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Evaluation of the Transformer Architecture for Univariate Time Series Forecasting.

, , , и . CAEPIA, том 12882 из Lecture Notes in Computer Science, стр. 106-115. Springer, (2021)

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Hernán Benítez Jump

Elena Martínez Benítez

Edgard Benítez-Guerrero

Francisco Armando Chávez Benítez

María José Benítez Romero

 

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Asynchronous dual-pipeline deep learning framework for online data stream classification., , , и . Integr. Comput. Aided Eng., 27 (2): 101-119 (2020)Evaluation of the Transformer Architecture for Univariate Time Series Forecasting., , , и . CAEPIA, том 12882 из Lecture Notes in Computer Science, стр. 106-115. Springer, (2021)Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting., , , и . SOCO, том 1401 из Advances in Intelligent Systems and Computing, стр. 654-664. Springer, (2021)Short-term solar irradiance forecasting in streaming with deep learning., , , и . Neurocomputing, (2023)Data streams classification using deep learning under different speeds and drifts., , , и . Log. J. IGPL, 31 (4): 688-700 (июля 2023)On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data., , , и . Remote. Sens., 13 (1): 89 (2021)An Experimental Review on Deep Learning Architectures for Time Series Forecasting., , и . CoRR, (2021)On the Performance of Deep Learning Models for Time Series Classification in Streaming., , , и . SOCO, том 1268 из Advances in Intelligent Systems and Computing, стр. 144-154. Springer, (2020)Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance., , , и . CoRR, (2021)