Updated on 2023/12/26

写真a

 
HORIO Keiichi
 
Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 6

Citation count denotes the number of citations in papers published for a particular year.

Affiliation
Graduate School of Life Science and Systems Engineering Department of Human Intelligence Systems
Job
Professor
E-mail
メールアドレス
External link

Research Interests

  • Neural Network.

Research Areas

  • Informatics / Kansei informatics

  • Informatics / Soft computing

Post Graduate Education

  • 2001.03   Kyushu Institute of Technology   Graduate School, Division of Information Engineering   Doctoral Program   Completed   Japan

Degree

  • Kyushu Institute of Technology  -  Doctor of Information Engineering   2001.03

Biography in Kyutech

  • 2019.08
     

    Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering   Department of Human Intelligence Systems   Professor  

  • 2014.04
    -
    2019.07
     

    Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering   Department of Human Intelligence Systems   Associate Professor  

  • 2007.04
    -
    2014.03
     

    Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering   Department of Brain Science and Engineering   Associate Professor  

Biography before Kyutech

  • 2001.04 - 2003.03   Japan Society for the Promotion of Science   Special researcher of the Japan Society for the Promotion of Science   Japan

Papers

  • Evaluation of Estimating Preschool Children's Verbal Communication Skills in Group Discussions Reviewed International journal

    Yamaguchi H., Horio K.

    2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022   2022.11

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    Japan   Ise   2022.11.29  -  2022.12.02

    DOI: 10.1109/SCISISIS55246.2022.10002023

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  • Evaluation of Preschool Children’s Verbal Communication Skills in Group Discussions and Its Automation

    Yamaguchi Hiroki, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   38 ( 0 )   526 - 531   2022.09

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    2022.09.14  -  2022.09.16

    <p>In recent years, ”First Grade Problem,” which occurs when children in the first grade of elementary school fail to adapt to school life, has become a problem, and one of the factors causing the problem is a lack of communication skills. One of the reasons for this problem is the lack of communication skills. Since children have more opportunities to speak after entering elementary school, it is important to nurture communication skills in the pre-entry stage. Currently, nursery schools and kindergartens are required to understand the developmental status of children and provide appropriate guidance accordingly, but it is difficult to observe and provide guidance to children in the midst of various tasks. The purpose of this research was to evaluate verbal communication skills based on each preschool child ’s utterances during discussions in order to develop a support system for understanding the developmental status of children. By creating an evaluation index, classifying utterances, and estimating topics, we were able to evaluate verbal communication skills at the same level as subjective evaluation.</p>

    DOI: 10.14864/fss.38.0_526

    CiNii Research

  • Quantitative evaluation of welding technology using SOM2

    Fukuoka Tatsuya, Nakano Masahiro, Watanabe Shogo, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   38 ( 0 )   532 - 536   2022.09

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    2022.09.14  -  2022.09.16

    <p>Welding is an excellent method of connecting industrial materials and is applied to many products around us. However, the scope of its work is very broad and it takes a considerable amount of time to be recognized as a full-fledged welding engineer. The requirements for welding include whether the weld is finished as designed, whether the required function and strength are obtained, and whether the appearance of the weld is finished to the required level. The purpose of this study was to investigate the relationship between the welding engineer's work and the welding results. To this end, this study used SOM2 to visualize the similarity of the welding engineer's work and discussed the relationship between the results and the welding results.</p>

    DOI: 10.14864/fss.38.0_532

    CiNii Research

  • Reinforcement Learning-Based Modeling of Children Behavior and Feature Analysis with Parameter Estimation

    Zaizen Koki, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   38 ( 0 )   402 - 406   2022.09

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    2022.09.14  -  2022.09.16

    <p>In recent years, the shortage of childcare workers and the increase in the number of children waiting for admission to preschool due to an increase in the number of children who wish to enter preschool as a result of dual employment have become social problems. One of the reasons for the shortage of childcare workers is the sheer volume of work. If we could develop a methodology to estimate the characteristics of each child, we could reduce the workload of childcare workers and adopt a more efficient training policy. In this study, we modeled a series of behaviors of infants in group conversations by reinforcement learning. We also discussed the characteristics of each child by visualizing the estimated values of parameters and the learning process obtained from the behavioral data of each child</p>

    DOI: 10.14864/fss.38.0_402

    CiNii Research

  • Consideration on suitable learning method in ocean parameter prediction for stable wave power generation

    Yamada Keisuke, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   38 ( 0 )   520 - 525   2022.09

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    2022.09.14  -  2022.09.16

    <p>In this paper, we predict the wave height and period by applying the reservoir computing model. We used 10 types of data including wave height and period as input data, and predicted the wave height and period for the next 24 hours from the 24-hour data. We tried the method of learning and predicting all the data with the same model and the method of learning and predicting the model separately for each data group classified according to the characteristics of the data, and compared the accuracy. For the learning model, we adopted reservoir computing, which is a framework based on recurrent neural network (RNN).</p>

    DOI: 10.14864/fss.38.0_520

    CiNii Research

  • Consideration of the Relationship between Psychological State and Sleep Duration Collected by MENTORE Application in University Karate Team

    Nakatani Keigo, Isogai Hirohisa, Saito Yoshiko, Sugino Yuko, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   38 ( 0 )   537 - 540   2022.09

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    2022.09.14  -  2022.09.16

    <p>In order to achieve high performance in a game, it is important to adjust physical and psychological conditioning. In particular, psychological conditioning has been evaluated using questionnaires to date. However, the duration of conventional studies is short, and only a few studies have collected data on a daily basis. The purpose of this study was to collect a large amount of daily conditioning data of university karate team members using the MENTORE application, and to analyze and discuss the correlation between the psychological state and sleep duration of university karate team members. Pearson's product-rate correlation coefficients were calculated for six measures of sleep duration and morning POES (Profile of Emotion States) and two measures of psychological state for 17 university karate club members who were the subjects of the study. The results showed that the mean values of Pearson's product-rate correlation coefficients for each measure of sleep duration and POES were similar to an iceberg shape. This suggests that getting enough sleep stabilizes the psychological state and leads to better performance.</p>

