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11311 |
Recognising small colour changes with unsupervised learning, comparison of methods
Enthalten in Advances in computational intelligence Bd. 4, 16.4.2024, Nr. 2, date:6.2024: 1-13
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11312 |
Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models
Enthalten in Scientific reports Bd. 9, 10.5.2019, Nr. 1, date:12.2019: 1-16
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11313 |
Recognizing lines of code violating company-specific coding guidelines using machine learning
Enthalten in Empirical software engineering Bd. 25, 14.11.2019, Nr. 1, date:1.2020: 220-265
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11314 |
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
Enthalten in npj digital medicine Bd. 6, 6.9.2023, Nr. 1, date:12.2023: 1-6
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11315 |
Reconstructing dance movements using a mathematical model based on optimized nature-inspired machine learning
Enthalten in Artificial intelligence review Bd. 58, 26.2.2025, Nr. 5, date:5.2025: 1-27
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11316 |
Reconstructing Earth’s atmospheric oxygenation history using machine learning
Enthalten in Nature Communications Bd. 13, 4.10.2022, Nr. 1, date:12.2022: 1-13
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11317 |
Reconstructing S-matrix Phases with Machine Learning
Enthalten in Journal of high energy physics Bd. 2024, 16.5.2024, Nr. 5, date:5.2024: 1-45
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11318 |
Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size
Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-18
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11319 |
Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning
Enthalten in Nature Communications Bd. 9, 7.9.2018, Nr. 1, date:12.2018: 1-9
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11320 |
REFINEMENT OF CROPLAND DATA LAYER USING MACHINE LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W11, 2020: 161-164
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Administration
