Found 439 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Optimal Experimental Design for Big Data: Applications in Brain Imaging

We apply this strategy to a brain imaging dataset built by the "Consortium for Reliability and Reproducability" which consists of 24 disparate magnetic resonance imaging datasets, each with up to hundreds of individuals that were imaged multiple times. Expand abstract.
1 day ago
8/10 relevant
bioRxiv

Noncoding RNAs serve as the deadliest regulators for cancer

Here we reveal them as the most important cancer drivers for all cancer types from big data, breaking a wall to explore their biological potentials. Expand abstract.
6 days ago
4/10 relevant
arXiv

Sequence embeddings help to identify fraudulent cases in healthcare insurance

Fraud causes substantial costs and losses for companies and clients in the finance and insurance industries. Expand abstract.
7 days ago
4/10 relevant
arXiv

High-Confident Nonparametric Fixed-Width Uncertainty Intervals and Applications to Projected High-Dimensional Data and Common Mean Estimation

Nonparametric two-stage procedures to construct fixed-width confidence intervals are studied to quantify uncertainty. Expand abstract.
7 days ago
5/10 relevant
arXiv

Recognizing the Tractability in Big Data Computing

Due to the limitation on computational power of existing computers, the polynomial time does not works for identifying the tractable problems in big data computing. Expand abstract.
11 days ago
10/10 relevant
arXiv

Digital Twin: Values, Challenges and Enablers

Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Expand abstract.
11 days ago
4/10 relevant
arXiv

Toward a Global and Reproducible Science for Brain Imaging in Neurotrauma: The ENIGMA Adult Moderate/Severe Traumatic Brain Injury Working Group

Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses in AMS-TBI using structural and functional neuroimaging in combination with nonimaging biomarkers, genetics, as... Expand abstract.
11 days ago
4/10 relevant
PsyArXiv

Scalable approximate inference for state space models with normalising flows

By exploiting mini-batch stochastic gradient optimisation, variational inference has had great success in scaling up approximate Bayesian inference to big data. Expand abstract.
12 days ago
4/10 relevant
arXiv

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks

Wide ranging efforts were devoted to optimize systems that handle big data in terms of various applications performance metrics and/or infrastructure energy efficiency. Expand abstract.
13 days ago
10/10 relevant
arXiv

Spatial Information and the Legibility of Urban Form: Big Data in Urban Morphology

New spatial technology platforms and big data offer new lenses to understand, evaluate, monitor, and manage urban form and evolution. Expand abstract.
14 days ago
10/10 relevant
SocArXiv