Works matching IS 13845810 AND DT 2020 AND VI 34 AND IP 6
Results: 12
Bayesian mean-parameterized nonnegative binary matrix factorization.
- Published in:
- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1898, doi. 10.1007/s10618-020-00712-w
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- Article
DeepTable: a permutation invariant neural network for table orientation classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1963, doi. 10.1007/s10618-020-00711-x
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- Article
InceptionTime: Finding AlexNet for time series classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1936, doi. 10.1007/s10618-020-00710-y
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- Article
Correction to: A unified view of density-based methods for semi-supervised clustering and classification.
- Published in:
- 2020
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- Publication type:
- Correction Notice
MIDIA: exploring denoising autoencoders for missing data imputation.
- Published in:
- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1859, doi. 10.1007/s10618-020-00706-8
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- Article
Introducing time series snippets: a new primitive for summarizing long time series.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1713, doi. 10.1007/s10618-020-00702-y
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- Article
Visualizing image content to explain novel image discovery.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1777, doi. 10.1007/s10618-020-00700-0
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- Article
Credible seed identification for large-scale structural network alignment.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1744, doi. 10.1007/s10618-020-00699-4
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- Article
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1642, doi. 10.1007/s10618-020-00697-6
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- Article
ColluEagle: collusive review spammer detection using Markov random fields.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1621, doi. 10.1007/s10618-020-00693-w
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- Article
Gaussian bandwidth selection for manifold learning and classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1676, doi. 10.1007/s10618-020-00692-x
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- Publication type:
- Article
Challenges in benchmarking stream learning algorithms with real-world data.
- Published in:
- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1805, doi. 10.1007/s10618-020-00698-5
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- Publication type:
- Article