Daniel Probst
Orcid: 0000-0003-1737-4407
According to our database1,
Daniel Probst
authored at least 15 papers
between 1999 and 2024.
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Bibliography
2024
2023
An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification.
J. Cheminformatics, December, 2023
2022
Social and environmental impact of recent developments in machine learning on biology and chemistry research.
CoRR, 2022
2021
Nat. Mach. Intell., 2021
An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization.
CoRR, 2021
2020
J. Cheminformatics, 2020
J. Cheminformatics, 2020
2018
SmilesDrawer: Parsing and Drawing SMILES-Encoded Molecular Structures Using Client-Side JavaScript.
J. Chem. Inf. Model., 2018
J. Cheminformatics, 2018
FUn: a framework for interactive visualizations of large, high-dimensional datasets on the web.
Bioinform., 2018
2017
WebMolCS: A Web-Based Interface for Visualizing Molecules in Three-Dimensional Chemical Spaces.
J. Chem. Inf. Model., 2017
2007
An Early-Warning System to Support Activities in the Management of Customer Equity and How to Obtain the Most from Spatial Customer Equity Potentials.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
2004
1999