Davide Andreoletti
Orcid: 0000-0003-3790-9341
According to our database1,
Davide Andreoletti
authored at least 29 papers
between 2016 and 2023.
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Bibliography
2023
Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation.
JOCN, 2023
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text.
CoRR, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
ML-based Network Pruning for Routing Data Overhead Reduction in Wireless Sensor Networks.
Proceedings of the 18th Wireless On-Demand Network Systems and Services Conference, 2023
Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023
Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities.
Proceedings of the Workshop on Advances of Mobile and Wearable Biometrics (WAMWB 2023) co-located with ACM International Conference on Mobile Human-Computer Interaction 2023 (MobileHCI 2023) Athens, 2023
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition.
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023
2022
On the Application of Explainable Artificial Intelligence to Lightpath QoT Estimation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
Sensor and Feature Selection for Lightweight Emotion Recognition on Resource-Constrained Smartwatches.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022
2021
CoRR, 2021
Network-Based Contact Tracing for Detection of Covid-19 Contagions: A Privacy-Preserving Approach.
IEEE Commun. Mag., 2021
A Machine Learning Framework for Scalable Routing and Wavelength Assignment in Large Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021
Proceedings of the Information Technology for Management: Business and Social Issues, 2021
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021
2020
A Privacy-Preserving Reinforcement Learning Algorithm for Multi-Domain Virtual Network Embedding.
IEEE Trans. Netw. Serv. Manag., 2020
Online Soc. Networks Media, 2020
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions.
IACR Cryptol. ePrint Arch., 2020
2019
Proceedings of the Security and Privacy in the Internet of Things: Challenges and Solutions, 2019
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks.
CoRR, 2019
IEEE Access, 2019
Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks.
Proceedings of the IEEE INFOCOM 2019, 2019
An Open Privacy-Preserving and Scalable Protocol for a Network-Neutrality Compliant Caching.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019
2018
IEEE Internet Comput., 2018
Optimal Cache Deployment for Video-an-Demand Delivery in Optical Metro-Area Networks.
Proceedings of the IEEE Global Communications Conference, 2018
Discovering the Geographic Distribution of Live Videos' Users: A Privacy-Preserving Approach.
Proceedings of the IEEE Global Communications Conference, 2018
2017
Victim Communication Stack (VCS): A flexible model to select the Human Attack Vector.
Proceedings of the 12th International Conference on Availability, Reliability and Security, Reggio Calabria, Italy, August 29, 2017
2016
Proceedings of the 24th European Signal Processing Conference, 2016