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Breast mass classification in digital mammography based on extreme learning machine., , and . Neurocomputing, (2016)Weakly supervised adversarial learning via latent space for hyperspectral target detection., , , , , and . Pattern Recognit., (2023)Discriminative Feature Learning Constrained Unsupervised Network for Cloud Detection in Remote Sensing Imagery., , , , , and . Remote. Sens., 12 (3): 456 (2020)Residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images., , , , and . Remote. Sens., 13 (1): 115 (2021)Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection., , , , and . Neural Networks, (2019)Hyperspectral Pansharpening With Deep Priors., , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (5): 1529-1543 (2020)Spectral mapping with adversarial learning for unsupervised hyperspectral change detection., , , , and . Neurocomputing, (2021)SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery., , , , , and . CoRR, (2022)Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification., , , , , and . CoRR, (2024)Spectral-Spatial Feature Extraction for Hyperspectral Anomaly Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (10): 8131-8143 (2019)