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Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification., , , and . IGARSS, page 576-579. IEEE, (2019)Cloud Deep Networks for Hyperspectral Image Analysis., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (12): 9832-9848 (2019)Neural Ordinary Differential Equations for Hyperspectral Image Classification., , , and . IEEE Trans. Geosci. Remote. Sens., 58 (3): 1718-1734 (2020)Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification., , , , and . IGARSS, page 2726-2729. IEEE, (2022)Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis., , , , , , and . IGARSS, page 9835-9838. IEEE, (2019)A Recommendation System for Electronic Health Records in the Context of the HOPE Project., , , , , , , , , and 1 other author(s). CBMS, page 603-608. IEEE, (2021)Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview., , , , and . Remote. Sens., 12 (3): 534 (2020)Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines., , , and . J. Real-Time Image Processing, 15 (3): 439-462 (2018)