| 2020 | AAAI | Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. | Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka |
| 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 | SSPR | Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2010 | SPIRE | Algorithms for Finding a Minimum Repetition Representation of a String. | Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo |
| 2008 | ECCB | Mining significant tree patterns in carbohydrate sugar chains. | Kosuke Hashimoto, Ichigaku Takigawa, Motoki Shiga, Minoru Kanehisa, Hiroshi Mamitsuka |
| 2008 | ICPR | Classification by reflective convex hulls. | Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa |
| 2007 | ECIR | A Probabilistic Model for Clustering Text Documents with Multiple Fields. | Shanfeng Zhu, Ichigaku Takigawa, Shuqin Zhang, Hiroshi Mamitsuka |
| 2007 | ISMB | Annotating gene function by combining expression data with a modular gene network. | Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka |
| 2007 | KDD | A spectral clustering approach to optimally combining numericalvectors with a modular network. | Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka |
| 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 |