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ORCIDDavide Andreoletti
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2020 – today
- 2024
[c21]Davide Andreoletti, Cristina Rottondi, Omran Ayoub, Andrea Bianco:
Synthetic Data Generation using Diffusion Models for ML-based Lightpath Quality of Transmission Estimation Under Extreme Data Scarcity. ICTON 2024: 1-4- [c20]Hussein Fawaz, Farhad Arpanaei, Davide Andreoletti, Ihab Sbeity, José Alberto Hernández, David Larrabeiti, Omran Ayoub:
Reducing Complexity and Enhancing Predictive Power of ML-Based Lightpath QoT Estimation via SHAP-Assisted Feature Selection. ONDM 2024: 1-6 - [c19]Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano:
Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. xAI (3) 2024: 294-318 - [i8]Omran Ayoub, Davide Andreoletti, Aleksandra Knapinska, Róza Goscien, Piotr Lechowicz, Tiziano Leidi, Silvia Giordano, Cristina Rottondi, Krzysztof Walkowiak:
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures. CoRR abs/2404.05304 (2024) - [i7]Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano:
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. CoRR abs/2404.06144 (2024) - [i6]Seyed Muhammad Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti, Achille Peternier, Silvia Giordano:
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition. CoRR abs/2407.09110 (2024) - 2023
- [j6]Omran Ayoub
, Sebastian Troia, Davide Andreoletti, Andrea Bianco, Massimo Tornatore, Silvia Giordano, Cristina Rottondi:
Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation. JOCN 15(1): A26-A38 (2023) - [c18]Seyed Muhammad Hossein Mousavi, Bulat Khaertdinov, Pedro Jeuris, Enrique Hortal, Davide Andreoletti, Silvia Giordano:
Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities. WAMWB@MobileHCI 2023: 1-20 - [c17]Seyed Muhammad Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti, Achille Peternier, Silvia Giordano:
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition. MobileHCI (Companion) 2023: 31:1-31:5 - [c16]Fatima Ezzeddine, Omran Ayoub, Davide Andreoletti, Massimo Tornatore, Silvia Giordano:
Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems. NFV-SDN 2023: 46-52 - [c15]Davide Andreoletti, Cristina Rottondi, Fatima Ezzeddine, Omran Ayoub, Silvia Giordano:
ML-based Network Pruning for Routing Data Overhead Reduction in Wireless Sensor Networks. WONS 2023: 122-125 - [c14]Fatima Ezzeddine, Omran Ayoub, Davide Andreoletti, Silvia Giordano:
SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations. xAI (1) 2023: 195-216 - [i5]Sandra Mitrovic, Davide Andreoletti, Omran Ayoub:
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text. CoRR abs/2301.13852 (2023) - 2022
- [c13]Davide Andreoletti, Omran Ayoub, Achille Peternier, Tiziano Leidi, Silvia Giordano:
Sensor and Feature Selection for Lightweight Emotion Recognition on Resource-Constrained Smartwatches. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c12]Omran Ayoub, Andrea Bianco, Davide Andreoletti, Sebastian Troia, Silvia Giordano, Cristina Rottondi:
On the Application of Explainable Artificial Intelligence to Lightpath QoT Estimation. OFC 2022: 1-3 - 2021
- [j5]Davide Andreoletti, Omran Ayoub, Silvia Giordano, Giacomo Verticale, Massimo Tornatore:
Network-Based Contact Tracing for Detection of Covid-19 Contagions: A Privacy-Preserving Approach. IEEE Commun. Mag. 59(9): 42-48 (2021) - [c11]Davide Andreoletti, Marco Paoliello, Luca Luceri, Tiziano Leidi, Achille Peternier, Silvia Giordano:
A Framework for Emotion-Driven Product Design Through Virtual Reality. ISM@FedCSIS 2021: 42-61 - [c10]Davide Andreoletti, Luca Luceri, Achille Peternier, Tiziano Leidi, Silvia Giordano:
The Virtual Emotion Loop: Towards Emotion-Driven Product Design via Virtual Reality. FedCSIS 2021: 371-378 - [c9]Davide Andreoletti, Cristina Rottondi, Andrea Bianco, Silvia Giordano:
