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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
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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 8 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.

affno abstractunlabeled
On the distance function approach to color image enhancement
M. Szczepański, Bogdan Smołka, Konstantinos N. Plataniotis, A.N. Venetsanopoulos
2003· article· en· Discrete Applied Mathematics· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
afffundno abstractunlabeled
Adaptive frame-based color image denoising
Yi Shen, Bin Han, Elena Braverman
2015· article· en· Applied and Computational Harmonic Analysis· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Weighted vector median optimization
Konstantinos N. Plataniotis, Bogdan Smołka, A.N. Venetsanopoulos
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
The continuous wavelet transform in n-dimensions
J. N. Pandey, Ν. K. Jha, O.P. Singh
2016· article· en· International Journal of Wavelets Multiresolution and Information Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Errors-in-Variables Estimation with Wavelets
Ramazan Gençay, Nikola Gradojević
2009· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
fundno affunlabeled
Sparsity based Poisson denoising
Raja Giryes, Michael Elad
2012· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Statistical processing of large image sequences
Fakhry Khellah, Paul Fieguth, M. J. Murray, Myles Allen
2004· article· en· IEEE Transactions on Image Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Wavelets for image compression
Mrinal Mandal, Sethuraman Panchanathan, T. Aboulnasr
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
fundno affno abstractunlabeled
Automatic polynomial wavelet regression
Thomas C. M. Lee, Hee‐Seok Oh
2004· article· en· Statistics and Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations

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