Unsupervised feature extraction by time-contrastive learning and nonlinear ica A Hyvarinen, H Morioka Advances in neural information processing systems 29, 2016 | 466 | 2016 |
Nonlinear ICA of temporally dependent stationary sources A Hyvarinen, H Morioka Artificial intelligence and statistics, 460-469, 2017 | 264 | 2017 |
Learning a common dictionary for subject-transfer decoding with resting calibration H Morioka, A Kanemura, J Hirayama, M Shikauchi, T Ogawa, S Ikeda, ... NeuroImage 111, 167-178, 2015 | 123 | 2015 |
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information H Morioka, A Kanemura, S Morimoto, T Yoshioka, S Oba, M Kawanabe, ... Neuroimage 90, 128-139, 2014 | 73 | 2014 |
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration A Kanemura, Y Morales, M Kawanabe, H Morioka, N Kallakuri, T Ikeda, ... 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 52 | 2013 |
Map generation apparatus, map generation method, moving method for moving body, and robot apparatus O Hasegawa, H Morioka, N Tongprasit, S Yi US Patent 9,224,043, 2015 | 46 | 2015 |
Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning A Hyvärinen, I Khemakhem, H Morioka Patterns 4 (10), 2023 | 42 | 2023 |
Vision-based mobile robot's slam and navigation in crowded environments H Morioka, S Yi, O Hasegawa 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 39 | 2011 |
EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability T Nishimoto, H Higashi, H Morioka, S Ishii Journal of Neural Engineering 17 (2), 026007, 2020 | 32 | 2020 |
Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits H Morioka, V Calhoun, A Hyvärinen NeuroImage 218, 116989, 2020 | 29 | 2020 |
Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data H Morioka, A Hyvarinen International conference on artificial intelligence and statistics, 3399-3426, 2023 | 27 | 2023 |
Independent innovation analysis for nonlinear vector autoregressive process H Morioka, H Hälvä, A Hyvarinen International conference on artificial intelligence and statistics, 1549-1557, 2021 | 23 | 2021 |
Causal representation learning made identifiable by grouping of observational variables H Morioka, A Hyvärinen arXiv preprint arXiv:2310.15709, 2023 | 8 | 2023 |
Individual identification by resting-state EEG using common dictionary learning T Nishimoto, Y Azuma, H Morioka, S Ishii Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 8 | 2017 |
Analysis Methods toward Brain-Machine Interfaces in Real Environments H Morioka 京都大学 (Kyoto University), 2015 | | 2015 |