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Applying Big Transfer-based classifiers to the DEAP dataset

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871388Source: DataRank Database

Applying Big Transfer-based classifiers to the DEAP dataset is a dataset published in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022). On theSindex it has a DataRank of 0.348, placing it in the top 50.6% of the data-sharing corpus. It has been cited 4 times, with 4 citing works in its 1-hop citation network.

Top 51%percentile

0.348DataRank

Ranks in the top 51% for downstream scientific impact

Data paper Open Access4 citations · 4 citing works in its network

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Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 1.18)OA: greenTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 69%Citation Network 31%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.106

From 3 citing papers with measurable signal

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Top 4 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 4 citers.

Robust multimodal federated learning for incomplete modalities
Computer Communications202319 citations46 referencesContributes 0.065
Robust multimodal federated learning for non-IID multimodal data with incompleteness
Future Generation Computer Systems20257 citations61 referencesContributes 0.034
Emotion Recognition Through Physiological Signals and Brain Sensing
Lecture notes in networks and systems20231 citations27 referencesContributes 0.026
Context-Based Emotion Recognition: A Survey
SSRN Electronic Journal20230 citations243 referencesContributes 0.000

Authors (2)

David E. Thompson ORCID,Taylor Sweet

Live enrichment

PubMed:36086186 PMC:PMC10100746 OpenAlex:https://openalex.org/W4294975600

National Science Foundation

Grant: 1910526,CNS-1006860,EPS-1006860,EPS-0919443,ACI-1440548,CHE-1726332,NIH P20GM113109

NIGMS NIH HHS

Grant: P20 GM113109

National Science Foundation

Grant: 1910526

CHS: Small: Enhancing EEG-based Emotion Estimation with Transfer Learning, Priming, and Virtual Reality

National Institutes of Health

Grant: 2P20GM113109-06

Cognitive and Neurobiological Approaches to Plasticity (CNAP) Center Phase 2

National Science Foundation

Grant: 1726332

MRI: Acquisition of a GPU-Enabled Computer Cluster for Molecular Modeling Applications

National Science Foundation

Grant: 1006860

Prairie Light: Next Generation Networking for Mid-continent Science

National Science Foundation

Grant: 1440548

CC-IIE Networking Infrastructure: KGEN: Next-generation networking environments for biological and agricultural data-driven research at Kansas State University

National Science Foundation

Grant: 0919443

Collaborative Research: EPSCoR RII Track 2 Oklahoma and Kansas: A cyberCommons for Ecological Forecasting

FWCI

1.18

Citation Percentile

0.8%

Citation Trend

2023

2025

greenLicense: STM Policy #29

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10100746/pdf/nihms-1887445.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/9870821/9870822/09871388.pdf?arnumber=9871388

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10100746

conferencehttps://doi.org/10.1109/embc48229.2022.9871388

Fields of Study

Emotion and Mood RecognitionEEG and Brain-Computer InterfacesNeural dynamics and brain function0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyArousalEmotionsHumansNeural Networks, Computer

MeSH Terms

ArousalEmotionsHumansNeural Networks, Computer

Keywords

Computer scienceArtificial intelligenceTransfer of learningClassifier (UML)Valence (chemistry)Binary classificationPattern recognition (psychology)Artificial neural networkArousalEmotion classificationMachine learningBig dataFeature extractionAffective computingSupport vector machineData miningEmotionsHumansNeural Networks, Computer

Applying Big Transfer-based classifiers to the DEAP dataset

FAIR Checklist

DataRank Breakdown

Top 4 citers driving the network score

Authors (2)

Funding (8 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)