{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:31:49Z","timestamp":1775838709655,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"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":[[2021,11,2]]},"DOI":"10.1109\/la-cci48322.2021.9769850","type":"proceedings-article","created":{"date-parts":[[2022,5,11]],"date-time":"2022-05-11T20:31:46Z","timestamp":1652301106000},"page":"1-6","source":"Crossref","is-referenced-by-count":6,"title":["A novel Encoder-Decoder structure for Time Series analysis based on Bayesian Uncertainty reduction"],"prefix":"10.1109","author":[{"given":"Ricardo","family":"Llugsi","sequence":"first","affiliation":[{"name":"National Polytechnic School,Department of Electronics, Telecommunications and Information Networks (DETRI),Quito,Ecuador"}]},{"given":"Samira El","family":"Yacoubi","sequence":"additional","affiliation":[{"name":"Université de Perpignan Via Domitia,UMR Espace-Dev,Perpignan,France"}]},{"given":"Allyx","family":"Fontaine","sequence":"additional","affiliation":[{"name":"Université de Guyane,UMR Espace-Dev,Cayenne,French Guiana"}]},{"given":"Pablo","family":"Lupera","sequence":"additional","affiliation":[{"name":"National Polytechnic School,Department of Electronics, Telecommunications and Information Networks (DETRI),Quito,Ecuador"}]}],"member":"263","reference":[{"key":"ref10","author":"rasp","year":"2018","journal-title":"Statistical methods and machine learning in weather and climate modelling"},{"key":"ref11","article-title":"Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito","author":"llugsi","year":"2020","journal-title":"IEEE Andescon"},{"key":"ref12","article-title":"SRTM data","year":"2020","journal-title":"National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA)"},{"key":"ref13","article-title":"DeepAirNet: Applying Recurrent Networks for Air Quality Prediction","author":"athira","year":"2018","journal-title":"International Conference on Computational Intelligence and Data Science"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s18072220"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-55320-6"},{"key":"ref16","article-title":"A multilayer perceptron model for the correlation between satellite data and soil vulnerability in the Ferlo","author":"el yacoubi","year":"2018","journal-title":"International Journal of Parallel Emergent and Distributed Systems"},{"key":"ref17","author":"falessia","year":"2018","journal-title":"Preserving Order of Data When Validating Defect Prediction Models"},{"key":"ref18","article-title":"Deep learning with Python: develop deep learning models on Theano and TensorFlow using Keras","author":"brownlee","year":"2016","journal-title":"Machine Learning Mastery"},{"key":"ref19","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"7","DOI":"10.5120\/ijca2016910497","article-title":"Sequence to Sequence Weather Forecasting with Long Short-Term Memory Recurrent Neural Networks","volume":"143","author":"zaytar","year":"2016","journal-title":"International Journal of Computer Applications"},{"key":"ref3","author":"tao","year":"2018","journal-title":"Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app10041504"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1515\/intag-2017-0007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-19823-7_32"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.09.045"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s20082326"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref9","article-title":"Detection and removal of cloud contamination from satellite images","volume":"6408","author":"vani","year":"2006","journal-title":"Proceedings Remote Sensing of the Atmosphere and Clouds"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0"},{"key":"ref22","article-title":"Uncertainty in Profit Scoring (Bayesian Deep Learning)","author":"dotlic","year":"2019","journal-title":"Seminar Information Systems (WS18\/19)"},{"key":"ref21","article-title":"A Theoretically Grounded Application of Dropout in Recurrent Neural Networks","author":"gal","year":"2016","journal-title":"30th Conference on Neural Information Processing Systems (NIPS 2016)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62833-8_39"}],"event":{"name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","location":"Temuco, Chile","start":{"date-parts":[[2021,11,2]]},"end":{"date-parts":[[2021,11,4]]}},"container-title":["2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9769800\/9769778\/09769850.pdf?arnumber=9769850","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:01:32Z","timestamp":1656363692000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9769850\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,2]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/la-cci48322.2021.9769850","relation":{},"subject":[],"published":{"date-parts":[[2021,11,2]]}}}