Roberto Saia

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 those of the Recommender Systems, Data Mining, Artificial Intelligence, and Security.

He is the author or co-author of tens scientific journals, articles, and books.

Recent Works:

  • S. Carta, D.R. Recupero, R. Saia, M. Stanciu. A General Framework for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. 6th Annual Conference on machine Learning, Optimization and Data science (LOD), 2020.
  • M. Bartoletti, S. Carta, T. Cimoli, R. Saia. Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact. In Future Generation Computer Systems (FGCS), Elsevier, 2020.
  • S. Carta, A. Corriga, A. Ferreira, D.R. Recupero, R. Saia. A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. In Computation, MDPI, 2020.
  • S. Carta, A. Ferreira, D.R. Recupero, M. Saia, R. Saia. A Combined Entropy-based Approach for a Proactive Credit Scoring, In Engineering Applications of Artificial Intelligence, Elsevier, 2019.
  • R. Saia, S. Carta, D. R. Recupero, G. Fenu, M. M. Stanciu. A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection. 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 2019.
  • S. Carta, A. Corriga, R. Mulas, D. R. Recupero, R. Saia. A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 2019.
  • R. Saia, S. Carta, D. R. Recupero, G. Fenu, M. Saia. A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 2019.
  • S. Carta, A. Medda, A. Pili, D. R. Recupero, R. Saia. Forecasting E-commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. In Future Internet (FI), MDPI, 2018
  • R. Saia, D. Reforgiato Recupero, S. Carta, G. Fenu. Internet of Entities (IoE): a Blockchain-based Distributed Paradigm for Data Exchange Between Wireless-based Devices. In Proc. SENSORNETS, 2018
  • R. Saia, S. Carta. Evaluating the Benefits of Using Proactive Transformed-domain-based Techniques. In Future Generation Computer Systems, Elsevier (FGCS), 2018
  • R. Saia, D. Reforgiato Recupero, S. Carta. A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 2018.
  • R. Saia, L. Piras, S. Carta. Recommending Friends by Identifying Latent Similarities in Social Environments. 40th European Conference on Information Retrieval (ECIR-2018), Social Aspects in Personalization and Search (SoAPS) Workshop, 2018
  • R. Saia, S. Carta. Proactivity or Retroactivity? Evaluating the Benefits of Using Proactive Transformed-domain-based Techniques in Fraud Detection Tasks. High Quality Journal Forum, 3rd International Conference on Internet of Things, Big Data and Security (IoTBDS), 2018.
  • R. Saia, S. Carta, G. Fenu. A Wavelet-based Data Analysis to Credit Scoring. 2nd International Conference on Digital Signal Processing (ICDSP), 2018.
  • R. Saia. Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis. 3rd International Conference on Internet of Things, Big Data and Security (IoTBDS), 2018.
  • R. Saia, S. Carta. A Fourier Spectral Pattern Analysis to Design Credit Scoring Models. International Conference on Internet of Things and Machine Learning (IML), 2017.
  • R. Saia. A Discrete Wavelet Transform Approach to Fraud Detection. 11th International Conference on Network and System Security (NSS), International Workshop on Security Measurements of Cyber Networks (SMCN), 2017.
  • R. Saia, S. Carta. Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach. 14th International Conference on Security and Cryptography (SECRYPT), 2017.
  • R. Saia, S. Carta. A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection. 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS), 2017.
  • R. Saia, S. Carta. An Entropy Based Algorithm for Credit Scoring. Lecture Notes in Business Information Processing, Springer (LNBIP), 2016.
  • R. Saia, S. Carta. A Linear-dependence-based Approach to Design Proactive Credit Scoring Models.In Proc. 8th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2016.
  • R. Saia, L. Boratto, S. Carta. Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion..In Proc. Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS), 2016.
  • R. Saia, L. Boratto, S. Carta, G. Fenu. Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence. In Proc. ACM Recommender Systems conference (RecSys), 2016.
  • R. Saia, L. Boratto, S. Carta, G. Fenu. Exploiting a Determinant-based Metric to Evaluate a Word-embeddings Matrix of Items.In Proc. IEEE International Conference on Data Mining series (ICDM), SERecSys Workshop, 2016.
  • R. Saia, L. Boratto, S. Carta. Semantics-Aware Content-Based Recommender Systems: Design and Architecture Guidelines. Neurocomputing (NEUCOM), Elsevier, 2017.
  • R. Saia, L. Boratto, S. Carta. Multiple Behavioral Models: a Divide and Conquer Strategy to Fraud Detection in Financial Data Streams. In proceedings of the 7th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2015.
  • R. Saia, L. Boratto, S. Carta. Introducing a Weighted Ontology to Improve the Graph-based Semantic Similarity Measures. Accepted for publication in International Journal of Signal Processing Systems (IJSPS), 2015.
  • R. Saia, L. Boratto, S. Carta. A Proactive Time-frame Convolution Vector (TFCV) Technique to Detect Frauds Attempts in E-commerce Transactions. Accepted for publication in International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE), 2015.
  • R. Saia, L. Boratto, S. Carta. Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. Accepted for publication in Journal of Computers (JCP), 2015.
  • R. Saia, L. Boratto, S. Carta. Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy. In proceedings of the International Conference on Computer Applications & Technology (ICCAT), 2015.
  • R. Saia, L. Boratto, S. Carta. A Class-based Strategy to User Behavior Modeling. Accepted for publication in Studies in computational intelligence, Springer (SCI), 2015.
  • R. Saia, L. Boratto, S. Carta. A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising. In proceedings of the 4th IEEE International Congress on BigData (BigData), 2015.
  • R. Saia, L. Boratto, S. Carta. A New Perspective on Recommender Systems: a Class Path Information Model. In Proceedings of the Science and Information Conference (SAI), 2015.
  • R. Saia, L. Boratto, S. Carta. Semantic Coherence-based User Profile Modeling in the Recommender Systems Context. In Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2014.

Recent Activities:

  • Member of the program committee at 16th International Conference on Web Information Systems and Technologies (WEBIST-2020).
  • Member of the “European Science Foundation" (ESF) College of Expert Reviewers.
  • Session chair at 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2019).
  • Member of the program committee at 15th International Conference on Web Information
  • Systems and Technologies (WEBIST-2019).
  • Session chair at 10th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2018).
  • Member of the technical committee at 8th International Workshop on Machine Learning,
  • Pattern Recognition & Applications (MLPRA-2018).
  • Member of the technical committee at 2nd Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS-2017).
  • Member of the technical committee at Third International Conference on Human
  • and Social Analytics (HUSO-2017).
  • Session chair at “11th International Conference on Network and System Security (NSS-2017).
  • Session Chair at 8th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2016).
  • Member of the technical committee at SERecSys Workshop on Semantics-Enabled Recommender Systems, IEEE International Conference on Data Mining (ICDM-2016)
  • Session Chair at 6th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2014).
  • Member of the Program Committee of the 4th IEEE International Congress on Big Data (BigData-2015).

Awards/Honors:

  • Best Paper Award, "A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring",11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 2019.
  • Best paper award, “Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy”, International Conference on Computer Applications & Technology (ICCAT), 2015.

Research projects:

Other information, identifiers, and CV: