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Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice.

, , and . SDM, page 477-485. SIAM, (2016)

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Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy., , , and . MLSP, page 1-6. IEEE, (2011)T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling., , , and . CoRR, (2018)Scalable End-to-end Recurrent Neural Network for Variable star classification., , , , , and . CoRR, (2020)Solving Differential Equations Using Neural Network Solution Bundles, , and . (2020)cite arxiv:2006.14372Comment: 21 pages, 12 figures, 10 tables.Streaming Classification of Variable Stars., , and . CoRR, (2019)Physics-Informed Neural Networks for Quantum Eigenvalue Problems., , and . IJCNN, page 1-8. IEEE, (2022)Behavioral Malware Detection using a Language Model Classifier Trained on sys2vec Embeddings., , , and . HICSS, page 7582-7591. ScholarSpace, (2024)An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves., , , and . CoRR, (2019)DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks., , , and . CoRR, (2022)Shift-Invariant Grouped Multi-task Learning for Gaussian Processes., , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 418-434. Springer, (2010)