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Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.

, , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 12/1-17. PMLR, (2023)

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On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (10): 4634-4646 (2015)Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks., , , , and . J. Big Data, 10 (1): 96 (December 2023)Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing., , , , , , and . IGARSS, page 4903-4906. IEEE, (2022)Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing., , and . IGARSS, page 1571-1574. IEEE, (2021)Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders., , , , , and . MIPRO, page 248-253. IEEE, (2021)Smart data analytics methods for remote sensing applications., , , , , , and . IGARSS, page 1405-1408. IEEE, (2014)Scalable developments for big data analytics in remote sensing., , , , , , and . IGARSS, page 1366-1369. IEEE, (2015)Cloud Deep Networks for Hyperspectral Image Analysis., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (12): 9832-9848 (2019)Scalable and parallel machine learning algorithms for statistical data mining - Practice & experience., , , , , , and . MIPRO, page 204-209. IEEE, (2015)e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science.. Guide to e-Science, Springer, (2011)