Works matching IS 08856125 AND DT 2024 AND VI 113 AND IP 7
Results: 34
Classification with costly features in hierarchical deep sets.
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- Machine Learning, 2024, v. 113, n. 7, p. 4487, doi. 10.1007/s10994-024-06565-4
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- Article
Correction: Learning sample-aware threshold for semi-supervised learning.
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- 2024
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- Correction Notice
Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach.
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- Machine Learning, 2024, v. 113, n. 7, p. 4579, doi. 10.1007/s10994-024-06538-7
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- Article
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning.
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- Machine Learning, 2024, v. 113, n. 7, p. 4315, doi. 10.1007/s10994-024-06537-8
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- Article
Generalization bounds for learning under graph-dependence: a survey.
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- Machine Learning, 2024, v. 113, n. 7, p. 3929, doi. 10.1007/s10994-024-06536-9
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- Article
Exposing and explaining fake news on-the-fly.
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- Machine Learning, 2024, v. 113, n. 7, p. 4615, doi. 10.1007/s10994-024-06527-w
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- Article
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling.
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- Machine Learning, 2024, v. 113, n. 7, p. 3961, doi. 10.1007/s10994-024-06526-x
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- Article
Utilizing reinforcement learning for de novo drug design.
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- Machine Learning, 2024, v. 113, n. 7, p. 4811, doi. 10.1007/s10994-024-06519-w
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- Article
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning.
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- Machine Learning, 2024, v. 113, n. 7, p. 3999, doi. 10.1007/s10994-023-06512-9
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- Article
An encoding approach for stable change point detection.
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- Machine Learning, 2024, v. 113, n. 7, p. 4133, doi. 10.1007/s10994-023-06510-x
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- Article
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?
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- Machine Learning, 2024, v. 113, n. 7, p. 4285, doi. 10.1007/s10994-023-06506-7
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- Article
Glacier: guided locally constrained counterfactual explanations for time series classification.
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- Machine Learning, 2024, v. 113, n. 7, p. 4639, doi. 10.1007/s10994-023-06502-x
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- Article
Distributed and explainable GHSOM for anomaly detection in sensor networks.
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- Machine Learning, 2024, v. 113, n. 7, p. 4445, doi. 10.1007/s10994-023-06501-y
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- Article
On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects.
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- Machine Learning, 2024, v. 113, n. 7, p. 4013, doi. 10.1007/s10994-023-06498-4
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- Article
DynamiSE: dynamic signed network embedding for link prediction.
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- Machine Learning, 2024, v. 113, n. 7, p. 4037, doi. 10.1007/s10994-023-06473-z
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- Article
Hybrid approaches to optimization and machine learning methods: a systematic literature review.
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- Machine Learning, 2024, v. 113, n. 7, p. 4055, doi. 10.1007/s10994-023-06467-x
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- Article
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network.
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- Machine Learning, 2024, v. 113, n. 7, p. 4099, doi. 10.1007/s10994-023-06453-3
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- Article
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams.
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- Machine Learning, 2024, v. 113, n. 7, p. 4671, doi. 10.1007/s10994-023-06420-y
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- Article
Composite score for anomaly detection in imbalanced real-world industrial dataset.
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- Machine Learning, 2024, v. 113, n. 7, p. 4381, doi. 10.1007/s10994-023-06415-9
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- Article
Cost-sensitive sparse group online learning for imbalanced data streams.
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- Machine Learning, 2024, v. 113, n. 7, p. 4407, doi. 10.1007/s10994-023-06403-z
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- Article
Understanding transfer learning and gradient-based meta-learning techniques.
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- Machine Learning, 2024, v. 113, n. 7, p. 4113, doi. 10.1007/s10994-023-06387-w
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- Article
Persian offensive language detection.
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- Machine Learning, 2024, v. 113, n. 7, p. 4359, doi. 10.1007/s10994-023-06370-5
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- Article
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks.
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- Machine Learning, 2024, v. 113, n. 7, p. 4925, doi. 10.1007/s10994-023-06359-0
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- Article
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework.
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- Machine Learning, 2024, v. 113, n. 7, p. 4165, doi. 10.1007/s10994-023-06353-6
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- Article
Understanding CNN fragility when learning with imbalanced data.
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- Machine Learning, 2024, v. 113, n. 7, p. 4785, doi. 10.1007/s10994-023-06326-9
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- Article
Hellinger distance decision trees for PU learning in imbalanced data sets.
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- Machine Learning, 2024, v. 113, n. 7, p. 4547, doi. 10.1007/s10994-023-06323-y
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- Article
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning.
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- Machine Learning, 2024, v. 113, n. 7, p. 4903, doi. 10.1007/s10994-022-06296-4
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- Article
The class imbalance problem in deep learning.
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- Machine Learning, 2024, v. 113, n. 7, p. 4845, doi. 10.1007/s10994-022-06268-8
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- Article
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data.
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- Machine Learning, 2024, v. 113, n. 7, p. 4761, doi. 10.1007/s10994-021-06095-3
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- Article
Coefficient tree regression: fast, accurate and interpretable predictive modeling.
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- Machine Learning, 2024, v. 113, n. 7, p. 4723, doi. 10.1007/s10994-021-06091-7
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- Article
Special issue on feature engineering editorial.
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- Machine Learning, 2024, v. 113, n. 7, p. 3917, doi. 10.1007/s10994-021-06042-2
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- Article
Can metafeatures help improve explanations of prediction models when using behavioral and textual data?
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- Machine Learning, 2024, v. 113, n. 7, p. 4245, doi. 10.1007/s10994-021-05981-0
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- Article
VEST: automatic feature engineering for forecasting.
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- Machine Learning, 2024, v. 113, n. 7, p. 4523, doi. 10.1007/s10994-021-05959-y
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- Article
New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction.
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- Machine Learning, 2024, v. 113, n. 7, p. 3889, doi. 10.1007/s10994-020-05937-w
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- Publication type:
- Article