S. Hiwa

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Hybrid optimization using DIRECT, GA, and SQP for global exploration

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki, 2007, 2007 IEEE Congress on Evolutionary Computation.

Comparison of classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data

Tomoyuki Hiroyasu, M. Sugimoto, S. Hiwa, 2023, bioRxiv.

Short-term effects on brain functional network caused by focused-attention meditation revealed by Tucker3 clustering on graph theoretical metrics

Satoru Hiwa, Tomoyuki Hiroyasu, Hiroshi Yadohisa, 2019, bioRxiv.

Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles

T. Hiroyasu, M. Sugimoto, S. Hiwa, 2019, Scientific Reports.

Sparse feature selection method by Pareto-front exploration — Extraction of functional brain network and ROI for fMRI data

Satoru Hiwa, Tomoyuki Hiroyasu, Yuuki Kohri, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A Functional NIRS Study of Brain Functional Networks Induced by Social Time Coordination

Satoru Hiwa, Tomoyuki Hiroyasu, Megumi Mizuno, 2019, Brain sciences.

Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

Satoru Hiwa, Tomoyuki Hiroyasu, Shogo Obuchi, 2018, Comput. Intell. Neurosci..

Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles

Satoru Hiwa, Tomoyuki Hiroyasu, Masahiro Sugimoto, 2021, BMC Bioinformatics.

Tobit model analysis of mutations causing haemophilia

T. Hiroyasu, Kenji Aoki, S. Hiwa, 2018, Artificial Life and Robotics.

Performance Study of Double-Niched Evolutionary Algorithm on Multi-objective Knapsack Problems

Satoru Hiwa, Tomoyuki Hiroyasu, Ryoya Osawa, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Interpersonal brain synchronization during face-to-face economic exchange between acquainted dyads

Tomoyuki Hiroyasu, Kensuke Tanioka, S. Hiwa, 2021, bioRxiv.

214 The dynamic control of plural optimization methods for the global optimization

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki, 2006 .

Region-of-interest extraction of fMRI data using genetic algorithms

Satoru Hiwa, Tomoyuki Hiroyasu, Keisuke Hachisuka, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Functional brain network extraction using a genetic algorithm with a kick-out method

Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis

Satoru Hiwa, Tomoyuki Hiroyasu, Keisuke Hachisuka, 2016, Comput. Intell. Neurosci..

Demarcation Line Determination for Diagnosis of Gastric Cancer Disease Range Using Unsupervised Machine Learning in Magnifying Narrow-Band Imaging

H. Ichikawa, T. Yasuda, T. Hiroyasu, 2020, medRxiv.

Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles

Satoru Hiwa, Tomoyuki Hiroyasu, Masahiro Sugimoto, 2019, Scientific Reports.

Adaptive weight vector assignment method for MOEA/D

Satoru Hiwa, Tomoyuki Hiroyasu, Kei Harada, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm

Kensuke Tanioka, Yuki Furotani, S. Hiwa, 2021, bioRxiv.

An fNIRS Study of Brain State during Letter and Category Fluency Tasks

Hiroshi Furutani, Satoru Hiwa, Tomoyuki Hiroyasu, 2019, J. Robotics Netw. Artif. Life.

Validity of decision mode analysis on an ROI determination problem in multichannel fNIRS data

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki, 2017, Artificial Life and Robotics.

L-MolGAN: An improved implicit generative model for generation of large molecular graphs

Tomoyuki Hiroyasu, Y. Oe, S. Hiwa, 2021 .

Performance comparison of deep learning architectures for surgical instrument image removal in gastrointestinal endoscopic imaging

Tomoyuki Hiroyasu, Kensuke Tanioka, S. Hiwa, 2023, Artificial Life and Robotics.

Hemispheric Lateralization in Older Adults Who Habitually Play Darts: A Cross-Sectional Study Using Functional Near-Infrared Spectroscopy

Tomoyuki Hiroyasu, M. Takeda, Kensuke Tanioka, 2023, bioRxiv.