Shinto Eguchi - RankMe

50 papers B 1C 3Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Statistical Inference via Generative Models: Flow Matching and Causal Inference. CoRR Shinto Eguchi
2025	J	`jnl`	Implicit geometric regularization in flow matching via density weighted Stein operators. CoRR Shinto Eguchi
2025	J	`jnl`	Robust inference using density-powered Stein operators. CoRR Shinto Eguchi
2024	J	`jnl`	A Generalized Mean Approach for Distributed-PCA. CoRR Zhi-Yu Jou, Su-Yun Huang, Hung Hung, Shinto Eguchi
2024	J	`jnl`	Robust minimum divergence estimation in a spatial Poisson point process. Ecol. Informatics Yusuke Saigusa, Shinto Eguchi, Osamu Komori
2022	J	`jnl`	Active Learning by Query by Committee with Robust Divergences. CoRR Hideitsu Hino, Shinto Eguchi
2022	J	`jnl`	Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution. IEEE Trans. Signal Process. Hung Hung, Su-Yun Huang, Shinto Eguchi
2021	J	`jnl`	A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. Entropy Osamu Komori, Shinto Eguchi
2020	J	`jnl`	Sampling bias correction in species distribution models by quasi-linear Poisson point process. Ecol. Informatics Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Buntarou Kusumoto, Yasuhiro Kubota
2017	—	`conf`	Information Geometry of Predictor Functions in a Regression Model. GSI Shinto Eguchi, Katsuhiro Omae
2017	J	`jnl`	Quasi-linear score for capturing heterogeneous structure in biomarkers. BMC Bioinform. Katsuhiro Omae, Osamu Komori, Shinto Eguchi
2016	J	`jnl`	Robust Clustering Method in the Presence of Scattered Observations. Neural Comput. Akifumi Notsu, Shinto Eguchi
2015	J	`jnl`	Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning. Entropy Takashi Takenouchi, Osamu Komori, Shinto Eguchi
2015	—	`conf`	Path Connectedness on a Space of Probability Density Functions. GSI Shinto Eguchi, Osamu Komori
2014	J	`jnl`	Duality of Maximum Entropy and Minimum Divergence. Entropy Shinto Eguchi, Osamu Komori, Atsumi Ohara
2014	J	`jnl`	Spontaneous Clustering via Minimum Gamma-Divergence. Neural Comput. Akifumi Notsu, Osamu Komori, Shinto Eguchi
2013	J	`jnl`	Density estimation with minimization of U-divergence. Mach. Learn. Kanta Naito, Shinto Eguchi
2013	—	`conf`	Geometry on Positive Definite Matrices Induced from V-Potential Function. GSI Atsumi Ohara, Shinto Eguchi
2013	J	`jnl`	Group Invariance of Information Geometry on Entropy Atsumi Ohara, Shinto Eguchi
2013	J	`jnl`	Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data. Comput. Math. Methods Medicine Osamu Komori, Mari Pritchard, Shinto Eguchi
2013	J	`jnl`	Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation. IEEE J. Sel. Top. Signal Process. Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi
2013	J	`jnl`	Statistical Analysis of Biomarkers for Personalized Medicine. Comput. Math. Methods Medicine Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao
2012	J	`jnl`	An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. Neural Comput. Takashi Takenouchi, Osamu Komori, Shinto Eguchi
2011	J	`jnl`	Boosting Learning Algorithm for Pattern Recognition and Beyond. IEICE Trans. Inf. Syst. Osamu Komori, Shinto Eguchi
2011	J	`jnl`	Projective Power Entropy and Maximum Tsallis Entropy Distributions. Entropy Shinto Eguchi, Osamu Komori, Shogo Kato
2010	J	`jnl`	A boosting method for maximizing the partial area under the ROC curve. BMC Bioinform. Osamu Komori, Shinto Eguchi
2010	J	`jnl`	Entropy and Divergence Associated with Power Function and the Statistical Application. Entropy Shinto Eguchi, Shogo Kato
2010	J	`jnl`	Robust QTL analysis by minimum beta-divergence method. Int. J. Data Min. Bioinform. Md. Nurul Haque Mollah, Shinto Eguchi
2010	J	`jnl`	Robust extraction of local structures by the minimum beta-divergence method. Neural Networks Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi
2009	J	`jnl`	Robust Kernel Principal Component Analysis. Neural Comput. Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
2009	J	`jnl`	SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. BMC Bioinform. Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi, Takako Mochizuki, Takayuki Sakaguchi, Toshihiko Shiroishi, Nori Kurata
2008	J	`jnl`	Boosting Method for Local Learning in Statistical Pattern Recognition. Neural Comput. Masanori Kawakita, Shinto Eguchi
2008	J	`jnl`	Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
2008	—	`conf`	Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. BIBM Md. Nurul Haque Mollah, Shinto Eguchi
2007	J	`jnl`	GroupAdaBoost: Accurate Prediction and Selection of Important Genes. Inf. Media Technol. Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
2007	J	`jnl`	Robust Loss Functions for Boosting. Neural Comput. Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
2007	J	`jnl`	Robust Prewhitening for ICA by Minimizing Neural Process. Lett. Md. Nurul Haque Mollah, Shinto Eguchi, Mihoko Minami
2006	J	`jnl`	Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. Neural Comput. Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi
2006	J	`jnl`	Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinform. Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi
2005	C	`conf`	GroupAdaBoost for Selecting Important Genes. BIBE Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
2005	C	`conf`	Spatio-temporal contextual image classification based on Spatial AdaBoost. IGARSS Ryuei Nishii, Shinto Eguchi
2005	J	`jnl`	Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE Trans. Geosci. Remote. Sens. Ryuei Nishii, Shinto Eguchi
2004	J	`jnl`	Genotyping of single nucleotide polymorphism using model-based clustering. Bioinform. Hironori Fujisawa, Shinto Eguchi, Masaru Ushijima, Satoshi Miyata, Yoshio Miki, T. Muto, Masaaki Matsuura
2004	J	`jnl`	Information Geometry of U-Boost and Bregman Divergence. Neural Comput. Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
2004	J	`jnl`	Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. J. Mach. Learn. Res. Isao Higuchi, Shinto Eguchi
2004	J	`jnl`	Robustifying AdaBoost by Adding the Naive Error Rate. Neural Comput. Takashi Takenouchi, Shinto Eguchi
2004	C	`conf`	Supervised image classification based on adaboost with contextual weak classifiers. IGARSS Ryuei Nishii, Shinto Eguchi
2004	B	`conf`	The Most Robust Loss Function for Boosting. ICONIP Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
2002	J	`jnl`	Robust Blind Source Separation by Beta Divergence. Neural Comput. Mihoko Minami, Shinto Eguchi
1998	J	`jnl`	The Influence Function of Principal Component Analysis by Self-Organizing Rule. Neural Comput. Isao Higuchi, Shinto Eguchi