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Recruitment of the pre-motor area in human inductive reasoning: An fMRI study., , , and . Cognitive Systems Research, 11 (1): 74-80 (2010)Robust multi-atlas label propagation by deep sparse representation., , , , , , and . Pattern Recognition, (2017)Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification., , , , and . Front. Neuroinform., (2018)Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence., , , , , and . IJCNN, page 873-879. IEEE, (2007)Different Strategies in Solving Series Completion Inductive Reasoning Problems: An fMRI and Computational Study., , , , and . CogSci, cognitivesciencesociety.org, (2013)Brain activation detection by neighborhood one-class SVM., , , , , and . Cognitive Systems Research, 11 (1): 16-24 (2010)Decreased Cerebral Blood Flow in Mesial Thalamus and Precuneus/PCC during Midazolam Induced Sedation Assessed with ASL., , , , and . Neuroinformatics, 16 (3-4): 403-410 (2018)Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study., , , , , , and . Brain Informatics, volume 6334 of Lecture Notes in Computer Science, page 387-398. Springer, (2010)ERP characteristics of sentential inductive reasoning in time and frequency domains., , , and . Cognitive Systems Research, 11 (1): 67-73 (2010)The Time Course of Human Inductive Strength Judgment: An ERP Study., , , , and . Web Intelligence/IAT Workshops, page 43-46. IEEE Computer Society, (2007)