| 2021 | ISDA | Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution. | Haruki Shigeta, Kodai Komatsu, Shun Oyabu, Kazuya Matsuo, Shuichi Kurogi |
| 2020 | ICONIP | Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series. | Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi |
| 2020 | ICONIP | Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s. | Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi |
| 2019 | ICONIP | Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets. | Hironobu Nakayama, Kazuya Matsuo, Shuichi Kurogi |
| 2018 | ICONIP | Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series. | Shoya Matsuzaki, Kazuya Matsuo, Shuichi Kurogi |
| 2018 | ICONIP | Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals. | Toshiki Tagomori, Kazuya Matsuo, Shuichi Kurogi |
| 2016 | ICONIP | Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms. | Daishiro Akiyama, Kazuya Matsuo, Shuichi Kurogi |
| 2016 | ICONIP | Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations. | Shota Sakashita, Satoshi Takeguchi, Kazuya Matsuo, Shuichi Kurogi |
| 2016 | ICONIP | Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI. | Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi |
| 2016 | ICONIP | Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon. | Mitsuki Toidani, Kazuya Matsuo, Shuichi Kurogi |
| 2015 | ICONIP | Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification. | Shuichi Kurogi, Shota Sakashita, Satoshi Takeguchi, Takuya Ueki, Kazuya Matsuo |
| 2015 | ICONIP | Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions. | Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo |
| 2014 | ICONIP | Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems. | Weicheng Huang, Yuki Ishiguma, Shuichi Kurogi |
| 2014 | ICONIP | Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection. | Shuichi Kurogi, Ryosuke Shigematsu, Kohei Ono |
| 2014 | ICONIP | Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers. | Shuichi Kurogi, Takuya Ueki, Satoshi Takeguchi, Yuta Mizobe |
| 2014 | ICONIP | Accuracy Improvement of Localization and Mapping of ICP-SLAM via Competitive Associative Nets and Leave-One-Out Cross-Validation. | Shuichi Kurogi, Yoichiro Yamashita, Hikaru Yoshikawa, Kotaro Hirayama |
| 2013 | ICONIP | Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals. | Weicheng Huang, Shuichi Kurogi, Takeshi Nishida |
| 2013 | ICONIP | Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction. | Shuichi Kurogi, Kohei Ono, Takeshi Nishida |
| 2013 | ICONIP | Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors. | Shuichi Kurogi, Takuya Ueki, Yuta Mizobe, Takeshi Nishida |
| 2012 | ICONIP | Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets. | Weicheng Huang, Shuichi Kurogi, Takeshi Nishida |
| 2012 | ICONIP | Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker. | Yuta Mizobe, Shuichi Kurogi, Tomohiro Tsukazaki, Takeshi Nishida |
| 2012 | ICONIP | Moments of Predictive Deviations for Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction. | Kohei Ono, Shuichi Kurogi, Takeshi Nishida |
| 2011 | ICONIP | Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets. | Shuichi Kurogi, Shota Mineishi, Tomohiro Tsukazaki, Takeshi Nishida |
| 2011 | ICONIP | Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error. | Shuichi Kurogi, Tomokazu Nagi, Shoichi Yoshinaga, Hideaki Koya, Takeshi Nishida |
| 2011 | ICONIP | Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets. | Shuichi Kurogi, Hiroshi Yuno, Takeshi Nishida, Weicheng Huang |
| 2010 | ICONIP | An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals. | Shuichi Kurogi, Shota Mineishi, Seitaro Sato |
| 2010 | ICONIP | Range Image Registration Using Particle Filter and Competitive Associative Nets. | Shuichi Kurogi, Tomokazu Nagi, Takeshi Nishida |
| 2009 | ICONIP | Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2. | Shuichi Kurogi, Seitaro Sato, Kota Ichimaru |
| 2009 | ICONIP | A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions. | Shuichi Kurogi, Hiroshi Yuno, Yohei Koshiyama |
| 2008 | IJCNN | Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions. | Shuichi Kurogi, Yohei Koshiyama, Daisuke Kuwahara, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh |
| 2008 | IJCNN | Application of CAN2 to plane extraction from 3D range images. | Shuichi Kurogi, Daisuke Wakeyama, Hideaki Koya, Shota Okada, Shingo Inoue, Takeshi Nishida |
| 2007 | ICONIP | Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets. | Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu |
| 2007 | IJCNN | Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. | Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki |
| 2007 | IJCNN | Range Data Approximation for Mobile Robot by Using CAN2. | Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada |
| 2006 | ICONIP | Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions. | Shuichi Kurogi, Daisuke Kuwahara, Hiroaki Tomisaki, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh |
| 2006 | ICONIP | Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units. | Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida |
| 2006 | IJCNN | Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling. | Shuichi Kurogi, Daisuke Kuwahara, Shinya Tanaka |
| 2004 | IJCNN | Batch learning competitive associative net and its application to time series prediction. | Shuichi Kurogi, Takasama Ueno, Miho Sawa |
| 1998 | ICONIP | Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training. | Shuichi Kurogi, Akira Ikushima, Shougang Ren |
| 1998 | ICONIP | Recognition of Hand-Written Characters by a Multi-Layered Competitive Net. | Shuichi Kurogi, Takeshi Nishida, Shougang Ren |
| 1998 | ICONIP | An Analysis of Competitive Associative Nets. | Shuichi Kurogi, T. Sakamoto, Shougang Ren |