    DOI: 10.14864/fss.38.0_537

    CiNii Research

  • Estimation of Optimal Meta-Parameters for User in Oral Mucosal Disease Diagnosis Support System Reviewed International journal

    Ozaki Nanto, Ohtani Taishi, Habu Manabu, Tominaga Kazuhiro, Horio Keiichi

    International Journal of Innovative Computing, Information and Control ( ICIC International )   18 ( 4 )   1235 - 1245   2022.08

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    DOI: 10.24507/ijicic.18.04.1235

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  • Individual Differences in Cut-Out Areas of Oral Images in Oral Mucosal Disease Diagnosis Support System Reviewed International journal

    Ozaki Nanto, Ohtani Taishi, Habu Manabu, Tominaga Kazuhiro, Horio Keiichi

    Journal of Advanced Computational Intelligence and Intelligent Informatics ( Fuji Technology Press Ltd. )   26 ( 2 )   217 - 225   2022.03

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.20965/jaciii.2022.p0217

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  • Automatic Controlling Fish Feeding Machine Using Feature Extraction of Nutriment and Ripple Behavior Reviewed

    Hilmi Pradna, Keiichi Horio

    International Journal of Innovative Computing, Information and Control   17 ( 5 )   1483 - 1500   2021.09

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/ijicic.17.05.1483

  • Behavior Analysis of Children Using Inverse Reinforcement Learning in Group Discussion

    Hoji Yusuke, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   37 ( 0 )   462 - 465   2021.01

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    <p>In recent years, there has been a growing need to enhance the non-cognitive abilities of children in childcare settings. For this reason, it is necessary for childcare workers to teach children how to change their behavior to improve their non-cognitive abilities. However, in order to promote behavioral change, it is necessary to understand the situations and motivations under which children act. In this study, analyzes children’s behavior in group discussions using inverse reinforcement learning, which aims to search for reward functions that explain observed states and behaviors.</p>

    DOI: 10.14864/fss.37.0_462

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  • Topic estimation during group discussion using Topic Model

    Yamaguchi Hiroki, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   37 ( 0 )   472 - 475   2021.01

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    <p>In our laboratory, we are conducting research to analyze the characteristics of infants based on videos of group discussions of infants with the aim of reducing the burden on early childhood education for nursery teachers. In the processing before analysis, the numerical conversion of voice / action information from the moving image is performed manually. This process takes time to create data, and the evaluation is subjective, so an objective evaluation is required. Therefore, it is necessary to automate this process. In order to automate of numerical conversion of voice / behavior information from video, the purpose of this research is to acquire voice information such as "Are you talking about the theme?" The topic of the group was estimated by using LDA by dividing the video of the discussion at regular intervals, and the effectiveness of the method was verified.</p>

    DOI: 10.14864/fss.37.0_472

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  • Predicting Disease Activity for Biologic Selection In Rheumatoid Arthritis Reviewed

    Morio Yamauchi, Keiichi Horio

    Int. Conf. on Machine Learning Techniques and Data Science   2020.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    2020.12.19  -  2020.12.20

  • Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tank Reviewed

    Pradana H., Horio K.

    2020 Digital Image Computing: Techniques and Applications, DICTA 2020   2020.11

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/DICTA51227.2020.9363387

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  • Optimal Feature Identification for Machine Prediction of Wind-Wave Parameters at Wave Energy Converter Site Reviewed

    Umair M., Hashmani M.A., Keiichi H.

    2020 International Conference on Computational Intelligence, ICCI 2020   185 - 189   2020.10

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/ICCI51257.2020.9247677

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  • Wave Height and Peak Wave Period Prediction Using Recurrent Neural Networks Reviewed

    Osawa K., Yamaguchi H., Umair M., Hashmani M.A., Horio K.

    2020 International Conference on Computational Intelligence, ICCI 2020   1 - 4   2020.10

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/ICCI51257.2020.9247805

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  • Local spatial information with bag-of-visual-words model via graph-based representation for texture classification Reviewed

    Thewsuwan S., Horio K.

    International Journal of Innovative Computing, Information and Control   16 ( 5 )   1611 - 1621   2020.10

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/ijicic.16.05.1611

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  • Face tracking and detection of children faces in omnidirectional video Reviewed

    Briant E., Horio K.

    ICIC Express Letters, Part B: Applications   11 ( 1 )   85 - 91   2020.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/icicelb.11.01.85

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  • Evaluation of a commercial force sensor for real time applications Reviewed

    Almassri A.M.M., Hasan W.Z.W., Wada C., Horio K.

