Satoru Hiwa

According to our database, Satoru Hiwa authored at least 27 papers between 2007 and 2023.

Collaborative distances:

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

2023

Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis.

Shinsei Isojima, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa

Int. J. Intell. Transp. Syst. Res., December, 2023

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

Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu

Artif. Life Robotics, May, 2023

Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset.

Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu

CoRR, 2023

Generating corneal panoramic images from contact specular microscope images.

Yusuke Nagira, Yuzuha Hara, Satoru Hiwa, Naoki Okumura, Noriko Koizumi, Tomoyuki Hiroyasu

CoRR, 2023

2022

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

Kensuke Tanioka, Yuki Furotani, Satoru Hiwa

Entropy, 2022

Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging.

Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu

CoRR, 2022

Visualization, Clustering, and Graph Generation of Optimization Search Trajectories for Evolutionary Computation Through Topological Data Analysis: Application of the Mapper.

Arisa Toda, Satoru Hiwa, Kensuke Tanioka, Tomoyuki Hiroyasu

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

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

Arika Fukushima, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu

BMC Bioinform., 2021

2020

Markov chain analysis of evolutionary algorithms on OneMax function - From coupon collector's problem to (1 + 1) EA.

Yu-an Zhang, Xiaofeng Qin, Qinglian Ma, Minghao Zhao, Satoru Hiwa, Tomoyuki Hiroyasu, Hiroshi Furutani

Theor. Comput. Sci., 2020

2019

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

Akane Onishi, Hiroshi Furutani, Tomoyuki Hiroyasu, Satoru Hiwa

J. Robotics Netw. Artif. Life, 2019

Unified Approach to (1 + 1) Evolutionary Algorithm on Discrete Linear Functions.

Kenji Aoki, Makoto Sakamoto, Hiroshi Furutani, Satoru Hiwa, Tomoyuki Hiroyasu

J. Robotics Netw. Artif. Life, 2019

Markov chain analysis of evolutionary algorithms for monotonic functions.

Qinlian Ma, Yu-an Zhang, Kunihito Yamamori, Hiroshi Furutani, Satoru Hiwa, Tomoyuki Hiroyasu

Artif. Life Robotics, 2019

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

Ryoya Osawa, Shinya Watanabe, Tomoyuki Hiroyasu, Satoru Hiwa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

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

Satoru Hiwa, Shogo Obuchi, Tomoyuki Hiroyasu

Comput. Intell. Neurosci., 2018

Tobit model analysis of mutations causing haemophilia.

Kenji Aoki, Satoru Hiwa, Hiroshi Furutani, Tomoyuki Hiroyasu

Artif. Life Robotics, 2018

Solution exploration using multi-objective genetic algorithm for determining experiment candidate.

Lorenzo Perino, Akihiro Fujii, Tsuyoshi Waku, Akira Kobayashi, Satoru Hiwa, Tomoyuki Hiroyasu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

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

Satoru Hiwa, Mitsunori Miki, Tomoyuki Hiroyasu

Artif. Life Robotics, 2017

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

Tomoyuki Hiroyasu, Yuuki Kohri, Satoru Hiwa

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Adaptive weight vector assignment method for MOEA/D.

Kei Harada, Satoru Hiwa, Tomoyuki Hiroyasu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Brain Functional State Analysis of Mindfulness Using Graph Theory and Functional Connectivity.

Tomoyuki Hiroyasu, Satoru Hiwa

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

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

Satoru Hiwa, Kenya Hanawa, Ryota Tamura, Keisuke Hachisuka, Tomoyuki Hiroyasu

Comput. Intell. Neurosci., 2016

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

Satoru Hiwa, Yuuki Kohri, Keisuke Hachisuka, Tomoyuki Hiroyasu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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

Kei Harada, Misato Tanaka, Satoru Hiwa, Heiner Zille, Sanaz Mostaghim, Tomoyuki Hiroyasu

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Novel search scheme for multi-objective evolutionary algorithms to obtain well-approximated and widely spread Pareto solutions.

Satoru Hiwa, Masashi Nishioka, Tomoyuki Hiroyasu, Mitsunori Miki

Swarm Evol. Comput., 2015

2014

Design Mode Analysis of Pareto Solution Set for Decision-Making Support.

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki

J. Appl. Math., 2014

2012

Reference point-based search scheme for multiobjective evolutionary algorithm.

Satoru Hiwa, Tomoyuki Hiroyasu, Hisatake Yokouchi, Mitsunori Miki, Masashi Nishioka

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2007

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

Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki

Proceedings of the IEEE Congress on Evolutionary Computation, 2007