MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Image and Signal Denoising Methods
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
venuejournal
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 20 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.

venueno affunlabeled
A New Method For Image Denoising
JI Weixun
2010· article· en· Microcomputer applications· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
RESTORATION OF BLURRED IMAGES
M. El-Gabali, M. Shridhar, Majid Ahmadi, J.A. Kekre
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Image Denoising Based on Improved Hybrid Genetic Algorithm
Nail Alaoui, Amel Baha Houda Adamou‐Mitiche, Lahcène Mitiche, Lakhdar Bouhamla
2021· article· en· Review of Computer Engineering Studies· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
LUM PROCESSOR WITH NEURAL DECISION
Rastislav Lukàč, Pavol Galajda, Alena Galajdová
2006· article· en· International Journal of Pattern Recognition and Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Improved CFA Interpolation Approach
Konstantinos N. Plataniotis, Dimitrios Hatzinakos, Bogdan Smołka
2004· article· en· Conference on Colour in Graphics Imaging and Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Generalized non-local means filtering for image denoising
Sudipto Dolui, Iván C. Salgado Patarroyo, Oleg Michailovich
2014· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Wavelet-Galerkin methods for second kind integral equations
Donggao Deng, Daren Huang, Rong-Qing Jia, Wei Lin, Jianzhong Wang
2002· book-chapter· en· AMS/IP studies in advanced mathematics· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations

How this was built: Screen · Findings · About