F. Locatelli, K. Christodoulopoulos, M. Svaluto Moreolo, J. M. Fabrega, L. Nadal, S. Spadaro, Spectral processing techniques for efficient monitoring in optical networks , Journal of Optical Communications and Networking (JOCN), Vol. 13, No. 7, pp. 158-168, July 2021. https://zenodo.org/record/4459338#.YIfEJaHtY2x

A. Mahajan, K. Christodoulopoulos, R. Martínez, R. Muñoz, S. Spadaro, Adaptive and Iterative QoT Estimator Retraining for Launch Power Optimization , in Proceedings of Optical Fiber Communication Conference (OFC), 8–11 June 2021, virtual event.

A. Mahajan, K. Christodoulopoulos, R. Martínez, R. Muñoz, S. Spadaro, Quality of Transmission Estimator Retraining for Dynamic Optimization in Optical Networks , Journal of Optical Communications and Networking, Vol. 13, No. 4, pp. B45-B59, February 2021. https://zenodo.org/record/4552373#.YIfCJ6HtY2x

F. Locatelli, K. Christodoulopoulos, J. M. Fabrega, M. Svaluto Moreolo, L. Nadal, S. Spadaro, Filter Features Extraction from Optical Spectra , in Proceedings of 46th European Conference on Optical Communication (ECOC) 2020, 6-10 December 2020, virtual event. https://zenodo.org/record/4459338#.YIfEJaHtY2x

A. Mahajan, K. (Kostas) Christodoulopoulos, R. Martínez, S. Spadaro, R. Muñoz, Modelling Multi-Vendor Transponders Performance and Optimizing Launch Power , in Proceedings of 46th European Conference on Optical Communication (ECOC 2020), 6-10 December 2020, virtual event., December 2020. https://zenodo.org/record/4432318#.YIfC2qHtY2x

J. M. Fabrega, F. Locatelli, K. Christodoloupoulos, L. Nadal, M. Svaluto Moreolo, S. Spadaro, Data plane elements for optical performance monitoring agnostic to the modulation format for disaggregated optical networks , in Proceedings of International Conference on Transparent Optical Networks (ICTON) 2020, 19-23 July, virtual event. https://zenodo.org/record/4041637#.X2svJ4vtY2x

F. Locatelli, K. Christodoulopoulos, J. M. Fabrega, M. Svaluto Moreolo, L. Nadal, S. Spadaro, Experimental Demonstration of a Machine Learning-Based in-band OSNR Estimator from Optical Spectra , in Proceedings of 24th International Conference on Optical Network Design and Modelling, 18-21 May 2020, virtual event. https://zenodo.org/record/3979496#.X2svXIvtY2x

A. Mahajan, K. Christodoulopoulos, R. Martinez, S. Spadaro, R. Munoz, Improving QoT Estimation Accuracy with DGE Monitoring using Machine Learning , in Proceedings of Internationnal Conference on Optical Network Design and Modeling (ONDM), 18-21 May 2020, virtual event. https://zenodo.org/record/3979454#.X2svyIvtY2x

A. Mahajan, K. Christodoulopoulos, R. Martínez, S. Spadaro, R. Muñoz, Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation , in Proceedings of Optical Fiber Communication Conference (OFC)2020, 8-12 March 2020, San Diego (USA). https://zenodo.org/record/3979474#.X2sv84vtY2x

A. Mahajan, K. Christodoulopoulos, R. Martínez, S. Spadaro, R. Muñoz, Modeling EDFA Gain Ripple and Filter Penalties with Machine Learning for Accurate QoT Estimation , Journal of Lightwave Technology, February 2020. https://zenodo.org/record/3979381#.X2svjIvtY2x

F. Locatelli, K. Christodoulopoulos, M. S. Moreolo, J. M. Fàbrega and S. Spadaro, "Machine Learning-Based in-Band OSNR Estimation From Optical Spectra," in IEEE Photonics Technology Letters, vol. 31, no. 24, pp. 1929-1932, 15 Dec.15, 2019. https://zenodo.org/record/3677082#.X2suyovtY2x

A. Mahajan, K. Christodoulopoulos, R. Martínez,  S. Spadaro, R. Muñoz, Machine Learning Assisted EDFA Gain Ripple Modelling for Accurate QoT Estimation , in Proceedings of the 45th European Conference on Optical Communication ( ECOC 2019), 22-26 September 2019, Dublin (Irland). DOI 10.5281/zenodo.3462137 https://zenodo.org/record/3462137#.XZHXAGbtaUk