Tobias Glasmachers - Concepedia

Author

Tobias Glasmachers

Ruhr University Bochum ORCID

Also Known As

Glasmachers Tobias, Glasmachers, Tobias, Jan Peters, TOBIAS GLASMACHERS, Tobias Glasmachers

144

Publications

2.1K

Citations

H-Index

Concepts

All Affiliations

Ruhr University Bochum University of Copenhagen Ruhr West University of Applied Sciences Dalle Molle Institute for Artificial Intelligence Research Universitätsklinikum Knappschaftskrankenhaus Bochum

About

Tobias Glasmachers is an author at Ruhr University Bochum specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	19	899
2	Natural Sciences	3	3	181
3	Medicine	2	2	75
4	Education	1	1	50
5	Health Sciences	1	1	10

Tobias Glasmachers

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Exponential natural evolution strategies Tobias Glasmachers, Tom Schaul, Yi Sun, Artificial IntelligenceNatural Evolution StrategiesDifferential EvolutionCovariance MatrixEngineering	2010	194
High dimensions and heavy tails for natural evolution strategies Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber Artificial IntelligenceNatural Evolution StrategiesEngineeringMachine LearningEvolutionary Algorithms	2011	138
Maximum-Gain Working Set Selection for SVMs Tobias Glasmachers, Christian Igel	2006	68
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer IEEE Transactions on Evolutionary Computation Artificial IntelligenceMathematical ProgrammingNumerical AnalysisCovariance MatrixEngineering	2018	64
A unified view on multi-class support vector classification Ürün Doǧan, Tobias Glasmachers, Christian Igel Research at the University of Copenhagen (University of Copenhagen) EngineeringMachine LearningSupport Vector MachineClassification MethodImage Analysis	2016	63
Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations Denise Reimann, Kapil Nidadavolu, Hamad ul Hassan, Frontiers in Materials Micromechanical SimulationsEngineeringMultiscale MechanicsMicromechanicsMachine Learning Algorithms	2019	63
SpikeDeeptector: a deep-learning based method for detection of neural spiking activity Muhammad Saif-ur-Rehman, Robin Lienkämper, Yaroslav Parpaley, Journal of Neural Engineering	2019	61
Gradient-Based Adaptation of General Gaussian Kernels Tobias Glasmachers, Christian Igel Neural Computation EngineeringMachine LearningGaussian Kernel FunctionsSupport Vector MachineImage Analysis	2005	58
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection Christian Igel, Tobias Glasmachers, Britta Mersch, IEEE/ACM Transactions on Computational Biology and Bioinformatics EngineeringSequence AlignmentKernel FunctionGene RecognitionBacterial Pathogens	2007	51
Limits of End-to-End Learning Tobias Glasmachers arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi FoundationEducation	2017	50

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