    ICIC Express Letters, Part B: Applications   11 ( 5 )   421 - 426   2020.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/icicelb.11.05.421

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  • Rule Extraction from Multivariable Data Based on Degree of Involvement on Component Plane of SOM

    Sasaki Masashi, Nakano Kazuhisa, Tanaka Yoshiya, Furukawa Tetsuo, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   35 ( 0 )   549 - 553   2019.01

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    <p>Using SOM of SOM2(SOM 2), which is an extension method of the self-organizing map (SOM), the relationship between each class (data set) was visualized in the component plane display. We extracted the rules by comparing the components. In this study, we tried to extract the rules using data from patients with rheumatoid arthritis.</p>

    DOI: 10.14864/fss.35.0_549

    CiNii Article

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    Other Link: http://id.ndl.go.jp/bib/029976190

  • Consideration of Effect of Feedback Comments to Mental Condition and Performance

    Tashiro Yuki, Isogai Hirohisa, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   35 ( 0 )   554 - 558   2019.01

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    <p>In order to perform better in competition sports, it is said that it is desirable for athletes to accurately grasp their own conditions and work on games and daily practice. Therefore, I developed an application that allows players to visually grasp the conditions through joint research with companies. In this paper, we focus on the contents of the comments (hereinafter referred to as "feedback comments") in the feedback given to the players in the app, and the differences in the contents affect the mental condition and performance of each player. I verified that there is. Specifically, prepare 3 types of feedback comments (positive content, candid content, content compared to the average value), and change the feedback comments periodically within a certain period, for each player what kind of We verified whether there was a tendency by a statistical test, and considered the optimal feedback according to the player's tendency.</p>

    DOI: 10.14864/fss.35.0_554

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    Other Link: https://ci.nii.ac.jp/naid/130007773106

  • Epilepsy EEG classification using morphological component analysis Reviewed

    2018 ( 1 )   2018.12

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1186/s13634-018-0568-2

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  • MCA Based Epilepsy EEG Classification Using Time Frequency Domain Features Reviewed

    2018-July   3398 - 3401   2018.10

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/EMBC.2018.8513017

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  • Consideration of Relationship between Shape and Angular Velocity of Particles under Electrorotation Reviewed

    2018-June   86 - 90   2018.08

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.23919/WAC.2018.8430452

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  • Development of Pillar Electrode Array for Electrorotation Analysis of Single Cells Reviewed

    2018-June   136 - 139   2018.08

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.23919/WAC.2018.8430406

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  • Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network Reviewed

    18 ( 8 )   2018.08

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/s18082561

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  • Texture classification by local spatial pattern mapping based on complex network model Reviewed

    Thewsuwan S., Horio K.

    International Journal of Innovative Computing, Information and Control   14 ( 3 )   1113 - 1121   2018.06

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  • SVM ensemble approaches for improving texture classification performance based on complex network model with spatial information Reviewed

    1 - 3   2018.05

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/IWAIT.2018.8369742

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  • Classification of Ictal and Interictal EEG Using RMS Frequency, Dominant Frequency Reviewed

    Arindam Gajendra Mahapatra,Keiichi Horio

    Biomedical Signal Processing and Control   44   168 - 180   2018.04

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.bspc.2018.04.007

  • Relationship Analysis Between Cephalometric Radiograph Shape and Swallowing Ability Using SOM2 and CCA-SOM Reviewed

    Hiroaki Koga,Ichiro Masui,Tetsuo Furukawa,Keiichi Horio

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   30 ( 2 )   517 - 524   2018.04

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    Language:Japanese   Publishing type:Research paper (scientific journal)

    Kyutacar

  • Texture Classification Based on Complex Network Model with Spatial Information Reviewed

    14 ( 3 )   1113 - 1121   2018.04

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  • Simultaneous analysis of subjective and objective data using coupled tensor self-organizing maps: Wine aroma analysis with sensory and chemical data Reviewed

    11306 LNCS   24 - 35   2018.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-030-04224-0_3

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  • Relationship Analysis Between Cephalometric Radiograph Shape and Swallowing Ability Using SOM<sup>2</sup> and CCA-SOM Reviewed

    KOGA Hiroaki, FURUKAWA Tetsuo, MASUI Ichiro, HORIO Keiichi

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ( Japan Society for Fuzzy Theory and Intelligent Informatics )   30 ( 2 )   517 - 524   2018.01

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    <p>In this paper, we propose a method of a relationship analysis between cephalometric radiograph shape data and swallowing ability data. In order to acquire new knowledge of the relationship, the shape should be represented without missing features. In addition, a method of the relationship analysis between two data sets which are observed by different ways, an X-ray image and swallowing ability tests. Quantization and correspondence of points by SOM<sup>2</sup> are employed for shape representation. A common map of CCA-SOM are employed for the relationship analysis method. The propose method provides relationships between cephalometric radiograph shape and swallowing ability.</p>

    DOI: 10.3156/jsoft.30.2_517

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    Other Link: http://hdl.handle.net/10228/00006799

  • Estimation of Agent's Learning Parameters from Its Learning Process and Methodology for Design of Rewards Reviewed

    23 ( 1 )   1 - 7   2018.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24466/ijbschs.23.1_1

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    Other Link: https://ci.nii.ac.jp/naid/130007518912

  • Multi Layered Self-Organizing Map Propagating Semantic Information and its Application to Shape Clustering

    HORIO Keiichi, MIZUTANI Ryuki, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   34 ( 0 )   442 - 445   2018.01

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    <p>The annotation of classification process when classifying the situation in automatic driving technology is said to be indispensable for fulfilling accountability when automatic driving vehicle caused an accident. It is possible to classify the situation by the local region by making the self-organizing map into multiple layers. Cognitive processes can be visualized by annotating the classification process by tracing the winner from the classified situation.In this paper, we classify road conditions using multi-layered selforganizing map and show the possibility of visualization of cognitive process in automatic driving technique by automating its annotation.</p>

    DOI: 10.14864/fss.34.0_442

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  • Reward Design Method Adapting to Agents' Learning Ability based on Self-Organizing Map with Evaluation Value

    HORIO Keiichi, MORI Ippei, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   34 ( 0 )   140 - 143   2018.01

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    <p>In education for children and guidance of sports, it is important to give appropriate instruction to learners. It is necessary to grasp the ability and characteristic of the learner by observing the learning process and to change the teaching method as needed. In this paper, we consider the learning parameter and appropriate giving rewards method, using simulation data which makes agent learn maze. For learning of the maze, we used Q-learning well known in the field of reinforcement learning. And we conducted experiments using multiple agents with different learning parameters. Agent behavior data at the middle stage of learning is classified by SOM and learning parameters are estimated. After that, we change the giving rewards method, and consider it according to the learning parameters from learning result.</p>

