Gouhei Tanaka
Orcid: 0000-0002-6223-4406
According to our database1,
Gouhei Tanaka
authored at least 66 papers
between 2003 and 2024.
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Bibliography
2024
Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting.
Knowl. Based Syst., 2024
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing.
CoRR, 2024
Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction.
Appl. Soft Comput., March, 2023
CoRR, 2023
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification.
CoRR, 2023
Long-time-constant leaky-integrating oxygen-vacancy drift-diffusion FET for human-interactive spiking reservoir computing.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing.
IEEE Trans. Neural Networks Learn. Syst., 2022
Neuromorph. Comput. Eng., 2022
Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses.
Knowl. Based Syst., 2022
Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction.
Neurocomputing, 2022
Int. J. Bifurc. Chaos, 2022
Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions.
CoRR, 2022
Computational Efficiency of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction.
IEEE Access, 2022
Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models.
Neural Networks, 2021
Simulation platform for pattern recognition based on reservoir computing with memristor networks.
CoRR, 2021
CoRR, 2021
A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device.
IEEE Access, 2021
partial-FORCE: A fast and robust online training method for recurrent neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory.
IEEE Trans. Neural Networks Learn. Syst., 2020
Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks.
Neurocomputing, 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware.
Aust. J. Intell. Inf. Process. Syst., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Int. J. Bifurc. Chaos, 2015
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015
Regularity and randomness in modular network structures for neural associative memories.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
IEEE Comput. Intell. Mag., 2013
Proceedings of the 12th European Control Conference, 2013
2012
Dynamical modeling of chronic myeloid leukemia progression and the development of mutations.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
2009
Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction.
IEEE Trans. Neural Networks, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
J. Nonlinear Sci., 2008
2005
Int. J. Bifurc. Chaos, 2005
2003
Int. J. Bifurc. Chaos, 2003