According to our database1, Roberto Saia authored at least 26 papers between 2014 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model.
J. Inf. Sec. Appl., 2019
Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data.
Future Internet, 2019
Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks.
Future Generation Comp. Syst., 2019
Internet of Entities (IoE): A Blockchain-based Distributed Paradigm for Data Exchange between Wireless-based Devices.
Proceedings of the 8th International Conference on Sensor Networks, 2019
Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis.
Proceedings of the 3rd International Conference on Internet of Things, 2018
A Wavelet-based Data Analysis to Credit Scoring.
Proceedings of the 2nd International Conference on Digital Signal Processing, 2018
A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System.
Semantics-aware content-based recommender systems: Design and architecture guidelines.
Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017
A Discrete Wavelet Transform Approach to Fraud Detection.
Proceedings of the Network and System Security - 11th International Conference, 2017
A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection.
Proceedings of the 2nd International Conference on Internet of Things, 2017
A fourier spectral pattern analysis to design credit scoring models.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
Similarity and diversity: two sides of the same coin in the evaluation of data streams.
PhD thesis, 2016
Using neural word embeddings to model user behavior and detect user segments.
Knowl.-Based Syst., 2016
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system.
J. Intell. Inf. Syst., 2016
Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting.
Future Generation Comp. Syst., 2016
Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016
An Entropy Based Algorithm for Credit Scoring.
Proceedings of the Research and Practical Issues of Enterprise Information Systems, 2016
Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Introducing a Vector Space Model to Perform a Proactive Credit Scoring.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016
A Linear-dependence-based Approach to Design Proactive Credit Scoring Models.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016
Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion.
Proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the eight ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016
Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams.
Proceedings of the KDIR 2015, 2015
A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014