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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 Neural Networks and Learning Systems
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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.

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.

179 results · 1 filter active ·
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20092025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
179 works in the cohort · of 4,299,418page 3 of 4

Labels cover 0 of 179 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 179 of 179 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
LogDet Metric-Based Domain Adaptation
Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao
2020· article· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Balanced Decoupled Spatial Convolution for CNNs
Guotian Xie, Kuiyuan Yang, Ting Zhang, Jingdong Wang, Jianhuang Lai
2019· article· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Deep Multirepresentation Learning for Data Clustering
Mohammadreza Sadeghi, Narges Armanfard
2023· article· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Bi-Level Spectral Feature Selection
Zebiao Hu, Jian Wang, Kai Zhang, Witold Pedrycz, Nikhil R. Pal
2024· article· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Nearest Neighbor Multivariate Time Series Forecasting
Huiliang Zhang, Ping Nie, Lijun Sun, Benoît Boulet
2024· article· en· IEEE Transactions on Neural Networks and Learning Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
IEEE Computational Intelligence Society Information
2021· article· en· IEEE Transactions on Neural Networks and Learning Systems· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Editorial: Booming of Neural Networks and Learning Systems
Akira Hirose, Alessio Micheli, Artur d’Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi +18 more
2019· editorial· en· IEEE Transactions on Neural Networks and Learning Systems· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations

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