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Reassessing Deep Learning in Time Series: Predicting Time w..:
, In:
2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
,
C B, Vinutha
;
V, Vivek
;
Pandeya, Megha
- p. 1379-1384 , 2023
Link:
https://doi.org/10.1109/ICAICCIT60255.2023.10465902
RT T1 <cTitle>2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)</cTitle>: T1 <Title>Reassessing Deep Learning in Time Series: Predicting Time with Foresight</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10465902&Exemplar=1&LAN=DE A1 C B, Vinutha A1 V, Vivek A1 Pandeya, Megha YR 2023 K1 Deep learning K1 Training K1 Atmospheric modeling K1 Time series analysis K1 Neural networks K1 Traffic control K1 Predictive models K1 Deep Learning K1 Time Series Forecasting K1 Gradient Boosted Regression Trees (GBRT) K1 Feature Engineering K1 DNN and Temporal Regularized Matrix Factorization SP 1379 OP 1384 LK http://dx.doi.org/https://doi.org/10.1109/ICAICCIT60255.2023.10465902 DO https://doi.org/10.1109/ICAICCIT60255.2023.10465902 SF ELIB - SuUB Bremen
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