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Roberto Saia
Post Doctoral Researcher
Research Interests: Data Mining, Artificial Intelligence, and Security
About Me
Roberto Saia is a postdoctoral researcher at the Department of Mathematics and Computer Science of the University of Cagliari.
He got a Master Degree and a PhD in Computer Science at the same University, and his current research is focused on several domains, such as:
- Artificial Intelligence
- Credit Scoring
- Financial Forecasting
- Recommender and Advertising Systems
- Blockchain-based Applications
- Fraud Detection
- Intrusion Detection
- Data Mining for Rare Events
- Data Security
He is the author or co-author of tens scientific journals, articles, and books.
He is Lifetime Professional member of the Association for Computing Machinery (ACM) and Professional member of the Institute of Electrical and Electronics Engineers (IEEE).
Publications (38)
| Document title | Author | Years | Source |
|---|---|---|---|
| A local feature engineering strategy to improve network anomaly detection | Carta S., Podda A.S., Recupero D.R., Saia R., | 2020 | Future Internet |
| Analysis of a consensus protocol for extending consistent subchains on the bitcoin blockchain | Longo R., Podda A.S., Saia R., | 2020 | Computation |
| Popularity prediction of instagram posts | Carta S., Podda A.S., Recupero D.R., Saia R., Usai G., | 2020 | Information (Switzerland) |
| A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage | Carta S., Recupero D.R., Saia R., Stanciu M.M., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact | Bartoletti M., Carta S., Cimoli T., Saia R., | 2020 | Future Generation Computer Systems |
| A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance | Carta S., Fenu G., Ferreira A., Reforgiato Recupero D., Saia R., | 2020 | Communications in Computer and Information Science |
| A combined entropy-based approach for a proactive credit scoring | Carta S., Ferreira A., Reforgiato Recupero D., Saia M., Saia R., | 2020 | Engineering Applications of Artificial Intelligence |
| Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model | Carta S., Fenu G., Reforgiato Recupero D., Saia R., | 2019 | Journal of Information Security and Applications |
| Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks | Saia R., Carta S., | 2019 | Future Generation Computer Systems |
| Introducing a vector space model to perform a proactive credit scoring | Saia R., Carta S., | 2019 | Communications in Computer and Information Science |
| Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices | Saia R., Carta S., Recupero D.R., Fenu G., | 2019 | SENSORNETS 2019 - Proceedings of the 8th International Conference on Sensor Networks |
| A holistic auto-configurable ensemble machine learning strategy for financial trading | Carta S., Corriga A., Ferreira A., Recupero D., Saia R., | 2019 | Computation |
| A discretized enriched technique to enhance machine learning performance in credit scoring | Saia R., Carta S., Recupero D.R., Fenu G., Saia M., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems | Saia R., Carta S., Recupero D.R., Fenu G., Stanciu M.M., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A supervised multi-class multi-label word embeddings approach for toxic comment classification | Carta S., Corriga A., Mulas R., Recupero D.R., Saia R., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data | Carta S., Medda A., Pili A., Recupero D.R., Saia R., | 2018 | Future Internet |
| A wavelet-based data analysis to credit scoring | Saia R., Carta S., Fenu G., | 2018 | ACM International Conference Proceeding Series |
| Unbalanced data classification in fraud detection by introducing a multidimensional space analysis | Saia R., | 2018 | IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security |
| A probabilistic-driven ensemble approach to perform event classification in intrusion detection system | Saia R., Carta S., Recupero D.R., | 2018 | IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A fourier spectral pattern analysis to design credit scoring models | Saia R., Carta S., | 2017 | ACM International Conference Proceeding Series |
| Semantics-aware content-based recommender systems: Design and architecture guidelines | Boratto L., Carta S., Fenu G., Saia R., | 2017 | Neurocomputing |
| Exploiting the evaluation frequency of the items to enhance the recommendation accuracy | Saia R., Boratto L., Carta S., | 2017 | Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016 |
| A discrete wavelet transform approach to fraud detection | Saia R., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Evaluating credit card transactions in the frequency domain for a proactive fraud detection approach | Saia R., Carta S., | 2017 | ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications |
| A frequency-domain-based pattern mining for credit card fraud detection | Saia R., Carta S., | 2017 | IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security |
| Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting | Saia R., Boratto L., Carta S., Fenu G., | 2016 | Future Generation Computer Systems |
| Using neural word embeddings to model user behavior and detect user segments | Boratto L., Carta S., Fenu G., Saia R., | 2016 | Knowledge-Based Systems |
| A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system | Saia R., Boratto L., Carta S., | 2016 | Journal of Intelligent Information Systems |
| Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items | Boratto L., Carta S., Fenu G., Saia R., | 2016 | IEEE International Conference on Data Mining Workshops, ICDMW |
| A linear-dependence-based approach to design proactive credit scoring models | Saia R., Carta S., | 2016 | IC3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| An entropy based algorithm for credit scoring | Saia R., Carta S., | 2016 | Lecture Notes in Business Information Processing |
| Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion | Boratto L., Carta S., Saia R., | 2016 | CEUR Workshop Proceedings |
| A class-based strategy to user behavior modeling in recommender systems | Saia R., Boratto L., Carta S., | 2016 | Studies in Computational Intelligence |
| Representing items as word-embedding vectors and generating recommendations by measuring their linear independence | Boratto L., Carta S., Fenu G., Saia R., | 2016 | CEUR Workshop Proceedings |
| A new perspective on recommender systems: A class path information model | Saia R., Boratto L., Carta S., | 2015 | Proceedings of the 2015 Science and Information Conference, SAI 2015 |
