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2020 – today
- 2024
[j7]Naohiko Inaba, Hideaki Okazaki, Hidetaka Ito
:
Nested mixed-mode oscillations in the forced van der Pol oscillator. Commun. Nonlinear Sci. Numer. Simul. 133: 107932 (2024)- [j6]Hidetaka Ito, Naohiko Inaba:
Analysis of Successive Doubly Nested Mixed-Mode Oscillations. Int. J. Bifurc. Chaos 34(4): 2450044:1-2450044:16 (2024) - 2021
- [c14]Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito, Kimiko Motonaka, Yutaka Maeda:
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability. IJCNN 2021: 1-6
2010 – 2019
- 2019
- [j5]Dongliang Yu, Jiangjie Lu, Weishan Shao, Xiaoxia Ma, Tian Xie, Hidetaka Ito, Tingzhang Wang, Min Xu, Huizhong Wang, Yijun Meng:
MepmiRDB: a medicinal plant microRNA database. Database J. Biol. Databases Curation 2019: baz070 (2019) - [c13]Hidetaka Ito, Kyota Tsutsumida, Tatsushi Matsubayashi, Takeshi Kurashima, Hiroyuki Toda:
Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces. WSC 2019: 3645-3656 - 2018
- [j4]Hiroomi Hikawa, Masayuki Tamaki, Hidetaka Ito:
Off-Chip Training with Additive Perturbation for FPGA-Based Hand Sign Recognition System. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(2): 499-506 (2018) - [j3]Yuto Kurosaki, Masayoshi Ohta, Hidetaka Ito, Hiroomi Hikawa:
SOM-Based Vector Recognition with Pre-Grouping Functionality. IEICE Trans. Inf. Syst. 101-D(6): 1657-1665 (2018) - [j2]Hidetaka Ito, Hiroomi Hikawa, Yutaka Maeda:
A Subspace Newton-Type Method for Approximating Transversely Repelling Chaotic Saddles. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(7): 1127-1131 (2018) - [c12]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
A New Hardware Self-Organizing Map Architecture with High Expandability. IPAS 2018: 238-243 - [c11]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
Hardware Self-Organizing Map Based on Frequency-Modulated Signal and Digital Frequency-Locked Loop. ISCAS 2018: 1-5 - [c10]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
A New Self-Organizing Map with Continuous Learning Capability. SSCI 2018: 2163-2168 - 2016
- [c9]Takashi Fujii, Hidetaka Ito, Seiji Miyoshi:
A Theoretical Analysis of Semi-supervised Learning. ICONIP (2) 2016: 28-36 - [c8]Yuta Ichikawa, Shuji Tashiro, Hidetaka Ito, Hiroomi Hikawa:
Gesture Spotting by Using Vector Distance of Self-organizing Map. ICONIP (2) 2016: 419-426 - [c7]Yuta Ichikawa, Shuji Tashiro, Hidetaka Ito, Hiroomi Hikawa:
Real time gesture recognition system with gesture spotting function. SSCI 2016: 1-7 - [c6]Masayoshi Ohta, Yuto Kurosaki, Hidetaka Ito, Hiroomi Hikawa:
Effect of grouping in vector recognition system based on SOM. SSCI 2016: 1-8 - 2012
- [c5]Yutaka Maeda, Akihiro Ito, Hidetaka Ito:
Central pattern generator and its learning via simultaneous perturbation method. IJCNN 2012: 1-6 - 2010
- [c4]Hidetaka Ito, Shinji Okamoto, Kosuke Fujimoto, Akira Kumamoto:
Constructing Continuous-Time Chaos-Generating Templates Using Polynomial Approximation. ECMS 2010: 253-257
2000 – 2009
- 2001
- [j1]Koji Eguchi, Hidetaka Ito, Akira Kumamoto, Yakichi Kanata:
Adaptive document clustering using incrementally expanded queries. Syst. Comput. Jpn. 32(2): 64-74 (2001)
1990 – 1999
- 1999
- [c3]Koji Eguchi, Hidetaka Ito, Akira Kumamoto, Yakichi Kanata:
Adaptive and Incremental Query Expansion for Cluster-based Browsing. DASFAA 1999: 25-34 - 1996
- [c2]Hidetaka Ito, Tatsumi Furuya:
Memory-Based Neural Network and Its Application to a Mobile Robot with Evolutionary and Experience Learning. ICES 1996: 234-246 - 1995
- [c1]Hidetaka Ito, Tatsumi Furuya, Tetsuo Hagiwara:
Intelligent mobile robot. ICNN 1995: 2699-2702
Coauthor Index
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