Hybrid optimization using DIRECT, GA, and SQP for global exploration. - Satoru Hiwa; Tomoyuki Hiroyasu; Mitsunori Miki (IEEE Congress on Evolutionary Computation, 2007)

Reference point-based search scheme for multiobjective evolutionary algorithm. - Satoru Hiwa; Tomoyuki Hiroyasu; Hisatake Yokouchi; Mitsunori Miki; Masashi Nishioka (SCIS&ISIS, 2012)

Design Mode Analysis of Pareto Solution Set for Decision-Making Support. - Satoru Hiwa; Tomoyuki Hiroyasu; Mitsunori Miki (J. Appl. Math., 2014)

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)

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 (CEC, 2016)

Region-of-interest extraction of fMRI data using genetic algorithms. - Satoru Hiwa; Yuuki Kohri; Keisuke Hachisuka; Tomoyuki Hiroyasu (SSCI, 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)

Brain Functional State Analysis of Mindfulness Using Graph Theory and Functional Connectivity. - Tomoyuki Hiroyasu; Satoru Hiwa (AAAI Spring Symposia, 2017)

Adaptive weight vector assignment method for MOEA/D. - Kei Harada; Satoru Hiwa; Tomoyuki Hiroyasu (SSCI, 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 (SSCI, 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)

Solution exploration using multi-objective genetic algorithm for determining experiment candidate. - Lorenzo Perino; Akihiro Fujii; Tsuyoshi Waku; Akira Kobayashi; Satoru Hiwa; Tomoyuki Hiroyasu (GECCO (Companion), 2018)

Tobit model analysis of mutations causing haemophilia. - Kenji Aoki 003; Satoru Hiwa; Hiroshi Furutani; Tomoyuki Hiroyasu (Artif. Life Robotics, 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)

Performance Study of Double-Niched Evolutionary Algorithm on Multi-objective Knapsack Problems. - Ryoya Osawa; Shinya Watanabe; Tomoyuki Hiroyasu; Satoru Hiwa (SSCI, 2019)

Markov chain analysis of evolutionary algorithms for monotonic functions. - Qinlian Ma; Yu-an Zhang 026; Kunihito Yamamori; Hiroshi Furutani; Satoru Hiwa; Tomoyuki Hiroyasu (Artif. Life Robotics, 2019)

Unified Approach to (1 + 1) Evolutionary Algorithm on Discrete Linear Functions. - Kenji Aoki 003; Makoto Sakamoto; Hiroshi Furutani; Satoru Hiwa; Tomoyuki Hiroyasu (J. Robotics Netw. Artif. Life, 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)

Markov chain analysis of evolutionary algorithms on OneMax function - From coupon collector's problem to (1 + 1) EA. - Yu-an Zhang 026; Xiaofeng Qin; Qinglian Ma; Minghao Zhao 001; Satoru Hiwa; Tomoyuki Hiroyasu; Hiroshi Furutani (Theor. Comput. Sci., 2020)

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)

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 (CEC, 2022)

Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging. - Taira Watanabe; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (CoRR, 2022)

Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm. - Kensuke Tanioka; Yuki Furotani; Satoru Hiwa (Entropy, 2022)

Generating corneal panoramic images from contact specular microscope images. - Yusuke Nagira; Yuzuha Hara; Satoru Hiwa; Naoki Okumura; Noriko Koizumi; Tomoyuki Hiroyasu (CoRR, 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)

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, 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., 2023)

Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. - Tomoya Hömberg; Sanaz Mostaghim; Satoru Hiwa; Tomoyuki Hiroyasu (CEC, 2024)

Sparse Projected Maximum Entropy Fuzzy c-Means. - Yuan He; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (FUZZ, 2024)

Estimation of a treatment effect based on a modified covariates method with L0 norm. - Kensuke Tanioka; Kaoru Okuda; Satoru Hiwa; Tomoyuki Hiroyasu (Artif. Life Robotics, 2024)