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161 |
Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values
Enthalten in Molecular informatics Bd. 44, 2025, Nr. 3. 15 S.
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162 |
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models
Enthalten in Molecular informatics Bd. 44, 2025, Nr. 3. 22 S.
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163 |
Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model
Enthalten in Molecular informatics Bd. 44, 2025, Nr. 1. 9 S.
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164 |
Simple User‐Friendly Reaction Format
Enthalten in Molecular informatics Bd. 44, 2025, Nr. 1. 8 S.
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165 |
Machine learning applications for thermochemical and kinetic property prediction
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 419-449. 031 S.
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166 |
Accelerating process control and optimization via machine learning: a review
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 401-418. 018 S.
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167 |
A tutorial review of machine learning-based model predictive control methods
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 359-400. 042 S.
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168 |
Uncertainty quantification and propagation in atomistic machine learning
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 333-357. 025 S.
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169 |
Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 311-331. 021 S.
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170 |
Recent developments and prospects of machine learning in chemical engineering
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 309-310. 02 S.
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