CiNii（NII学術情報ナビゲータ) データベース(星野孝総)

CiNii（NII学術情報ナビゲータ) データベース(Yukinobu HOSHINO)

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High School:
SAKAI Technology high school
Electronic course

Undergraduate:
Westmar University in Le Mars, Iowa, United States.
College of Natural Science
BA degree of Double majors
Majors 1 : Computer Science (Math Track)
Majors 2 : Mathematics
Minor : Physics

Graduate School:
Ritsumeikan University
Department Computer science and engineering

Current Research Title::Research of Intelligent system and Machine Learning based on SOFT computing for SoC.

The main topic is the attempt to fuse fuzzy logic and machine learning systems (Soft-Computing) onto a chip (SoC). An SoC is an integrated circuit (IC) that consolidates all the components of a computer or other electronic system into a single chip. The concept of soft computing emerges from the empirical knowledge of a thinking human being in handling various cases. In our research, we are developing methods to emulate human-like behaviors with machine learning systems. Machine learning systems that mimic human movements and actions can be implemented on chips. System design for machine learning is a specialized focus within the Intelligent Systems Research Area. The evolution of computers has brought convenience to our lives. Integrating fuzzy logic and machine learning on a single chip (SoC) presents an intriguing approach to intelligent system design. Fuzzy logic is a mathematical framework for representing and manipulating uncertain or inaccurate information, while machine learning is a method of teaching computers to perform tasks without explicit programming. By combining these two disciplines, we can create intelligent systems capable of handling uncertain or inaccurate data and making decisions based on that information, mirroring human thought processes. One potential application of this fusion of fuzzy logic and machine learning in SoCs is in the domain of human-like movement and behavior. Embedding fuzzy logic and machine learning algorithms into chips holds the potential to create intelligent systems capable of moving and behaving like humans, with applications in robotics and intelligent control systems. Designing machine learning systems for SoCs is a complex and challenging task, requiring a deep understanding of both fuzzy logic and machine learning. It also demands the ability to integrate these disciplines into cohesive and efficient systems. Additionally, careful consideration of constraints, such as limited computational resources and power consumption, is crucial. Overall, the fusion of fuzzy logic and machine learning in SoCs has the potential to significantly advance the field of intelligent systems, opening new possibilities for human-like movement and behavior across various applications. However, it is important to approach this topic with careful consideration and expertise to achieve successful and effective results. Modern home appliances commonly include intelligent systems, such as fuzzy and neural networks. Industrial machines already incorporate intelligent systems, including machine learning, fuzzy logic, and genetic algorithms. In many cases, the intelligent systems of machines and robots can learn human behavior to support humans. These phenomena are complex and involve ambiguous information. Our lab's work focuses on developing methods for machine learning systems to emulate human-like actions on their SoC. I graduated from Westmar University in the United States with a bachelor's degree in 1995 and received master's and doctoral degrees from Ritsumeikan University in 1997 and 2002. Since April 2002, I worked as a regular lecturer at Ritsumeikan University, and since April 2006, I have been working as an associate professor at Kochi University of Technology.

学会誌論文／JournalPaper
≪査読付き/Reviewed≫ 57編

Yukinobu Hoshino, Yuka Nishiyama, Toshimi Yamamoto, Yuki Shinomiya, Namal Rathnayake, Linh Dang:
Human-Inspired Similarity Control System: Enhancing Line-Following Robot Perception,
Applied Soft Computing Journal (2024) (Accepted!!)

Yukinobu Hoshino, Masahiro Shimasaki, Namal Rathnayake, Dang Tuan Linh:
Performance Verification and Latency Time Evaluation of Hardware Image Processing Module
for Appearance Inspection Systems using FPGA,
Journal of Real-Time Image Processing, Volume 21, article number 20, Springer (2024)
doi: 10.1007/s11554-023-01392-7

Lakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake:
Performance of machine learning models to forecast PM10 levels,
MethodsX, Volume 12, 102557, ELSEVIER (2024)
doi: 10.1016/j.mex.2024.102557

Lakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake:
Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10,
Journal of Hazardous Materials Advances, 100395, ScienceDirect Elsevier (2023)
doi: 10.1016/j.hazadv.2023.100395

Namal Bandara Rathnayake，Upaka Rathnayake，Imiya Chathunika，Tuan Linh Dang，Yukinobu Hoshino:
Cascaded-ANFIS to simulate nonlinear rainfall-runoff relationship, Applied Soft Computing Journal (2023)
doi: 10.1016/j.asoc.2023.110722

Mampitiya, Lakindu, Namal Rathnayake, Lee P. Leon, Vishwanadham Mandala, Hazi Md. Azamathulla,
Sherly Shelton, Yukinobu Hoshino, and Upaka Rathnayake:
Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka,
Environments 10, No. 8: 141, MDPI (2023)
doi: 10.3390/environments10080141

Namal Rathnayake, Akira Miyazaki, Tuan Linh Dang, Yukinobu Hoshino:
Age classification of rice seeds in Japan using gradient boosting and ANFIS algorithms,
Sensors, Volume 23, Issue 5, MDPI(2023)
doi: 10.3390/s23052828

Namal Rathnayake，Upaka Rathnayake，Tuan Linh Dang，Yukinobu Hoshino:
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka,
PLOS ONE, Public Library of Science(2023)
doi: 10.1371/journal.pone.0282847

Madhawa Herath, Tharaka Jayathilaka, Yukinobu Hoshino, Upaka Rathnayake:
Deep machine learning-based water level prediction model for Colombo flood detention area,
Applied Sciences, MDPI(2023)
doi: 10.3390/app13042194

Namal Bandara Rathnayake，Upaka Rathnayake，Imiya Chathunika，Tuan Linh Dang，Yukinobu Hoshino:
Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka,
IEEE Access, Vol.11, pp.8920-8937, 2023, IEEE(2023)
doi: 10.1109/ACCESS.2023.3238717

Tharaka Jayathilake, Ranjan Sarukkalige, Yukinobu Hoshino, Upaka Rathnayake:
Wetland water level prediction using Artificial Neural Network - A case study in Colombo flood detention area, Sri Lanka,
Climate, Volume 11, Issue 1, 10.3390/cli11010001, MDPI(2023)
doi: 10.3390/cli11010001

