Kazushi IKEDA
Kazushi IKEDA
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
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, 1678, 2019
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
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
Effects of kernel function on Nu support vector machines in extreme cases
K Ikeda
IEEE Transactions on Neural Networks 17 (1), 1-9, 2006
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
Geometrical properties of Nu support vector machines with different norms
K Ikeda, N Murata
Neural Computation 17 (11), 2508-2529, 2005
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
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
An asymptotic statistical analysis of support vector machines with soft margins
K Ikeda, T Aoishi
Neural Networks 18 (3), 251-259, 2005
Geometry of admissible parameter region in neural learning
IEICE transactions on fundamentals of electronics, communications and …, 1996
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
Information geometry of interspike intervals in spiking neurons
K Ikeda
Neural computation 17 (12), 2719-2735, 2005
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
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Artikkelit 1–20