| Data tracking in search of workflows NL Holten Møller, P Bjørn, JC Villumsen, TCH Hancock, T Aritake, S Tani Proceedings of the 2017 ACM conference on computer supported cooperative …, 2017 | 22 | 2017 |
| Detecting cell assemblies by NMF-based clustering from calcium imaging data M Nagayama, T Aritake, H Hino, T Kanda, T Miyazaki, M Yanagisawa, ... Neural Networks 149, 29-39, 2022 | 8 | 2022 |
| Learning ancestral atom via sparse coding T Aritake, H Hino, N Murata IEEE Journal of Selected Topics in Signal Processing 7 (4), 586-594, 2013 | 5 | 2013 |
| Fast and robust multiplane single-molecule localization microscopy using a deep neural network T Aritake, H Hino, S Namiki, D Asanuma, K Hirose, N Murata Neurocomputing 451, 279-289, 2021 | 4 | 2021 |
| Sleep state analysis using calcium imaging data by non-negative matrix factorization M Nagayama, T Aritake, H Hino, T Kanda, T Miyazaki, M Yanagisawa, ... Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 3 | 2019 |
| Domain adaptation with optimal transport for extended variable space T Aritake, H Hino 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 2 | 2022 |
| Unsupervised domain adaptation for extra features in the target domain using optimal transport T Aritake, H Hino Neural Computation 34 (12), 2432-2466, 2022 | 1 | 2022 |
| Single-molecule localization by voxel-wise regression using convolutional neural network T Aritake, H Hino, S Namiki, D Asanuma, K Hirose, N Murata Results in Optics 1, 100019, 2020 | 1 | 2020 |
| Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness T Kanda, T Aritake, K Ohyama, KE Vogt, Y Makino, T McHugh, H Hino, ... bioRxiv, 2023.07. 29.550297, 2023 | | 2023 |
| Real-time 3D localization of multifocal plane microscopy using deep neural network T Aritake, H Hino, S Namiki, D Asanuma, K Hirose, N Murata IEICE Technical Report; IEICE Tech. Rep. 119 (360), 75-81, 2020 | | 2020 |
| A sleep state analysis from calcium imaging data using non-negative matrix factorization M Nagayama, T Aritake, H Hino, T Kanda, T Miyazaki, M Yanagisawa, ... IEICE Technical Report; IEICE Tech. Rep. 119 (89), 79-83, 2019 | | 2019 |
| Learning Scale and Shift-Invariant Dictionary for Sparse Representation T Aritake, N Murata Machine Learning, Optimization, and Data Science: 5th International …, 2019 | | 2019 |
| Ancestoral Atom Learning for Dictionary Generation in Sparse Coding T Aritake, H Hino, N Murata IEICE Technical Report; IEICE Tech. Rep. 112 (279), 343-350, 2012 | | 2012 |
| Social Reforms Accelerated by Data Distribution S Tani, JC Villumsen, T Aritake, BH Taylor, G Moffa | | |
| Results in Optics T Aritake, H Hino, S Namiki, D Asanuma, K Hirose, N Murata | | |
Noboru MurataWaseda UniversityVerified email at eb.waseda.ac.jp
