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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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Face and Expression Recognition
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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.

895 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.
895 works in the cohort · of 4,299,418page 1 of 18

Labels cover 0 of 895 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 895 of 895 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
Representation Learning: A Review and New Perspectives
Yoshua Bengio, Aaron Courville, P. M. Durai Raj Vincent
2013· review· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
13,002
citations
affunlabeled
Neighbourhood Components Analysis
Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis, Ruslan Salakhutdinov
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1,729
citations
affunlabeled
Maximum-Margin Matrix Factorization
Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
960
citations
affunlabeled
Face recognition using LDA-based algorithms
Juwei Lu, Konstantinos N. Plataniotis, A.N. Venetsanopoulos
2003· article· en· IEEE Transactions on Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
799
citations
affunlabeled
Maximum Margin Clustering
Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
457
citations
affunlabeled
Probabilistic Models for Inference about Identity
Peng Li, Yun Fu, U. Mohammed, James H. Elder, Simon J. D. Prince
2011· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
221
citations
affunlabeled
Support Vector Machines
Nick Guenther, Matthias Schonlau
2016· article· en· The Stata Journal Promoting communications on statistics and Stata· Computer Science
machine prediction:candidate · noneconsensus · none
218
citations
affno abstractunlabeled
Two-dimensional FLD for face recognition
Huilin Xiong, M.N.S. Swamy, M. Omair Ahmad
2005· article· en· Pattern Recognition· Computer Science
machine prediction:candidate · noneconsensus · none
201
citations
affunlabeled
Iterative Closest Normal Point for 3D Face Recognition
Hoda Mohammadzade, Dimitrios Hatzinakos
2013· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
129
citations
affunlabeled
Color Face Recognition for Degraded Face Images
Jae Young Choi, Yong Man Ro, Konstantinos N. Plataniotis
2009· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
machine prediction:candidate · noneconsensus · none
111
citations
affno abstractunlabeled
Multi-view subspace clustering via partition fusion
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
2021· article· en· Information Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
110
citations
affno abstractunlabeled
Deep Spectral Clustering Learning.
Marc T. Law, Raquel Urtasun, Richard S. Zemel
2017· article· en· International Conference on Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
Manifold Parzen Windows
Pascal Vincent, Yoshua Bengio
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations

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