2008 |
11 | EE | Kosuke Hashimoto,
Ichigaku Takigawa,
Motoki Shiga,
Minoru Kanehisa,
Hiroshi Mamitsuka:
Mining significant tree patterns in carbohydrate sugar chains.
ECCB 2008: 167-173 |
10 | EE | Mineichi Kudo,
Atsuyoshi Nakamura,
Ichigaku Takigawa:
Classification by reflective convex hulls.
ICPR 2008: 1-4 |
9 | EE | Ichigaku Takigawa,
Hiroshi Mamitsuka:
Probabilistic path ranking based on adjacent pairwise coexpression for metabolic transcripts analysis.
Bioinformatics 24(2): 250-257 (2008) |
2007 |
8 | EE | Shanfeng Zhu,
Ichigaku Takigawa,
Shuqin Zhang,
Hiroshi Mamitsuka:
A Probabilistic Model for Clustering Text Documents with Multiple Fields.
ECIR 2007: 331-342 |
7 | EE | Motoki Shiga,
Ichigaku Takigawa,
Hiroshi Mamitsuka:
Annotating gene function by combining expression data with a modular gene network.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 468-478 |
6 | EE | Motoki Shiga,
Ichigaku Takigawa,
Hiroshi Mamitsuka:
A spectral clustering approach to optimally combining numericalvectors with a modular network.
KDD 2007: 647-656 |
2006 |
5 | EE | Raymond Wan,
Ichigaku Takigawa,
Hiroshi Mamitsuka,
Vo Ngoc Anh:
Combining Vector-Space and Word-Based Aspect Models for Passage Retrieval.
TREC 2006 |
4 | EE | Raymond Wan,
Ichigaku Takigawa,
Hiroshi Mamitsuka:
Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data.
VDMB 2006: 40-49 |
2005 |
3 | EE | Ichigaku Takigawa,
Mineichi Kudo,
Atsuyoshi Nakamura:
The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets.
MLDM 2005: 90-99 |
2004 |
2 | EE | Ichigaku Takigawa,
Mineichi Kudo,
Atsuyoshi Nakamura,
Jun Toyama:
On the Minimum l1-Norm Signal Recovery in Underdetermined Source Separation.
ICA 2004: 193-200 |
1 | EE | Akira Tanaka,
Ichigaku Takigawa,
Hideyuki Imai,
Mineichi Kudo,
Masaaki Miyakoshi:
Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces.
KES 2004: 1058-1064 |