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16031 |
Structural causal models reveal confounder bias in linear program modelling
Enthalten in Machine learning Bd. 113, 9.1.2024, Nr. 3, date:3.2024: 1329-1349
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16032 |
Structural changes during glass formation extracted by computational homology with machine learning
Enthalten in Communications materials Bd. 1, 4.12.2020, Nr. 1, date:12.2020: 1-8
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16033 |
Structural degeneracy and formation of crystallographic domains in epitaxial LaFeO3 films revealed by machine-learning assisted 4D-STEM
Enthalten in Scientific reports Bd. 14, 20.2.2024, Nr. 1, date:12.2024: 1-10
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16034 |
Structure-aware machine learning strategies for antimicrobial peptide discovery
Enthalten in Scientific reports Bd. 14, 25.5.2024, Nr. 1, date:12.2024: 1-16
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16035 |
Structure-based prediction of BRAF mutation classes using machine-learning approaches
Enthalten in Scientific reports Bd. 12, 22.7.2022, Nr. 1, date:12.2022: 1-8
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16036 |
Student dropout prediction through machine learning optimization: insights from moodle log data
Enthalten in Scientific reports Bd. 15, 21.3.2025, Nr. 1, date:12.2025: 1-16
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16037 |
Students’ performance dataset for using machine learning technique in physics education research
Enthalten in Scientific data Bd. 12, 12.6.2025, Nr. 1, date:12.2025: 1-11
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16038 |
Study of an effective machine learning-integrated science curriculum for high school youth in an informal learning setting
Enthalten in International journal of STEM education Bd. 12, 19.4.2025, Nr. 1, date:12.2025: 1-25
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16039 |
Study of flexural strength of concrete containing mineral admixtures based on machine learning
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-15
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16040 |
Study of Global Photospheric and Chromospheric Flows Using Local Correlation Tracking and Machine Learning Methods I: Methodology and Uncertainty Estimates
Enthalten in Solar physics Bd. 298, 16.5.2023, Nr. 5, date:5.2023: 1-16
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