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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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IEEE Transactions on Image Processing
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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.

367 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.
367 works in the cohort · of 4,299,418page 7 of 8

Labels cover 0 of 367 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 367 of 367 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
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
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Edge-Based Perceptual Image Coding
Yi Niu, Xiaolin Wu, Guangming Shi, Xiaotian Wang
2011· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
7
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
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Burst-Loss-Resilient Packetization of Video
Hadi Hadizadeh, Ivan V. Bajić
2011· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Image Multidistortion Estimation
Andre Louis Caron, Pierre‐Marc Jodoin
2011· article· en· IEEE Transactions on Image Processing· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Convolutional Deblurring for Natural Imaging
Mahdi S. Hosseini, Konstantinos N. Plataniotis
2019· preprint· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Modeling Generalized Rate-Distortion Functions
Zhengfang Duanmu, Wentao Liu, Zhuoran Li, Zhou Wang
2020· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

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