Daniel Lückehe

Orcid: 0000-0001-9550-9421

Affiliations:
  • University of Hanover, Germany


According to our database1, Daniel Lückehe authored at least 15 papers between 2014 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.
Int. J. Comput. Assist. Radiol. Surg., 2020

2018
Evolutionary image simplification for lung nodule classification with convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2018

Multi-Stage Deep Learning for Context-Free Handwriting Recognition.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Evolutionary Structure Minimization of Deep Neural Networks for Motion Sensor Data.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

2017
Analysis of Sound Localization Data Generated by the Extended Mainzer Kindertisch.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Manifold learning with iterative dimensionality photo-projection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Evolutionary Wind Turbine Placement Optimization with Geographical Constraints
Springer Vieweg, ISBN: 978-3-658-18464-3, 2017

2016
Constrained evolutionary wind turbine placement with penalty functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization.
Proceedings of the LWA 2015 Workshops: KDML, 2015

On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Visualization of evolutionary runs with isometric mapping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Leaving Local Optima in Unsupervised Kernel Regression.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A variable kernel function for hybrid unsupervised kernel regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An Evolutionary Approach to Geo-Planning of Renewable Energies.
Proceedings of the 28th International Conference on Informatics for Environmental Protection: ICT for Energy Effieciency, 2014


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