Works matching IS 08856125 AND DT 2023 AND VI 112 AND IP 10
Results: 15
Learning domain invariant representations of heterogeneous image data.
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- Machine Learning, 2023, v. 112, n. 10, p. 3659, doi. 10.1007/s10994-023-06374-1
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- Article
Spike2CGR: an efficient method for spike sequence classification using chaos game representation.
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- Machine Learning, 2023, v. 112, n. 10, p. 3633, doi. 10.1007/s10994-023-06371-4
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- Article
A hybrid ensemble method with negative correlation learning for regression.
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- Machine Learning, 2023, v. 112, n. 10, p. 3881, doi. 10.1007/s10994-023-06364-3
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- Article
Learning logic programs by explaining their failures.
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- Machine Learning, 2023, v. 112, n. 10, p. 3917, doi. 10.1007/s10994-023-06358-1
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- Article
Explanatory machine learning for sequential human teaching.
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- Machine Learning, 2023, v. 112, n. 10, p. 3591, doi. 10.1007/s10994-023-06351-8
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Heuristic search of optimal machine teaching curricula.
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- Machine Learning, 2023, v. 112, n. 10, p. 4049, doi. 10.1007/s10994-023-06347-4
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A moment-matching metric for latent variable generative models.
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- Machine Learning, 2023, v. 112, n. 10, p. 3749, doi. 10.1007/s10994-023-06340-x
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- Article
Tensor completion with noisy side information.
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- Machine Learning, 2023, v. 112, n. 10, p. 3945, doi. 10.1007/s10994-023-06338-5
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LADDER: Latent boundary-guided adversarial training.
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- Machine Learning, 2023, v. 112, n. 10, p. 3851, doi. 10.1007/s10994-022-06203-x
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- Article
Adversarial concept drift detection under poisoning attacks for robust data stream mining.
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- Machine Learning, 2023, v. 112, n. 10, p. 4013, doi. 10.1007/s10994-022-06177-w
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Scenic: a language for scenario specification and data generation.
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- Machine Learning, 2023, v. 112, n. 10, p. 3805, doi. 10.1007/s10994-021-06120-5
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Global optimization of objective functions represented by ReLU networks.
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- Machine Learning, 2023, v. 112, n. 10, p. 3685, doi. 10.1007/s10994-021-06050-2
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Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics.
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- Machine Learning, 2023, v. 112, n. 10, p. 3713, doi. 10.1007/s10994-021-06019-1
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- Article
Byzantine-robust distributed sparse learning for M-estimation.
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- Machine Learning, 2023, v. 112, n. 10, p. 3773, doi. 10.1007/s10994-021-06001-x
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- Article
Metrics and methods for robustness evaluation of neural networks with generative models.
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- Machine Learning, 2023, v. 112, n. 10, p. 3977, doi. 10.1007/s10994-021-05994-9
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- Article