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Daniel Lückehe
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment
FJ Detmer, D Lückehe, F Mut, M Slawski, S Hirsch, P Bijlenga, ...
International journal of computer assisted radiology and surgery 15, 141-150, 2020
412020
On evolutionary approaches to wind turbine placement with geo-constraints
D Lückehe, M Wagner, O Kramer
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
142015
Evolutionary image simplification for lung nodule classification with convolutional neural networks
D Lückehe, G von Voigt
International Journal of Computer Assisted Radiology and Surgery 13, 1499-1513, 2018
82018
Constrained evolutionary wind turbine placement with penalty functions
D Lückehe, M Wagner, O Kramer
2016 IEEE Congress on Evolutionary Computation (CEC), 4903-4910, 2016
72016
Visualization of evolutionary runs with isometric mapping
O Kramer, D Lückehe
2015 IEEE Congress on Evolutionary Computation (CEC), 1359-1363, 2015
72015
Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization.
D Lückehe, O Kramer, M Weisensee
LWA, 108-119, 2015
62015
An Evolutionary Approach to Geo-Planning of Renewable Energies.
D Lückehe, O Kramer, M Weisensee
EnviroInfo, 501-508, 2014
52014
Manifold learning with iterative dimensionality photo-projection
D Lückehe, S Oehmcke, O Kramer
2017 International Joint Conference on Neural Networks (IJCNN), 2555-2561, 2017
42017
Leaving local optima in unsupervised kernel regression
D Lückehe, O Kramer
International Conference on Artificial Neural Networks, 137-144, 2014
42014
Hybride Optimierung für Dimensionsreduktion: Unüberwachte Regression mit Gradientenabstieg und evolutionären Algorithmen
D Lückehe
Springer-Verlag, 2015
32015
Alternating optimization of unsupervised regression with evolutionary embeddings
D Lückehe, O Kramer
European Conference on the Applications of Evolutionary Computation, 471-480, 2015
32015
Evolutionary Wind Turbine Placement Optimization with Geographical Constraints
D Lückehe
Springer Fachmedien Wiesbaden, 2017
22017
Multi-Stage Deep Learning for Context-Free Handwriting Recognition.
D Lückehe, N Mühlpforte, AO Effenberg, G von Voigt
LWDA, 239-250, 2018
12018
Analysis of Sound Localization Data Generated by the Extended Mainzer Kindertisch
D Lückehe, K Schmidt, K Plotz, G von Voigt
KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017
12017
Evolutionary Structure Minimization of Deep Neural Networks for Motion Sensor Data
D Lückehe, S Veith, G von Voigt
KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018
2018
A variable kernel function for hybrid unsupervised kernel regression
D Lückehe, O Kramer
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
2014
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