Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions

Gastón García González; Sergio Martinez Tagliafico; Alicia Fernández; Gabriel Gómez; José Acuña; Camilo Mariño; Pedro Casas-Hernandez

Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions

Gastón García González (Vortragende:r)
, Sergio Martinez Tagliafico
, Alicia Fernández
, Gabriel Gómez
, José Acuña
, Camilo Mariño
, Pedro Casas-Hernandez

Data Science & Artifical Intelligence

Universidad de la República

Publikation: Posterpräsentation ohne Beitrag in Tagungsband › Posterpräsentation ohne Eintrag in Tagungsband › Begutachtung

Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS) - Dauer: 15 Aug. 2022 → …

Konferenz

Konferenz	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS)
Zeitraum	15/08/22 → …

Research Field

Ehemaliges Research Field - Data Science

Diese Publikation zitieren

González, G. G., Martinez Tagliafico, S., Fernández, A., Gómez, G., Acuña, J., Mariño, C., & Casas-Hernandez, P. (2022). Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions. Beitrag in 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS).

González, Gastón García ; Martinez Tagliafico, Sergio ; Fernández, Alicia et al. / Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions. Beitrag in 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS).

@conference{4895bb39a5c1480b8ae2ef869fbba578,

title = "Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions",

author = "Gonz{\'a}lez, \{Gast{\'o}n Garc{\'i}a\} and \{Martinez Tagliafico\}, Sergio and Alicia Fern{\'a}ndez and Gabriel G{\'o}mez and Jos{\'e} Acu{\~n}a and Camilo Mari{\~n}o and Pedro Casas-Hernandez",

year = "2022",

language = "English",

note = "8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS) ; Conference date: 15-08-2022",

}

González, GG, Martinez Tagliafico, S, Fernández, A, Gómez, G, Acuña, J, Mariño, C & Casas-Hernandez, P 2022, 'Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions', Beitrag in 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS), 15/08/22.

Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions. / González, Gastón García (Vortragende:r); Martinez Tagliafico, Sergio; Fernández, Alicia et al.
2022. Beitrag in 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS).

Publikation: Posterpräsentation ohne Beitrag in Tagungsband › Posterpräsentation ohne Eintrag in Tagungsband › Begutachtung

TY - CONF

T1 - Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions

AU - Martinez Tagliafico, Sergio

AU - Fernández, Alicia

AU - Gómez, Gabriel

AU - Acuña, José

AU - Mariño, Camilo

AU - Casas-Hernandez, Pedro

A2 - González, Gastón García

PY - 2022

Y1 - 2022

M3 - Poster presentation without proceedings

T2 - 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS)

Y2 - 15 August 2022

ER -

González GG, Martinez Tagliafico S, Fernández A, Gómez G, Acuña J, Mariño C et al.. Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions. 2022. Beitrag in 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS).