Sara Malacarne

According to our database, Sara Malacarne authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable time series anomaly detection using masked latent generative modeling.

Daesoo Lee, Sara Malacarne, Erlend Aune

Pattern Recognit., 2024

SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks.

Simen Kristoffersen, Peter Skaar Nordby, Sara Malacarne, Massimiliano Ruocco, Pablo Ortiz

CoRR, 2024

2023

AI Anomaly Detection for Cloudified Mobile Core Architectures.

Foivos Michelinakis, Joan S. Pujol Roig, Sara Malacarne, Min Xie, Thomas Dreibholz, Sayantini Majumdar, Wint Yi Poe, Georgios Patounas, Carmen Guerrero, Ahmed Elmokashfi, Vasileios Theodorou

IEEE Trans. Netw. Serv. Manag., June, 2023

Explainable Anomaly Detection using Masked Latent Generative Modeling.

Daesoo Lee, Sara Malacarne, Erlend Aune

CoRR, 2023

Masked Generative Modeling with Enhanced Sampling Scheme.

Daesoo Lee, Erlend Aune, Sara Malacarne

CoRR, 2023

Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles.

Espen Haugsdal, Sara Malacarne, Massimiliano Ruocco

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Vector Quantized Time Series Generation with a Bidirectional Prior Model.

Daesoo Lee, Sara Malacarne, Erlend Aune

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

An Exposed Closed-Loop Model for Customer-Driven Service Assurance Automation.

Min Xie, Foivos Michelinakis, Thomas Dreibholz, Joan S. Pujol Roig, Sara Malacarne, Sayantini Majumdar, Wint Yi Poe, Ahmed Elmokashfi

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021