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 (36)

All 2020 2019 2018 2017 2016 2015 2014

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)
Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact	Bartoletti M., Carta S., Cimoli T., Saia R.,	2020	Future Generation Computer Systems
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)

Bartoletti M., Carta S., Cimoli T., Saia R., Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact (2020), Future Generation Computer Systems

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