2009 |
21 | EE | Hisashi Kashima,
Satoshi Oyama,
Yoshihiro Yamanishi,
Koji Tsuda:
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.
PAKDD 2009: 1030-1037 |
2008 |
20 | EE | Shohei Hido,
Yuta Tsuboi,
Hisashi Kashima,
Masashi Sugiyama,
Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation.
ICDM 2008: 223-232 |
19 | EE | Yuta Tsuboi,
Hisashi Kashima:
A new objective function for sequence labeling.
ICPR 2008: 1-4 |
18 | EE | Hisashi Kashima,
Jianying Hu,
Bonnie K. Ray,
Moninder Singh:
K-means clustering of proportional data using L1 distance.
ICPR 2008: 1-4 |
17 | EE | Hisashi Kashima,
Kazutaka Yamasaki,
Akihiro Inokuchi,
Hiroto Saigo:
Regression with interval output values.
ICPR 2008: 1-4 |
16 | EE | Shohei Hido,
Tsuyoshi Idé,
Hisashi Kashima,
Harunobu Kubo,
Hirofumi Matsuzawa:
Unsupervised Change Analysis Using Supervised Learning.
PAKDD 2008: 148-159 |
15 | EE | Shohei Hido,
Hisashi Kashima:
Roughly Balanced Bagging for Imbalanced Data.
SDM 2008: 143-152 |
14 | EE | Yuta Tsuboi,
Hisashi Kashima,
Shohei Hido,
Steffen Bickel,
Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
SDM 2008: 443-454 |
13 | EE | Tsuyoshi Kato,
Hisashi Kashima,
Masashi Sugiyama:
Integration of Multiple Networks for Robust Label Propagation.
SDM 2008: 716-726 |
2007 |
12 | EE | Masashi Sugiyama,
Shinichi Nakajima,
Hisashi Kashima,
Paul Von Bünau,
Motoaki Kawanabe:
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.
NIPS 2007 |
11 | EE | Tsuyoshi Kato,
Hisashi Kashima,
Masashi Sugiyama,
Kiyoshi Asai:
Multi-Task Learning via Conic Programming.
NIPS 2007 |
10 | EE | Hisashi Kashima:
Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk.
IEICE Transactions 90-D(12): 2043-2052 (2007) |
2006 |
9 | EE | Hisashi Kashima,
Naoki Abe:
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.
ICDM 2006: 340-349 |
8 | EE | Hisashi Kashima:
Risk-Sensitive Learning via Expected Shortfall Minimization.
SDM 2006 |
2005 |
7 | EE | Hisashi Kashima,
Tadashi Tsumura,
Tsuyoshi Idé,
Takahide Nogayama,
Ryo Hirade,
Hiroaki Etoh,
Takeshi Fukuda:
Network-Based Problem Detection for Distributed Systems.
ICDE 2005: 978-989 |
2004 |
6 | EE | Hisashi Kashima,
Yuta Tsuboi:
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs.
ICML 2004 |
5 | EE | Tsuyoshi Idé,
Hisashi Kashima:
Eigenspace-based anomaly detection in computer systems.
KDD 2004: 440-449 |
4 | | Tetsuo Shibuya,
Hisashi Kashima,
Akihiko Konagaya:
Efficient filtering methods for clustering cDNAs with spliced sequence alignment.
Bioinformatics 20(1): 29-39 (2004) |
2003 |
3 | EE | Akihiro Inokuchi,
Hisashi Kashima:
Mining Significant Pairs of Patterns from Graph Structures with Class Labels.
ICDM 2003: 83-90 |
2 | | Hisashi Kashima,
Koji Tsuda,
Akihiro Inokuchi:
Marginalized Kernels Between Labeled Graphs.
ICML 2003: 321-328 |
2002 |
1 | | Hisashi Kashima,
Teruo Koyanagi:
Kernels for Semi-Structured Data.
ICML 2002: 291-298 |