土肥 直樹，星野 孝総:
COVID-19症例数予測におけるDeepLearningモデル適用の実験的考察,
日本知能情報ファジィ学会誌 知能と情報, Vol35 No.1 pp.587-592（2023）
doi: 10.3156/jsoft.35.1_587

Keita Mitani, Yukinobu Hoshino:
Investigation of Involvement between Specific Brain Regions and Evaluation Criteria Elements in a Two Selections Task,
Computational Intelligence and Neuroscience，Vol.2022，No.3999223, Hindawi(2022)
doi: 10.1155/2022/3999223

Keita Mitani, Namal Rathnayake, Upaka Rathnayake, Tuan Linh Dang and Yukinobu Hoshino:
Brain activity associated with the planning process during the long-time learning of the Tower of Hanoi (ToH) task: a pilot study,
Sensors, Volume.22, No.21, 8283 MDPI(2022)
doi: 10.3390/s22218283

Namal Bandara Rathnayake, Upaka Rathnayake, Tuan Linh Dang and Yukinobu Hoshino:
An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm,
Sensors, Volume.22, No.12, 4401 MDPI(2022)
doi: 10.3390/s22124401

Namal Bandara Rathnayake, Upaka Rathnayake, Tuan Linh Dang and Yukinobu Hoshino:
Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting,
Sensors, Volume.22, No.8, 2905 MDPI(2022)
doi: 10.3390/s22082905

Shoya Kusunose, Yuki Shinomiya, Tadashi Ushiwaka, Tadamasa Maeda and Yukinobu Hoshino:
Enhancement of the Individual Selectness using Local Spatial Weighting for Immune Cells,
Journal of Advanced Computational Intelligence and Intelligent Informatics(JACIII) Vol.26 No.2(2022)
(online PDF)
doi: 10.20965/jaciii.2022.p0178

三谷 慶太，星野 孝総: 長期学習者の成長曲線に基づく学習度合い予測モデルの開発と評価,
日本知能情報ファジィ学会誌 知能と情報, Vol.33, No.4, pp.501-515 （2021）
doi: 10.3156/jsoft.33.4_845

Namal Bandara Rathnayake, TUAN LINH DANG, YUKINOBU HOSHINO: A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System,
International Journal of Fuzzy Systems, Volume 23, Issue 2, March 2021. (online PDF)
doi: 10.1007/s40815-021-01076-z

楠瀬 翔也，四宮 友貴，牛若 昂志，前田 長正，星野 孝総: 免疫細胞の自動解析に向けた深層学習による解析対象の自動指定,
日本知能情報ファジィ学会誌 知能と情報, Vol.33, No.1, pp.560-565（2021）
doi: 10.3156/jsoft.33.1_560

亀阪 亮紀，星野 孝総: HDLを用いた畳み込み層の設計とカメラ信号を用いたレイテンシー評価,
日本知能情報ファジィ学会誌 知能と情報, Vol.33, No.1, pp.515-519（2021）
doi: 10.3156/jsoft.33.1_515

TUAN LINH DANG, THANG CAO, YUKINOBU HOSHINO: Engraved digit detection using HOG-Real Adaboost and deep neural network,
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Academic Journals, Vol.29, Num1, pp.138-151, 2020.
doi: 10.3906/elk-2001-12
PDF

Tuan Linh Dang, Thang Cao and Yukinobu Hoshino: Classification of metal objects using deep neural networks in waste processing line,
International Journal of Innovative Computing Information and Control, Vol15, No.06, pp.1901-1912, Dec.2019.
doi: 10.24507/ijicic.15.05.1901

Tuan Linh Dang and Yukinobu Hoshino: Hardware-based principal component analysis for hybrid neural network trained by particle swarm optimization on a chip,
"TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences",
IEICE, Vol.E102-A,No.10,pp.1374-1382,Oct. 2019.
doi: 10.1587/transfun.E102.A.1374

Tuan Linh Dang and Yukinobu Hoshino: Improved PSO Algorithm for Training of Neural Network in Co-design Architecture,
International Journal of Computer Applications, Vol.182, Number44, March 2019.
doi: 10.5120/ijca2019918583

Yuki Shinomiya，Yukinobu Hoshino: A proposal of prior probability-oriented clustering in feature encoding strategies,
Plos One, January 2019
doi: 10.1371/journal.pone.0210146

Yuki Shinomiya，Yukinobu Hoshino: A Feature Encoding based on Low Space Complexity Codebook called Fuzzy Codebook for Image Recognition,
International Journal of Fuzzy Systems, Vol.21，No.1，pp.274-280, 2019
doi: 10.1007/s40815-018-0568-2

Keita Mitani, Yukinobu HOSHINO: Verification for Commonality or Specificity of Brain Representations Related to the Different Evaluation Criteria,
International Journal of Innovative Computing Information and Control, Vol.14, No.5, pp.1553-1563, October 2018
doi: 10.24507/ijicic.14.05.1553

Yukinobu HOSHINO, Keita Mitani: A Proposal of a Usability Scale System for Rehabilitation Games Based on the Cognitive Therapeutic Exercise,
International Journal of Innovative Computing Information and Control, Vol14, No.04, pp.1189-1205, August 2018
doi: 10.24507/ijicic.14.04.1189

Yukinobu HOSHINO, Masayuki Kuboand Thang Cao: Wavelet Transform Analysis the Recognizing Brain Activities for Development the Palm-Size and
Simplification Near-Infrared Spectroscopy Prototype System by Using Arduino,
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.22 No.3 (May 20, 2018)
doi: 10.20965/jaciii.2018.p0306

Dang Tuan Linh, Yukinobu HOSHINO: Hardware/Software Co-design for a Neural Network Trained by Particle Swarm Optimization Algorithm,
Neural Process Letters, Springer US (2018).
doi: 10.1007/s11063-018-9826-4

Yuki Shinomiya and Yukinobu Hoshino:
A Quantitative Quality Measurement for Codebook in Feature Encoding Strategies
Journal of Advanced Computational Intelligence and Intelligent Informatics，Vol.21, No.7, pp. 1232-1239 (2017)
doi: 10.20965/jaciii.2017.p1232

