Browsing NTNU Open by Author "Malacarne, Sara"

Now showing items 1-5 of 5

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

Haugsdal, Espen; Malacarne, Sara; Ruocco, Massimiliano (Chapter; Peer reviewed, 2023)

Accurately forecasting traffic in telecommunication networks is essential for operators to efficiently allocate resources, provide better services, and save energy. We propose Circle Attention, a novel spatial attention ...
Generative Adversarial Networks for Unsupervised Anomaly Detection in Multivariate Time-Series Telecommunications Data

Vang, Sigurd Nybakk (Master thesis, 2021)

Etter hvert som nettverksinfrastrukturen i telekommunikasjonsdomenet blir mer kompleks, blir det stadig viktigere å utvikle systemer som er i stand til ̊a automa-tisere effektiv og nøyaktig deteksjon av avvik. Slike ...
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain

Harstad, Axel; Kvaale, William (Master thesis, 2021)

På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ...
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain

Harstad, Axel; Kvaale, William (Master thesis, 2021)

På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ...
Vector Quantized Time Series Generation with a Bidirectional Prior Model

Lee, Daesoo; Malacarne, Sara; Aune, Erlend (Journal article; Peer reviewed, 2023)

Time series generation (TSG) studies have mainly focused on the use of Generative Adversarial Networks (GANs) combined with recurrent neural network (RNN) variants. However, the fundamental limitations and challenges of ...

Browsing NTNU Open by Author "Malacarne, Sara"

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

Generative Adversarial Networks for Unsupervised Anomaly Detection in Multivariate Time-Series Telecommunications Data ﻿

Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain ﻿

Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain ﻿

Vector Quantized Time Series Generation with a Bidirectional Prior Model ﻿

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

Generative Adversarial Networks for Unsupervised Anomaly Detection in Multivariate Time-Series Telecommunications Data

Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain

Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain

Vector Quantized Time Series Generation with a Bidirectional Prior Model