Witali Aswolinskiy
Witali Aswolinskiy
Deep learning & Computational Pathology, Radboud University Medical Center
Verified email at radboudumc.nl
Title
Cited by
Cited by
Year
RM-SORN: a reward-modulated self-organizing recurrent neural network
W Aswolinskiy, G Pipa
Frontiers in computational neuroscience 9, 36, 2015
162015
Impact of Regularization on the Model Space for Time Series Classification
W Aswolinskiy, RF Reinhart, J Steil
Workshop New Challenges in Neural Computation, 2015
132015
Time series classification in reservoir-and model-space
W Aswolinskiy, RF Reinhart, J Steil
Neural Processing Letters 48 (2), 789-809, 2018
112018
Time series classification in reservoir-and model-space: a comparison
W Aswolinskiy, RF Reinhart, J Steil
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 197-208, 2016
112016
Modelling of parameterized processes via regression in the model space
W Aswolinskiy, F Reinhart, JJ Steil
Proceedings of 24th European Symposium on Artificial Neural Networks, 2016
92016
Modelling of parametrized processes via regression in the model space of neural networks
W Aswolinskiy, RF Reinhart, JJ Steil
Neurocomputing 268, 55-63, 2017
72017
Unsupervised transfer learning for time series via self-predictive modelling-first results
W Aswolinskiy, B Hammer
Proceedings of the Workshop on New Challenges in Neural Computation (NC2) 3, 2017
62017
Maschinelles Lernen in technischen Systemen
F Reinhart, K Neumann, W Aswolinskiy, J Steil, B Hammer
Steigerung der Intelligenz mechatronischer Systeme, 73-118, 2018
22018
Learning in the Model Space of Neural Networks
W Aswolinskiy
22018
Parameterized pattern generation via regression in the model space of echo state networks
W Aswolinskiy, JJ Steil
Proceedings of the Workshop on New Challenges in Neural Computation, 2016
12016
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Articles 1–10