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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Image and Signal Denoising Methods
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,335 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,335 works in the cohort · of 4,299,418page 12 of 27

Labels cover 0 of 1,335 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,335 of 1,335 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Edge-Based Perceptual Image Coding
Yi Niu, Xiaolin Wu, Guangming Shi, Xiaotian Wang
2011· article· en· IEEE Transactions on Image Processing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affunlabeled
The 2-D continuous wavelet transform
Jean-Pierre Antoine, Romain Murenzi, Pierre Vandergheynst, S. Twareque Ali
2004· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
Image Denoising in the Deep Learning Era
Saeed Izadi, Darren Sutton, Ghassan Hamarneh
2022· preprint· en· Research Square· Computer Science
distilled prediction:candidate · scholarly_communication+research_integrityconsensus · none
6
citations
affunlabeled
Multiscale-based image enhancement
T.H. Reeves, M.E. Jernigan
2002· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
6
citations
affunlabeled
TSDN: Two-Stage Raw Denoising in the Dark
Wenshu Chen, Yujie Huang, Mingyu Wang, Xiaolin Wu, Xiaoyang Zeng
2023· article· en· IEEE Transactions on Image Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Optimizing Pulse Shaping Filter for DOCSIS Systems
Tung Nguyen, J.E. Salt, Ha H. Nguyen, Brian Berscheid
2016· article· en· IEEE Transactions on Broadcasting· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About