Dang Tuan Linh, Cao Thang, Yukinobu HOSHINO:
A PROPOSED PSOSEED2 ALGORITHM FOR TRAINING HARDWARE-BASED AND SOFTWARE-BASED NEURAL NETWORKS,
International Journal of Innovative Computing, Information and Control Volume 13, Number 4, August 2017
doi: 10.24507/ijicic.13.04.1205

Dang Tuan Linh, Yukinobu HOSHINO, Cao Thang:
Hybrid Hardware-Software Architecture for Neural Networks Trained by Improved PSO Algorithm,
Innovative Computing, Information and Control(ICIC) International Express Letters, Volume 11, Issue 3, pp.565-574, March 2017
doi: 10.24507/icicel.11.03.565

Yuto Yasuoka，Yuuki Shinomiya，Yukinobu HOSHINO:
Simulation of Human Detection System using BRIEF and Neural Network,
Journal of Advanced Computational Intelligence and Intelligent Informatics，Vol.20，No.7, pp.1159-1164 (2016)
doi: 10.20965/jaciii.2016.p1159

Dang Tuan Linh，Cao Thang，Yukinobu HOSHINO:
Data pre-processing for a neural network trained by an improved particle swarm optimization algorithm,
International Journal of Computer Applications，Vol.154，No.1 (2016)
doi: 10.5120/ijca2016912022

星野 孝総，岡坂 翔，三谷　慶太:
BOLD信号による賦活状態識別のためのロジスティック関数を用いた差分進化法による識別器の最適化,
日本ファジィ学会誌 知能と情報，Vol.28，No.3, 2016
doi: 0.3156/jsoft.28.617

Hoshino, Y., K. Mitani, N. Miura, H.C. Tanabe, and K. Nagai:
Motion Analysis for Stone-Knapping of the Skilled Levallois Technique,
Dynamics of Learning in Neanderthals and Modern Humans Volume 2: Cognitive and Physical Perspectives,
pp. 79-90. Springer Japan (2014)

Thang Cao, Hung T. Nguyen, Hien M. Nguyen, Yukinobu Hoshino:
Modeling Emotional Evaluation of Traditional Vietnamese Aodai Clothes Based on Computer Vision
and Machine Learning, Industrial Applications of Affective Engineering
, pp 111-122, Date: 09 Apr 2014, Print ISBN 978-3-319-04797-3 2014

星野 孝総，瀧本 浩志:
ライントレースカーの二段ファジィ制御による速度制御と差分進化アルゴリズムによる加速制御器の最適化，
日本ファジィ学会誌 知能と情報，Vol.25, No.3, pp.760-771 (2013)
doi: 10.3156/jsoft.25.760

星野 孝総:
差分進化アルゴリズムによるファジィ制御器の最適化，
高知工科大学紀要 第8巻第1号(2011), pp.25-35

J. Kushida, I. Nakaoka, K. Kamei and Y. Hoshino:
Application of Co-Evolutionary System for Strategy Developments of Teams in the Same Generation to Team Match-Up Games
International Journal of Innovative Computing, Information and Control, Vol. 5, No. 12 (2009)

J. Kushida, I. Nakaoka, K. Kamei, N. Taniguchi and Y.Hoshino:
A Coevolutionary System for Strategy Development in Poker Games International,
Journal of Innovative Computing, Information and Control,
Vol. 4, No. 12, pp. 3259-3272 (2008)

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO , Katsuari Kamei:
Applying Fuzzy Logic and Neural Network to Rheumatism Treatment in Oriental Medicine.
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.11 No.1, 2007

Nyan Win Aung, Eric W. Cooper, Yukinobu Hoshino and Katsuari Kamei:
A PROPOSAL OF FUZZY CONTROL SYSTEMS FOR TRAILERS DRIVEN BY MULTIPLE MOTORS IN SIDE SLIPWAYS TO HAUL OUT SHIPS ,
International Journal of Innovative Computing, Information and Control Vol ume 3,Number4, August 2007
PDF

Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei
Maintaining Individual Diversity by Fuzzy c-Means Selection,
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.8, 2007

Thang Cao, Eric W.Cooper, Yukinobu Hoshino, Katsuari Kamei and Hoang Phuong Nguyen:
An Application of Soft Computlng to RETS:Rheumatic Evaluaton and Treatment System by Oriental Medicine
Biomedical Soft Computing and Human Sciences, Vol.11, No.1, pp.7-13. December 2006

Y Kinoshita, E W Cooper, Y Hoshino, K Kamei:
Title : Kansei and colour harmony models for townscape evaluation
Journal : Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Publisher : Professional Engineering Publishing
ISSN 0959-6518
Issue Volume 220, Number 8 / 2006
DOI 10.1243/09596518JSCE149
Pages 725-734

亀井 且有，青山 美由夏，木下 雄一郎，エリック・クーパー，星野 孝総：
SD法による心理計測および近赤外分光法による生理計測にもとづく打楽器音楽の感性評価,
感性工学研究論文集, Vol. 6, No. 4, pp. 67-75, 2006年12月

中岡　伊織, 星野　孝総, 亀井　且有：
SOMを用いたキャッシュ・フローにもとづく倒産予測手法の提案
日本ファジィ学会誌，Vol.18, No.5, pp.777-786 (2006)

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO , Katsuari Kamei and Nguyen Hoang Phuong:
A Proposed Model of Diagnosis and Prescription in Oriental Medicine Using RBF Neural Networks.
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) Vol.10 No.4, pp. 458-464, 2006

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO and Katsuari Kamei:
A Decision Support System for Rheumatic Evaluation and Treatment in Oriental Medicine Using Fuzzy Logic and Neural Network,
Lecture Notes in Artificial Intelligence LNAI 3558,
Springer-Verlag Berlin Heidelberg, pp 399-409, 2005

Yoshiaki SAKAKURA, Noriyuki TANIGUCHI, Yukinobu HOSHINO and Katsuari KAMEI:
Maintenance of Building Blocks in GA Using Symbiotic Evolutionary Viruses
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.9，No.4, pp.423-429(2005)

Yoshiaki SAKAKURA, Noriyuki TANIGUCHI, Yukinobu HOSHINO and Katsuari KAMEI:
A Proposal of GA Using Symbiotic Evolutionary Viruses and Its Virus Evaluation Techniques
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.8, No.4, pp.421-425 (2004)

