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Quantifying Uncertainty in Deep Spatiotemporal Forecasting

(2021)10.1145/3447548.3467325Source: DataRank Database

Quantifying Uncertainty in Deep Spatiotemporal Forecasting is a research paper (2021). On theSindex it has a DataRank of 0. It has been cited 54 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access54 citations

Free full text

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: goldTopics (13)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Liyao Gao ORCID,Matteo Chinazzi ORCID,Xinyue Xiong ORCID,Alessandro Vespignani ORCID,Yi-An Ma ORCID

Live enrichment

PubMed:21097893

HHS/CDC

Grant: 5U01IP0001137, 6U01IP001137

DARPA

Grant: W31P4Q-21-C-0014

NSF Grant

Grant: #2037745

National Science Foundation

Grant: 0001137

Time-Critical Public Archiving of Digital Seismic Data

National Institutes of Health

Grant: 5U01IP001137-04

RFA-IP-20-003, FluMod - Center for the Multiscale Modeling of Pandemic and seasonal Flu Prevention and Control

National Science Foundation

Grant: 2037745

CRII: III: Multiresolution Tensor Learning for Scalable and Interpretable Spatiotemporal Analysis

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3447548.3467325

publisherhttps://dl.acm.org/doi/10.1145/3447548.3467325

https://doi.org/10.1145/3447548.3467325

https://dx.doi.org/10.48550/arxiv.2105.11982

http://arxiv.org/abs/2105.11982

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology01 natural sciences0105 earth and related environmental sciences

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceStatistics - Machine LearningApplications (stat.AP)Machine Learning (stat.ML)Statistics - ApplicationsMachine Learning (cs.LG)