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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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Advanced Data Compression Techniques
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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.

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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.

855 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.
855 works in the cohort · of 4,299,418page 1 of 18

Labels cover 0 of 855 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 855 of 855 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Lossless compression of color mosaic images
Ning Zhang, Xiaolin Wu
2006· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
274
citations
affunlabeled
Jaudio: An Feature Extraction Library.
Daniel McEnnis, Cory McKay, Ichiro Fujinaga, Philippe Depalle
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
Fast CELP coding based on algebraic codes
J.-P. Adoul, P. Mabilleau, M. Delprat, S. Morissette
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
165
citations
affunlabeled
Adaptive scalable texture compression
Jørn Nystad, Anders Lassen, Andrew Pomianowski, Stephen Ellis, Thomas J. Olson
2012· article· en· High Performance Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
Generalized S transform
Michael D. Adams, F. Kossentini, Rabab Ward
2002· article· en· IEEE Transactions on Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
55
citations
affunlabeled
Prioritized Region of Interest Coding in JPEG2000
Víctor Sánchez, Anup Basu, Mrinal Mandal
2004· article· en· IEEE Transactions on Circuits and Systems for Video Technology· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
An FPGA-Based People Detection System
Vinod Nair, Pierre-Olivier Laprise, James J. Clark
2005· article· en· EURASIP Journal on Advances in Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
On the Rate-Distortion-Perception Function
Jun Chen, Lei Yu, Jia Wang, Wuxian Shi, Yiqun Ge, Wen Tong
2022· article· en· IEEE Journal on Selected Areas in Information Theory· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations

How this was built: Screen · Findings · About