A Novel Methodology for the Automated Detection and Classification of Networking Anomalies. - Mohamed Moulay; Rafael A. García Leiva; Pablo J. Rojo Maroni; Javier Lazaro; Vincenzo Mancuso; Antonio Fernández Anta (INFOCOM Workshops, 2020)

TTrees: Automated Classification of Causes of Network Anomalies with Little Data. - Mohamed Moulay; Rafael A. García Leiva; Vincenzo Mancuso; Pablo J. Rojo Maroni; Antonio Fernández Anta (WOWMOM, 2021)

MonTrees: Automated Detection and Classification of Networking Anomalies in Cellular Networks. - Mohamed Moulay; Rafael A. García Leiva; Pablo J. Rojo Maroni; Vincenzo Mancuso; Antonio Fernández Anta; Ali Safari Khatouni (CoRR, 2021)

Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks. - Juan Marcos Ramirez; Pablo J. Rojo Maroni; Fernando Díez Muñoz; Vincenzo Mancuso; Antonio Fernández Anta (MedComNet, 2022)

Automated identification of network anomalies and their causes with interpretable machine learning: The CIAN methodology and TTrees implementation. - Mohamed Moulay; Rafael A. García Leiva; Pablo J. Rojo Maroni; Fernando Díez Muñoz; Vincenzo Mancuso; Antonio Fernández Anta (Comput. Commun., 2022)

Explainable machine learning for performance anomaly detection and classification in mobile networks. - Juan Marcos Ramirez; Fernando Díez Muñoz; Pablo J. Rojo Maroni; Vincenzo Mancuso; Antonio Fernández Anta (Comput. Commun., 2023)