Y.Hoshino and K.Kamei:
Effective Use of Learning Knowledge by FEERL
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.7，No.1，pp.6 to 9 (2002)

星野，亀井:ファジィ環境評価ルールを用いた強化学習の提案とチェスへの応用,
日本ファジィ学会誌，Vol.13, No.6, pp.626-632 (2001)
doi: doi.org/10.3156/jfuzzy.13.6_626

星野，亀井:ファジィ環境評価型強化学習のLightsOutゲームへの応用と
探索における迂回系列の回避, システム制御情報学会誌，Vol.14，No.8，pp.395-401 (2001)
doi: doi.org/10.5687/iscie.14.395

Proceedings of International Conference・Congress(国際学会・国際会議)
≪査読付き/Reviewed≫ 86編

Moegi Utami, Yukinobu HOSHINO, and Namal Rathnayake: Design and implementation of anfis on fpga and verification with class classification problem,
Advanced Computational Intelligence and Intelligent Informatics, pages 241-252, Singapore, 2023.
Springer Nature Singapore.
doi: 10.1007/978-981-99-7590-7_20

Junichi Sasagawa, Michio Watamori, and Yukinobu Hoshino: Simulation for development of microcomputer car with white line following controller,
Advanced Computational Intelligence and Intelligent Informatics, pages 141-149, Singapore, 2023.
Springer Nature Singapore.
doi: 10.1007/978-981-99-7593-8_13

Reiji Okawa, Yukinobu Hoshino, Shoya Kusunose, Shinpei Yamamoto, Takashi Ushiwaka, and Nagamasa Maeda:
Validation of contour extraction using yolact for analysis of nk cell chemotaxis,
Advanced Computational Intelligence and Intelligent Informatics, pages 150-155, Singapore, 2023.
Springer Nature Singapore.
doi: 10.1007/978-981-99-7593-8_14

Daisuke Hashimoto and Yukinobu Hoshino:
Characteristics verification of the luggage transportation problem using relative vectors in multi-agent reinforcement learning,
Advanced Computational Intelligence and Intelligent Informatics, pages 304-316, Singapore, 2023.
Springer Nature Singapore.
doi: 10.1007/978-981-99-7593-8_26

Daisuke HASHIMOTO, Yukinobu HOSHINO: Verifying the Differences of the Action Selections for the Action Planning Problem of AGVs by Applying the Reinforcement Learning,
Proceedings of 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS),
Nov. 29-Dec. 2, Ise-Shima, Mie, Japan, W-1-G-2
doi: 10.1109/SCISISIS55246.2022.10002026

Naoki DOHI, Namal RATHNAYAKE and Yukinobu HOSHINO: A Comparative Study for COVID-19 Cases Forecasting with Loss Function as AIC and MSE in RNN Family and ARIMA,
Proceedings of 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS),
Nov. 29-Dec. 2, Ise-Shima, Mie, Japan, T-3-F-2
doi: 10.1109/SCISISIS55246.2022.10001870

Keigo YOSHIMI, Yukinobu HOSHINO: Design and Validation of Action Chain Search During Free Kick in RoboCup2D Simulation,
, Proceedings of 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS),
Nov. 29-Dec. 2, Ise-Shima, Mie, Japan, F-1-G-5
doi: 10.1109/SCISISIS55246.2022.10001899

Namal Rathnayake, Tuan Linh Dang, Yukinobu HOSHINO: Designing and Implementation of Novel Ensemble model based on ANFIS and Gradient Boosting methods for Hand Gestures Classification,
Proceeding of SoICT 2022: The 11th International Symposium on Information and Communication Technology, Pages 283-289
Hanoi Vietnam, December 1-3, 2022

Namal Rathnayake, Tuan Linh Dang, Akira Miyazaki, Yukinobu HOSHINO: An Efficient Approach for Age-Wise Rice Seeds Classification using SURF-BOF with Modified Cascaded-ANFIS algorithm,
Proceeding of The 15 th International Conference on Machine Vision(ICMV 2022),
Nov. 18-20, 2022, Italy Rome, V011

Namal RATHNAYAKE, Upaka RATHNAYAKE, Tuan Linh DANG, and Yukinobu HOSHINO: "Streamflow Prediction Using Cascaded-ANFIS Algorithm in Kelani River, Sri Lanka",
Proceeding of The 10th International Symposium on Computational Intelligence and Industrial Applications(ISCIIA2022),
Sep. 23-25, 2022, Zoom online, C1-1

Naoki DOHI, Namal RATHNAYAKE, and Yukinobu HOSHINO: A Comparative Study of Statistical Models and Univariate and Multivariate RNN for Forecasting the Number of COVID-19 Cases Proceeding of The 10th International Symposium on Computational Intelligence and Industrial Applications(ISCIIA2022), Sep. 23-25, 2022, Zoom online, C1-2

Junsuke YOKOSEKI and Yukinobu HOSHINO: The Proposal of Region Proposal Method for OutdoorCamera's Image by Fuzzy Inference System,
The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics(IWACIII2021)
Paper ID: T1-3-1

Keigo YOSHIMI and Yukinobu HOSHINO: Design and Validation of an Evaluation Function Using the GA for the Fuzzy Inference of the Action Chain Search in RoboCup2D,
The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics(IWACIII2021)
Paper ID: M2-6-2

Shoya KUSUNOSE, Yuki SHINOMIYA, and Yukinobu HOSHINO: Exploring Effective Channels in Fundus Images for Convolutional Neural Networks,
The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics(IWACIII2021)
Paper ID: M2-5-3

Naoki DOHI and Yukinobu HOSHINO: A Comparative Study on Statistical Method and Neural Network in COVID-19 Forecasting,
The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics(IWACIII2021)
Paper ID: M2-3-6

Namal Rathnayake, Tuan Linh Dang and Yukinobu Hoshino: Performance Comparison of the ANFIS based Quad-Copter Controller Algorithms,
IEEE International Conference on Fuzzy Systems 2021(FuzzIEEE2021), July 13, 2021, Zoom online [#15]
doi: 10.1109/FUZZ45933.2021.9494344

