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Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models.

, , , , , and . PRNI, page 124-127. IEEE, (2013)

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Leveraging Clinical Data to Enhance Localization of Brain Atrophy., , , , and . MLINI@NIPS, volume 9444 of Lecture Notes in Computer Science, page 60-68. Springer, (2014)Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?, and . PRNI, page 1-4. IEEE, (2018)Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI., and . ISBI, page 275-279. IEEE, (2019)Structured Sparsity Models for Brain Decoding from fMRI Data., , and . PRNI, page 5-8. IEEE Computer Society, (2012)Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions., , , and . PRNI, page 81-84. IEEE Computer Society, (2015)A multimodal multiple kernel learning approach to Alzheimer's disease detection., , , , and . MLSP, page 1-6. IEEE, (2016)Stability-Based Multivariate Mapping Using SCoRS., , and . PRNI, page 198-202. IEEE, (2013)ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression., , , , , , , , , and 5 other author(s). ABCD-NP@MICCAI, volume 11791 of Lecture Notes in Computer Science, page 133-142. Springer, (2019)Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods., , , , , and . NeuroImage, 58 (2): 560-571 (2011)Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models., , , , , and . PRNI, page 124-127. IEEE, (2013)