    DOI: 10.14864/fss.34.0_140

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  • Ensemble Classification for Robustness Improvement in Image-Based Diagnosis Support Systems Reviewed

    Keiichi Horio

    Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society   2017.07

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    Korea   Jeju   2017.07.11  -  2017.07.15

  • Classification of Ictal Interictal EEG Signals based on Bandwidth Features and their Ratio Reviewed

    Arindam G. Mahapatra,Keiichi Horio

    Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society   2017.07

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Korea   Jeju   2017.07.11  -  2017.07.15

  • Consideration of Shape Classification in Relationship Analysis between Maxillofacial Skeleton and Swallowing Function

    KUROIWA Masashi, KOGA Hiroaki, MASUI Ichiro, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   30 ( 0 )   76 - 79   2017.01

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    <p><i>this study aims to classify the shape of maxillofacial skeleton and find relationships between maxillofacial skeleton and swallowing function</i><tt><i>.</i></tt><i>We used SOM</i><sup><i>2</i></sup><i> for the shape classification and CCA-SOM for search the relationships</i><tt><i>.</i></tt><i>Previously</i><tt><i>,</i></tt><i>We use shape address for CCA-SOM</i><tt><i>.</i></tt><i>But We tried to use SOM</i><sup><i>2</i></sup><i>'s unit for CCA-SOM</i><tt><i>.</i></tt><i>Results show that We cannot find the relationships by using both methods</i><tt><i>.</i></tt><i>Next plan is execute CCA-SOM by using less-dimension maxillofacial skeleton data.</i><i> </i></p>

    DOI: 10.24466/pacbfsa.30.0_76

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    Other Link: https://ci.nii.ac.jp/naid/130007979941

  • Relationship between angular velocity and shape of cells rotating under dielectrophoresis and attempt of angular velocity correction

    MATSUYAMA Koya, KOGA Hiroaki, EGUCHI Masanori, YAMAKAWA Takeshi, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   30 ( 0 )   80 - 83   2017.01

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    <p><i>As a method of detecting CTC, there is a method of measuring angular velocity by electrorotation. However, the angular velocity varies greatly even for cells of the same type. In this paper, assuming that the shape is a cause of the cause, we investigate the correlation between cell shape and angular velocity. Two methods were used for shape representation. One is a method of expressing using area and perimeter. The other is to map the distance set data between the center of gravity and the contour on the two-dimensional plane using the SOM. Also, the angular velocity is corrected based on the shape.</i><i> </i></p>

    DOI: 10.24466/pacbfsa.30.0_80

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/130007979940

  • ′ Estimation of Agent s Learning Parameters from its Learning Process and Methodology for Design of Rewards

    MORI Ippei, FURUKAWA Tetsuo, HORIO keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   33 ( 0 )   559 - 564   2017.01

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    <p> </p>

    DOI: 10.14864/fss.33.0_559

    CiNii Article

    CiNii Research

  • Scene Classification and Automatic Annotation Based on Multi-layered Self-Organization Map

    MIZUTANI Ryuki, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   33 ( 0 )   675 - 678   2017.01

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    <p> </p>

    DOI: 10.14864/fss.33.0_675

    CiNii Article

    CiNii Research

  • Overcoming Drawback of Feature Instantaneous Bandwidth Using EMD for Epileptic Seizure Classification by RMS frequency Reviewed

    Arindam G. Mahapatra, Keiichi Horio

    Proc. of IEEE International Conference on System, Man, and Cybernetics   1322 - 1327   2016.10

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    Hungary   Budapest   2016.10.09  -  2016.10.12

  • Preprocessing Techniques Based on LBP and Gabor Filters for Clothing Classification Reviewed

    Srisupang Thewsuwan, Keiichi Horio

    Proc. of International Symposium on Intelligent Signal Processing and Communication Systems   96 - 101   2016.10

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Thailand   Phuket   2016.10.24  -  2016.10.27

  • Shape Classification of Cephalometric Radiograph Using TFSOMxSOM for Swallowing Function Analysis Reviewed

    Hiroaki Koga, Tetsuo Furukawa, Ichiro Masui, Keiichi Horio

    Proc. of International Workshop on Smart Info-Media Systems in Asia   263 - 268   2016.09

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    Thailand   Ayutthaya   2016.09.14  -  2016.09.17

  • Ensemble Classifier which is Robust Against Individual Difference in Diagnosis Support System of Oral Mucosal Disease Reviewed

    Nanto Ozaki, Kentaro Saito, Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga, Keiichi Horio

    Proc. of International Workshop on Smart Info-Media Systems in Asia   258 - 262   2016.09

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    Thailand   Ayutthaya   2016.09.14  -  2016.09.17

  • Is maxillofacial skeleton related to the swallowing function in the elderly?

