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26651 |
The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective Enthalten in JOM Bd. 74, 24.1.2022, Nr. 2, date:2.2022: 414-428
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The power of AI in marketing: enhancing efficiency and improving customer perception through AI-generated storyboards Enthalten in International journal of information technology Bd. 16, 19.12.2023, Nr. 1, date:1.2024: 137-144
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The power of machine learning Enthalten in Nature physics Bd. 15, 2.12.2019, Nr. 12, date:12.2019: 1208
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The power of one clean qubit in supervised machine learning Enthalten in Scientific reports Bd. 13, 15.11.2023, Nr. 1, date:12.2023: 1-11
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The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy Enthalten in Cancer imaging Bd. 24, 7.2.2024, Nr. 1, date:12.2024: 1-12
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The Prediction-Explanation Fallacy: A Pervasive Problem in Scientific Applications of Machine Learning Enthalten in Methodology Bd. 20, 22.03.2024, Nr. 1
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The prediction of aquifer groundwater level based on spatial clustering approach using machine learning Enthalten in Environmental monitoring and assessment Bd. 193, 9.3.2021, Nr. 4, date:4.2021: 1-20
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The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models Enthalten in BMC medical informatics and decision making Bd. 21, 5.4.2021, Nr. 1, date:12.2021: 1-9
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The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model Enthalten in BMC medical informatics and decision making Bd. 23, 21.4.2023, Nr. 1, date:12.2023: 1-14
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The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models Enthalten in European journal of medical research Bd. 28, 18.1.2023, Nr. 1, date:12.2023: 1-13
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