Edoardo Fadda
Orcid: 0000-0002-5599-6349
According to our database1,
Edoardo Fadda
authored at least 44 papers
between 2016 and 2023.
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Bibliography
2023
A machine learning optimization approach for last-mile delivery and third-party logistics.
Comput. Oper. Res., September, 2023
2022
Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach.
Multim. Tools Appl., 2022
Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022
Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem.
Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing, 2022
Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets.
Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing, 2022
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
2021
IEEE Trans. Serv. Comput., 2021
Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
From Low-Level-Event-Logs to High-Level-Business-Process-Model-Activities: An Advanced Framework based on Machine Learning and Flexible BPMN Model Translation.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021
Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings.
Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021
Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Solving assignment problems via Quantum Computing: a case-study in train seating arrangement.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021
Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
2020
The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs.
Transp. Sci., 2020
Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes.
IEEE Access, 2020
4OR, 2020
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020
Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020
A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020
Proceedings of the Recent Advances in Computational Optimization, 2020
An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020
A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020
Supporting Cyber Attack Detection via Non-Linear Analytic Prediction of IP Addresses: A Big Data Analytics Technique.
Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, 2020
Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
2019
An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis.
J. Ambient Intell. Humaniz. Comput., 2019
A progressive hedging method for the optimization of social engagement and opportunistic IoT problems.
Eur. J. Oper. Res., 2019
KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019
2018
Electron. Notes Discret. Math., 2018
Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT.
Comput. Oper. Res., 2018
Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017
Inner approximation of parameter uncertainty intervals in bounded error identification.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
A robust optimization approach to kernel-based nonparametric error-in-variables identification in the presence of bounded noise.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the Smart Cities - First International Conference, Smart-CT 2016, Málaga, 2016
Proceedings of the Advanced Information Systems Engineering, 2016