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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

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Big Data at Didi Chuxing.. SIGIR, page 1341. ACM, (2018)Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data., , , and . SDM, page 288-296. SIAM, (2018)Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images., , , , , , and . IEEE Trans. Medical Imaging, 40 (8): 2030-2041 (2021)Deep convolutional neural networks for annotating gene expression patterns in the mouse brain., , , , and . BMC Bioinform., (2015)Embedded sparse representation of fMRI data via group-wise dictionary optimization., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841K. SPIE, (2016)Low-Rank and Sparse Multi-task Learning., , and . Low-Rank and Sparse Modeling for Visual Analysis, Springer, (2014)Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation., , , , , and . KDD, page 617-626. ACM, (2015)Robust multi-task feature learning., , and . KDD, page 895-903. ACM, (2012)Fused Multiple Graphical Lasso, , , , and . CoRR, (2012)Road Network Metric Learning for Estimated Time of Arrival., , , , and . ICPR, page 1820-1827. IEEE, (2020)