RM-SORN: a reward-modulated self-organizing recurrent neural network W Aswolinskiy, G Pipa Frontiers in computational neuroscience 9, 36, 2015 | 17 | 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 | 14 | 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 | 12 | 2016 |
Time series classification in reservoir-and model-space W Aswolinskiy, RF Reinhart, J Steil Neural Processing Letters 48 (2), 789-809, 2018 | 11 | 2018 |
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 |
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 | 7 | 2017 |
Maschinelles Lernen in technischen Systemen F Reinhart, K Neumann, W Aswolinskiy, J Steil, B Hammer Steigerung der Intelligenz mechatronischer Systeme, 73-118, 2018 | 2 | 2018 |
Learning in the model space of neural networks W Aswolinskiy | 2 | 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 |
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images W Aswolinskiy, D Tellez, G Raya, L van der Woude, M Looijen-Salamon, ... Medical Imaging 2021: Digital Pathology 11603, 1160304, 2021 | | 2021 |