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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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Neural Networks and Applications
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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.

2,372 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.
2,372 works in the cohort · of 4,299,418page 3 of 48

Labels cover 1 of 2,372 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 2,372 of 2,372 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.

affno abstractunlabeled
Radial Basis Function Networks
Ke-Lin Du, M. N. S. Swamy
2013· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
83
citations
affunlabeled
Neural Network Architectures
Witold Pedrycz
2008· other· en· Wiley Encyclopedia of Computer Science and Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
80
citations
affno abstractunlabeled
Pattern Recognition and Artificial Intelligence
Éric Granger, Pong C. Yuen, Umapada Pal, Nicole Vincent
2022· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
On fuzzy neuron models
Μ.Μ. Gupta, Jiawei Qi
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
74
citations
afffundno abstractunlabeled
Feedback Synthesizes Neural Codes for Motion
Stephen E. Clarke, Leonard Maler
2017· article· en· Current Biology· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
A Unified Approach To Fractal Dimensions
Witold Kinsner
2007· article· en· International Journal of Cognitive Informatics and Natural Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
afffundunlabeled
Interpretable Deep Convolutional Fuzzy Classifier
Mojtaba Yeganejou, Scott Dick, James Miller
2019· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
affno abstractunlabeled
Knowledge-based Systems
Ling Liu, M. TAMER ÖZSU
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
affno abstractunlabeled
Neural Networks: A Guided Tour
S. Haykin
2000· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall, Max Welling
2019· article· en· UvA-DARE (University of Amsterdam)· Computer Science
machine prediction:candidate · noneconsensus · none
58
citations
affno abstractunlabeled
Fuzzy relational neural network
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola
2005· article· en· International Journal of Approximate Reasoning· Computer Science
machine prediction:candidate · noneconsensus · none
55
citations
affno abstractunlabeled
AE—Automation and Emerging Technologies
Muhammad A. Shahin, E. W. Tollner, R. W. McClendon
2001· article· en· Journal of Agricultural Engineering Research· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Big Neural Networks Waste Capacity
Yann Dauphin, Yoshua Bengio
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations

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