Shoya Kusunose, Yuki Shinomiya, Yukinobu Hoshino, Takashi Ushiwaka, and Nagamasa Maeda
: Improving Individually Selectness for Immune Cells using GradCAM，
Proceedings of IEEE CYBCONF 2021, Zoom online, #341, pp.034--038, June 8, 2021, Zoom
doi: 10.1109/CYBCONF51991.2021.9464134

Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, and Yukinobu Hoshino: Experimental Verification of Control Rules for A Lane-Keeping Controller Using Similarity Fuzzy Reasoning，
21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020),
#1570665828, December 5, 2020, Zoom
doi: 10.1109/SCISISIS50064.2020.9322781

Junsuke Yokoseki and Yukinobu Hoshino: Development and Evaluation of Identification Devices for Vermin Capture System，
21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020),
#1570664713, December 5, 2020, Zoom
doi: 10.1109/SCISISIS50064.2020.9322755

Shoya Kusunose, Yuki Shinomiya, Yukinobu Hoshino, Takashi Ushiwaka, and Nagamasa Maeda
: Automatic Acquisition of Immune Cells Location Using Deep Learning for Automated Analysis，
21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020),
#1570664331, December 5, 2020, Zoom
doi: 10.1109/SCISISIS50064.2020.9322726

Ryoki Kamesaka and Yukinobu Hoshino: Design of the Convolution Layer Using SoC FPGA and
Evaluation of Latency Using a Camera Signal,
Proceedings of Joint 11th International Conference on Soft Computing and Intelligent Systems and
21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020),
#1570664255, December 5, 2020, Zoom
doi: 10.1109/SCISISIS50064.2020.9322706

Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto and Yukinobu Hoshino:
Development and validation of the lane-keeping controller using a similarity-type fuzzy reasoning method,
Proceedings of IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020,
P1502 [#22438], 19-24th July, 2020, Glasgow (UK)
doi: 10.1109/FUZZ48607.2020.9177831

Ryoki Kamesaka and Yukinobu Hoshino:
Design of the convolution layer using HDL and evaluation of delay time using a camera signal,
Proceedings of IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020,
P1501 [#22271], 19-24th July, 2020, Glasgow (UK)
doi: 10.1109/FUZZ48607.2020.9177832

Ryosuke Hayasaka, Keita Mitani and Yukinobu Hoshino:
An Investigation into the Functional Connectivity Based on a Time Production for BCI,
Proceedings of SCIS&ISIS2018, Fr4-3-4, Toyama international conference center, Japan
doi: 10.1109/SCIS-ISIS.2018.00189

Yuya Sano, Ryosuke Hayasaka, Keita Mitani and Yukinobu Hoshino:
Transition in Long-term Learning Curves and fMRI Analysis on Tower of Hanoi Task,
Proceedings of SCIS&ISIS2018, Fr4-3-2, Toyama international conference center, Japan
doi: 10.1109/SCIS-ISIS.2018.00187

Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto and Yukinobu Hoshino:
A Development of a Line-Trace Car with Fuzzy Control of Motor Signals and Performance Evaluation,
Proceedings of SCIS&ISIS2018, Fr4-1-4, Toyama international conference center, Japan
doi: 10.1109/SCIS-ISIS.2018.00126

Ohnishi Ringo and Hoshino Yukinobu:
Position Estimation Using Stereo Camera Images and Physics Engine Simulation for Robot Control,
Proceedings of SCIS&ISIS2018, Fr4-1-3, Toyama international conference center, Japan
doi: 10.1109/SCIS-ISIS.2018.00125

Ryoki Kamesaka and Yukinobu Hoshino:
Development of a Prevention System for Beast Damage of Agricultural Products Using Deep Learning,
Proceedings of SCIS&ISIS2018, Fr4-1-2, Toyama international conference center, Japan
doi: 10.1109/SCIS-ISIS.2018.00124

Ryosuke Hayasaka, Keita Mitani, and Yukinobu Hoshino:
A Consideration of effects of Different Numbers of Seconds in Spontaneous Time Production with fMRI Analysis,
HCI International 2018 - Posters' Extended Abstracts, 20th International Conference, HCI International 2018,
Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I.
Communications in Computer and Information Science 850, Springer 2018, ISBN 978-3-319-92269-0, pp.354-360

Ryosuke Hayasaka, Keita Mitani, and Yukinobu Hoshino:
Workings of the Brain in the Time Perception Using the Time Guessing Game,
Proceedings of SCIS&ISIS2016, Po-7
, Sapporo Hokkaido, JAPAN, August 25-28 (2016)

Keita Mitani and Yukinobu Hoshino: Correlation of Brain Activity and Questionnaire at the Decision Making,
Proceedings of SCIS&ISIS2016, Sa5-1-5, Sapporo Hokkaido, JAPAN

Yuki Shinomiya and Yukinobu Hoshino: An Analysis of Dependency of Prior Probability for Codebook-Based Image Representation,
Proceedings of SCIS&ISIS2016, Fr6-1-4, Sapporo Hokkaido, JAPAN

Tuan Linh Dang and Yukinobu Hoshino: An FPGA Based Classification System by Using a Neural Network and an Improved Particle Swarm Optimization Algorithm,
Proceedings of SCIS&ISIS2016, Fr6-1-3, Sapporo Hokkaido, JAPAN

Yuto Yasuoka, Yukinobu Hoshino, and Yuki Shinomiya: Evaluation of Optimization Methods for Neural Network,
Proceedings of SCIS&ISIS2016, Fr6-1-2, Sapporo Hokkaido, JAPAN

Masahiro Shimasaki and Yukinobu Hoshino: Pipeline Labeling Algorithm with Parallel Calculation of Gravity Center on FPGA,
Proceedings of SCIS&ISIS2016, Fr6-1-1, Sapporo Hokkaido, JAPAN

Yuto Yasuoka, Yuki Shinomiya and Yukinobu Hoshino: Development of human detection system by BRIEF
Proceedings of 16th International Symposium on Advanced Intelligent Systems, T5e-4,
Mokpo, South Korea, November 4 to 7, 2015.

Masahiro Shimasaki and Yukinobu Hoshino: Design and Verification of Image Processing Filters on FPGA,
Proceedings of 16th International Symposium on Advanced Intelligent Systems, T5e-3,
Mokpo, South Korea, November 4 to 7, 2015.

