| 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 | 110 | 2016 |
| Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A large online survey of Japanese adults T Oka, T Hamamura, Y Miyake, N Kobayashi, M Honjo, M Kawato, T Kubo, ... Journal of Psychiatric Research 142, 218-225, 2021 | 107 | 2021 |
| 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 | 73 | 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, 1678, 2019 | 46 | 2019 |
| 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 | 39 | 2016 |
| 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 | 25 | 2020 |
| Expert programmers have fine-tuned cortical representations of source code Y Ikutani, T Kubo, S Nishida, H Hata, K Matsumoto, K Ikeda, S Nishimoto eneuro 8 (1), 2021 | 20 | 2021 |
| Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG T Kubo, M Yoshida, T Hattori, K Ikeda Neurocomputing 134, 15-19, 2014 | 16 | 2014 |
| 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 | 15 | 2022 |
| Variational Bayesian inference algorithms for infinite relational model of network data T Konishi, T Kubo, K Watanabe, K Ikeda IEEE Transactions on Neural Networks and Learning Systems 26 (9), 2176-2181, 2014 | 12 | 2014 |
| Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one year later: a longitudinal online survey of the Japanese … T Oka, T Kubo, N Kobayashi, F Nakai, Y Miyake, T Hamamura, M Honjo, ... Translational Psychiatry 11 (1), 573, 2021 | 11 | 2021 |
| Cyber-enhanced rescue canine K Ohno, R Hamada, T Hoshi, H Nishinoma, S Yamaguchi, S Arnold, ... Disaster Robotics: Results from the ImPACT Tough Robotics Challenge, 143-193, 2019 | 11 | 2019 |
| Roles of pre-training in deep neural networks from information theoretical perspective Y Furusho, T Kubo, K Ikeda Neurocomputing 248, 76-79, 2017 | 11 | 2017 |
| Epileptic seizure suppression by focal brain cooling with recirculating coolant cooling system: modeling and simulation K Hata, K Fujiwara, T Inoue, T Abe, T Kubo, T Yamakawa, S Nomura, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (2 …, 2019 | 9 | 2019 |
| Real-time emotional state estimation system for Canines based on heart rate variability R Hamada, K Ohno, S Matsubara, T Hoshi, M Nagasawa, T Kikusui, ... 2017 IEEE International Conference on Cyborg and Bionic Systems (CBS), 298-303, 2017 | 9 | 2017 |
| A comparative study of time series modeling for driving behavior towards prediction R Hamada, T Kubo, K Ikeda, Z Zhang, T Bando, M Egawa 2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013 | 9 | 2013 |
| Application of SsVGMM to medical data-classification with novelty detection F Yang, J Soriano, T Kubo, K Ikeda 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 8 | 2017 |
| Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to … J Soriano, T Kubo, T Inoue, H Kida, T Yamakawa, M Suzuki, K Ikeda PLoS Computational Biology 13 (10), e1005736, 2017 | 7 | 2017 |
| Canine emotional states assessment with heart rate variability E Nakahara, Y Maruno, T Kubo, R Ouchi, M Katayama, K Fujiwara, ... 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 7 | 2016 |
| A classification method between novice and experienced drivers using eye tracking data and Gaussian process classifier Z Zhang, T Kubo, J Watanabe, T Shibata, K Ikeda, T Bando, K Hitomi, ... Society of Instrument and Control Engineers of Japan (SICE), 2015 54th …, 2015 | 7 | 2015 |
