| Smooth PARAFAC Decomposition for Tensor Completion T Yokota, Q Zhao, A Cichocki IEEE Transactions on Signal Processing 64 (20), 5423-5436, 2016 | 273 | 2016 |
| Missing slice recovery for tensors using a low-rank model in embedded space T Yokota, B Erem, S Guler, SK Warfield, H Hontani Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 123 | 2018 |
| Block Hankel tensor ARIMA for multiple short time series forecasting Q Shi, J Yin, J Cai, A Cichocki, T Yokota, L Chen, M Yuan, J Zeng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5758-5766, 2020 | 99 | 2020 |
| Robust multilinear tensor rank estimation using higher order singular value decomposition and information criteria T Yokota, N Lee, A Cichocki IEEE Transactions on Signal Processing 65 (5), 1196-1206, 2016 | 80 | 2016 |
| Dynamic PET image reconstruction using nonnegative matrix factorization incorporated with deep image prior T Yokota, K Kawai, M Sakata, Y Kimura, H Hontani Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 67 | 2019 |
| Simultaneous visual data completion and denoising based on tensor rank and total variation minimization and its primal-dual splitting algorithm T Yokota, H Hontani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 57 | 2017 |
| Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis T Yokota, R Zdunek, A Cichocki, Y Yamashita Signal Processing 113, 234-249, 2015 | 56 | 2015 |
| Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks T Yokota, T Maki, T Nagata, T Murakami, Y Ugawa, I Laakso, A Hirata, ... Brain stimulation 12 (6), 1500-1507, 2019 | 45 | 2019 |
| Manifold modeling in embedded space: An interpretable alternative to deep image prior T Yokota, H Hontani, Q Zhao, A Cichocki IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1022-1036, 2020 | 39* | 2020 |
| Matrix and tensor completion in multiway delay embedded space using tensor train, with application to signal reconstruction F Sedighin, A Cichocki, T Yokota, Q Shi IEEE Signal Processing Letters 27, 810-814, 2020 | 34 | 2020 |
| Simultaneous tensor completion and denoising by noise inequality constrained convex optimization T Yokota, H Hontani IEEE Access 7 (1), 15669-15682, 2019 | 33 | 2019 |
| Linked PARAFAC/CP tensor decomposition and its fast implementation for multi-block tensor analysis T Yokota, A Cichocki, Y Yamashita Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 32 | 2012 |
| Multilinear Tensor Rank Estimation via Sparse Tucker Decomposition T Yokota, A Cichocki Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International …, 2014 | 27 | 2014 |
| Tensors for data processing: theory, methods, and applications Y Liu Academic Press, 2021 | 25 | 2021 |
| Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation M Kugler, Y Goto, Y Tamura, N Kawamura, H Kobayashi, T Yokota, ... International journal of computer assisted radiology and surgery 14, 2047-2055, 2019 | 23 | 2019 |
| Fast algorithm for low-rank tensor completion in delay-embedded space R Yamamoto, H Hontani, A Imakura, T Yokota Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 20 | 2022 |
| An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization T Yokota, H Hontani 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 19 | 2017 |
| Development of super-high strength Al-Zn-Mg-Cu P/M alloys J Kusui, K Fujii, K Yokoe, T Yokota, K Osamura, O Kubota, H Okuda Mater. Sci. Forum, 217-222, 1823 | 19 | 1823 |
| Tensor completion with shift-invariant cosine bases T Yokota, H Hontani 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 15 | 2018 |
| EEG correlates of voice and face emotional judgments in the human brain K Hiyoshi-Taniguchi, M Kawasaki, T Yokota, H Bakardjian, H Fukuyama, ... Cognitive Computation 7, 11-19, 2015 | 15 | 2015 |
Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)Verified email at riken.jp
