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 | 2013 | |
|---|---|---|
| j23 |      | Osamu Komori, Mari Pritchard, Shinto Eguchi: Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data. Comp. Math. Methods in Medicine 2013 (2013) |
| j22 | | Kanta Naito, Shinto Eguchi: Density estimation with minimization of U-divergence. Machine Learning 90(1): 29-57 (2013) |
| 2012 | ||
| j21 | | Takashi Takenouchi, Osamu Komori, Shinto Eguchi: An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. Neural Computation 24(10): 2789-2824 (2012) |
| 2011 | ||
| j20 | | Shinto Eguchi, Osamu Komori, Shogo Kato: Projective Power Entropy and Maximum Tsallis Entropy Distributions. Entropy 13(10): 1746-1764 (2011) |
| j19 | | Osamu Komori, Shinto Eguchi: Boosting Learning Algorithm for Pattern Recognition and Beyond. IEICE Transactions 94-D(10): 1863-1869 (2011) |
| 2010 | ||
| j18 | | Osamu Komori, Shinto Eguchi: A boosting method for maximizing the partial area under the ROC curve. BMC Bioinformatics 11: 314 (2010) |
| j17 | | Shinto Eguchi, Shogo Kato: Entropy and Divergence Associated with Power Function and the Statistical Application. Entropy 12(2): 262-274 (2010) |
| j16 | | Md. Nurul Haque Mollah, Shinto Eguchi: Robust QTL analysis by minimum beta-divergence method. IJDMB 4(4): 471-485 (2010) |
| j15 | | Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi: Robust extraction of local structures by the minimum beta-divergence method. Neural Networks 23(2): 226-238 (2010) |
| 2009 | ||
| j14 | | Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi, Takako Mochizuki, Takayuki Sakaguchi, Toshihiko Shiroishi, Nori Kurata: SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. BMC Bioinformatics 10 (2009) |
| j13 | | Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi: Robust Kernel Principal Component Analysis. Neural Computation 21(11): 3179-3213 (2009) |
| 2008 | ||
| j12 | | Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori: Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Computation 20(6): 1596-1630 (2008) |
| j11 | | Masanori Kawakita, Shinto Eguchi: Boosting Method for Local Learning in Statistical Pattern Recognition. Neural Computation 20(11): 2792-2838 (2008) |
| c4 | | Md. Nurul Haque Mollah, Shinto Eguchi: Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. BIBM 2008: 115-120 |
| 2007 | ||
| j10 | | Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata: Robust Loss Functions for Boosting. Neural Computation 19(8): 2183-2244 (2007) |
| j9 | | Md. Nurul Haque Mollah, Shinto Eguchi, Mihoko Minami: Robust Prewhitening for ICA by Minimizing beta-Divergence and Its Application to FastICA. Neural Processing Letters 25(2): 91-110 (2007) |
| 2006 | ||
| j8 | | Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi: Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinformatics 7: 358 (2006) |
| j7 | | Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi: Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. Neural Computation 18(1): 166-190 (2006) |
| 2005 | ||
| j6 | | Ryuei Nishii, Shinto Eguchi: Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE T. Geoscience and Remote Sensing 43(11): 2547-2554 (2005) |
| c3 | | Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi: GroupAdaBoost for Selecting Important Genes. BIBE 2005: 218-221 |
| c2 | | Ryuei Nishii, Shinto Eguchi: Spatio-temporal contextual image classification based on Spatial AdaBoost. IGARSS 2005: 4 |
| 2004 | ||
| j5 | | Isao Higuchi, Shinto Eguchi: Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. Journal of Machine Learning Research 5: 453-471 (2004) |
| j4 | | Takashi Takenouchi, Shinto Eguchi: Robustifying AdaBoost by Adding the Naive Error Rate. Neural Computation 16(4): 767-787 (2004) |
| j3 | | Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi: Information Geometry of U-Boost and Bregman Divergence. Neural Computation 16(7): 1437-1481 (2004) |
| c1 | | Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata: The Most Robust Loss Function for Boosting. ICONIP 2004: 496-501 |
| 2002 | ||
| j2 | | Mihoko Minami, Shinto Eguchi: Robust Blind Source Separation by Beta Divergence. Neural Computation 14(8): 1859-1886 (2002) |
| 1998 | ||
| j1 | | Isao Higuchi, Shinto Eguchi: The Influence Function of Principal Component Analysis by Self-Organizing Rule. Neural Computation 10(6): 1435-1444 (1998) |
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