| RM-SORN: a reward-modulated self-organizing recurrent neural network W Aswolinskiy, G Pipa Frontiers in computational neuroscience 9, 36, 2015 | 12 | 2015 |
| Impact of Regularization on the Model Space for Time Series Classification W Aswolinskiy, RF Reinhart, J Steil Workshop New Challenges in Neural Computation, 2015 | 11 | 2015 |
| 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 | 9 | 2016 |
| 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 | 9 | 2016 |
| Modelling of parametrized processes via regression in the model space of neural networks W Aswolinskiy, RF Reinhart, JJ Steil Neurocomputing 268, 55-63, 2017 | 7 | 2017 |
| Time series classification in reservoir-and model-space W Aswolinskiy, RF Reinhart, J Steil Neural Processing Letters 48 (2), 789-809, 2018 | 5 | 2018 |
| 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 | 4 | 2017 |
| Learning in the Model Space of Neural Networks W Aswolinskiy | 1 | 2018 |
| 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 | 1 | 2016 |
| Maschinelles Lernen in technischen Systemen F Reinhart, K Neumann, W Aswolinskiy, J Steil, B Hammer Steigerung der Intelligenz mechatronischer Systeme, 73-118, 2018 | | 2018 |
| Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling W Aswolinskiy, B Hammer | | |
Gordon PipaProfessor for neuroinformaticsBestätigte E-Mail-Adresse bei uos.de
