Katja Hansen - Concepedia

Concepedia

Author

Katja Hansen

Technische Universität Berlin

Also Known As

Hansen, Katja, K Hansen, Katja Hansen

23

Publications

4.5K

Citations

16

H-Index

57

Concepts

All Affiliations

Technische Universität Berlin Korea University ETH Zurich Fritz Haber Institute of the Max Planck Society Argonne National Laboratory

KH

About

Katja Hansen is an author at Technische Universität Berlin specializing in engineering, data science, and natural sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	2.9K
2	Natural Sciences	5	5	1.7K
3	Medicine	4	4	477
4	Management	1	1	760
5	Behavioral Sciences	1	1	760

Katja Hansen

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17

Publications

4.5K

Citations

16

H-Index

	Year	Citations
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space Katja Hansen, Franziska Biegler, Raghunathan Ramakrishnan, The Journal of Physical Chemistry Letters EngineeringComputational ChemistryChemistryMolecular DynamicsMolecular Design	2015	832
How to Explain Individual Classification Decisions David Baehrens, Timon Schroeter, Stefan Harmeling, ArXiv.org Artificial IntelligenceEngineeringMachine LearningBehavioral Decision MakingDecision Analysis	2009	760
Finding Density Functionals with Machine Learning John Snyder, Matthias Rupp, Katja Hansen, Physical Review Letters	2012	651
Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies Katja Hansen, Grégoire Montavon, Franziska Biegler, Journal of Chemical Theory and Computation EngineeringMachine LearningMachine Learning ToolComputational ChemistryChemistry	2013	631
Machine learning of molecular electronic properties in chemical compound space Grégoire Montavon, Matthias Rupp, Vivekanand V. Gobre, Repository for Publications and Research Data (ETH Zurich)	2013	391
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity Katja Hansen, Sebastian Mika, Timon Schroeter, Journal of Chemical Information and Modeling EngineeringHit IdentificationGeneticsGenomicsData Science	2009	350
Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set Iurii Sushko, Sergii Novotarskyi, Robert Körner, Journal of Chemical Information and Modeling	2010	250
Orbital-free bond breaking via machine learning John Snyder, Matthias Rupp, Katja Hansen, The Journal of Chemical Physics	2013	135
Optimizing transition states via kernel-based machine learning Zachary D. Pozun, Katja Hansen, Daniel Sheppard, The Journal of Chemical Physics EngineeringMachine LearningComputational ChemistryChemistryEnergy Minimization	2012	110
Learning Invariant Representations of Molecules for Atomization Energy Prediction Grégoire Montavon, Katja Hansen, Siamac Fazli, EngineeringMachine LearningData ScienceInvariant RepresentationsNatural Sciences	2012	95

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