| Heart rate variability predicts the emotional state in dogs M Katayama, T Kubo, K Mogi, K Ikeda, M Nagasawa, T Kikusui Behavioural processes 128, 108-112, 2016 | 133 | 2016 |
| Actin migration driven by directional assembly and disassembly of membrane-anchored actin filaments H Katsuno, M Toriyama, Y Hosokawa, K Mizuno, K Ikeda, Y Sakumura, ... Cell reports 12 (4), 648-660, 2015 | 92 | 2015 |
| Art expertise reduces influence of visual salience on fixation in viewing abstract-paintings N Koide, T Kubo, S Nishida, T Shibata, K Ikeda PloS one 10 (2), e0117696, 2015 | 92 | 2015 |
| Amplify-and-forward cooperative diversity schemes for multi-carrier systems M Kaneko, K Hayashi, P Popovski, K Ikeda, H Sakai, R Prasad IEEE Transactions on Wireless Communications 7 (5), 1845-1850, 2008 | 83 | 2008 |
| Shootin1–cortactin interaction mediates signal–force transduction for axon outgrowth Y Kubo, K Baba, M Toriyama, T Minegishi, T Sugiura, S Kozawa, K Ikeda, ... Journal of Cell Biology 210 (4), 663-676, 2015 | 79 | 2015 |
| Emotional contagion from humans to dogs is facilitated by duration of ownership M Katayama, T Kubo, T Yamakawa, K Fujiwara, K Nomoto, K Ikeda, ... Frontiers in Psychology 10, 1678, 2019 | 67 | 2019 |
| Neural decoding of single vowels during covert articulation using electrocorticography S Ikeda, T Shibata, N Nakano, R Okada, N Tsuyuguchi, K Ikeda, A Kato Frontiers in Human Neuroscience 8, 125, 2014 | 54 | 2014 |
| Modeling and prediction of driving behaviors using a nonparametric Bayesian method with AR models R Hamada, T Kubo, K Ikeda, Z Zhang, T Shibata, T Bando, K Hitomi, ... IEEE Transactions on Intelligent Vehicles 1 (2), 131-138, 2016 | 51 | 2016 |
| Dependence of electrical and structural properties on film thickness of undoped ZnO thin films prepared by plasma-assisted electron beam deposition S Kishimoto, T Yamamoto, Y Nakagawa, K Ikeda, H Makino, T Yamada Superlattices and Microstructures 39 (1-4), 306-313, 2006 | 50 | 2006 |
| Pay it backward: Per-task payments on crowdsourcing platforms reduce productivity K Ikeda, MS Bernstein Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 49 | 2016 |
| Bayesian nonparametric learning of cloth models for real-time state estimation N Koganti, T Tamei, K Ikeda, T Shibata IEEE Transactions on Robotics 33 (4), 916-931, 2017 | 45 | 2017 |
| Predicting the band gap of ZnO quantum dots via supervised machine learning models PR Regonia, CM Pelicano, R Tani, A Ishizumi, H Yanagi, K Ikeda Optik 207, 164469, 2020 | 42 | 2020 |
| Development and application of a 3He Neutron Spin Filter at J-PARC T Okudaira, T Oku, T Ino, H Hayashida, H Kira, K Sakai, K Hiroi, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020 | 40 | 2020 |
| A new criterion using information gain for action selection strategy in reinforcement learning K Iwata, K Ikeda, H Sakai IEEE Transactions on Neural Networks 15 (4), 792-799, 2004 | 38 | 2004 |
| Effects of kernel function on Nu support vector machines in extreme cases K Ikeda IEEE Transactions on Neural Networks 17 (1), 1-9, 2006 | 35 | 2006 |
| Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities TD Itoh, T Kubo, K Ikeda Neural Networks 145, 356-373, 2022 | 34 | 2022 |
| Efficient learning with robust gradient descent MJ Holland, K Ikeda Machine Learning 108, 1523-1560, 2019 | 33 | 2019 |
| Face-mask-aware facial expression recognition based on face parsing and vision transformer B Yang, J Wu, K Ikeda, G Hattori, M Sugano, Y Iwasawa, Y Matsuo Pattern Recognition Letters 164, 173-182, 2022 | 31 | 2022 |
| A reinforcement learning approach to the shepherding task using SARSA CK Go, B Lao, J Yoshimoto, K Ikeda 2016 International Joint Conference on Neural Networks (IJCNN), 3833-3836, 2016 | 29 | 2016 |
| Geometrical properties of Nu support vector machines with different norms K Ikeda, N Murata Neural Computation 17 (11), 2508-2529, 2005 | 29 | 2005 |
Takatomi KuboNAISTZweryfikowany adres z is.naist.jp