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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.

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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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Rough Sets and Fuzzy Logic
Retraction
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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.

939 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.
939 works in the cohort · of 4,299,418page 1 of 19

Labels cover 1 of 939 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 939 of 939 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Rough Sets and Current Trends in Computing
Wojciech Ziarko, Jerzy W. Grzymala‐Busse, Chien-Chung Chan
2008· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1,099
citations
affno abstractunlabeled
MGRS: A multi-granulation rough set
Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang
2009· article· en· Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
729
citations
afffundno abstractunlabeled
Three-way decision and granular computing
Yiyu Yao
2018· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
593
citations
afffundno abstractunlabeled
Probabilistic rough set approximations
Yiyu Yao
2007· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
591
citations
affno abstractunlabeled
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Aijun An, Guoyin Wang, Jerzy Stefanowski, Sheela Ramanna, Witold Pedrycz, Cory J. Butz
2007· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
573
citations
afffundno abstractunlabeled
Covering based rough set approximations
Yiyu Yao, Yao Bing-xue
2012· article· en· Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
490
citations
affunlabeled
CAIM discretization algorithm
Lukasz Kurgan, Krzysztof J. Cios
2004· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
449
citations
affunlabeled
Granular Prototyping in Fuzzy Clustering
A Bargiela, Witold Pedrycz, Kaoru Hirota
2004· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
433
citations
afffundno abstractunlabeled
The investigation of the Bayesian rough set model
Dominik Ślȩzak, Wojciech Ziarko
2005· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
397
citations
affunlabeled
Approximate Entropy Reducts
Dominik Ślȩzak
2002· article· en· Fundamenta Informaticae· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
272
citations
affunlabeled
Rough–Fuzzy Collaborative Clustering
Sushmita Mitra, Haider Banka, Witold Pedrycz
2006· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
258
citations
affno abstractunlabeled
Transactions on Rough Sets I
James F. Peters
2004· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
238
citations
affno abstractunlabeled
Probabilistic approach to rough sets
Wojciech Ziarko
2007· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
237
citations
affunlabeled
Game-Theoretic Rough Sets
Joseph P. Herbert, JingTao Yao
2011· article· en· Fundamenta Informaticae· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
235
citations
afffundno abstractunlabeled
Tri-level thinking: models of three-way decision
Yiyu Yao
2019· article· en· International Journal of Machine Learning and Cybernetics· Computer Science
distilled prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Granular Computing
Witold Pedrycz
2013· book· en· Industrial electronics series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
227
citations
affunlabeled
Generalized Category Discovery
Sagar Vaze, Kai Hant, Andrea Vedaldi, Andrew Zisserman
2022· article· en· 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
201
citations
affno abstractunlabeled
Triangular fuzzy decision-theoretic rough sets
Decui Liang, Dun Liu, Witold Pedrycz, Hu Pei
2013· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
188
citations
affno abstractunlabeled
Transactions on Rough Sets III
James F. Peters
2005· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
161
citations
affunlabeled
Granular clustering: a granular signature of data
Witold Pedrycz, A Bargiela
2002· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
161
citations
affunlabeled
Rough Sets and Near Sets in Medical Imaging: A Review
Aboul Ella Hassanien, Ajith Abraham, James F. Peters, Gerald Schaefer, Christopher J. Henry
2009· review· en· IEEE Transactions on Information Technology in Biomedicine· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
160
citations
affno abstractunlabeled
Rough set models in multigranulation spaces
Yiyu Yao, Yanhong She
2015· article· en· Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
159
citations
affno abstractunlabeled
Local rough set: A solution to rough data analysis in big data
Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron +3 more
2018· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
159
citations
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