Yuki Shinomiya and Yukinobu Hoshino: A Validation of Feature Encoding based on Fuzzy Codebook with Online Classifier,
Proceedings of 16th International Symposium on Advanced Intelligent Systems, T5e-2,
Mokpo, South Korea, November 4 to 7, 2015.

Masayuki Kubo and Yukinobu Hoshino: Development of Downsized fNIRS System for BCI、
Proceedings of 16th International Symposium on Advanced Intelligent Systems, T5e-1,
Mokpo, South Korea, November 4 to 7, 2015.

Keita Mitani and Yukinobu Hoshino: Brain activation difference of social learning and individual learning by planning game,
Proceedings of 16th International Symposium on Advanced Intelligent Systems, T5d-3,
Mokpo, South Korea, November 4 to 7, 2015.

Tuan Linh Dang and Yukinobu Hoshino：
A Hardware Implementation of Particle Swarm Optimization with a Control of Velocity for Training Neural Network、
Proceedings of IEEE SMC2015,pp. 1980-1985, 2015

Yuki Shinomiya and Yukinobu Hoshino：
A Feature Encoding based on Fuzzy Codebook for Large-scale Image Recognition、
Proceedings of IEEE SMC2015, pp. 2908-2913, 2015

Yuki Shinomiya, Yukinobu Hoshino: Local Feature Selection by Visual Saliency and its Embedding to Image Representation,
Proceedings of SCIS 2014, 3-6 Dec. 2014 Kitakyushu, Japan

Yukinobu Hoshino, Keita Mitani, Naoki Miura, Hiroki Tanabe & Kenji Nagai:
fMRI experiment about executive function by difference of learning methods: Using Tower of Hanoi,
Proceedings of RNMH2014, Nov.30-Dec.6, 2014, Date City, Hokkaido, Japan

Yuki Shinomiya, Yukinobu Hoshino, Bag of Features Based on Feature Distribution Using Fuzzy C-Means,
Proceedings of HCI2014 International, 22 - 27 June 2014 Creta Maris Heraklion, Crete, Greece

Fuyuki Matsushima, Roberto Gorriz Vilar, Keita Mitani,Yukinobu Hoshino,
Touch Screen Rehabilitation System Prototype Based on Cognitive Exercise Therapy,
Proceedings of HCI2014 International, 22 - 27 June 2014 Creta Maris Heraklion, Crete, Greece

Yukinobu Hoshino, Hiroomi Okada, Keita Mitani,
Development of the Hand Color Detection System for Hand Gesture Front of the Face,
Proceedings of HCI2014 International, 22 - 27 June 2014 Creta Maris Heraklion, Crete, Greece

Yukinobu HOSHINO, Fuyuki Matsushima, Roberto Gorriz Vilar, Keita Mitani:
Human computer interfaces for controlling robots and rehabilitation,
Proceedings of nternational Symposium on Advanced Intelligent Maritime Safety and Technology 2014 (Ai-Mast2014),
Mokpo National Maritime University KOREA, 15-17 May, 2014

Keita Mitani, Yukinobu Hoshino:
Evaluation of Application Switcher Using the Initial Writing Operation,
Proceedings of HCI International 2013, Mirage Hotel, Las Vegas, Nevada, USA (2013)

Thang Cao, Yukinobu HOSHINO:
A Proposal of Kansei Evaluation for Traditional Vietnamese Aodai Clothes based on Computer Vision,
Proceedings of International Symposium on Affective Engineering 2013 (ISAE 2013),
Kitakyushu International Conference Center（2013）.

Hoshino, Y., N. Miura, and K. Nagai:
Motion Analysis for Stone-Knapping of the Skilled Levallois Technique,
Proceedings of RNMH2012 -The First International Conference on the Replacement
of Neanderthals by Modern Humans:
Testing Evolutionary Models of Learning, 2012.11.18-24. Tokyo.

Sho Okasaka, Yukinobu Hoshino:
Development of Estimation Method about Activity States for NIRS-based BCI System,
Proceedings of The 6th International Conference on Soft Computing and Intelligent Systems The 13th International Symposium on Advanced Intelligent Systems(SCIS&ISIS 2012),
Kobe Convention Center (Kobe Portopia Hotel), CD-ROM (F1-42-2 304) , November 2012.

Yukinobu Hoshino, Junichi Kunieda:
Visibility Test of CG Model for RC Helicopter Control Skill Study Support System Using HMD,
Proceedings of The 10th Asia Pacific Conference on Computer Human Interaction (APCHI 2012),
CD-ROM #2P-88, Matsue, Japan, August 28-31, 2012.

Yukinobu Hoshino, Hiroshi Takimoto:
PSO training of the Neural Network application for a controller of the line tracing car,
WCCI 2012 (FUZZ-IEEE 2012) CD-ROM #392,Brisbane Australia, Jun 2012

Yukinobu Hoshino:
A Report The Difference Features Of A Multi-agent Using An Overlay Knowledge In The Fire Panic Problem,
Proceedings of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011),
CD-ROM #554, Taipei Taiwan, June27-30 2011

Yukinobu Hoshino, Hiroshi Takimoto:
Development of PSO_VC for Training the Neural Network for a Real Line Tracing Car,
Proceedings of The 2011 IFSA World Congress and the 2011 AFSS, CD-ROM #CI-202, Surabaya Indonesia, June21-25 2011

Yukinobu Hoshino:
Evaluating ideal combinations of Necktie and Yshirt by Selforganization Map for the coordination system,
Proceedings of WCCI 2010 (FUZZ-IEEE 2010), CD-ROM #217, Barcelona Spain, July 2010

Hiroshi Takimoto, Yukinobu Hoshino:
Development of Fuzzy controller for the steering angle and the motor power control application to the line trace car,
Proceedings of FUZZ-IEEE 2009, CD-ROM #2072, Korea, August 2009

Takeshi Kiyoto, Yukinobu Hoshino:
Develop Simulation and Trial test Q-Learning system for Soccer Robot system,
Proceedings of FUZZ-IEEE 2009, CD-ROM #2067, Korea, August 2009

Junichi Kunieda, Yukinobu Hoshino:
Development of RC helicopter control skill Study Support System in consideration of User Interface,
Proceedings of FUZZ-IEEE 2009, CD-ROM #957, Korea, August 2009

Junichi Kunieda, Yukinobu Hoshino:
Experiment the Graphical Interface of A Study Support System for RC-Helicopter Control,
Proceedings of HCI International 2009, DVD Posters p.860 ff., San Diego, CA, USA, July 2009.

