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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.

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1 result for “BrainSurfCNN”
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivitycs.LG

BrainSurfCNN predicts task contrasts from resting-state fingerprints, improving accuracy over baseline.

problem Predicting task-evoked activity from resting-state functional connectivity.
method Surface-based convolutional neural network (BrainSurfCNN) with reconstructive-contrastive loss.
result Significantly improved accuracy in predicting task contrasts over baseline.
BrainSurfCNNreconstructive-contrastive lossresting-state fingerprintstask-evoked activitymachine learning
2020-08-07abs ↗pdf ↗