| Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction Z Li, G Tanaka Neurocomputing 467, 115-129, 2022 | 32 | 2022 |
| A novel gaussian–bernoulli based convolutional deep belief networks for image feature extraction Z Li, X Cai, Y Liu, B Zhu Neural Processing Letters 49, 305-319, 2019 | 22 | 2019 |
| Multi-reservoir echo state networks with Hodrick–Prescott filter for nonlinear time-series prediction Z Li, Y Liu, G Tanaka Applied Soft Computing 135, 110021, 2023 | 13 | 2023 |
| Deep echo state networks with multi-span features for nonlinear time series prediction Z Li, G Tanaka 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 11 | 2020 |
| HP-ESN: Echo state networks combined with Hodrick-Prescott filter for nonlinear time-series prediction Z Li, G Tanaka 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 11 | 2020 |
| Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction Z Li, X Cai, T Liang Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 3 | 2016 |
| A multi-reservoir echo state network with multiple-size input time slices for nonlinear time-series prediction Z Li, G Tanaka Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 2 | 2021 |
| Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification Z Li, K Fujiwara, G Tanaka International Conference on Neural Information Processing, 523-534, 2023 | | 2023 |
| An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data Z Li, K Fujiwara, G Tanaka International Conference on Artificial Neural Networks, 13-25, 2023 | | 2023 |
Gouhei TanakaNagoya Institute of TechnologyVerified email at nitech.ac.jp
