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Anton Schwaighofer

Showing results (1-10 of 12) with videos related to

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Omics : a Journal of Integrative Biology|July 23, 2004
Mining functional modules in genetic networks with decomposable graphical modelsMathäus Dejori, Anton Schwaighofer, Volker Tresp, et al.
Combinatorial Chemistry & High Throughput Screening|June 13, 2009
How wrong can we get? A review of machine learning approaches and error barsAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
Molecular Pharmaceutics|July 20, 2007
Machine learning models for lipophilicity and their domain of applicabilityTimon Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Computer-Aided Molecular Design|July 17, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery moleculesTimon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Chemmedchem|June 20, 2007
Predicting lipophilicity of drug-discovery molecules using Gaussian process modelsTimon S Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Computer-Aided Molecular Design|December 7, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery moleculesTimon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Chemical Information and Modeling|January 25, 2007
Accurate solubility prediction with error bars for electrolytes: a machine learning approachAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
Journal of Chemical Information and Modeling|March 11, 2008
A probabilistic approach to classifying metabolic stabilityAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
IEEE Transactions on Bio-Medical Engineering|April 3, 2003
Classification of rheumatoid joint inflammation based on laser imagingAnton Schwaighofer, Volker Tresp, Peter Mayer, et al.
Nature Communications|March 5, 2022
Active label cleaning for improved dataset quality under resource constraintsMélanie Bernhardt, Daniel C Castro, Ryutaro Tanno, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Omics : a Journal of Integrative Biology|July 23, 2004
Mining functional modules in genetic networks with decomposable graphical modelsMathäus Dejori, Anton Schwaighofer, Volker Tresp, et al.
Combinatorial Chemistry & High Throughput Screening|June 13, 2009
How wrong can we get? A review of machine learning approaches and error barsAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
Molecular Pharmaceutics|July 20, 2007
Machine learning models for lipophilicity and their domain of applicabilityTimon Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Computer-Aided Molecular Design|July 17, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery moleculesTimon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Chemmedchem|June 20, 2007
Predicting lipophilicity of drug-discovery molecules using Gaussian process modelsTimon S Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Computer-Aided Molecular Design|December 7, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery moleculesTimon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Chemical Information and Modeling|January 25, 2007
Accurate solubility prediction with error bars for electrolytes: a machine learning approachAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
Journal of Chemical Information and Modeling|March 11, 2008
A probabilistic approach to classifying metabolic stabilityAnton Schwaighofer, Timon Schroeter, Sebastian Mika, et al.
IEEE Transactions on Bio-Medical Engineering|April 3, 2003
Classification of rheumatoid joint inflammation based on laser imagingAnton Schwaighofer, Volker Tresp, Peter Mayer, et al.
Nature Communications|March 5, 2022
Active label cleaning for improved dataset quality under resource constraintsMélanie Bernhardt, Daniel C Castro, Ryutaro Tanno, et al.
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