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Matteo Lonardi
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2020 – today
- 2024
- [j2]Khouloud Abdelli, Matteo Lonardi, Jürgen Gripp, Samuel Olsson, Fabien Boitier, Patricia Layec
:
Risky event classification leveraging transfer learning for very limited datasets in optical networks. J. Opt. Commun. Netw. 16(7): 51- (2024) - [c12]Khouloud Abdelli, Matteo Lonardi, Jürgen Gripp, Samuel Olsson, Fabien Boitier, Patricia Layec:
Computer Vision for Anomaly Detection in Optical Networks with State of Polarization Image Data: Opportunities and Challenges. ICTON 2024: 1-4 - [c11]Khouloud Abdelli, Matteo Lonardi, Jürgen Gripp, Diego Correa, Samuel Olsson, Fabien Boitier, Patricia Layec:
Anomaly Detection and Localization in Optical Networks Using Vision Transformer and SOP Monitoring. OFC 2024: 1-3 - [c10]Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Elie Awwad, Ekhiñe Irurozki, Stéphan Clémençon, Paolo Serena, Chiara Lasagni, Sébastien Bigo, Patricia Layec:
Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links. OFC 2024: 1-3 - [i2]Khouloud Abdelli, Matteo Lonardi, Jürgen Gripp, Samuel Olsson, Fabien Boitier, Patricia Layec:
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks. CoRR abs/2409.03657 (2024) - [i1]Khouloud Abdelli, Matteo Lonardi, Jürgen Gripp, Samuel Olsson, Fabien Boitier, Patricia Layec:
Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks. CoRR abs/2409.03663 (2024) - 2023
- [c9]Paolo Serena, Chiara Lasagni, Alberto Bononi, Fabien Boitier, Alix May, Petros Ramantanis, Matteo Lonardi:
Locating Fiber Loss Anomalies with a Receiver-side Monitoring Algorithm exploiting Cross-Phase Modulation. OFC 2023: 1-3 - [c8]Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Elie Awwad, Ekhiñe Irurozki, Stéphan Clémençon:
Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation. ONDM 2023: 1-5 - 2022
- [c7]Thierry Zami, Matteo Lonardi, Nicola Rossi, Bruno Lavigne:
Non-Linear Effects of WDM Transmission versus Optical Routing Impairments: Does One Prevail at Network Level? OFC 2022: 1-3 - 2021
- [j1]Matteo Lonardi, Jelena Pesic, Thierry Zami, Emmanuel Seve
Machine learning for quality of transmission: a picture of the benefits fairness when planning WDM networks. JOCN 13(12): 331-346 (2021) - [c6]Joana Girard-Jollet, Matteo Lonardi, Petros Ramantanis, Paolo Serena, Chiara Lasagni, Patricia Layec, Jean-Christophe Antona:
Estimating Network Components Polarization-Dependent Loss Using Performance Statistical Measurements. ECOC 2021: 1-4 - [c5]Matteo Lonardi, Paolo Serena, Petros Ramantanis, Nicola Rossi, Simone Musetti:
Kerr Nonlinearity Dominance Diagnostic for Polarization-Dependent Loss Impaired Optical Transmissions. ECOC 2021: 1-4 - 2020
- [c4]Jelena Pesic, Matteo Lonardi, Emmanuel Seve, Nicola Rossi, Thierry Zami:
Transfer Learning from Unbiased Training Data Sets for QoT Estimation in WDM Networks. ECOC 2020: 1-4 - [c3]Jelena Pesic, Matteo Lonardi, Nicola Rossi, Thierry Zami, Emmanuel Seve, Yvan Pointurier:
How Uncertainty on the Fiber Span Lengths Influences QoT Estimation using Machine Learning in WDM Networks. OFC 2020: 1-3
2010 – 2019
- 2019
- [c2]Matteo Lonardi, Petros Ramantanis, Philippe Jennevé, Sébastien Bigo:
Power Spectral Density Estimation in Dispersion Unmanaged Coherent Metro Networks. OFC 2019: 1-3 - 2017
- [c1]Matteo Lonardi, Gianluca Guerra
Mode Coupling Analysis of Hollow Ring-Core Fibers for OAM Transmission. ECOC 2017: 1-3
Coauthor Index
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