Roberto Saia
Orcid: 0000-0002-1734-0437
According to our database1,
Roberto Saia
authored at least 54 papers
between 2014 and 2024.
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Bibliography
2024
CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis.
Digit. Signal Process., 2024
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
2023
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research.
Neural Comput. Appl., June, 2023
Brain Waves Combined with Evoked Potentials as Biometric Approach for User Identification: A Survey.
Proceedings of the Intelligent Systems and Applications, 2023
Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023
2022
Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach.
Proceedings of the 19th International Conference on Security and Cryptography, 2022
Proceedings of the 19th International Conference on Security and Cryptography, 2022
A comparison of audio-based deep learning methods for detecting anomalous road events.
Proceedings of the 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2022) / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2022), 2022
2021
Sensors, 2021
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space.
Prog. Artif. Intell., 2021
Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures.
Future Internet, 2021
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021
From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021
2020
Future Gener. Comput. Syst., 2020
Eng. Appl. Artif. Intell., 2020
Analysis of a Consensus Protocol for Extending Consistent Subchains on the Bitcoin Blockchain.
Comput., 2020
A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020
2019
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model.
J. Inf. Secur. 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 Gener. Comput. Syst., 2019
A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading.
Comput., 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
A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019
A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
2018
CoRR, 2018
Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis.
Proceedings of the 3rd International Conference on Internet of Things, 2018
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
2017
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System.
J. Comput., 2017
Semantics-aware content-based recommender systems: Design and architecture guidelines.
Neurocomputing, 2017
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
Proceedings of the Network and System Security - 11th International Conference, 2017
Proceedings of the 2nd International Conference on Internet of Things, 2017
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
2016
Similarity and diversity: two sides of the same coin in the evaluation of data streams.
PhD thesis, 2016
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 Gener. Comput. 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
Proceedings of the Research and Practical Issues of Enterprise Information Systems, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016
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
Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy.
Proceedings of the Global Summit on Computer & Information Technology, 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
2015
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
2014
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014