T. Miyoshi, K. Tanioka, S. Yamamoto, H. Yadohisa, T. Hiroyasu, S. Hiwa, "Revealing changes in brain functional networks caused by focused-attention meditation using Tucker3 clustering," Frontiers in Human Neuroscience, Volume 13, Article 473, doi:10.3389/fnhum.2019.00473 (Jan 2020).
T. Yasuda, T. Hiroyasu, S. Hiwa, Y. Okada, S. Hayash, Y. Nakahata, Y. Yasuda, T. Omatsu, A. Obora, T. Kojima, H. Ichikawa, N. Yagi, "Potential of Automatic Diagnosis System with Linked Color Imaging for Diagnosis of Helicobacter Pylori Infection," Digestive Endoscopy, doi: 10.1111/den.13509 (Aug 2019).
A. Fukushima, M. Sugimoto, S. Hiwa and T. Hiroyasu, "Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles," Scientific Reports, Volume 9, Issue 1, 1822; doi:10.1038/s41598-018-38441-2 (Feb 2019).
M. Mizuno, T. Hiroyasu and S. Hiwa, "A Functional NIRS Study of Brain Functional Networks Induced by Social Time Coordination," Brain Sciences, Volume 9, Issue 2, 43; doi:10.3390/brainsci9020043 (Feb 2019).
N. Okumura, K. Kobayashi, N. Ishida, T. Kagami, S. Hiwa, T. Hiroyasu and N. Koizumi, "Development of Cell Analysis Software to Evaluate Fibroblastic Changes in Cultivated Corneal Endothelial Cells for Quality Control," Cornea, Volume 37, Issue 12, Pages 1572-1578 (Dec 2018).
S. Hiwa, T. Katayama and T. Hiroyasu, "Functional near‐infrared spectroscopy study of the neural correlates between auditory environments and intellectual work performance," Brain and Behavior, e01104, doi:10.1002/brb3.1104 (Sep 2018).
Q. Ma, Y. Zhang, K. Yamamori, H. Furutani, S. Hiwa and T. Hiroyasu, "Markov chain analysis of evolutionary algorithms for monotonic functions," Artificial Life and Robotics, doi:10.1007/s10015-018-0463-9 (Sep 2018).
K. Aoki, S. Hiwa, H. Furutani and T. Hiroyasu, "Tobit model analysis of mutations causing haemophilia," Artificial Life and Robotics, Volume 23, Issue 3, pp 287–291, doi:10.1007/s10015-018-0431-4 (Sep 2018).
S. Hiwa, S. Obuchi and T. Hiroyasu, "Automated extraction of human functional brain network properties associated with working memory load through a machine learning-based feature selection algorithm," Computational Intelligence and Neuroscience, vol. 2018, Article ID 4835676, 12 pages, 2018. doi:10.1155/2018/4835676 (Apr 2018).
N. Okumura, N. Ishida, K. Kakutani, A. Hongo, S. Hiwa, T. Hiroyasu and N. Koizumi, " "Development of Cell Analysis Software for Cultivated Corneal Endothelial Cells," Cornea, Volume 36, Issue 11, Pages 1387-1394 (Nov 2017).
S. Hiwa, M. Miki and T. Hiroyasu, "Validity of decision mode analysis on an ROI determination problem in multichannel fNIRS data" Artificial Life and Robotics, 2017, Volume 22, Issue 3, pp 336-345, doi:10.1007/s10015-017-0362-5 (Sep 2017).
S. Hiwa, K. Hanawa, R. Tamura, K. Hachisuka and T. Hiroyasu, "Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis," Computational Intelligence and Neuroscience, vol. 2016, Article ID 1841945, 9 pages, 2016. doi:10.1155/2016/1841945 (Oct 2016).
S. Hiwa, M. Nishioka, T. Hiroyasu and M. Miki, "Novel Search Scheme for Multi-Objective Evolutionary Algorithms to Obtain Well-Approximated and Widely Spread Pareto Solutions," Swarm and Evolutionary Computation, Volume 22, Pages 30-46, ISSN 2210-6502, doi:10.1016/j.swevo.2015.01.004. (June 2015).
S. Hiwa, T. Hiroyasu and M. Miki, "Design Mode Analysis of Pareto Solution Set for Decision-Making Support," Journal of Applied Mathematics, vol. 2014, Article ID 520209, 15 pages, doi:10.1155/2014/520209 (Nov 2014).
Refereed Conference Papers
S. Hiwa and T.Hiroyasu, "Manifold learning on time-varying functional connectivity matrices: A case study on meditation data," The 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy (June 2019).
L. Perino, A. Fujii, T. Waku, A. Kobayashi, S. Hiwa and T.Hiroyasu, "Solution exploration using multi-objective genetic algorithm for determining experiment candidate," Proceedings of the 2018 conference on Genetic and Evolutionary Computation (GECCO 2018), pp. 1584-1589, ACM (July 2018).
S. Hiwa and T.Hiroyasu, "Evolutionary optimization approach to explore the functional network organization during meditation," The 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore (June 2018).
S. Hiwa, M.Iizuka and T.Hiroyasu, "Characterizing the meditative state based on functional connectivity and low-frequency fluctuation," The 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver, Canada (June 2017).
T. Hiroyasu and S. Hiwa, "Brain functional state analysis of mindfulness using graph theory and functional connectivity," AAAI Spring Symposium - Technical Report, vol. SS-17-01 - SS-17-08, pp. 675–680, 2017 (Mar 2017).
S. Hiwa, Y. Kohri, K. Hachisuka and T. Hiroyasu, "Region-of-Interest Extraction of fMRI data using Genetic Algorithms." 2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016), Athens, Greece, (Dec 2016).
K. Harada, M. Tanaka, S. Hiwa, H. Zille, S. Mostaghim and T. Hiroyasu, "Functional brain network extraction using a genetic algorithm with a kick-out method." Evolutionary Computation, CEC 2016. IEEE Congress on, Vancouver, Canada (Jul 2016).
S. Hiwa, T. Hiroyasu, H. Yokouchi, M. Miki and M. Nishioka, "Reference point-based search scheme for multiobjective evolutionary algorithm," in: Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on, pp. 1666--1672 (Nov 2012).
S. Hiwa, T. Hiroyasu and M. Miki, "Hybrid optimization using DIRECT, GA, and SQP for global exploration," in: Evolutionary Computation, CEC 2007. IEEE Congress on, pp.1709--1716 (Sep 2007).
M. Miki, S. Hiwa and T. Hiroyasu, "Simulated Annealing using an Adaptive Search Vector," Cybernetics and Intelligent Systems, 2006 IEEE Conference on, pp.1--6 (Jun 2006).
Non-Refereed Conference Papers
S. Hiwa and T. Hiroyasu, "Detecting meditative states through meta-state matching with time-varying functional connectivity matrices," 2017 Neuroscience Meeting Planner. Washington, D.C.: Society for Neuroscience (Nov 2017).
S. Hiwa, M. Iizuka and T. Hiroyasu, "Graph theoretical analysis of functional connectivity network during breath-counting mindfulness meditation," 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience (Nov 2016).