Not sure it’s what you’re looking for, but here the algorithm was sent to funding source, who then sent scientists stimuli, who in turn collected data and sent to funding source for them to run the algorithm.https://www.nature.com/articles/s41467-018-03068-4 …
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Thanks! I will have a closer look later, but it seems this is (one of) the first (only) paper following what should become the ultimate gold standard
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Not to my knowledge. “Preregistration” as I understand it is a lot more stringent than doing the cross-validation properly and sharing the code, which itself isn’t as common as necessary. Open challenges like Kaggle, TADPOLE, CADDEMENTIA are the closest!https://twitter.com/raamana_/status/1027989248614514693?s=20 …
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Not RR but our work predicting attention applies exact same model to new datasets (incl http://biorxiv.org/content/10.1101/700476v1 … & 5 other external validations) & work w/PINES takes similar approach (e.g., http://pnas.org/content/113/36/10037 …). I call these models “publication-preregistered”
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You might consider competition papers which did not evaluate the performance of their own algorithms applied to hidden data (cf https://jhu.pure.elsevier.com/en/publications/the-tenth-annual-mlsp-competition-schizophrenia-classification-ch-4 …).
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Also the challenges MICCAI. E.g. our connectome classification
@miccai2019 (http://brainconnectivity.net ). Training & validation data was released. Approaches were submitted (docker) and tested (by us) on unreleased testing data (in the last stages of writeup)@aiwernc@ArchanaVen
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No RRs that I can immediately think of that for this description exactly but this RR by
@RegineZopf et al comes to mind as being in the general ballparkhttps://reader.elsevier.com/reader/sd/pii/S0010945218301631 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Is abcd challenge close to what you are looking for? https://sibis.sri.com/abcd-np-challenge/ …
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