Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. - Roberto Saia; Ludovico Boratto; Salvatore Carta (KDIR, 2014)

A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. - Roberto Saia; Ludovico Boratto; Salvatore Carta (BigData Congress, 2015)

Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. - Roberto Saia; Ludovico Boratto; Salvatore Carta (KDIR, 2015)

Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion. - Ludovico Boratto; Salvatore Carta; Roberto Saia (EnCHIReS@EICS, 2016)

Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. - Roberto Saia; Ludovico Boratto; Salvatore Carta (GSCIT, 2016)

A Linear-dependence-based Approach to Design Proactive Credit Scoring Models. - Roberto Saia; Salvatore Carta (KDIR, 2016)

Introducing a Vector Space Model to Perform a Proactive Credit Scoring. - Roberto Saia; Salvatore Carta (IC3K, 2016)

Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (ICDM Workshops, 2016)

An Entropy Based Algorithm for Credit Scoring. - Roberto Saia; Salvatore Carta (CONFENIS, 2016)

Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (RecSys Posters, 2016)

Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting. - Roberto Saia; Ludovico Boratto; Salvatore Carta; Gianni Fenu (Future Gener. Comput. Syst., 2016)

A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system. - Roberto Saia; Ludovico Boratto; Salvatore Carta (J. Intell. Inf. Syst., 2016)

Using neural word embeddings to model user behavior and detect user segments. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (Knowl. Based Syst., 2016)

Similarity and diversity: two sides of the same coin in the evaluation of data streams. - Roberto Saia (2016)

A fourier spectral pattern analysis to design credit scoring models. - Roberto Saia; Salvatore Carta (IML, 2017)

A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection. - Roberto Saia; Salvatore Carta (IoTBDS, 2017)

A Discrete Wavelet Transform Approach to Fraud Detection. - Roberto Saia (NSS, 2017)

Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach. - Roberto Saia; Salvatore Carta (SECRYPT, 2017)

Semantics-aware content-based recommender systems: Design and architecture guidelines. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Roberto Saia (Neurocomputing, 2017)

Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. - Roberto Saia; Ludovico Boratto; Salvatore Carta (J. Comput., 2017)

A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero (KDIR, 2018)

A Wavelet-based Data Analysis to Credit Scoring. - Roberto Saia; Salvatore Carta; Gianni Fenu (ICDSP, 2018)

Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis. - Roberto Saia (IoTBDS, 2018)

Internet of Entities (IoE): a Blockchain-based Distributed Paradigm to Security. - Roberto Saia (CoRR, 2018)

A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. - Salvatore Carta; Andrea Corriga; Riccardo Mulas; Diego Reforgiato Recupero; Roberto Saia (KDIR, 2019)

A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance. - Salvatore Carta; Gianni Fenu; Anselmo Ferreira; Diego Reforgiato Recupero; Roberto Saia (IC3K, 2019)

A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero; Gianni Fenu; Marco Saia (KDIR, 2019)

A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero; Gianni Fenu; Maria Madalina Stanciu (KDIR, 2019)

Internet of Entities (IoE): A Blockchain-based Distributed Paradigm for Data Exchange between Wireless-based Devices. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero; Gianni Fenu (SENSORNETS, 2019)

A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. - Salvatore Carta; Andrea Corriga; Anselmo Ferreira; Diego Reforgiato Recupero; Roberto Saia (Comput., 2019)

Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks. - Roberto Saia; Salvatore Carta (Future Gener. Comput. Syst., 2019)

Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. - Salvatore Carta; Andrea Medda; Alessio Pili; Diego Reforgiato Recupero; Roberto Saia (Future Internet, 2019)

Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model. - Salvatore Carta; Gianni Fenu; Diego Reforgiato Recupero; Roberto Saia (J. Inf. Secur. Appl., 2019)

A Feature Space Transformation to Intrusion Detection Systems. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero; Gianni Fenu (KDIR, 2020)

A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. - Salvatore Carta; Diego Reforgiato Recupero; Roberto Saia; Maria Madalina Stanciu (LOD (1), 2020)

