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Roberto Saia
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2020 – today
- 2024
- [j18]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) - [c33]Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia:
Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios. SAC 2024: 221-223 - [c32]Simone Balloccu, Alessandro Sebastian Podda, Livio Pompianu, Roberto Saia, Angelo Antonio Salatino:
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. UMAP (Adjunct Publication) 2024 - [c31]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 - 2023
- [j17]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) - [c30]Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia:
Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study. AI*IA 2023: 321-335 - 2022
- [c29]Riccardo Balia, Alessandro Giuliani, Leonardo Piano, Alessia Pisu, Roberto Saia, Nicola Sansoni:
A comparison of audio-based deep learning methods for detecting anomalous road events. EUSPN/ICTH 2022: 198-203 - [c28]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
A Region-based Training Data Segmentation Strategy to Credit Scoring. SECRYPT 2022: 275-282 - [c27]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
- [j16]Roberto Saia, Salvatore Carta, Olaf Bergmann:
Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures. Future Internet 13(9): 240 (2021) - [j15]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) - [j14]Roberto Saia, Alessandro Sebastian Podda, Livio Pompianu, Diego Reforgiato Recupero, Gianni Fenu:
A Blockchain-Based Distributed Paradigm to Secure Localization Services. Sensors 21(20): 6814 (2021) - [c26]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 - [c25]Roberto Saia, Alessandro Sebastian Podda, Gianni Fenu, Riccardo Balia:
Decomposing Training Data to Improve Network Intrusion Detection Performance. KDIR 2021: 241-248 - 2020
- [j13]Riccardo Longo, Alessandro Sebastian Podda, Roberto Saia:
Analysis of a Consensus Protocol for Extending Consistent Subchains on the Bitcoin Blockchain. Comput. 8(3): 67 (2020) - [j12]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) - [j11]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) - [j10]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai:
Popularity Prediction of Instagram Posts. Inf. 11(9): 453 (2020) - [c24]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
A Feature Space Transformation to Intrusion Detection Systems. KDIR 2020: 137-144 - [c23]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
2010 – 2019
- 2019
- [j9]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) - [j8]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) - [j7]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) - [j6]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) - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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
- [c17]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero:
A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. KDIR 2018: 139-146 - [c16]Roberto Saia, Salvatore Carta, Gianni Fenu:
A Wavelet-based Data Analysis to Credit Scoring. ICDSP 2018: 176-180 - [c15]Roberto Saia:
Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis. IoTBDS 2018: 29-40 - [i2]Roberto Saia:
Internet of Entities (IoE): a Blockchain-based Distributed Paradigm to Security. CoRR abs/1808.08809 (2018) - 2017
- [j5]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Semantics-aware content-based recommender systems: Design and architecture guidelines. Neurocomputing 254: 79-85 (2017) - [j4]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) - [c14]Roberto Saia, Salvatore Carta:
A fourier spectral pattern analysis to design credit scoring models. IML 2017: 18:1-18:10 - [c13]Roberto Saia, Salvatore Carta:
A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection. IoTBDS 2017: 386-391 - [c12]Roberto Saia:
A Discrete Wavelet Transform Approach to Fraud Detection. NSS 2017: 464-474 - [c11]Roberto Saia, Salvatore Carta:
Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach. SECRYPT 2017: 335-342 - [i1]Massimo Bartoletti, Salvatore Carta, Tiziana Cimoli, Roberto Saia:
Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact. CoRR abs/1703.03779 (2017) - 2016
- [b1]Roberto Saia:
Similarity and diversity: two sides of the same coin in the evaluation of data streams. University of Cagliari, Italy, 2016 - [j3]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) - [j2]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) - [j1]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) - [c10]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 - [c9]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. GSCIT 2016: 108-113 - [c8]Roberto Saia, Salvatore Carta:
A Linear-dependence-based Approach to Design Proactive Credit Scoring Models. KDIR 2016: 111-120 - [c7]Roberto Saia, Salvatore Carta:
Introducing a Vector Space Model to Perform a Proactive Credit Scoring. IC3K 2016: 125-148 - [c6]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 - [c5]Roberto Saia, Salvatore Carta:
An Entropy Based Algorithm for Credit Scoring. CONFENIS 2016: 263-276 - [c4]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 - 2015
- [c3]Roberto Saia, Ludovico Boratto, Salvatore Carta:
A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. BigData Congress 2015: 491-498 - [c2]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
- [c1]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. KDIR 2014: 154-161
Coauthor Index
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last updated on 2024-07-05 21:03 CEST by the dblp team
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