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ORCIDKazuya Matsuo
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2020 – today
- 2024
[i1]Atsushi Otsuka, Kazuya Matsuo, Ryo Ishii, Narichika Nomoto, Hiroaki Sugiyama:
User-Specific Dialogue Generation with User Profile-Aware Pre-Training Model and Parameter-Efficient Fine-Tuning. CoRR abs/2409.00887 (2024)- 2023
- [j4]Toshiki Tagomori, Ryosuke Tsuruda, Kazuya Matsuo, Shuichi Kurogi
:
Speaker verification from mixture of speech and non-speech audio signals via using pole distribution of piecewise linear predictive coding coefficients. J. Ambient Intell. Humaniz. Comput. 14(12): 15585-15595 (2023) - [c28]Ryo Ishii, Fumio Nihei, Yoko Ishii, Atsushi Otsuka, Kazuya Matsuo, Narichika Nomoto, Atsushi Fukayama, Takao Nakamura:
Prediction of Love-Like Scores After Speed Dating Based on Pre-obtainable Personal Characteristic Information. INTERACT (4) 2023: 551-556 - 2021
- [j3]Kazuya Matsuo, Toshiharu Mukai, Shijie Guo:
Unconstrained Measurement of Heart Rate Considering Harmonics of Respiratory Signal Using Flexible Tactile Sensor Sheet. J. Robotics Mechatronics 33(4): 826-832 (2021) - [c27]Haruki Shigeta, Kodai Komatsu, Shun Oyabu, Kazuya Matsuo, Shuichi Kurogi:
Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution. ISDA 2021: 220-230 - 2020
- [c26]Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi:
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s. ICONIP (5) 2020: 713-722 - [c25]Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi:
Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series. ICONIP (5) 2020: 778-787
2010 – 2019
- 2019
- [c24]Hironobu Nakayama, Kazuya Matsuo, Shuichi Kurogi:
Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets. ICONIP (5) 2019: 365-375 - 2018
- [j2]Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo:
Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon. Neural Comput. Appl. 29(9): 341-349 (2018) - [j1]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara:
Efficient periodical boundary detection through boundary crossing record and sensor data overhearing in dense MWSNs. Pervasive Mob. Comput. 49: 45-61 (2018) - [c23]Shoya Matsuzaki, Kazuya Matsuo, Shuichi Kurogi:
Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series. ICONIP (6) 2018: 14-23 - [c22]Toshiki Tagomori, Kazuya Matsuo, Shuichi Kurogi:
Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals. ICONIP (6) 2018: 430-440 - 2017
- [c21]Shuichi Kurogi, Naoto Shimoda, Kazuya Matsuo:
Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series. SSCI 2017: 1-7 - [c20]Toshiki Nishi, Shuichi Kurogi, Kazuya Matsuo:
Grading fruits and vegetables using RGB-D images and convolutional neural network. SSCI 2017: 1-6 - 2016
- [c19]Daishiro Akiyama, Kazuya Matsuo, Shuichi Kurogi:
Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms. ICONIP (1) 2016: 158-167 - [c18]Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi:
Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI. ICONIP (4) 2016: 302-311 - [c17]Shota Sakashita, Satoshi Takeguchi, Kazuya Matsuo, Shuichi Kurogi:
Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations. ICONIP (4) 2016: 312-320 - [c16]Mitsuki Toidani, Kazuya Matsuo, Shuichi Kurogi:
Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon. ICONIP (4) 2016: 590-598 - [c15]Naoki Shoji, Kazuya Matsuo, Akimitsu Kanzaki, Shojiro Nishio:
Energy-efficient topology construction for multi-attribute data gathering in WSNs. IMCOM 2016: 14:1-14:8 - [c14]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara:
A Sampling-based Boundary Detection Method with Consideration of Boundary Shape in Dense Mobile Wireless Sensor Networks. MoMM 2016: 307-316 - 2015
- [c13]Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo:
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions. ICONIP (3) 2015: 72-81 - [c12]Shuichi Kurogi, Shota Sakashita, Satoshi Takeguchi, Takuya Ueki, Kazuya Matsuo:
Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification. ICONIP (1) 2015: 216-225 - 2014
- [c11]Toshiharu Mukai, Kazuya Matsuo, Yo Kato, Atsuki Shimizu, Shijie Guo:
Determination of locations on a tactile sensor suitable for respiration and heartbeat measurement of a person on a bed. EMBC 2014: 66-69 - [c10]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara, Shojiro Nishio:
Overhearing-Based Efficient Boundary Detection in Dense Mobile Wireless Sensor Networks. MDM (1) 2014: 225-234 - [c9]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara, Shojiro Nishio:
A Study on Efficient Event Monitoring in Dense Mobile Wireless Sensor Networks. SRDS 2014: 341-342 - 2013
- [c8]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara, Shojiro Nishio:
Data Gathering Considering Geographical Distribution of Data Values in Dense Mobile Wireless Sensor Networks. AINA 2013: 445-452 - [c7]Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara, Shojiro Nishio:
Agent Redeployment and Missing Data Regathering in Mobile Wireless Sensor Networks. COMPSAC 2013: 100-109 - [c6]Minghui Sun, Hiromichi Nakashima, Shinya Hirano, Kazuya Matsuo, Ming Ding, Chang-an Jiang, Toshiharu Mukai, Guihe Qin:
Adaptive User-Centered Design for Safety and Comfort of Physical Human Nursing - Care Robot Interaction. HCI (22) 2013: 365-372 - 2012
- [c5]Kouji Murakami, Kazuya Matsuo, Tsutomu Hasegawa, Ryo Kurazume:
Position tracking and recognition of everyday objects by using sensors embedded in an environment and mounted on mobile robots. ICRA 2012: 2210-2216 - 2010
- [c4]Kazuya Matsuo, Kouji Murakami, Katsuya Niwaki, Tsutomu Hasegawa, Kenji Tahara, Ryo Kurazume:
A tactile sensing for estimating the position and orientation of a joint-axis of a linked object. IROS 2010: 1884-1889
2000 – 2009
- 2009
- [c3]Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, Kenji Tahara, Ryo Kurazume:
Measurement of static constraints imposed by a human hand on a grasped object. ICAR 2009: 1-6 - [c2]Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, Kenji Tahara, Ryo Kurazume:
Segmentation method of human manipulation task based on measurement of force imposed by a human hand on a grasped object. IROS 2009: 1767-1772 - 2008
- [c1]Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, Ryo Kurazume:
A decision method for the placement of tactile sensors for manipulation task recognition. ICRA 2008: 1641-1646
Coauthor Index
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