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27051 |
Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil Enthalten in Environmental monitoring and assessment Bd. 197, 22.3.2025, Nr. 4, date:4.2025: 1-22
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27052 |
Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians Enthalten in Journal of neurology Bd. 272, 5.3.2025, Nr. 3, date:3.2025: 1-11
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27053 |
Seq-ing improved gene expression estimates from microarrays using machine learning Enthalten in BMC bioinformatics Bd. 16, 4.9.2015, Nr. 1, date:12.2015: 1-11
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27054 |
seqQscorer: automated quality control of next-generation sequencing data using machine learning Enthalten in Genome biology Bd. 22, 5.3.2021, Nr. 1, date:12.2021: 1-20
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27055 |
Sequence-Order Frequency Matrix–Sampling and Machine Learning with Smith–Waterman (SOFM–SMSW) for Protein Remote Homology Detection Enthalten in Wireless personal communications Bd. 138, 10.10.2024, Nr. 4, date:10.2024: 2637-2656
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27056 |
SequenceCraft: machine learning-based resource for exploratory analysis of RNA-cleaving deoxyribozymes Enthalten in BMC bioinformatics Bd. 26, 6.1.2025, Nr. 1, date:12.2025: 1-18
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27057 |
Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease Enthalten in SN Computer Science Bd. 1, 16.10.2020, Nr. 6, date:11.2020: 1-16
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27058 |
SERS-based lateral flow assay combined with machine learning for highly sensitive quantitative analysis of Escherichia coli O157:H7 Enthalten in Analytical and bioanalytical chemistry Bd. 412, 12.9.2020, Nr. 28, date:11.2020: 7881-7890
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27059 |
Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow Enthalten in Scientific reports Bd. 14, 19.4.2024, Nr. 1, date:12.2024: 1-11
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27060 |
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting Enthalten in Machine learning Bd. 112, 13.3.2023, Nr. 7, date:7.2023: 2555-2591
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