Kazushi IKEDA
Kazushi IKEDA
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
Effects of kernel function on Nu support vector machines in extreme cases
K Ikeda
IEEE Transactions on Neural Networks 17 (1), 1-9, 2006
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
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
Geometrical properties of Nu support vector machines with different norms
K Ikeda, N Murata
Neural Computation 17 (11), 2508-2529, 2005
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
Exponential family tensor factorization for missing-values prediction and anomaly detection
K Hayashi, T Takenouchi, T Shibata, Y Kamiya, D Kato, K Kunieda, ...
2010 IEEE International Conference on Data Mining, 216-225, 2010
Herding mechanisms to maintain the cohesion of a harem group: Two interaction phases during herding
M Ringhofer, CK Go, S Inoue, R S. Mendonça, S Hirata, T Kubo, K Ikeda, ...
Journal of Ethology 38, 71-77, 2020
Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance
N Koganti, JG Ngeo, T Tomoya, K Ikeda, T Shibata
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Feature based sentiment analysis of tweets in multiple languages
M Erdmann, K Ikeda, H Ishizaki, G Hattori, Y Takishima
Web Information Systems Engineering–WISE 2014: 15th International Conference …, 2014
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