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27001 |
Selection of safe artemisinin derivatives using a machine learning-based cardiotoxicity platform and in vitro and in vivo validation
Enthalten in Archives of toxicology Bd. 95, 22.5.2021, Nr. 7, date:7.2021: 2485-2495
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27002 |
Selection of subjects for clinical trials in Alzheimer’s disease and mild cognitive impairment with machine learning analysis of MRI and CSF biomarkers
Enthalten in Trials Bd. 12, 13.12.2011, Nr. 1, date:12.2011: 1-2
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27003 |
Selection of Sustainable Process and Essential Indicators for Decision Making Using Machine Learning Algorithms
Enthalten in Process integration and optimization for sustainability Bd. 1, 6.7.2017, Nr. 2, date:7.2017: 153-163
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27004 |
Selection of the best machine learning method for estimation of concentration of different water quality parameters
Enthalten in Sustainable Water Resources Management Bd. 8, 9.10.2022, Nr. 6, date:12.2022: 1-15
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27005 |
Selective diagnostics of Amyotrophic Lateral Sclerosis, Alzheimer’s and Parkinson’s Diseases with machine learning and miRNA
Enthalten in Metabolic brain disease Bd. 40, 2.1.2025, Nr. 1, date:1.2025: 1-11
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27006 |
Self-adaptive algorithms for quasiconvex programming and applications to machine learning
Enthalten in Computational and applied mathematics Bd. 43, 19.5.2024, Nr. 4, date:6.2024: 1-16
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27007 |
Self-Control and Beliefs Surrounding Others’ Cooperation Predict Own Health-Protective Behaviors and Support for COVID-19 Government Regulations: Evidence From Two European Countries
Enthalten in Social psychological bulletin Bd. 16, 30.03.2021, Nr. 1
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27008 |
Self explainable graph convolutional recurrent network for spatio-temporal forecasting
Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-31
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27009 |
Self-healing hybrid intrusion detection system: an ensemble machine learning approach
Enthalten in Discover artificial intelligence Bd. 4, 16.4.2024, Nr. 1, date:12.2024: 1-20
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27010 |
Self-organizing maps with adaptive distances for multiple dissimilarity matrices
Enthalten in Machine learning Bd. 113, 3.9.2024, Nr. 10, date:10.2024: 7783-7806
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Administration
