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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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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.

288 results · 1 filter active ·
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20052025
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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.
288 works in the cohort · of 4,299,418page 1 of 6

Labels cover 0 of 288 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 288 of 288 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Long Short-Term Memory
Alex Graves
2012· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2,210
citations
affno abstractunlabeled
Advances in Intelligent Tutoring Systems
2010· book· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
362
citations
affno abstractunlabeled
PySyft: A Library for Easy Federated Learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, Benjamin Szymkow, Bobby Wagner, Emma Bluemke +6 more
2021· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
208
citations
affno abstractunlabeled
Computational Intelligence: An Introduction
Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
2016· book-chapter· en· Studies in computational intelligence· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
178
citations
affno abstractunlabeled
Opposition-Based Differential Evolution
Shahryar Rahnamayan, Hamid R. Tizhoosh, M.M.A. Salama
2008· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
123
citations
affno abstractunlabeled
Multiagent based Supply Chain Management
Brahim Chaib-draa
2006· book· en· Studies in computational intelligence· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
99
citations
afffundno abstractunlabeled
Building Intelligent Tutoring Systems for Ill-Defined Domains
Philippe Fournier‐Viger, Roger Nkambou, Engelbert Mephu Nguifo
2010· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
57
citations
affno abstractunlabeled
Modeling Tutoring Knowledge
Jacqueline Bourdeau, Monique Grandbastien
2010· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
41
citations
affno abstractunlabeled
Evolving Culture Versus Local Minima
Yoshua Bengio
2014· book-chapter· en· Studies in computational intelligence· Social Sciences
distilled prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Explainability and Interpretability: Keys to Deep Medicine
Arash Shaban‐Nejad, Martin Michalowski, David L. Buckeridge
2020· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
32
citations
affno abstractunlabeled
Integrative Levels of Granularity
Yiyu Yao
2009· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
32
citations
affno abstractunlabeled
Writing Futures: Collaborative, Algorithmic, Autonomous
Ann Hill Duin, Isabel Pedersen
2021· book· en· Studies in computational intelligence· Arts and Humanities
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
26
citations
affno abstractunlabeled
Data Mining Methods for Modeling in Water Science
Seyedehelham Shirvani-Hosseini, Arvin Samadi-Koucheksaraee, Iman Ahmadianfar, Bahram Gharabaghi
2022· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
22
citations
affno abstractunlabeled
YouTube Scale, Large Vocabulary Video Annotation
Nicholas Morsillo, Gideon Mann, Christopher Pal
2010· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
21
citations
affno abstractunlabeled
Virtuous Distortion
John Woods, Alirio Rosales
2010· book-chapter· en· Studies in computational intelligence· Arts and Humanities
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
20
citations
affno abstractunlabeled
Forward Backward Transformation
Donald Davendra, Godfrey C. Onwubolu
2008· book-chapter· en· Studies in computational intelligence· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
20
citations
affno abstractunlabeled
Face Recognition with Discrete Orthogonal Moments
Fatima Akhmedova, Simon Liao
2018· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
18
citations
affno abstractunlabeled
Active Contour Model in Deep Learning Era: A Revise and Review
Ngan Le, Khoa Luu, Chi Nhan Duong, Kha Gia Quach, Thanh Dat Truong, Kyle Sadler +1 more
2020· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
17
citations
affno abstractunlabeled
When Do We Need Graph Neural Networks for Node Classification?
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2024· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
15
citations

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