MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Journal of Computational Vision and Imaging Systems
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

116 results · 1 filter active ·
Results by year
20152021
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
116 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 116 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 116 of 116 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundvenueno affunlabeled
Non-invasive Glucose Monitoring at mm-Wave Frequencies
Ala Eldin Omer, George Shaker, Safieddin Safavi‐Naeini
2018· article· en· Journal of Computational Vision and Imaging Systems· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
7
citations
affvenueunlabeled
Scaled Monocular Visual SLAM
Georges Younes, Daniel Asmar, John Zelek, David Abou Chacra, Henry A. Leopold, Jeremy Pinto +1 more
2016· article· en· Journal of Computational Vision and Imaging Systems· Engineering
distilled prediction:candidate · noneconsensus · none
7
citations
affvenueunlabeled
Challenges of Deep Learning-based Text Detection in the Wild
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell, John Zelek
2021· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
afffundvenueunlabeled
Time-Series Causality with Missing Data
Bo Chang, Mohamed A. Naiel, Steven Wardell, Stan Kleinikkink, John Zelek
2021· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
afffundvenueunlabeled
Deep Residual Transform for Multi-scale Image Decomposition
Yuhao Chen, Alexander Wong, Yuan Fang, Yifan Wu, Linlin Xu
2021· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Frame Augmentation for Imbalanced Object Detection Datasets
Nada Hesham Kamaledin Elasal, David M. Swart, Nicholas Miller
2018· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Text Enhancement in Projected Imagery
Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, Paul Fieguth
2018· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Understanding BatchNorm in Ternary Training
Eyyüb Sari, Vahid Partovi Nia
2019· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Deep Learning Inference Frameworks for ARM CPU
Vanessa Courville, Vahid Partovi Nia
2019· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Automated Failure Detection in Computer Vision Systems
Haoxin Yan, Andrew Achkar, Akshaya Mishra, K. Jairam Naik
2016· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundvenueunlabeled
Impact of Training Images on Radiometric Compensation
Vignesh Sankar, Ahmed Gawish, Paul Fieguth
2017· article· en· Journal of Computational Vision and Imaging Systems· Earth and Planetary Sciences
distilled prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About