J. Kushida, I. Nakaoka, K. Kamei and Y. Hoshino：
Application of Co-Evolutionary System for Strategy Developments of Players in the Same Generation to Team Match-Up Games
Proceedings of The International Symposium on Intelligent Informatics (ISII2008), 9 pages (2008, Kumamoto, Japan)

J. Kushida, I. Nakaoka, K. Kamei, N.Taniguchi and Y. Hoshino:
A Coevolutionary System for Development of Strategies in Poker Game
Proceedings of The Second International Conference on Innovative Computing, Information and Control, C10-09, 4 pages (2007, Kumamoto, Japan)

Junichi KUSHIDA, Iori NAKAOKA, Noriyuki TANIGUCHI, Noriyuki TANIGUCHI, Yukinobu HOSHINO and Katsuari KAMEI:
「A Coevolutionary System for Development of Strategies in Poker Game」
The Second International Conference on Innovative Computing,
Information and Control (ICICIC2007)

Yukinobu HOSHINO , Akira SAKAKURA and Katsuari KAMEI:
A proposal of the learning system using the recordable multi-layer type rule base
and its application for the Fire panic problem,
Proceedings of the Joint International Conference on CyberGames
and Interactive Entertainment 2006 (CGIE2006), pp.137-140
4-6 December 2006, Perth Western Australia.

Nyan Win Aung, Eric W. Cooper, Yukinobu HOSHINO , and Katsuari Kamei:
A Proposal of Fuzzy Control System for Trailers Driven
by Multiple Motors in Side Slipway to Launch and Pull
Out Ships, Proceedings of 2006 International Conference
on Innovative Computing, Information and Control,Volume 2,pp.167-170
August 30 - September 1, 2006 Beijing.

Iori Nakaoka, Kyuichiro Tani, Yukinobu HOSHINO , Katsuari Kamei:
A Bankruptcy Prediction Method Based on Cash Flow Using SOM,
Proceedings of 2006 IEEE International Conference on Systems, Man, and Cybernetics,
Vol.3, pp.2769 - 2774, Oct. 8 - Oct. 11, 2006 - The Grand Hotel, Taipei, Taiwan.

Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu HOSHINO , and Katsuari Kamei:
Selection Scheme for Maintaining Diversity in Genetic Algorithms Using Fuzzy c-means, Proceedings of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems, Tokyo, Japan, October 2006.

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO , Katsuari Kamei and Nguyen Hoang Phuong:
Apply Gaussian Distribution and RBF Neural Network to Diagnosis and Prescription High Blood Pressure Disease
in Oriental Medicine. Proceedings of the International Conference on Information,
Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2006), pp 1136-1141, (2006)

Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei:
A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms,
Proceedings of 2006 IEEE World Congress on Computational Intelligence,
pp. 10364-10369, Vancouver, BC, Canada, July 2006.

Yuichiro Kinoshita, Yoshiaki Sakakura, Eric W. Cooper, Yukinobu HOSHINO , and Katsuari Kamei:
Townscape Colour Planning System Using an Evolutionary Algorithm and
Kansei Evaluations, Proceedings of 2006 IEEE World Congress on
Computational Intelligence, pp. 931-938, Vancouver, BC, Canada, July 2006

Y. Kinoshita, R. Shimizu, E. W. Cooper, Y. Hoshino and K. Kamei:
An Intelligent Captioning System for the Optimization of Image and Caption Visibility,
Proceedings of The 6th International Symposium on Advanced Intelligent Systems, pp.108-111 (2005)

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO and Katsuari Kamei:
A Proposed Model of Soft Computing in Diagnosing Diseases and Prescribing Herbal Prescriptions by Oriental Medicine,
Proceedings of the First International Conference on Complex Medical Engineering (CME2005), pp 904-908, (2005)

Yuichiro Kinoshita, Eric Cooper, Yukinobu HOSHINO and Katsuari Kamei:
Development of Townscape Evaluation System for Colour Planning Support
Proceeding of 11th International Conference on Human-Computer Interaction 2005,
(CD-ROM), 9 pages, Las Vegas, NV, The United States, July 2005

Yoshiaki SAKAKURA, Noriyuki TANIGUCHI, Yukinobu HOSHINO and Katsuari KAMEI:
Maintenance of Building Blocks in GA Using Symbiotic Evolutionary Viruses
( Proceeding of Sixth Asian Fuzzy Systems Symposium 2004,
Hanoi, Vietnam, pp.154-158

Cao Thang, Eric W. Cooper, Yukinobu HOSHINO , Katsuari Kamei and Nguyen Hoang Phuong:
An Application of Soft Computing to RETS: Rheumatic Evaluation and Treatment System by Oriental Medicine,
Proceedings of the Sixth International Conference on Fuzzy Systems (AFSS’04), pp 73-78, (2004)

YuichiroKINOSHITA, Eric W.COOPER, Yukinobu HOSHINO and Katsuari KAMEI:
A Townscape Evaluation System Based on Kansei and Colour Harmony Models
Proceedings of IEEE International Conference on Systems, Man and Cybernetics 2004,
Hague, Netherlands, pp.327-332 (2004)

Yukinobu HOSHINO and Katsuari KAMEI:
A Proposal of Reward Division Type Q-Learning with
Reinforcement Flags and Its Application to a Maze Problem
Proceedings of Joint 2nd International Conference on Soft Computing
and Intelligent Systems and 5th International Symposium on
Advanced Intelligent Systems, Japan, CD-ROM Version THE-1-4 (2004)

Yukinobu HOSHINO , Hiroshi HIDAKA and Katsuari KAMEI:
A Reuse of Acquired Rules in Reinforcement Learning for Tactics of Hasami-Shogi
Proceedings of Joint 2nd International Conference on Soft Computing
and Intelligent Systems and 5th International Symposium on
Advanced Intelligent Systems, Japan, CD-ROM Version TUP-2-4 (2004)