Analysis of a Consensus Protocol for Extending Consistent Subchains on the Bitcoin Blockchain. - Riccardo Longo; Alessandro Sebastian Podda; Roberto Saia (Comput., 2020)

A combined entropy-based approach for a proactive credit scoring. - Salvatore Carta; Anselmo Ferreira; Diego Reforgiato Recupero; Marco Saia; Roberto Saia (Eng. Appl. Artif. Intell., 2020)

Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact. - Massimo Bartoletti; Salvatore Carta; Tiziana Cimoli; Roberto Saia (Future Gener. Comput. Syst., 2020)

Popularity Prediction of Instagram Posts. - Salvatore Carta; Alessandro Sebastian Podda; Diego Reforgiato Recupero; Roberto Saia; Giovanni Usai (Inf., 2020)

From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution. - Roberto Saia; Alessandro Giuliani; Livio Pompianu; Salvatore Carta (KDIR, 2021)

Decomposing Training Data to Improve Network Intrusion Detection Performance. - Roberto Saia; Alessandro Sebastian Podda; Gianni Fenu; Riccardo Balia (KDIR, 2021)

Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures. - Roberto Saia; Salvatore Carta; Olaf Bergmann (Future Internet, 2021)

Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space. - Salvatore Carta; Anselmo Ferreira; Diego Reforgiato Recupero; Roberto Saia (Prog. Artif. Intell., 2021)

A Blockchain-Based Distributed Paradigm to Secure Localization Services. - Roberto Saia; Alessandro Sebastian Podda; Livio Pompianu; Diego Reforgiato Recupero; Gianni Fenu (Sensors, 2021)

A comparison of audio-based deep learning methods for detecting anomalous road events. - Riccardo Balia; Alessandro Giuliani; Leonardo Piano; Alessia Pisu; Roberto Saia; Nicola Sansoni (EUSPN/ICTH, 2022)

A Region-based Training Data Segmentation Strategy to Credit Scoring. - Roberto Saia; Salvatore Carta; Gianni Fenu; Livio Pompianu (SECRYPT, 2022)

Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach. - Roberto Saia; Salvatore Carta; Gianni Fenu; Livio Pompianu (SECRYPT, 2022)

Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study. - Silvio Barra; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia (AI*IA, 2023)

Brain Waves Combined with Evoked Potentials as Biometric Approach for User Identification: A Survey. - Roberto Saia; Salvatore Carta; Gianni Fenu; Livio Pompianu (IntelliSys (2), 2023)

Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research. - Roberto Saia; Salvatore Carta; Gianni Fenu; Livio Pompianu (Neural Comput. Appl., 2023)

Enhancing EEG-Based User Verification with a Normalized Neural Network Ensemble Approach. - Roberto Saia; Riccardo Balia; Alessandro Sebastian Podda; Livio Pompianu; Salvatore Carta; Alessia Pisu (CHIRA (1), 2024)

EEG Biometrics with GAN Integration for Secure Smart City Data Access. - Roberto Saia; Riccardo Balia; Alessandro Sebastian Podda; Livio Pompianu; Salvatore Carta; Alessia Pisu (CHIRA (1), 2024)

Enhancing IDS with Ensemble LSTM Networks Using Real and GAN Data. - Roberto Saia; Salvatore Carta; Gianni Fenu; Alessandro Sebastian Podda; Livio Pompianu (ITNAC, 2024)

Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios. - Silvio Barra; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia (SAC, 2024)

HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. - Simone Balloccu; Alessandro Sebastian Podda; Livio Pompianu; Roberto Saia; Angelo Antonio Salatino (UMAP (Adjunct Publication), 2024)

RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. - Salvatore Carta; Modesto Castrillón Santana; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia; Marco Sau; Walter Zimmer (UMAP (Adjunct Publication), 2024)

CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis. - Alessandro Sebastian Podda; Riccardo Balia; Livio Pompianu; Salvatore Carta; Gianni Fenu; Roberto Saia (Digit. Signal Process., 2024)