受强制性开放获取政策约束的文章 - Oliver Kramer了解详情
无法在其他位置公开访问的文章：10 篇
Towards non-linear constraint estimation for expensive optimization
F Gieseke, O Kramer
European conference on the applications of evolutionary computation, 459-468, 2013
强制性开放获取政策： German Research Foundation
Physical adversarial attacks by projecting perturbations
N Worzyk, H Kahlen, O Kramer
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019
强制性开放获取政策： German Research Foundation
Prediction with recurrent neural networks in evolutionary dynamic optimization
A Meier, O Kramer
Applications of Evolutionary Computation: 21st International Conference …, 2018
强制性开放获取政策： German Research Foundation
An adaptive penalty function with meta-modeling for constrained problems
O Kramer, U Schlachter, V Spreckels
2013 IEEE Congress on Evolutionary Computation, 1350-1354, 2013
强制性开放获取政策： German Research Foundation
Predictive uncertainty estimation with temporal convolutional networks for dynamic evolutionary optimization
A Meier, O Kramer
Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019
强制性开放获取政策： German Research Foundation
An evolutionary fragment-based approach to molecular fingerprint reconstruction
T Cofala, O Kramer
Proceedings of the genetic and evolutionary computation conference, 1156-1163, 2022
强制性开放获取政策： German Research Foundation
Evolution strategies with Ledoit-Wolf covariance matrix estimation
O Kramer
2015 IEEE Congress on Evolutionary Computation (CEC), 1712-1716, 2015
强制性开放获取政策： German Research Foundation
Spatial Generation of Molecules with Transformers
T Cofala, T Teusch, O Kramer
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
强制性开放获取政策： German Research Foundation
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks
S Oehmcke, T Teusch, T Petersen, T Klüner, O Kramer
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
强制性开放获取政策： German Research Foundation
Dimensionality reduction in continuous evolutionary optimization
O Kramer
2015 International Joint Conference on Neural Networks (IJCNN), 1-4, 2015
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：16 篇
Fast and simple gradient-based optimization for semi-supervised support vector machines
F Gieseke, A Airola, T Pahikkala, O Kramer
Neurocomputing 123, 23-32, 2014
强制性开放获取政策： German Research Foundation
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.
F Gieseke, A Airola, T Pahikkala, O Kramer
ICPRAM (1), 45-54, 2012
强制性开放获取政策： German Research Foundation
Design of SARS-CoV-2 main protease inhibitors using artificial intelligence and molecular dynamic simulations
L Elend, L Jacobsen, T Cofala, J Prellberg, T Teusch, O Kramer, ...
Molecules 27 (13), 4020, 2022
强制性开放获取政策： German Research Foundation, Volkswagen Foundation, Danish Council for …
Recurrent neural network-predictions for PSO in dynamic optimization
A Meier, O Kramer
Proceedings of the Genetic and Evolutionary Computation Conference, 29-36, 2018
强制性开放获取政策： German Research Foundation
Unsupervised multi-class regularized least-squares classification
T Pahikkala, A Airola, F Gieseke, O Kramer
2012 IEEE 12th International Conference on Data Mining, 585-594, 2012
强制性开放获取政策： German Research Foundation
Evolutionary multi-objective design of sars-cov-2 protease inhibitor candidates
T Cofala, L Elend, P Mirbach, J Prellberg, T Teusch, O Kramer
Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020
强制性开放获取政策： German Research Foundation
Enhanced SVR ensembles for wind power prediction
WL Woon, O Kramer
2016 International Joint Conference on Neural Networks (IJCNN), 2743-2748, 2016
强制性开放获取政策： US Department of Energy
Constrained evolutionary wind turbine placement with penalty functions
D Lückehe, M Wagner, O Kramer
2016 IEEE Congress on Evolutionary Computation (CEC), 4903-4910, 2016
强制性开放获取政策： Australian Research Council
Efficient recurrent local search strategies for semi-and unsupervised regularized least-squares classification
F Gieseke, O Kramer, A Airola, T Pahikkala
Evolutionary Intelligence 5, 189-205, 2012
强制性开放获取政策： German Research Foundation
Adversarials -1: Defending by Attacking
N Worzyk, O Kramer
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
强制性开放获取政策： German Research Foundation
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