Ryota Kobayashi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 27

Top Topics

Heterogeneous Data Sets

Spatial Configuration

Top Venues

IEEE Robotics Autom. Lett.

IEICE Trans. Commun.

Publications

Shoma Tanaka, Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori
Fiber Jamming Mechanism for Back-Stretchable McKibben Muscles. SII (2024)
Zebing Mao, Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori
Large Language Model-empowered multimodal strain sensory system for shape recognition, monitoring, and human interaction of tensegrity. CoRR (2024)
Makoto Ohba, Ryota Kobayashi, Chifumi Iseki, Kazukuni Kirii, Daichi Morioka, Koichi Otani, Yasuyuki Ohta, Yukihiko Sonoda, Koji Suzuki, Masafumi Kanoto
I-FP-CIT SPECT images in idiopathic normal pressure hydrocephalus. BMC Medical Imaging 23 (1) (2023)
Ryota Kobayashi, Yasuaki Yuda, Kenichi Higuchi
Highly-Efficient Low-Latency HARQ Built on NOMA for URLLC: Radio Resource Allocation and Transmission Rate Control Aspects. IEICE Trans. Commun. 106 (10) (2023)
Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori
Large Torsion Thin Artificial Muscles Tensegrity Structure for Twist Manipulation. IEEE Robotics Autom. Lett. 8 (3) (2023)
Ryota Kobayashi, Takanori Hara, Yasuaki Yuda, Kenichi Higuchi
NOMA-Based Highly-Efficient Low-Latency HARQ with Inter-Base Station Cooperation for URLLC. IEICE Trans. Commun. 106 (11) (2023)
Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori
Active-Bending Six-Bar Tensegrity Modular Robot Driven by Thin Artificial Muscles. IEEE Robotics Autom. Lett. 8 (11) (2023)
Hayeong Lee, Lubomir Kostal, Ryohei Kanzaki, Ryota Kobayashi
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons. Biosyst. 223 (2023)
Yuri Nakayama, Yuka Takedomi, Towa Suda, Takeaki Uno, Takako Hashimoto, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Luis E. C. Rocha, Ryota Kobayashi
Evolution of the public opinion on COVID-19 vaccination in Japan. CoRR (2022)
Ryota Kobayashi, Hiroyuki Nabae, Gen Endo, Koichi Suzumori
Soft Tensegrity Robot Driven by Thin Artificial Muscles for the Exploration of Unknown Spatial Configurations. IEEE Robotics Autom. Lett. 7 (2) (2022)
Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno
Analyzing temporal patterns of topic diversity using graph clustering. J. Supercomput. 77 (5) (2021)
Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. IEEE BigData (2021)
Ryota Kobayashi, Yasuaki Yuda, Kenichi Higuchi
NOMA-Based Highly-Efficient Low-Latency HARQ Method for URLLC. VTC Fall (2021)
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte
Modeling Collective Anticipation and Response on Wikipedia. CoRR (2021)
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte
Modeling Collective Anticipation and Response on Wikipedia. ICWSM (2021)
David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz
Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling. CoRR (2021)
David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz
Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Sci. 9 (1) (2020)
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki, Ryota Kobayashi
Modeling and Predicting Fake News Spreading on Twitter. CoRR (2020)
Han Xu, Takahiro Shinozaki, Ryota Kobayashi
Effective and Stable Neuron Model Optimization Based on Aggregated CMA-ES. ICASSP (2019)
Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama
Simultaneous Local Adaptation for Different Local Properties. IES (2019)
Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo, Petr Lánský
A single spike deteriorates synaptic conductance estimation. Biosyst. 161 (2017)
Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi, Carlos Castillo, Philippe Cudré-Mauroux, Karl Aberer
Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series. WWW (2017)
Ryota Kobayashi, Renaud Lambiotte
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. CoRR (2016)
Ryota Kobayashi, Renaud Lambiotte
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. ICWSM (2016)
Ryota Kobayashi, Katsunori Kitano
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model. J. Comput. Neurosci. 40 (3) (2016)
Jun-ichi Imai, Ryota Kobayashi, Kazuya Jinjo, Hirobumi Suzuki, Kazuto Kameda, Shohei Koshikawa, Seiya Takihara
Interactive Projection System That Always Presents Information within User's View. SCIS&ISIS (2016)
Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi, Renaud Lambiotte
Input-output relationship in social communications characterized by spike train analysis. CoRR (2016)
Ryota Kobayashi, Jufang He, Petr Lánský
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron. Frontiers Comput. Neurosci. 9 (2015)
Lubomir Kostal, Ryota Kobayashi
Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints. Biosyst. 136 (2015)
Ryota Kobayashi, Katsunori Kitano
Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model. J. Comput. Neurosci. 35 (1) (2013)
Wataru Ichimura, Sho Kiyoshige, Masahiro Terasaki, Ryota Kobayashi, Genki Kubo, Hiroki Otsuka, Toshio Sudo
Anti-resonance peak frequency control by variable on-die capacitance. EMC Compo (2013)
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lánský, Shigeru Shinomoto
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. NIPS (2011)
Ryota Kobayashi, Shigeru Shinomoto, Petr Lánský
Estimation of Time-Dependent Input from Neuronal Membrane Potential. Neural Comput. 23 (12) (2011)
Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto
Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers Comput. Neurosci. 3 (2009)
Ryota Kobayashi, Shigeru Shinomoto
Predicting spike times from subthreshold dynamics of a neuron. NIPS (2006)