# Haut PDF Learning representations from functional MRI data

### Learning representations from functional MRI data

**functional**brain-imaging technologies, cog- nitive neuroscience is accumulating maps of neural activity responses to specific tasks or stimuli, or of spontaneous ...consider

**data**

**from**...

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### Operator-valued Kernels for Learning from Functional Response Data

**functional**

**data**is how one can find an appropriate space and a basis in which the functions can be decomposed in a computationally feasible way while taking into account the

**functional**nature of ...

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### Learning from genomic data : efficient representations and algorithms.

**representations**learned by these deep convolutional architectures were shown to capture concepts such as edges or textures in the first layers, and objects or parts of objects such as eyes or cats in deeper ...

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### Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG

**data**showed that the solutions found by using func- tional and diffusion

**MRI**identify fewer cortical regions while still explaining the M/EEG ...activity

**from**MEG measurements is an ill-posed ...

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### Kernel-based learning on hierarchical image representations : applications to remote sensing data classification

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### Learning representations for Information Retrieval

**representations**of documents and ...useful

**representations**for documents and queries has always been central to information retrieval ...such

**representations**and the relevance relationship ...

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### Learning from ranking data : theory and methods

**data**. However, summarizing ranking variability is far

**from**straightforward and extending simple concepts such as that of an average or median in the context of preference

**data**, ...far

**from**...

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### Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training

**MRI**and the true [ 11 C]PIB PET DVR parametric ...multimodal

**MRI**and the myelin content in ...multimodal

**MRI**

**data**is complex, and only two layers are not powerful enough to ...

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### Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps

**from**the pre-existing cohort ...T1

**MRI**were trained to distinguish: LOAD vs Depression, FTD vs LOAD, EOAD vs Depression, EOAD vs ...tridimensional

**representations**of discriminant atrophy ...

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### Learning Disentangled Representations via Mutual Information Estimation

**learning**success involves supervised

**learning**where massive amounts of labeled

**data**are used to learn useful

**representations**

**from**raw ...labeled

**data**is not always ...

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### Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures

**Learning**

**Representations**of GAN-

**data**Behave as Gaussian Mixtures tors and thus an appropriate statistical model of realistic ...these

**representations**is the same as on a GMM model with ...

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### A shape base framework to segmentation of tongue contours from MRI data

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### Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data

**learning**paper? Paving the way towards fully-reproducible research on classification of Alzheimer’s disease’, Machine

**Learning**in Medical Imaging, MLMI 2017, LNCS, ...

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### Learning Multicriteria Fuzzy Classification Method PROAFTN from Data

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### Frankenstein: Learning Deep Face Representations using Small Data

**learning**achieve promising performance for uncontrolled face recognition, it remains cumbersome to improve the design of hand-crafted local features (such as SIFT [25]) and their aggregation mechanisms ...

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### Using partial correlation to enhance structural equation modeling of functional MRI data.

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### Fuzzy Rule Learning for Material Classification from Imprecise Data

**learning**or parameteriza- tion since it relies on the manual selection of a ...classical

**representations**that have been used in conjunction with this ...

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### Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

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### Role of homeostasis in learning sparse representations.

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### Learning Obstacle Representations for Neural Motion Planning

**learning**1 Introduction Motion planning is a fundamental robotics problem [ 2 , 3 ] with numerous applications in mo- bile robot navigation [ 4 ], industrial robotics [ 5 ], humanoid robotics [ 6 ] ...

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