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Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning.

, , , and . IWANN (2), volume 14135 of Lecture Notes in Computer Science, page 15-26. Springer, (2023)

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Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning., , , and . IWANN (2), volume 14135 of Lecture Notes in Computer Science, page 15-26. Springer, (2023)A novel approach to discover numerical association based on the coronavirus optimization algorithm., , , and . SAC, page 1148-1151. ACM, (2022)Quantitative Association Rules Applied to Climatological Time Series Forecasting., , , and . IDEAL, volume 5788 of Lecture Notes in Computer Science, page 284-291. Springer, (2009)Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules., , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 694-705. Springer, (2016)Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms., , , and . ICAART (1), page 574-577. SciTePress, (2011)ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules., , , and . HAIS, volume 8073 of Lecture Notes in Computer Science, page 578-587. Springer, (2013)Obtaining optimal quality measures for quantitative association rules., , , and . Neurocomputing, (2016)Analysis of Measures of Quantitative Association Rules., and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 319-326. Springer, (2011)A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma., , , and . HAIS, volume 14001 of Lecture Notes in Computer Science, page 731-742. Springer, (2023)An evolutionary algorithm to discover quantitative association rules in multidimensional time series., , , and . Soft Comput., 15 (10): 2065-2084 (2011)