to Perform a Proactive Credit Scoring.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016

A Linear-dependence-based Approach to Design Proactive Credit Scoring Models.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy.
Proceedings of the Global Summit on Computer & Information Technology, 2016

Analysis of the Properties that Affect the Accuracy of a Group Recommender System.
Proceedings of the Global Summit on Computer & Information Technology, 2016

Workshop on engineering human-computer interaction in recommender systems.
Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016

Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion.
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, 2016

2015
ART: group recommendation approaches for automatically detected groups.
Int. J. Mach. Learn. Cybern., 2015

The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation.
J. Intell. Inf. Syst., 2015

Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams.
Proceedings of the KDIR 2015, 2015

A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Modeling the Preferences of a Group of Users Detected by Clustering: a Group Recommendation Case-Study.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System.
Proceedings of the ICEIS 2014, 2014

Semantic Coherence-based User Profile Modeling in the Recommender Systems Context.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Experiences from a Long Run with a Virtual Personal Trainer.
Proceedings of the Universal Access in Human-Computer Interaction. Design for All and Accessibility Practice, 2014

Impact of Content Novelty on the Accuracy of a Group Recommender System.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System.
Proceedings of the Data Management Technologies and Applications, 2014

Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System.
Proceedings of the DATA 2014, 2014

2013
Assessing the User Experience Design as a Persuasive Methodology in a Real World Sport Application.
Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia, 2013

Using new communication technologies and social media interaction to improve the motivation of users to exercise.
Proceedings of the Second International Conference on Future Generation Communication Technologies (FGCT 2013), 2013

Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users.
Proceedings of the IEEE 4th International Conference on Cognitive Infocommunications, 2013

2011
State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups.
Proceedings of the Information Retrieval and Mining in Distributed Environments, 2011

Everywhere run: a virtual personal trainer for supporting people in their running activity.
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, 2011

2010
Network-adaptive management of computation energy in wireless sensor networks.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Groups Identification and Individual Recommendations in Group Recommendation Algorithms.
Proceedings of the Workshop on the Practical Use of Recommender Systems, 2010

2009
Thermal Balancing Policy for Multiprocessor Stream Computing Platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

A Feedback-Based Approach to DVFS in Data-Flow Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

Group Recommendation with Automatic Identification of Users Communities.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

RATC: A Robust Automated Tag Clustering Technique.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009

2008
Assessing Task Migration Impact on Embedded Soft Real-Time Streaming Multimedia Applications.
EURASIP J. Embed. Syst., 2008

Temperature and Leakage Aware Power Control for Embedded Streaming Applications.
Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008

Thermal Balancing Policy for Streaming Computing on Multiprocessor Architectures.
Proceedings of the Design, Automation and Test in Europe, 2008

2007
Area and Power Modeling for Networks-on-Chip with Layout Awareness.
VLSI Design, 2007

Synthesis of Predictable Networks-on-Chip-Based Interconnect Architectures for Chip Multiprocessors.
IEEE Trans. Very Large Scale Integr. Syst., 2007

A control theoretic approach to energy-efficient pipelined computation in MPSoCs.
ACM Trans. Embed. Comput. Syst., 2007

A Layout-Aware Analysis of Networks-on-Chip and Traditional Interconnects for MPSoCs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007

MiGra: A Task Migration Algorithm for Reducing Temperature Gradient in Multiprocessor Systems on Chip.
Proceedings of the International Symposium on System-on-Chip, 2007

Multi-processor operating system emulation framework with thermal feedback for systems-on-chip.
Proceedings of the 17th ACM Great Lakes Symposium on VLSI 2007, 2007

Impact of Task Migration on Streaming Multimedia for Embedded Multiprocessors: A Quantitative Evaluation.
Proceedings of the 2007 5th Workshop on Embedded Systems for Real-Time Multimedia, 2007

On the impact of serialization on the cache performances in Network-on-Chip based MPSoCs.
Proceedings of the Tenth Euromicro Conference on Digital System Design: Architectures, 2007

2006
Reconfigurable Coprocessor for Multimedia Application Domain.
J. VLSI Signal Process., 2006

Designing Routing and Message-Dependent Deadlock Free Networks on Chips.
Proceedings of the VLSI-SoC: Research Trends in VLSI and Systems on Chip, 2006

Designing Message-Dependent Deadlock Free Networks on Chips for Application-Specific Systems on Chips.
Proceedings of the IFIP VLSI-SoC 2006, 2006

Exploiting Memory-Boundedness in Energy-Efficient Hard Real-Time Scheduling.
Proceedings of the International Symposium on Industrial Embedded Systems, 2006

Non-Linear Feedback Control for Energy Efficient On-Chip Streaming Computation.
Proceedings of the International Symposium on Industrial Embedded Systems, 2006

Routing Aware Switch Hardware Customization for Networks on Chips.
Proceedings of the 1st International ICST Conference on Nano-Networks, 2006

Area and Power Modeling Methodologies for Networks-on-Chip.
Proceedings of the 1st International ICST Conference on Nano-Networks, 2006

Designing application-specific networks on chips with floorplan information.
Proceedings of the 2006 International Conference on Computer-Aided Design, 2006

Automatic Application Partitioning on FPGA/CPU Systems Based on Detailed Low-Level Information.
Proceedings of the Ninth Euromicro Conference on Digital System Design: Architectures, Methods and Tools (DSD 2006), 30 August, 2006

Contrasting a NoC and a traditional interconnect fabric with layout awareness.
Proceedings of the Conference on Design, Automation and Test in Europe, 2006

A control theoretic approach to run-time energy optimization of pipelined processing in MPSoCs.
Proceedings of the Conference on Design, Automation and Test in Europe, 2006

2005
Networks on Chips: A Synthesis Perspective.
Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005

xpipes Lite: A Synthesis Oriented Design Library For Networks on Chips.
Proceedings of the 2005 Design, 2005

2002
Processing time saving in low power voice coding applications using synchronous reconfigurable co-processing architecture.
Proceedings of the 2002 9th IEEE International Conference on Electronics, 2002

1999
A modular digital VLSI architecture for stereo depth estimation in industrial applications.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999


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