    MASUI Ichiro, KOGA Hiroaki, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   29 ( 0 )   21 - 22   2016.01

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    <p><i>The swallowing function is achieved with the tongue, supra-hyoid muscles, pharynx and larynx muscles. The supra-hyoid muscles attached to the mandible pulls the hyoid bone up, the epiglottis covers the trachea during swallowing so that food does not enter the lungs. It is supposed that the maxillofacial skeleton might be related to swallowing performance. The aim of this study is to clarify the skeletal factors that affect swallowing with cephalometric and statistics analysis. The results showed that the mandibular anteroposterior position may be related to swallowing performance</i><i>.</i></p>

    DOI: 10.24466/pacbfsa.29.0_21

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/130007979865

  • Shape classification of maxillofacial skeleton using TFSOM×SOM

    KOGA Hiroaki, FURUKAWA Tetsuo, MASUI Ichiro, KUROIWA Masashi, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   29 ( 0 )   145 - 148   2016.01

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    <p><i>This study aims to classify the shape of maxillofacial skeleton and analyze swallowing function. We used TFSOM×SOM for the shape classification. We used CCA-SOM for the</i> <i>swallowing function analysis. The results show that this method can classify cephalometric radiograph according to some features of the shape, and We obtained swallowing function map.</i></p>

    DOI: 10.24466/pacbfsa.29.0_145

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/130007979841

  • The Cognitive Mechanisms of Multi-scale Perception for the Recognition of Extremely Similar Faces Reviewed

    Yasuomi D. Sato, Takao Nagatomi, Keiichi Horio, Hiroyuki Miyamoto

    Cognitive Computation   2015.02

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/s12559-015-9321-4

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    Other Link: http://link.springer.com/article/10.1007/s12559-015-9321-4

  • Human Tracking with Particle Filter Based on Locally Adaptive Appearance Model Reviewed

    Sangeun Lee and Keiichi Horio

    Journal of Signal Processing   18 ( 4 )   229 - 232   2014.05

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    Kyutacar

    CiNii Article

  • A Modified Real-Coded Genetic Algorithm Considering with Fitness-based Variability Reviewed

    Yoshiaki Ueda, Keiichi Horio, Ryosuke Kubota

    International Journal of Innovative Computing, Information and Control   10 ( 4 )   1509 - 1518   2014.04

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    Kyutacar

  • Human Tracking based on Particle Filter with Adaptive Local Discriptor Reviewed

    Sangeun Lee, Keiichi Horio

    Proc. of 9th Int. Conf. on Signal Image Technology and Internet Based Systems   207 - 211   2013.12

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    Japan   Kyoto   2013.12.02  -  2013.12.05

    DOI: 10.1109/SITIS.2013.44

    Scopus

  • Signal Sources Localization Using GA Preserving Genetic Diversity Based on Fitness Values Reviewed

    Shudai Ishikawa, Yoshiaki Ueda, Ryosuke Kubota, Keiichi Horio, Takeshi Yamakawa

    Proc. of Int. Symposium on Intelligent Signal Processing and Communication Systems   718 - 721   2013.11

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    Japan   Naha   2013.11.12  -  2013.11.15

    DOI: 10.1109/ISPACS.2013.6704643

    Scopus

  • Human Tracking Using Particle Filter with Reliable Appearance Model Reviewed

    Sangeun Lee, Keiichi Horio

    Proc. of SICE Annual Conference   1418 - 1424   2013.09

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    Japan   Nagoya   2013.09.14  -  2013.09.17

    Kyutacar

  • Discrimination of Oral Mucosal Disease Inspired by Diagnostic Process of Specialist Reviewed

    Yusaku Nishi, Keiichi Horio, Kentaro Saito, Manabu Habu, Kazuhiro Tominaga

    Journal of Medical and Bioengineering   2 ( 1 )   57 - 61   2013.03

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    Kyutacar

  • A Modified Selection Operator Considering with Fitness-based Variability in Real-coded Genetic Algorithm Reviewed

    Yoshiaki Ueda, Ryosuke Kubota, Keiichi Horio

    Proc. of Int. Workshop on Smart Info-Media Systems in Asia (SISA2012)   156 - 161   2012.09

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    Thailand   Bangkok   2012.09.06  -  2012.09.08

  • Stressed State Classification Based on PPG Dynamics Using Neo Fuzzy Neuron Module mnSOM Reviewed

    Ying Li, Keiichi Horio

    roc. of Int. Workshop on Smart Info-Media Systems in Asia (SISA2012)   185 - 188   2012.09

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    Thailand   Bangkok   2012.09.06  -  2012.09.08

  • Efficient Localization using Particle Filter with Clustering Considering Obstacles Reviewed

    Tomohiko Fukuda, Keiichi Horio

    Proc. of 2012 15th Int. Conf. on Information Fusion (FUSION 2012)   121 - 126   2012.07

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    Singapore   2012.07.09  -  2012.07.12

  • Detection Squamous Cancer Based on Structure and Gradient of Intraoral Image Reviewed

    Yusaku Nishi,Taishi Otani, Manabu Habu, Keiichi Horio, Kazuhiro Tominaga

    Proc. of Int. Tech. Conf. on Circuits/Systems, Computers and Communications (ITC-CSCC 2012)   2012.07

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    Japan   Sapporo   2012.07.15  -  2012.07.18

  • Extrapolation of Group Proximity from Member Relations Using Embedding and Distribution Mapping Reviewed

    Hideaki Misawa, Keiichi Horio, Nobuo Morotomi, Kazumasa Fukuda, Hatsumi Taniguchi

    IEICE Trans. on Information and Systems   E95-D ( 3 )   804 - 811   2012.03

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    DOI: 10.1587/transinf.E95.D.804

    Scopus

    CiNii Article

  • Decision Making Based on Reinforcement Learning and Emotion Learning: Emergence of Cooperative Behavior with Selfish Judgement Reviewed

    Hideaki Misawa, Atsushi Matsuda, Keiichi Horio

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   24 ( 1 )   582 - 591   2012.01

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    Kyutacar

    CiNii Article

  • Visualization of Multiple Class Proximity Data Using Proximity Embedding and a Self-Organizing Network Reviewed

    Hideaki Misawa,Keiichi Horio,Kazumasa Fukuda,Naoko Ueda,Hatsumi Taniguchi

    ICIC Express Letters, Part B   2 ( 2 )   in Press - in Press   2011.04

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  • Improvement of PPG Based Stress Estimation by Dimensionality Reduction Reviewed

