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15901 - 15910 von 16964

	15901	Scalable individual treatment effect estimator for large graphs Enthalten in Machine learning Bd. 114, 16.1.2025, Nr. 1, date:1.2025: 1-19
	15902	Scalable interpolation of satellite altimetry data with probabilistic machine learning Enthalten in Nature Communications Bd. 15, 28.8.2024, Nr. 1, date:12.2024: 1-11
	15903	Scalable machine learning approach to light induced order disorder phase transitions with ab initio accuracy Enthalten in npj computational materials Bd. 11, 26.5.2025, Nr. 1, date:12.2025: 1-13
	15904	Scalable transcriptomics analysis with Dask: applications in data science and machine learning Enthalten in BMC bioinformatics Bd. 23, 30.11.2022, Nr. 1, date:12.2022: 1-20
	15905	Scale-preserving automatic concept extraction (SPACE) Enthalten in Machine learning Bd. 112, 21.8.2023, Nr. 11, date:11.2023: 4495-4525
	15906	Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy Enthalten in Scientific reports Bd. 15, 5.4.2025, Nr. 1, date:12.2025: 1-14
	15907	Scaling the weight parameters in Markov logic networks and relational logistic regression models Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-28
	15908	Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena Enthalten in Minds and machines Bd. 34, 15.7.2024, Nr. 3, date:9.2024: 1-39
	15909	Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next Enthalten in Journal of scientific computing Bd. 92, 26.7.2022, Nr. 3, date:9.2022: 1-62
	15910	SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions Enthalten in BMC bioinformatics Bd. 22, 8.7.2021, Nr. 1, date:12.2021: 1-17

15901 - 15910 von 16964

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