Genotyping of single nucleotide polymorphism using model-based clustering. - Hironori Fujisawa; Shinto Eguchi; Masaru Ushijima; Satoshi Miyata; Yoshio Miki; T. Muto; Masaaki Matsuura (Bioinform., 2004)

Identification of biomarkers from mass spectrometry data using a "common" peak approach. - Tadayoshi Fushiki; Hironori Fujisawa; Shinto Eguchi (BMC Bioinform., 2006)

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. - Hironori Fujisawa; Youko Horiuchi; Yoshiaki Harushima; Toyoyuki Takada; Shinto Eguchi; Takako Mochizuki; Takayuki Sakaguchi; Toshihiko Shiroishi; Nori Kurata (BMC Bioinform., 2009)

Fabrication of PZT/ZnO Core-Shell Nanowires by Metalorganic Chemical Vapor Deposition. - Hironori Fujisawa; Yuta Iwamoto; Seiji Nakashima; Masaru Shimizu (ICETET, 2012)

Preparation and Characterization of High Quality Lead-free BiFeO3 Thin Films by Sputtering Process. - Seiji Nakashima; Yusuke Takada; Taiki Ito; Syota Seto; Hironori Fujisawa; Masafumi Kobune; Masaru Shimizu (ICETET, 2012)

Sparse principal component regression with adaptive loading. - Shuichi Kawano; Hironori Fujisawa; Toyoyuki Takada; Toshihiko Shiroishi (Comput. Stat. Data Anal., 2015)

On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation. - Ting-Li Chen; Hironori Fujisawa; Su-Yun Huang; Chii-Ruey Hwang (J. Multivar. Anal., 2016)

Robust and Sparse Regression via γ-Divergence. - Takayuki Kawashima; Hironori Fujisawa (Entropy, 2017)

Robust sparse Gaussian graphical modeling. - Kei Hirose; Hironori Fujisawa; Jun Sese (J. Multivar. Anal., 2017)

Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. - Masaaki Takada; Taiji Suzuki; Hironori Fujisawa (AISTATS, 2018)

HMLasso: Lasso for High Dimensional and Highly Missing Data. - Masaaki Takada; Hironori Fujisawa; Takeichiro Nishikawa (CoRR, 2018)

Sparse principal component regression for generalized linear models. - Shuichi Kawano; Hironori Fujisawa; Toyoyuki Takada; Toshihiko Shiroishi (Comput. Stat. Data Anal., 2018)

HMLasso: Lasso with High Missing Rate. - Masaaki Takada; Hironori Fujisawa; Takeichiro Nishikawa (IJCAI, 2019)

Transfer Learning via ℓ1 Regularization. - Masaaki Takada; Hironori Fujisawa (NeurIPS, 2020)

Robust estimation with Lasso when outputs are adversarially contaminated. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2020)

Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis. - Kazuharu Harada; Hironori Fujisawa (CoRR, 2020)

Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2020)

Independently Interpretable Lasso for Generalized Linear Models. - Masaaki Takada; Taiji Suzuki; Hironori Fujisawa (Neural Comput., 2020)

Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery. - Kazuharu Harada; Hironori Fujisawa (Neurocomputing, 2021)

Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective. - Masaaki Takada; Hironori Fujisawa (CoRR, 2023)

Density Ratio Estimation with Doubly Strong Robustness. - Ryosuke Nagumo; Hironori Fujisawa (ICML, 2024)

Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2024)

Sparse Modal Regression with Mode-Invariant Skew Noise. - Kazuki Koyama; Takayuki Kawashima; Hironori Fujisawa (Trans. Mach. Learn. Res., 2024)

Robust Parameter Estimation of Non-Linear State Space Models Using a Divergence-Based Estimator. - Haruya Ishizuka; Hironori Fujisawa (IEEE Trans. Signal Process., 2025)