    Ying Li,Keiichi Horio

    2011 Int. Workshop on Nonlinear Circuits, Communication and Signal Processing (NCSP'11)   1 ( 1 )   67 - 70   2011.03

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    China   Tianjin   2011.03.01  -  2011.03.03

  • Action Learning with Multimodal Sensory Motor Coordination by Dynamic Self-Organizing Relationship Network Reviewed

    Shunsuke Sakaguchi,Keiichi Horio,Takeshi Yamakawa

    2011 Int. Workshop on Nonlinear Circuits, Communication and Signal Processing (NCSP'11)   1 ( 1 )   32 - 35   2011.03

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    China   Tianjin   2011.03.01  -  2011.03.03

  • Milti-space Competitive DGA and its Application to Localization of Multiple Signal Sources Reviewed

    Keiichi Horio,Shudai Ishikawa,Hideaki Misawa,Tatsuji Tokiwa,Ryosuke Kubota,Takeshi Yamakawa

    World Congress on Biologically Inspired Computing (NaBIC2010)   1 ( 1 )   in CD-ROM   2010.12

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    北九州   2010.12.15  -  2010.12.17

  • Mucous Membrane Diseases Diagnosis Support System Using Probabilistic Relaxation Reviewed

    Keiichi Horio,Shuhei Matsumoto,Noriaki Suetake,Taishi Ohtani,Manabu Habu,Kazuhiro Tominaga,Takeshi Yamakawa

    10th Int. Symposium on Communication and Information Technologies (ISCIT2010)   1 ( 1 )   in CD-ROM   2010.10

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    東京   2010.10.26  -  2010.10.29

    DOI: 10.1109/ISCIT.2010.5664852

    Scopus

  • Signal Source Localization by Using Self-Organizing Relationship Network Reviewed

    Tatsuji Tokiwa,Satoru Ishizuka,Keiichi Horio,Masami Fujii,Michiyasu Suzuki,Takeshi Yamakawa

    Proc. of World Automation Congress (WAC2010)   1 ( 1 )   in CD-ROM   2010.09

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    神戸   2010.09.20  -  2010.09.22

  • The Decision Making Method Based on Emotional Judgement Reviewed

    Keiichi Horio,Atsushi Matsuda

    Proc. of World Automation Congress (WAC2010)   1 ( 1 )   in CD-ROM   2010.09

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    神戸   2010.09.20  -  2010.09.22

  • Visualization and Analysis of Mental States Based on Photoplethysmogram Reviewed

    Ying Li,Keiichi Horio

    ICIC Express Letters   4 ( 3(B) )   923 - 928   2010.04

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  • Visualization and Analysis of Mental States Based on Photoplethysmogram Reviewed

    Keiichi Horio,Ying Li

    Fourth International Conference on Innovative Computing, Information and Control   1 ( 1 )   in DC-ROM   2009.12

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    Taiwan   Kaohsiung   2009.12.07  -  2009.12.09

  • Diagnosis Support System for Mucous Membrane Diseases in Oral Cavity Reviewed

    Keiichi Horio,Shuhei Matsumoto,Taishi Ohtani,Manabu Habu,Kazuhiro Tominaga,Takeshi Yamakawa

    16th Int. Conf. on Neural Information Processing   1 ( 1 )   449 - 456   2009.12

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    Thailand   Bangkok   2009.12.01  -  2009.12.05

  • Adaptive Skin Color Detection Using Multiple Skin Color Models Reviewed

    Keiichi Horio,Tomohiro Katayama

    5th Int. Workshop on Computational Intelligence and Applications   1 ( 1 )   225 - 229   2009.11

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    広島   2009.11.10  -  2009.11.12

  • Surface Roughness Measurement Using Shadows Produced by Circulating Light Sources Reviewed

    T. Hiratsuka,K. Horio,T. Yamakawa

    New Mathematics and Natural Computation   5 ( 1 )   335 - 352   2009.03

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  • Self-Organizing Map with Distance Measure Defined by Data Distribution Reviewed

    K. Horio,T. Koga,T. Yamakawa

    Proc. of World Automation Congress (WAC2008)   1 ( 1 )   2008.10

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    USA   Hawaii   2008.09.28  -  2008.10.02

  • SOM based on Nonlinear Distance Measure Defined by Graph Reviewed

    K. Horio,T. Koga,T. Yamakawa

    Proc. of Int. Conf. on Soft Computing and Intelligent Systems (SCIS2008)   1 ( 1 )   1705 - 1708   2008.09

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    nagoya   2008.09.17  -  2008.09.21

  • An Implementation of Intrinsic Emotions on an Autonomous Robot with the Emotional Expression Model of Amygdala Reviewed

    S. Sonoh,S. Aou,K. Horio,H. Tamukoh,T. Koga,N. Shimo,T. Yamakawa

    roc. of Int. Conf. on Soft Computing and Intelligent Systems (SCIS2008)   1 ( 1 )   1894 - 1899   2008.09

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    Nagoya   2008.09.17  -  2008.09.21

  • Diversive and Specific Curiosities for Effective Learning Reviewed

    K. Horio,N. Shimo,H. Tamukoh,T. Koga,S. Sonoh,T. Yamakawa

    Proc. of Int. Conf. on Soft Computing and Intelligent Systems (SCIS2008)   1 ( 1 )   1912 - 1915   2008.09

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    Nagoya   2008.09.17  -  2008.09.21

  • A Novel Selection Circuit Based on Rough Comparison Method for Genetic Algorithm Hardware Reviewed

    Tomokazu Hiratsuka,Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    IEEJ Trans. on Electronics, Information and Systems   128-C ( 3 )   352 - 362   2008.03

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  • 良否を含む顎矯正手術事例の自己組織化学習による集約とその手術計画立案への援用 Reviewed