| A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising | Saia R., Boratto L., Carta S., | 2015 | Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015 |
| Multiple behavioral models: A divide and conquer strategy to fraud detection in financial data streams | Saia R., Boratto L., Carta S., | 2015 | IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| Semantic coherence-based user profile modeling in the recommender systems context | Saia R., Boratto L., Carta S., | 2014 | KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval |
Carta S., Podda A.S., Recupero D.R., Saia R., A local feature engineering strategy to improve network anomaly detection (2020), Future Internet
Longo R., Podda A.S., Saia R., Analysis of a consensus protocol for extending consistent subchains on the bitcoin blockchain (2020), Computation
Carta S., Podda A.S., Recupero D.R., Saia R., Usai G., Popularity prediction of instagram posts (2020), Information (Switzerland)
Carta S., Recupero D.R., Saia R., Stanciu M.M., A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Bartoletti M., Carta S., Cimoli T., Saia R., Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact (2020), Future Generation Computer Systems
Carta S., Fenu G., Ferreira A., Reforgiato Recupero D., Saia R., A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance (2020), Communications in Computer and Information Science
Carta S., Ferreira A., Reforgiato Recupero D., Saia M., Saia R., A combined entropy-based approach for a proactive credit scoring (2020), Engineering Applications of Artificial Intelligence
Carta S., Fenu G., Reforgiato Recupero D., Saia R., Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model (2019), Journal of Information Security and Applications
Saia R., Carta S., Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks (2019), Future Generation Computer Systems
Saia R., Carta S., Introducing a vector space model to perform a proactive credit scoring (2019), Communications in Computer and Information Science
Saia R., Carta S., Recupero D.R., Fenu G., Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices (2019), SENSORNETS 2019 - Proceedings of the 8th International Conference on Sensor Networks
Carta S., Corriga A., Ferreira A., Recupero D., Saia R., A holistic auto-configurable ensemble machine learning strategy for financial trading (2019), Computation
Saia R., Carta S., Recupero D.R., Fenu G., Saia M., A discretized enriched technique to enhance machine learning performance in credit scoring (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Saia R., Carta S., Recupero D.R., Fenu G., Stanciu M.M., A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Carta S., Corriga A., Mulas R., Recupero D.R., Saia R., A supervised multi-class multi-label word embeddings approach for toxic comment classification (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Carta S., Medda A., Pili A., Recupero D.R., Saia R., Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data (2018), Future Internet
Saia R., Carta S., Fenu G., A wavelet-based data analysis to credit scoring (2018), ACM International Conference Proceeding Series
Saia R., Unbalanced data classification in fraud detection by introducing a multidimensional space analysis (2018), IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security
Saia R., Carta S., Recupero D.R., A probabilistic-driven ensemble approach to perform event classification in intrusion detection system (2018), IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Saia R., Carta S., A fourier spectral pattern analysis to design credit scoring models (2017), ACM International Conference Proceeding Series
Boratto L., Carta S., Fenu G., Saia R., Semantics-aware content-based recommender systems: Design and architecture guidelines (2017), Neurocomputing
Saia R., Boratto L., Carta S., Exploiting the evaluation frequency of the items to enhance the recommendation accuracy (2017), Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016
Saia R., A discrete wavelet transform approach to fraud detection (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Saia R., Carta S., Evaluating credit card transactions in the frequency domain for a proactive fraud detection approach (2017), ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications
Saia R., Carta S., A frequency-domain-based pattern mining for credit card fraud detection (2017), IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
Saia R., Boratto L., Carta S., Fenu G., Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting (2016), Future Generation Computer Systems
Boratto L., Carta S., Fenu G., Saia R., Using neural word embeddings to model user behavior and detect user segments (2016), Knowledge-Based Systems
Saia R., Boratto L., Carta S., A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system (2016), Journal of Intelligent Information Systems
Boratto L., Carta S., Fenu G., Saia R., Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items (2016), IEEE International Conference on Data Mining Workshops, ICDMW
Saia R., Carta S., A linear-dependence-based approach to design proactive credit scoring models (2016), IC3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Saia R., Carta S., An entropy based algorithm for credit scoring (2016), Lecture Notes in Business Information Processing
Boratto L., Carta S., Saia R., Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion (2016), CEUR Workshop Proceedings
Saia R., Boratto L., Carta S., A class-based strategy to user behavior modeling in recommender systems (2016), Studies in Computational Intelligence
Boratto L., Carta S., Fenu G., Saia R., Representing items as word-embedding vectors and generating recommendations by measuring their linear independence (2016), CEUR Workshop Proceedings
Saia R., Boratto L., Carta S., A new perspective on recommender systems: A class path information model (2015), Proceedings of the 2015 Science and Information Conference, SAI 2015
Saia R., Boratto L., Carta S., A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising (2015), Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015
Saia R., Boratto L., Carta S., Multiple behavioral models: A divide and conquer strategy to fraud detection in financial data streams (2015), IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Saia R., Boratto L., Carta S., Semantic coherence-based user profile modeling in the recommender systems context (2014), KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval