Nikolas Fechner

Orcid: 0000-0003-3852-3950

According to our database1, Nikolas Fechner authored at least 19 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
PREFER: A New Predictive Modeling Framework for Molecular Discovery.
J. Chem. Inf. Model., August, 2023

2022
25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution.
J. Chem. Inf. Model., 2022

2020
Automated Identification of Chemical Series: Classifying like a Medicinal Chemist.
J. Chem. Inf. Model., 2020

2017
Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.
J. Chem. Inf. Model., August, 2017

2013
Heterogeneous Classifier Fusion for Ligand-Based Virtual Screening: Or, How Decision Making by Committee Can Be a Good Thing.
J. Chem. Inf. Model., 2013

ChEMBLSpace - a graphical explorer of the chemogenomic space covered by the ChEMBL database.
Bioinform., 2013

2011
Structured Kernel-based Machine Learning for Cheminformatics.
PhD thesis, 2011

Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics.
J. Chem. Inf. Model., 2011

jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints.
J. Cheminformatics, 2011

Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010
Automatic pharmacophore model generation using weighted substructure assignments.
J. Cheminformatics, 2010

Efficient extraction of canonical spatial relationships using a recursive enumeration of k-subsets.
J. Cheminformatics, 2010

Estimation of the applicability domain of kernel-based machine learning models for virtual screening.
J. Cheminformatics, 2010

Kernel-based estimation of the applicability domain of QSAR models.
J. Cheminformatics, 2010

Graph kernels for chemical compounds using topological and three-dimensional local atom pair environments.
Neurocomputing, 2010

2009
Atomic Local Neighborhood Flexibility Incorporation into a Structured Similarity Measure for QSAR.
J. Chem. Inf. Model., 2009

Optimal assignment methods for ligand-based virtual screening.
J. Cheminformatics, 2009

Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines.
Proceedings of the Evolutionary Computation, 2009

2007
Comparison of Different Approaches to Vibration-based Terrain Classification.
Proceedings of the 3rd European Conference on Mobile Robots, 2007


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