    古賀崇了,堀尾恵一,升井一朗,山川烈

    知能と情報(日本知能情報ファジィ学会誌)   20 ( 1 )   41 - 52   2008.01

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  • Summarization and Visualization Tool for Orthognathic Surgery Planning Reviewed

    Takanori Koga,Keiichi Horio,Masui Ichito,Takeshi Yamakawa

    Proc. of Int. Conf. on Soft Computing and Human Sciences (SCHS2007)   113 - 118   2007.08

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    Kitakyushu   2007.08.02  -  2007.08.05

  • Handwritten Character Recognition Based on Relative Position of Local Features Extracted by Self-Organizing Maps Reviewed

    Keiichi Horio,Takeshi Yamakawa

    International Journal of Innovative Computing, Information and Control   3 ( 4 )   789 - 798   2007.08

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  • Bankruptcy Distinction Based on Financial Statements of Past Few Years and Visual Analysis Reviewed

    Hiroshi Shinohara,Keiichi Horio,Takeshi Yamakawa

    Proc. of Int. Symposium on Management Engineering (ISME2007)   in CD-ROM   2007.03

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    Kitakyushu   2007.03.10  -  2007.03.12

  • A Bit-Shifting-Based Fuzzy Inference for Self-Organizing Relationship (SOR) Network Reviewed

    Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    IEICE Electronics Express   4 ( 2 )   60 - 65   2007.02

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  • Binary Self-Organizing Map with Modified Updating Rule and Its Application to Reproduction of Genetic Algorithm Reviewed

    Ryosuke Kubota,Keiichi Horio,Takeshi Yamakawa

    IEICE Trans. on Information and Systems   E90-D ( 1 )   382 - 383   2007.01

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  • Self-Organizing Map with Input Data Represented as Graph Reviewed

    Takeshi Yamakawa,Keiichi horio,Masaharu Hoshino

    Proc. of International Conference on Neural Information Processing (ICONIP2006)   907 - 914   2006.10

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    China   HongKong   2006.10.03  -  2006.10.06

  • A Digital Hardware Architecture of Self-Organizing Relationship (SOR) Network Reviewed

    Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    Proc. of International Conference on Neural Information Processing (ICONIP2006)   1168 - 1177   2006.10

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    China   HongKong   2006.10.03  -  2006.10.06

  • Evaluation-based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network Reviewed

    Takeshi Yamakawa,Keiichi Horio,Takahiro Tanaka

    Proc. of International Conference on Neural Information Processing (ICONIP2006)   9 - 8-977   2006.10

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    China   HongKong   2006.10.03  -  2006.10.06

  • Wide TD-Error Propagation for Fast Convergence of Reinforcement Learning Based on Classification of States Reviewed

    Takeshi Yamakawa,Keiichi Horio,Yoshitaka Inoue

    Proc. of Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on advanced Intelligent Systems (SCIS&ISIS2006)   573 - 577   2006.09

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    Tokyo   2006.09.20  -  2006.09.24

  • An Improvement of Selection Strategy Using Self-Organizing Maps with Two Type Input Vectors as Reinforcer/Punisher Reviewed

    Satoshi Sonoh,Keiichi Horio,Ryosuke Kubota,Takeshi Yamakawa

    Proc. of Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on advanced Intelligent Systems (SCIS&ISIS2006)   578 - 582   2006.09

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    Tokyo   2006.09.20  -  2006.09.24

  • Pattern Recognition Based on Relative Position of Local Features Using Self-Organizing Map Reviewed

    Keiichi Horio,Akira Aikawa,Takeshi Yamakawa

    Proc. of International Conference on Innovative Computing, Information and Control (ICICIC2006)   1   293 - 296   2006.09

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    China   Beijing   2006.08.30  -  2006.09.01

  • Genetic Algorithm with Modified Reproduction Strategy Based on Self-Organizing Map and Usable Schema Reviewed

    Ryosuke Kubota,Keiichi Horio,Takeshi Yamakawa

    Brain-Inspired IT II International Congress Series   1291   169 - 172   2006.06

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  • Inverse Halftoning Based on Pattern Classifier and Filters Constructed by mnSOM Reviewed

    Keiichi Horio,Noriaki Suetake

    Brain-Inspired IT II International Congress Series   1291   177 - 180   2006.06

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  • Learning of SOR Network Employing the Soft-Max Adaptation Rule of Neural Gas Network Reviewed

    Takanori Koga,Keiichi Horio,Takeshi Yamakawa

    Brain-Inspired IT II International Congress Series   1291   165 - 168   2006.06

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  • The Self-Organizing Relationship (SOR) Network Employing Fuzzy Inference Based Heuristic Evaluation Reviewed

    Takanori Koga,Keiichi Horio,Takeshi Yamakawa

    Neural Networks   19   299 - 311   2006.04

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  • A Fast TD-error Propagation Method Considering Similar States for Reinforcement Learning Reviewed

    Takeshi Yamakawa,Keiichi Horio,Yoshitaka Inoue

    Proc. of the 3rd International Symposium on Management Engineering   ( in DC-ROM )   2006.03

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    Kitakyushu   2006.03.10  -  2006.03.12

  • Reproduction Strategy Based on Self-Organizing Map for Genetic Algorithms Reviewed

    Ryosuke Kubota,Keiichi Horio,Takeshi Yamakawa

    Int. J. of Innovative Computing, Information and Control   1 ( 4 )   595 - 607   2005.11

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  • 重み付き距離測度に基づく自己組織化マップによる階層型パターン分類法 Reviewed

    堀尾恵一,升井一朗,熊本将志,山川烈

    電子情報通信学会論文誌D-II   J88-D-II ( 11 )   2260 - 2268   2005.11

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  • Batch Learning of the Self-Organizing Relationship (SOR) Network Reviewed

