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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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Time Series Analysis and Forecasting
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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.

560 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.
560 works in the cohort · of 4,299,418page 1 of 12

Labels cover 0 of 560 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 560 of 560 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
Tslearn, A Machine Learning Toolkit for Time Series Data
Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz +5 more
2020· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
422
citations
affunlabeled
MLaaS: Machine Learning as a Service
Mauro C. C. Ribeiro, Katarina Grolinger, Miriam A. M. Capretz
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
383
citations
affunlabeled
LSTM-Based Analysis of Industrial IoT Equipment
Weishan Zhang, Wuwu Guo, Xin Liu, Yan Liu, Jiehan Zhou, Bo Li +2 more
2018· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
134
citations
affunlabeled
Similarity Analysis of Industrial Alarm Flood Data
Kabir Ahmed, Iman Izadi, Tongwen Chen, D.G.J.T. Tjin Wong Joe, Tim Burton
2013· article· en· IEEE Transactions on Automation Science and Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
127
citations
afffundno abstractunlabeled
Early classification on time series
Zhengzheng Xing, Jian Pei, Philip S. Yu
2011· article· en· Knowledge and Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
Multiple Alignment of Continuous Time Series
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
122
citations
affno abstractunlabeled
KmL3D: A non-parametric algorithm for clustering joint trajectories
Christophe Genolini, Jean‐Baptiste Pingault, Tarak Driss, Sylvana M. Côté, Richard E. Tremblay, Frank Vitaro +2 more
2012· article· en· Computer Methods and Programs in Biomedicine· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations
affno abstractunlabeled
Trend filtering via empirical mode decompositions
Azadeh Moghtaderi, Patrick Flandrin, Pierre Borgnat
2011· article· en· Computational Statistics & Data Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
Smart Meter Data Analytics
Xiufeng Liu, Lukasz Golab, Wojciech Golab, Ihab F. Ilyas, Shichao Jin
2016· article· en· ACM Transactions on Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
67
citations
affno abstractunlabeled
Self-Supervised Chinese Word Segmentation
Fuchun Peng, Dale Schuurmans
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Automatic approaches for seismic to well tying
Roberto Henry Herrera, Sergey Fomel, Mirko van der Baan
2014· article· en· Interpretation· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Arbitrage of forecasting experts
Vítor Cerqueira, Luı́s Torgo, Fábio Pinto, Carlos Soares
2018· article· en· Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
GPS interactive time series analysis software
Mohammad Ali Goudarzi, Marc Cocard, Rock Santerre, T. Woldai
2012· article· en· GPS Solutions· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations

How this was built: Screen · Findings · About