Works matching IS 08856125 AND DT 2024 AND VI 113 AND IP 10
Results: 36
A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes.
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- Machine Learning, 2024, v. 113, n. 10, p. 8165, doi. 10.1007/s10994-024-06625-9
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- Article
Explaining outliers and anomalous groups via subspace density contrastive loss.
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- Machine Learning, 2024, v. 113, n. 10, p. 7565, doi. 10.1007/s10994-024-06618-8
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Persistent Laplacian-enhanced algorithm for scarcely labeled data classification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7267, doi. 10.1007/s10994-024-06616-w
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Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver.
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- Machine Learning, 2024, v. 113, n. 10, p. 7841, doi. 10.1007/s10994-024-06615-x
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Generalization of temporal logic tasks via future dependent options.
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- Machine Learning, 2024, v. 113, n. 10, p. 7509, doi. 10.1007/s10994-024-06614-y
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A cross-domain user association scheme based on graph attention networks with trajectory embedding.
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- Machine Learning, 2024, v. 113, n. 10, p. 7905, doi. 10.1007/s10994-024-06613-z
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On metafeatures' ability of implicit concept identification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7931, doi. 10.1007/s10994-024-06612-0
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In-game soccer outcome prediction with offline reinforcement learning.
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- Machine Learning, 2024, v. 113, n. 10, p. 7393, doi. 10.1007/s10994-024-06611-1
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Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees.
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- Machine Learning, 2024, v. 113, n. 10, p. 7541, doi. 10.1007/s10994-024-06608-w
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Self-organizing maps with adaptive distances for multiple dissimilarity matrices.
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- Machine Learning, 2024, v. 113, n. 10, p. 7783, doi. 10.1007/s10994-024-06607-x
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Weighting non-IID batches for out-of-distribution detection.
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- Machine Learning, 2024, v. 113, n. 10, p. 7371, doi. 10.1007/s10994-024-06605-z
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Deep negative correlation classification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7223, doi. 10.1007/s10994-024-06604-0
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- Article
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency.
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- Machine Learning, 2024, v. 113, n. 10, p. 7157, doi. 10.1007/s10994-024-06601-3
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Describing group evolution in temporal data using multi-faceted events.
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- Machine Learning, 2024, v. 113, n. 10, p. 7591, doi. 10.1007/s10994-024-06600-4
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- Article
Empirical Bayes linked matrix decomposition.
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- Machine Learning, 2024, v. 113, n. 10, p. 7451, doi. 10.1007/s10994-024-06599-8
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A class sensitivity feature guided T-type generative model for noisy label classification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7867, doi. 10.1007/s10994-024-06598-9
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A generic approach for reproducible model distillation.
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- Machine Learning, 2024, v. 113, n. 10, p. 7645, doi. 10.1007/s10994-024-06597-w
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Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks.
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- Machine Learning, 2024, v. 113, n. 10, p. 7807, doi. 10.1007/s10994-024-06596-x
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- Article
Extrapolation is not the same as interpolation.
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- Machine Learning, 2024, v. 113, n. 10, p. 8205, doi. 10.1007/s10994-024-06591-2
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- Article
Integration of multi-modal datasets to estimate human aging.
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- Machine Learning, 2024, v. 113, n. 10, p. 7293, doi. 10.1007/s10994-024-06588-x
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- Article
Evaluating large language models for user stance detection on X (Twitter).
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- Machine Learning, 2024, v. 113, n. 10, p. 7243, doi. 10.1007/s10994-024-06587-y
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Autoreplicative random forests with applications to missing value imputation.
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- Machine Learning, 2024, v. 113, n. 10, p. 7617, doi. 10.1007/s10994-024-06584-1
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Local neighborhood encodings for imbalanced data classification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7421, doi. 10.1007/s10994-024-06563-6
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Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning.
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- Machine Learning, 2024, v. 113, n. 10, p. 8027, doi. 10.1007/s10994-024-06562-7
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Permutation-invariant linear classifiers.
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- Machine Learning, 2024, v. 113, n. 10, p. 7195, doi. 10.1007/s10994-024-06561-8
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POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance.
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- Machine Learning, 2024, v. 113, n. 10, p. 7967, doi. 10.1007/s10994-024-06559-2
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A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting.
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- Machine Learning, 2024, v. 113, n. 10, p. 8233, doi. 10.1007/s10994-024-06558-3
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Understanding prediction discrepancies in classification.
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- Machine Learning, 2024, v. 113, n. 10, p. 7997, doi. 10.1007/s10994-024-06557-4
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Rule learning by modularity.
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- Machine Learning, 2024, v. 113, n. 10, p. 7479, doi. 10.1007/s10994-024-06556-5
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Neural calibration of hidden inhomogeneous Markov chains: information decompression in life insurance.
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- Machine Learning, 2024, v. 113, n. 10, p. 7129, doi. 10.1007/s10994-024-06551-w
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Explaining Siamese networks in few-shot learning.
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- Machine Learning, 2024, v. 113, n. 10, p. 7723, doi. 10.1007/s10994-024-06529-8
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From MNIST to ImageNet and back: benchmarking continual curriculum learning.
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- Machine Learning, 2024, v. 113, n. 10, p. 8137, doi. 10.1007/s10994-024-06524-z
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Semantic-enhanced graph neural networks with global context representation.
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- Machine Learning, 2024, v. 113, n. 10, p. 7761, doi. 10.1007/s10994-024-06523-0
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Probabilistic grammars for modeling dynamical systems from coarse, noisy, and partial data.
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- Machine Learning, 2024, v. 113, n. 10, p. 7689, doi. 10.1007/s10994-024-06522-1
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CoMadOut—a robust outlier detection algorithm based on CoMAD.
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- Machine Learning, 2024, v. 113, n. 10, p. 8061, doi. 10.1007/s10994-024-06521-2
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Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression.
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- Machine Learning, 2024, v. 113, n. 10, p. 7319, doi. 10.1007/s10994-024-06520-3
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