A Machine Learning Framework for Scalable Routing and Wavelength Assignment in Large Optical Networks. OFC 2021: 1-3 - [i4]Davide Andreoletti, Luca Luceri, Tiziano Leidi, Achille Peternier, Silvia Giordano:
The Virtual Emotion Loop: Towards Emotion-Driven Services via Virtual Reality. CoRR abs/2102.13407 (2021) - 2020
- [b1]Davide Andreoletti:
Privacy-preserving service delivery in Internet. Polytechnic University of Milan, Italy, 2020 - [j4]Luca Luceri, Davide Andreoletti, Massimo Tornatore, Torsten Braun, Silvia Giordano:
Measurement and control of geo-location privacy on Twitter. Online Soc. Networks Media 17: 100078 (2020) - [j3]Davide Andreoletti, Tanya Velichkova, Giacomo Verticale, Massimo Tornatore, Silvia Giordano:
A Privacy-Preserving Reinforcement Learning Algorithm for Multi-Domain Virtual Network Embedding. IEEE Trans. Netw. Serv. Manag. 17(4): 2291-2304 (2020) - [c8]Davide Andreoletti, Omran Ayoub, Silvia Giordano, Massimo Tornatore, Giacomo Verticale:
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions. GLOBECOM (Workshops) 2020: 1-6 - [i3]Davide Andreoletti, Omran Ayoub, Silvia Giordano, Massimo Tornatore, Giacomo Verticale:
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions. CoRR abs/2007.10168 (2020) - [i2]Davide Andreoletti, Omran Ayoub, Silvia Giordano, Massimo Tornatore, Giacomo Verticale:
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions. IACR Cryptol. ePrint Arch. 2020: 935 (2020)
2010 – 2019
- 2019
- [j2]Davide Andreoletti, Omran Ayoub, Cristina Rottondi, Silvia Giordano, Giacomo Verticale, Massimo Tornatore:
A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks. IEEE Access 7: 160227-160240 (2019) - [c7]Davide Andreoletti, Omran Ayoub, Silvia Giordano, Giacomo Verticale, Massimo Tornatore:
Privacy-Preserving Caching in ISP Networks. HPSR 2019: 1-6 - [c6]Davide Andreoletti, Cristina Rottondi, Silvia Giordano, Giacomo Verticale, Massimo Tornatore:
An Open Privacy-Preserving and Scalable Protocol for a Network-Neutrality Compliant Caching. ICC 2019: 1-6 - [c5]Davide Andreoletti, Sebastian Troia, Francesco Musumeci, Silvia Giordano, Guido Maier, Massimo Tornatore:
Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks. INFOCOM Workshops 2019: 246-251 - [p1]Silvia Giordano, Victor Morel, Melek Önen, Mirco Musolesi, Davide Andreoletti, Felipe Cardoso, Alan Ferrari, Luca Luceri, Claude Castelluccia, Daniel Le Métayer, Cédric Van Rompay, Benjamin Baron:
UPRISE-IoT: User-Centric Privacy & Security in the IoT. Security and Privacy in the Internet of Things 2019: 44-60 - [i1]Luca Luceri, Davide Andreoletti, Silvia Giordano:
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks. CoRR abs/1903.11206 (2019) - 2018
- [j1]Davide Andreoletti, Silvia Giordano, Cristina Rottondi, Massimo Tornatore, Giacomo Verticale:
To be Neutral or Not Neutral? The In-Network Caching Dilemma. IEEE Internet Comput. 22(6): 18-26 (2018) - [c4]Davide Andreoletti, Silvia Giordano, Giacomo Verticale, Massimo Tornatore:
Discovering the Geographic Distribution of Live Videos' Users: A Privacy-Preserving Approach. GLOBECOM 2018: 1-6 - [c3]Omran Ayoub, Francesco Musumeci, Davide Andreoletti, Marco Mussini, Massimo Tornatore, Achille Pattavina:
Optimal Cache Deployment for Video-an-Demand Delivery in Optical Metro-Area Networks. GLOBECOM 2018: 1-6 - 2017
- [c2]Enrico Frumento, Federica Freschi, Davide Andreoletti, Angelo Consoli:
Victim Communication Stack (VCS): A flexible model to select the Human Attack Vector. ARES 2017: 50:1-50:6 - 2016
- [c1]Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Davide Andreoletti:
Unsupervised feature learning for Music Structural Analysis. EUSIPCO 2016: 993-997
Coauthor Index
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