Concepedia

Author

K. Müller

Technische Universität Berlin

Also Known As

Gabriel Curio, K -R Muller, K Müller, K R Müller, K. -R. Müller, K. MULLER, K. Muller, K. Müller, K. R. Müller, K. Robert Müller

254

Publications

23.4K

Citations

50

H-Index

219

Concepts

All Affiliations

Technische Universität BerlinUniversity of PotsdamKorea UniversityFraunhofer Institute for Production Systems and Design TechnologyCharité - Universitätsmedizin Berlin
KM

About

K. Müller is an author at Technische Universität Berlin specializing in engineering, data science, and neuroscience.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

28

43

9.7K

2

Medicine

13

13

2.5K

3

Health Sciences

8

8

665

4

Education

3

3

111

5

Management

1

1

245

K. Müller

×

87

Publications

20.3K

Citations

43

H-Index

YearCitations

An introduction to kernel-based learning algorithms

K. Müller, Gunnar Rätsch, Koji Tsuda,

IEEE Transactions on Neural Networks

2001

3.5K

SchNet – A deep learning architecture for molecules and materials

Kristof T. Schütt, Huziel E. Sauceda, Pieter-Jan Kindermans,

The Journal of Chemical Physics

2018

2.1K

Quantum-chemical insights from deep tensor neural networks

Kristof T. Schütt, Farhad Arbabzadah, Stefan Chmiela,

Nature Communications

2017

1.4K

Soft Margins for AdaBoost

Gunnar Rätsch, Takashi Onoda, K. Müller

Machine Learning

2001

1.3K

Input space versus feature space in kernel-based methods

Bernhard Schölkopf, Christopher J. C. Burges, Phil Knirsch,

IEEE Transactions on Neural Networks

1999

1.2K

The BCI competition III: validating alternative approaches to actual BCI problems

Benjamin Blankertz, K. Müller, Dean J. Krusienski,

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2006

904

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

Benjamin Blankertz, K. Müller, Gabriel Curio,

IEEE Transactions on Biomedical Engineering

2004

662

Spatio-spectral filters for improving the classification of single trial EEG

S. Lemm, Benjamin Blankertz, Gabriel Curio,

IEEE Transactions on Biomedical Engineering

2005

634

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

Guido Dornhege, Benjamin Blankertz, Gabriel Curio,

IEEE Transactions on Biomedical Engineering

2004

633

How to represent crystal structures for machine learning: Towards fast prediction of electronic properties

Kristof T. Schütt, Henning Glawe, Felix Brockherde,

Physical Review B

2014

480

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