https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/Head https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/provenance https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/pubinfo https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/comparatorGroup http://purl.org/dc/terms/description Lat-lon-flat machine learning trained identically on the first discipline's data and applied to the second discipline's data via the equirectangular projection, exploiting only translation equivariance in pixel space. https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/interventionGroup http://purl.org/dc/terms/description Sphere-aware machine learning trained on one discipline's data and applied to another discipline's data on the shared HEALPix substrate without retraining, exploiting rotation equivariance on the sphere. https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/outcomeGroup http://purl.org/dc/terms/description Detection accuracy on the second discipline's test set without retraining (cross-domain transfer accuracy), with in-domain accuracy on each discipline as sanity check and upper bound. https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/population http://purl.org/dc/terms/description Pairs of scientific disciplines whose data live on the sphere — for example cosmology / astrophysics, climate, Earth observation, marine biodiversity — with shared HEALPix substrate but discipline-specific background spectra and feature-location distributions. https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://data.cochrane.org/ontologies/pico/comparatorGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/comparatorGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://data.cochrane.org/ontologies/pico/interventionGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/interventionGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://data.cochrane.org/ontologies/pico/outcomeGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/outcomeGroup https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://data.cochrane.org/ontologies/pico/population https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/population https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://purl.org/dc/terms/description For two scientific discipline regimes that share the HEALPix substrate but differ in their background statistics and feature-location distributions, does a sphere-aware machine-learning approach trained on one discipline classify the other discipline without retraining at higher accuracy than an equivalent lat-lon-flat machine-learning approach trained identically, measured by cross-domain transfer accuracy? https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.cochrane.org/ontologies/pico/PICO https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/sciencelive/o/terms/EffectivenessResearchQuestions https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 http://www.w3.org/2000/01/rdf-schema#label Does sphere-aware ML on HEALPix transfer cleanly across discipline pairs without retraining? https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/provenance https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/pubinfo https://orcid.org/0000-0002-1784-2920 http://xmlns.com/foaf/0.1/name Anne Fouilloux https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://purl.org/dc/terms/created 2026-05-07T21:09:34.069Z https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://purl.org/dc/terms/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://purl.org/nanopub/x/introduces https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026 https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 http://purl.org/nanopub/x/wasCreatedAt https://nanodash.knowledgepixels.com/ https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RACJ58Gvyn91LqCKIO9zu1eijDQIeEff28iyDrJgjSJF8 https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig http://purl.org/nanopub/x/hasPublicKey MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDWv2pJnmDsBOq8OlT1aSvYXSuWT34WOp4FYqEzdnn2F0kqzcFevBqWGZDxJWC0lqCrDEuNfp2QFyPe/+nES9dlHGYIhqPi68fwK6ZiNUotRFxXou+rjFznVvUxtCL8Ede79EBHwWN61QtwSIcU12bLoZsNPFlqQASQ93BJuKlihwIDAQAB https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig http://purl.org/nanopub/x/hasSignature gbTYw+4diAm0p3FXbRcY8KYf1yMaxdE2C6YrpKM7Jh3hJZrGhXLaX0Fo7uVqNn7FVLj5TSwlnet1oYaXeuTVEe+AxACg67Cf64ZyC262OXScPD/M2vQvRcI1ZLHCS5XxqMt+jElQHehc09ZeIprrGYwBUlhQ7kyCIY0r9S8eXkU= https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74 https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0002-1784-2920