Markus Lange-Hegermann

Orcid: 0000-0002-5327-4529

Affiliations:
  • OWL University of Applied Sciences and Arts, Germany


According to our database1, Markus Lange-Hegermann authored at least 32 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline.
CoRR, 2024

Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes.
CoRR, 2024

PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning.
CoRR, 2024

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes.
CoRR, 2024

Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection.
CoRR, 2024

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders.
CoRR, 2023

An Image Retrieval Pipeline in a Medical Data Integration Center.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients.
Proceedings of the International Conference on Machine Learning, 2023

2022
An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties.
Math. Comput., 2022

"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method.
CoRR, 2022

PGNAA Spectral Classification of Metal with Density Estimations.
CoRR, 2022

Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.
CoRR, 2022

Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Boundary Conditions Parametrized by Analytic Functions.
Proceedings of the Computer Algebra in Scientific Computing - 24th International Workshop, 2022

2021
Singularities of algebraic differential equations.
Adv. Appl. Math., 2021

On Kernel Search Based Gaussian Process Anomaly Detection.
Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2021

Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Linearly Constrained Gaussian Processes with Boundary Conditions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.
Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, 2020

2019
The MAPLE package TDDS for computing Thomas decompositions of systems of nonlinear PDEs.
Comput. Phys. Commun., 2019

Priors for Linear Differential Equations.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018
The Differential Counting Polynomial.
Found. Comput. Math., 2018

Algorithmic Linearly Constrained Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
Counting solutions of differential equations.
ACM Commun. Comput. Algebra, 2015

2014
The Differential Dimension Polynomial for Characterizable Differential Ideals.
CoRR, 2014

Characterizing Serre Quotients with no Section Functor and Applications to Coherent Sheaves.
Appl. Categorical Struct., 2014

2012
Algorithmic Thomas decomposition of algebraic and differential systems.
J. Symb. Comput., 2012

2010
LocalizeRingForHomalg: localize commutative rings at maximal ideals.
ACM Commun. Comput. Algebra, 2010

Thomas decomposition and its applications.
ACM Commun. Comput. Algebra, 2010

Thomas Decomposition of Algebraic and Differential Systems.
Proceedings of the Computer Algebra in Scientific Computing - 12th International Workshop, 2010


  Loading...