{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T05:47:29Z","timestamp":1776145649305,"version":"3.50.1"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:00:00Z","timestamp":1716249600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:00:00Z","timestamp":1716249600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,21]]},"DOI":"10.23919\/tma62044.2024.10559129","type":"proceedings-article","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T17:23:26Z","timestamp":1718904206000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis"],"prefix":"10.23919","author":[{"given":"Gast\u00f3n Garc\u00eda","family":"Gonz\u00e1lez","sequence":"first","affiliation":[{"name":"Universidad de la República,IIE-FING,Montevideo,Uruguay"}]},{"given":"Pedro","family":"Casas","sequence":"additional","affiliation":[{"name":"AIT, Austrian Institute of Technology,Vienna,Austria"}]},{"given":"Emilio","family":"Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Universidad de la República,IIE-FING,Montevideo,Uruguay"}]},{"given":"Alicia","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Universidad de la República,IIE-FING,Montevideo,Uruguay"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Auto-encoding Variational Bayes","volume":"abs\/1312.6114","author":"Kingma","year":"2013","journal-title":"CoRR"},{"key":"ref2","first-page":"1","article-title":"One Model to Find Them All - Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data","author":"Garc\u00edaGonz\u00e1lez","year":"2023","journal-title":"IEEE Transactions on Network and Service Management"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3439950"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref5","author":"Garza","year":"2023","journal-title":"TimeGPT-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3342137"},{"key":"ref7","author":"Gruver","year":"2023","journal-title":"Large Language Models Are Zero-Shot Time Series Forecasters"},{"key":"ref8","author":"Das","year":"2024","journal-title":"A Decoder-only Foundation Model for Time-series Forecasting"},{"key":"ref9","author":"Rasul","year":"2024","journal-title":"Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting"},{"key":"ref10","article-title":"Time-LLM: Time series forecasting by reprogramming large language models","volume-title":"International Conference on Learning Representations (ICLR)","author":"Jin","year":"2024"},{"key":"ref11","author":"Gonz\u00e1lez","year":"2023","journal-title":"TELCO - a new Multivariate Time-Series Dataset for Anomaly Detection in Mobile Networks"}],"event":{"name":"2024 8th Network Traffic Measurement and Analysis Conference (TMA)","location":"Dresden, Germany","start":{"date-parts":[[2024,5,21]]},"end":{"date-parts":[[2024,5,24]]}},"container-title":["2024 8th Network Traffic Measurement and Analysis Conference (TMA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10558852\/10558886\/10559129.pdf?arnumber=10559129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T19:17:42Z","timestamp":1719343062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10559129\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,21]]},"references-count":11,"URL":"https:\/\/doi.org\/10.23919\/tma62044.2024.10559129","relation":{},"subject":[],"published":{"date-parts":[[2024,5,21]]}}}