@prefix this: <https://w3id.org/sciencelive/np/RA9PP1TVbvRwEv9UNHYfGWvfCXtxCe3f6_xJnf-YbAgSc> .
@prefix sub: <https://w3id.org/sciencelive/np/RA9PP1TVbvRwEv9UNHYfGWvfCXtxCe3f6_xJnf-YbAgSc/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  sub:supervised-pretraining-outcome a <https://w3id.org/sciencelive/o/terms/FORRT-Replication-Outcome>;
    <http://schema.org/endDate> "2026-04-17";
    <http://www.w3.org/2000/01/rdf-schema#label> "Supervised pretraining matches episodic meta-learning on EuroSAT with 12× less compute";
    <https://w3id.org/sciencelive/o/terms/hasConclusionDescription> "Standard supervised pretraining — training ResNet-10 to classify everyday objects for 10 epochs (~15 minutes) — achieves 76.2% accuracy on 5-way 5-shot Sentinel-2 satellite land cover classification. This is comparable to episodic meta-learning trained for 40,000 episodes (~3 hours) which achieves 75.0%. Supervised pretraining requires no meta-learning framework or expertise, only standard deep learning classification training, making cross-domain few-shot satellite classification accessible to researchers without specialised AI knowledge.";
    <https://w3id.org/sciencelive/o/terms/hasConfidenceLevel> <https://w3id.org/sciencelive/o/terms/HighConfidence>;
    <https://w3id.org/sciencelive/o/terms/hasEvidenceDescription> "Supervised 10 epochs: 5-shot 76.2% ± 1.7%, 20-shot 79.5% ± 1.1%, 50-shot 81.5% ± 1.2%. Episodic 40,000 steps: 5-shot 75.0% ± 0.8%, 20-shot 81.9% ± 0.6%, 50-shot 82.9% ± 0.6%. Training time: supervised ~15 minutes, episodic ~3 hours (12× faster). Same ResNet-10 backbone, 224×224 images, same data augmentation.";
    <https://w3id.org/sciencelive/o/terms/hasLimitationsDescription> "Only 10 supervised epochs (full convergence at 400 epochs may improve results further). Wider confidence intervals (±1.7%) due to 100 evaluation episodes. Only RGB bands from EuroSAT used. Supervised approach may perform differently on target domains more dissimilar to photographs than satellite imagery.";
    <https://w3id.org/sciencelive/o/terms/hasOutcomeRepository> <https://doi.org/10.5281/zenodo.19643138>;
    <https://w3id.org/sciencelive/o/terms/hasValidationStatus> <https://w3id.org/sciencelive/o/terms/Validated>;
    <https://w3id.org/sciencelive/o/terms/isOutcomeOf> <https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/supervised-pretraining> .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://orcid.org/0000-0002-1784-2920> .
}

sub:pubinfo {
  <https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
  
  this: dc:created "2026-04-18T16:18:39.812Z"^^xsd:dateTime;
    dc:creator <https://orcid.org/0000-0002-1784-2920>;
    dc:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:introduces sub:supervised-pretraining-outcome;
    npx:wasCreatedAt <https://platform.sciencelive4all.org>;
    <http://www.w3.org/2000/01/rdf-schema#label> "NP created using Declaring a replication study outcome according to FORRT";
    <https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate> <https://w3id.org/np/RA2zljn0Nw9SadppOyxZoh-_Rxosslrq-vYG-p9SttnJE> .
  
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    npx:signedBy <https://orcid.org/0000-0002-1784-2920> .
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