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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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2 results for “tfMRI”

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analyticscs.DC

A fast and scalable deep learning model for analyzing fMRI data.

problem Challenges in modeling and analyzing large-scale fMRI data.

method Distributed deep Convolutional Autoencoder model leveraging multiple GPUs and Apache Spark.

result Efficient and scalable model for extracting hierarchical neuroscientific information from fMRI big data.

fMRI deep learning Convolutional Autoencoder big data distributed computing

2017-10-24abs ↗pdf ↗

Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysiscs.LG

Novel DLSC framework improves high-res tfMRI connectivity.

problem Denoising high-resolution tfMRI data for precise connectivity analysis.

method Dictionary Learning and Sparse Coding (DLSC) with task-specific prior knowledge.

result Significant improvement in prominent connectivity patterns compared to other methods.

tfMRI denoising functional connectivity dictionary learning sparse coding

2017-07-21abs ↗pdf ↗