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2020 – today
- 2024
[j2]Daesoo Lee
, Sara Malacarne, Erlend Aune:
Explainable time series anomaly detection using masked latent generative modeling. Pattern Recognit. 156: 110826 (2024)- [i4]Simen Kristoffersen, Peter Skaar Nordby, Sara Malacarne, Massimiliano Ruocco, Pablo Ortiz:
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks. CoRR abs/2407.02258 (2024) - 2023
- [j1]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:
AI Anomaly Detection for Cloudified Mobile Core Architectures. IEEE Trans. Netw. Serv. Manag. 20(2): 1976-1992 (2023) - [c3]Daesoo Lee, Sara Malacarne, Erlend Aune:
Vector Quantized Time Series Generation with a Bidirectional Prior Model. AISTATS 2023: 7665-7693 - [c2]Espen Haugsdal, Sara Malacarne, Massimiliano Ruocco:
Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles. ECML/PKDD (7) 2023: 106-121 - [i3]Daesoo Lee, Sara Malacarne, Erlend Aune:
Vector Quantized Time Series Generation with a Bidirectional Prior Model. CoRR abs/2303.04743 (2023) - [i2]Daesoo Lee, Erlend Aune, Sara Malacarne:
Masked Generative Modeling with Enhanced Sampling Scheme. CoRR abs/2309.07945 (2023) - [i1]Daesoo Lee, Sara Malacarne, Erlend Aune:
Explainable Anomaly Detection using Masked Latent Generative Modeling. CoRR abs/2311.12550 (2023) - 2021
- [c1]Min Xie, Foivos Michelinakis, Thomas Dreibholz, Joan S. Pujol Roig, Sara Malacarne, Sayantini Majumdar, Wint Yi Poe, Ahmed Elmokashfi:
An Exposed Closed-Loop Model for Customer-Driven Service Assurance Automation. EuCNC/6G Summit 2021: 419-424
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