Mineaki Ohishi

According to our database, Mineaki Ohishi authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

trec: An R package for trend estimation and classification to support integrated ecosystem assessment of the marine ecosystem and environmental factors.

Hiroko Kato Solvang, Mineaki Ohishi

SoftwareX, February, 2023

Additive Poisson regression via forced categorical covariates and generalized fused Lasso.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2021

Spatio-Temporal Adaptive Fused Lasso for Proportion Data.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2021

Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso.

Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2021

2020

Optimization of Generalized C_p Criterion for Selecting Ridge Parameters in Generalized Ridge Regression.

Mineaki Ohishi, Hirokazu Yanagihara, Hirofumi Wakaki

Proceedings of the Intelligent Decision Technologies, 2020

A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression.

Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2020