Hironori Fujisawa

According to our database, Hironori Fujisawa authored at least 20 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective.

Masaaki Takada, Hironori Fujisawa

CoRR, 2023

2021

Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery.

Kazuharu Harada, Hironori Fujisawa

Neurocomputing, 2021

2020

Independently Interpretable Lasso for Generalized Linear Models.

Masaaki Takada, Taiji Suzuki, Hironori Fujisawa

Neural Comput., 2020

Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion.

Takeyuki Sasai, Hironori Fujisawa

CoRR, 2020

Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis.

Kazuharu Harada, Hironori Fujisawa

CoRR, 2020

Robust estimation with Lasso when outputs are adversarially contaminated.

Takeyuki Sasai, Hironori Fujisawa

CoRR, 2020

Transfer Learning via ℓ₁ Regularization.

Masaaki Takada, Hironori Fujisawa

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

HMLasso: Lasso with High Missing Rate.

Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Sparse principal component regression for generalized linear models.

Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi

Comput. Stat. Data Anal., 2018

HMLasso: Lasso for High Dimensional and Highly Missing Data.

Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa

CoRR, 2018

Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables.

Masaaki Takada, Taiji Suzuki, Hironori Fujisawa

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Robust sparse Gaussian graphical modeling.

Kei Hirose, Hironori Fujisawa, Jun Sese

J. Multivar. Anal., 2017

Robust and Sparse Regression via <i>γ</i>-Divergence.

Takayuki Kawashima, Hironori Fujisawa

Entropy, 2017

2016

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

2015

Sparse principal component regression with adaptive loading.

Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi

Comput. Stat. Data Anal., 2015

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

Proceedings of the 2012 Fifth International Conference on Emerging Trends in Engineering and Technology, 2012

Fabrication of PZT/ZnO Core-Shell Nanowires by Metalorganic Chemical Vapor Deposition.

Hironori Fujisawa, Yuta Iwamoto, Seiji Nakashima, Masaru Shimizu

Proceedings of the 2012 Fifth International Conference on Emerging Trends in Engineering and Technology, 2012

2009

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

2006

Identification of biomarkers from mass spectrometry data using a "common" peak approach.

Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi

BMC Bioinform., 2006

2004

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