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Querying discriminative and representative samples for batch mode active learning.

, and . KDD, page 158-166. ACM, (2013)

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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)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)Scalable Distributed Hashing for Approximate Nearest Neighbor Search., , , , , , and . IEEE Trans. Image Process., (2022)Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework., , , and . IEEE Trans. Knowl. Data Eng., 34 (5): 2280-2292 (2022)Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data., , , , and . IEEE Trans. Knowl. Data Eng., 30 (7): 1310-1323 (2018)Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics., , , , , , and . CoRR, (2017)A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (5): 1025-1038 (2013)