nips33

NeurIPS(NIPS) 2016 论文列表

Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers.

An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes.
Hyperalignment of Multi-subject fMRI Data by Synchronized Projections.
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis.
Fast and Improved SLEX Analysis of High-Dimensional Time Series.
Classification-Based Causality Detection in Time Series.
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.
Leveraging Clinical Data to Enhance Localization of Brain Atrophy.
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.
Combining Different Modalities in Classifying Phonological Categories.
Automated Speech Analysis for Psychosis Evaluation.
Mapping Tractography Across Subjects.
The New Graph Kernels on Connectivity Networks for Identification of MCI.
Multi-Task Learning for Interpretation of Brain Decoding Models.