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1041 |
Identification of infectious disease-associated host genes using machine learning techniques Enthalten in BMC bioinformatics Bd. 20, 27.12.2019, Nr. 1, date:12.2019: 1-12
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1042 |
Identification of tqg flavor-changing neutral current interactions using machine learning techniques Enthalten in Han'guk-Mulli-Hakhoe: Journal of the Korean Physical Society Bd. 86, 6.1.2025, Nr. 4, date:2.2025: 269-279
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1043 |
Identifying comparative opinions in Arabic text in social media using machine learning techniques Enthalten in SN applied sciences Bd. 1, 4.2.2019, Nr. 3, date:3.2019: 1-13
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1044 |
Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individuals Enthalten in Discover public health Bd. 21, 7.11.2024, Nr. 1, date:12.2024: 1-17
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1045 |
Identifying the candidate genes using co-expression, GO, and machine learning techniques for Alzheimer’s disease Enthalten in Network modeling analysis in health informatics and bioinformatics Bd. 11, 4.2.2022, Nr. 1, date:12.2022: 1-12
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1046 |
Identifying the most important workplace factors in predicting nurse mental health using machine learning techniques Enthalten in BMC nursing Bd. 20, 1.11.2021, Nr. 1, date:12.2021: 1-10
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1047 |
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records Enthalten in BMC medical informatics and decision making Bd. 22, 17.10.2022, Nr. 1, date:12.2022: 1-20
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1048 |
Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques Enthalten in The European physical journal / A / Hadrons and nuclei Bd. 57, 17.6.2021, Nr. 6, date:6.2021: 1-17
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1049 |
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study Enthalten in Knowledge and information systems Bd. 65, 9.11.2022, Nr. 1, date:1.2023: 31-57
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1050 |
Immediate word recall in cognitive assessment can predict dementia using machine learning techniques Enthalten in Alzheimer's research & therapy Bd. 15, 15.6.2023, Nr. 1, date:12.2023: 1-14
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