| 2020 | ICASSP | Kernel Ridge Regression with Autocorrelation Prior: Optimal Model and Cross-Validation. | Akira Tanaka, Hideyuki Imai |
| 2016 | ICANN | Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. | Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto |
| 2016 | ICONIP | Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. | Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto |
| 2015 | WWW | Community Change Detection in Dynamic Networks in Noisy Environment. | Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai |
| 2014 | ACML | Theoretical Analyses on Ensemble and Multiple Kernel Regressors. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2014 | SSPR | Analyses on Generalization Error of Ensemble Kernel Regressors. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2012 | ICASSP | Variance analyses for kernel regressors with nested reproducing kernel hilbert spaces. | Akira Tanaka, Hideyuki Imai, Koji Takamiya |
| 2012 | SSPR | Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2011 | HCI | Observation Research of Consumer Behavior for Marketing Decision Support. | Hideyuki Imai, Noriko Hara, Toshiki Yamaoka |
| 2011 | ICASSP | Theoretical analyses on a class of nested RKHS's. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2010 | ICPR | A Relationship Between Generalization Error and Training Samples in Kernel Regressors. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2010 | IPMU | On a Fuzzy Weights Representation for Inner Dependence AHP. | Shin-ichi Ohnishi, Takahiro Yamanoi, Hideyuki Imai |
| 2009 | EUSFLAT | A Fuzzy Weight Representation for Inner Dependence Method AHP. | Shin-ichi Ohnishi, Takahiro Yamanoi, Hideyuki Imai |
| 2009 | KES | A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. | Mineichi Kudo, Jun Toyama, Hideyuki Imai |
| 2009 | KES | Effects of Kurtosis for the Error Rate Estimators Using Resampling Methods in Two Class Discrimination. | Kozo Yamada, Hirohito Sakurai, Hideyuki Imai, Yoshiharu Sato |
| 2008 | SSPR | Optimal Kernel in a Class of Kernels with an Invariant Metric. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2007 | EUSFLAT | A Fuzzy Representation for Weights of Alternatives in AHP. | Shin-ichi Ohnishi, Takahiro Yamanoi, Hideyuki Imai |
| 2006 | ICASSP | Theoretical Foundations of Second-Order-Statistics-Based Blind Source Separation for Non-Stationary Sources. | Akira Tanaka, Hideyuki Imai, Masaaki Miyakoshi |
| 2006 | SSPR | Model Selection Using a Class of Kernels with an Invariant Metric. | Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2004 | KES | Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2004 | MDAI | On Detecting Interactions in Hayashi's Second Method of Quantification. | Hideyuki Imai, Daigo Izawa, Kiyotaka Yoshida, Yoshiharu Sato |
| 2004 | SSPR | A Nearest Neighbor Method Using Bisectors. | Mineichi Kudo, Hideyuki Imai, Akira Tanaka, Tetsuya Murai |
| 2003 | EUSFLAT | On a modeling of decision making with a twofold integral. | Hideyuki Imai, Vicen Torra |
| 2000 | ICPR | A Histogram-Based Classifier on Overlapped Bins. | Mineichi Kudo, Hideyuki Imai, Masaru Shimbo |