Yukinobu HOSHINO , Akira SAKAKURA ,and Katsuari KAMEI:
A proposal of CMAC with Foresight Knowledge Layer For Heterogeneous Multi-agent System
Proceedings of International Conference on Fuzzy Systems 2004,
Budapest, Hungary, CD-ROM Version 0047-1382.pdf, pp.449-452 (2004)

Y.SAKAKURA, N.TANIGUCHI, Y.Hoshino , and K.KAMEI:
A Proposal of GA Using Symbiotic Evolutionary Viruses and Its Virus Evaluation Techniques
Proceedings of 4thInternational Symposium on Advanced Intelligent System, pp.679-682 (2003)

Y.Hoshino , A.SAKAKURA ,and K.KAMEI:
Research of Foresight Knowledge by CMAC based Q-learning in Inhomogeneous Multi-Agent System,
Proceedings of 4thInternational Symposium on Advanced Intelligent System, pp.280-283 (2003)
PDF

Y.Hoshino and K.Kamei:A proposal of Reinforcement Learning System to Use Knowledge effectively,
Proceedings of SICE Annual Conference 2003 in Fukui, Fukui University, Fukui, Japan,
CD-ROM Version No.0538 TAI-14-2(4 Pages) (2003)

Y.Hoshino and K.Kamei:A Proposal of Reinforcement Learning with Fuzzy Environment Evaluation Rules
and It's An Application to Chess,Proceedings of The Fourth Asian Fuzzy Systems Symposium,
Tsukuba Science City, Japan, pp.179-184, (2000)

Y.Hoshino and K.Kamei:A proposal of Learning System with Fuzzy Rules under Large Environments,
Proceedings of International Joint Conference on Neural Networks, Washington DC, USA,
CD-ROM Version No.734 (6 pages), (1999)
doi: 10.1109/IJCNN.1999.830867

星野孝総、三谷慶太、三浦直樹、田邊宏樹、長井謙治:
「ハノイの塔を用いた社会学習と固体学習差の検証実験」,
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 10: 117. (2015)

星野 孝総, 安岡 優斗, 服部 綾乃, 四宮 友貴:
遺伝的アルゴリズムの看護師勤務表作成問題への適用と一考察,
高知工科大学紀要　第11巻第1号, Vol.11 No.1, pp.101-107 (2014)

星野孝総、三谷慶太、三浦直樹、田邊宏樹、長井謙治:
「ハノイの塔を用いた社会学習と個体学習差の検証実験」,
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 9: 120. (2014)

星野 孝総, 岸 雅基:
投榔ロボットにおけるサーボモータの応答速度を考慮したFPGAコントローラの試作,
高知工科大学紀要　第10巻第1号, Vol.10 No.1, pp.121-128 (2013)

星野孝総、三谷慶太、三浦直樹、田邊宏樹、長井謙治:
「石器製作過程での身体動作の特徴から検証する行動計画と学習報酬系の関連性について」,
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 7: 94-95. (2013)

星野孝総、三谷慶太、三浦直樹、田邊宏樹、長井謙治:
「反復ルヴァロワ方式の身体動作データ解析による生産性の検証」,
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 8: 114. (2013)

Hoshino, Y., N. Miura, and K. Nagai:
Motion Analysis for Stone -Knapping of the Skilled Levallois Technique,
RNMH PROJECT SERIES No.002: pp.161-163 (2012)

星野孝総、三浦直樹、長井謙治:
「打製石器作成時の熟練技術者の身体動作解析」,
『交替劇 -旧人・新人の学習行動に関する脳機能マップの作成』23-27. C02班研究報告書No.1. (2012)

星野孝総，木屋亮:
人型ロボットの動作に関するイメージ印象調査
高知工科大学紀要　第9巻第1号, Vol.9，No.1，pp.77-84 (2012)

三浦直樹、星野孝総、長井謙治:
「問題解決のための創造的適応的行動の選択に関与する神経基盤の解明」,
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 5: 86. (2012)

三浦直樹、星野孝総、長井謙治:
「3次元身体動作解析データに基づく、旧人の石器製作における学習要素の推定」，
『ネアンデルタールとサピエンス交替劇の真相 -学習能力の進化に基づく実証的研究』No. 4: 131. (2011)

三浦直樹、星野孝総、長井謙治:
「ルヴァロア剥片制作における熟練行動の運動的特徴抽出」,
『ネアンデルタールとサピエンス交替劇の真相：学習能力の進化に基づく実証的研究』No. 3: 53. (2011)

三浦直樹、長井謙治、星野孝総:
「三次元動作計測を用いた熟練者の石器製作工程の身体動作解析」
『ネアンデルタールとサピエンス交替劇の真相：学習能力の進化に基づく実証的研究』No. 2: 62. (2011)

星野孝総:
モフォロジー処理のための進化計算による自動最適化手法とFPGAを用いた高速ラベリングの応用可能性について,
高知工科大学紀要　第7巻第1号，Vol.7，No.1，pp.81-89 (2010)

亀井且有・青山美由夏・木下雄一朗・クーパー・エリック・星野孝総:
打楽器音楽の感性評価における近赤外分光法による 酸素化ヘモグロビン変化の定性的モデル,
立命館大学紀要「アート・リサーチ」7号 (2007)

星野孝総，亀井且有：
ファジィ環境評価型ルールを用いた強化学習の提案とチェスへの応用．
各種場における特異的選択性の解明と制御: 平成10年度-平成14年度私立大学学術研究高度化推進事業
学術フロンティア推進事業」研究成果報告書，pp.273-279, 立命館大学理工学研究所 (2003)

その他　国内シンポジウム・研究会等
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〜外部資金(科学研究費等)〜

2024年4月1日〜2027年3月31日【科学研究費: 基盤研究(C) 主担】
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2022年10月7日〜2025年3月31日【科学研究費: 国際共同研究加速基金(国際共同研究強化(B)) 主担】
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2013年4月〜2016年3月【科学研究費: 基盤研究(C) 主担】
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2013年4月〜2016年3月【公益財団法人　科学技術融合振興財団　調査研究助成】
　　　　 　FPGA技術を用いたリアルタイム高速処理技術を用いた認知運動療法に基づくハビリテーションゲーム空間開発

2010年6月〜2015年3月【科学研究費: 新学術領域研究(研究領域提案型) 分担】
　　　　 　旧人・新人の学習行動に関する脳機能マップの作成

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