    Takeshi Yamakawa,Keiichi Horio,Satoshi Sonoh

    Neural Information Processing - Letters and Reviews   8 ( 3 )   31 - 38   2005.10

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  • Batch Learning Algorithm of SOM with Attractive and Repulsive Data Reviewed

    Tetsuo Furukawa,Satoshi Sonoh,Keiichi Horio,Takeshi Yamakawa

    Proc. of Workshop of Self-Organizing Maps (WSOM'05)   1 ( 1 )   413 - 420   2005.09

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    France   Paris   2005.09.05  -  2005.09.08

  • Binary SOM Based on Significance of Inputs and its Application to Reproduction of GA Reviewed

    Ryosuke Kubota,Keiichi Horio,Takeshi Yamakawa

    Proc. of Workshop on Self-Organizing Maps (WSOM'05)   1 ( 1 )   221 - 218   2005.09

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    France   Paris   2005.09.05  -  2005.09.08

  • Application of Brain-Inspired SOR Network to Controller Design and Knowledge Acquisition Reviewed

    Takanori Koga,Keiichi Horio,Takeshi Yamakawa

    Proc. of Workshop on Self-Organizing Maps (WSOM'05)   1 ( 1 )   687 - 694   2005.09

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    France   Paris   2005.09.05  -  2005.09.08

  • Nonlinear Adaptive Manifold Self-Organizing Map and Its Application to Pose Invariant Face Recognition Reviewed

    Hideaki Kawano,Keiichi Horio,Takeshi Yamakawa

    IEE of Japan   125-C ( 6 )   948 - 955   2005.06

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  • A Pattern Classification Method using Kernel Adaptive-Subspace Self-Organizing Map Reviewed

    Hideaki Kawano,Keiichi Horio,Takeshi Yamakawa

    IEE of Japan Transactions on Electronics, Information and Systems   125 ( 1 )   149 - 150   2005.04

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  • A Contorller Design Method for an Articulated Vehicle Employing Self-Organizing Relationship Network Reviewed

    Takanori Koga,Keiichi Horio,Takeshi Yamakawa

    Proc. of the 10th Int. Symposium on Artificial Life and Robotics (AROB'05)   2005.02

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    Beppu   2005.02.04  -  2005.02.06

  • Optimal Design of Reproduction Strategy in Real-coded Genetic Algorithm using Self-Organizing map Reviewed

    Ryosuke Kubota,KeiichiHorio,Takeshi Yamakawa

    Proceedings of NCEI'04   26 - 27   2004.12

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    New Zealand   Auckland   2004.12.13  -  2004.12.15

  • Medofied Execution Mode of Self-Organizing Relationship (SOR) Network for Efficient Digital Hardware Implementation Reviewed

    Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    Proceedings of NCEI'04   90 - 01   2004.12

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    New Zealand   Auckland   2004.12.13  -  2004.12.15

  • Adaptive Affine Subspace Self-organizing Map with Kernel Method Reviewed

    Hideaki Kawano,Keiichi Horio,Takeshi Yamakawa

    Proceedings of ICONIP2004   387 - 392   2004.11

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    インド   Kolkata   2004.11.22  -  2004.11.25

  • Self-Organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control Reviewed

    Takanori Koga,Keiichi Horio,Takeshi Yamakawa

    Proceedings of ICONIP2004   368 - 374   2004.11

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    インド   Kolkata   2004.11.22  -  2004.11.25

  • Feedback Nonlinear Adaptive Manifold SOM for Hand Gesture Classification Reviewed

    Hideaki Kawano,Keiichi Horio,Takeshi Yamakawa

    Proceedings of SCIS & ISIS 2004   2004.09

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    Yokohama   2004.09.21  -  2004.09.24

  • Self-Organizing Map Hardware Accelerator System and its Application to Realtime Image Enlargement Reviewed

    Hakaru Tamukoh,Takashi Aso,Keiichi Horio,Takeshi Yamakawa

    Proceedings of IJCNN'04   2683 - 2687   2004.07

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    Hungary   Budapest   2004.07.25  -  2004.07.29

  • Kernel-Based Adaptive-Subspace Self-Organizing Map as a Nonlinear Subspace Pattern Recognition Reviewed

    Hideaki Kawano,Takeshi Yamakawa,Keiichi Horio

    Proceedings of WAC2004   2004.07

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    Spain   Sevilla   2004.06.28  -  2004.07.01

  • Hybrid Hardware/Software System for Codebook-Based Image Enlargement Employing Self-Organizing Map Reviewed

    Hakaru Tamukoh,Takashi Aso,Keiichi Horio,Takeshi Yamakawa

    Proceedings of WAC2004   2004.07

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    Spain   Sevilla   2004.06.28  -  2004.07.01

  • Feedback adaptive subspace self-organizing map for robust spatio-temporal pattern classification Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Brain-inspired Information Technology Series I   1269   125 - 128   2004.06

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  • Self-organizing relationship network for constructing I/O relationship based on subjective and objective evaluations Reviewed

    Takeshi Yamakawa,Keiichi Horio,Takanori Koga

    Brain-Inspired IT I International Congress Series   1269   137 - 140   2004.06

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  • Fast Learning Algorithm for Self-Organizing Map Employing Rough Comparison WTA and its Digital Hardware Implementation Reviewed

    Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    IEICE Trans. on Electronics   E87-C ( 11 )   1787 - 1794   2004.04

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  • Reproduction Strategy Based on Self-Organizing Map for Real-coded Genetic Algorithms Reviewed

    Ryosuke Kubota,Keiichi Horio,Takeshi Yamakawa

    Neural Information Processing Letters and Reviews   5 ( 2 )   27 - 32   2004.04

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  • Feedback adaptive subspace self-organizing map for robust spatio-temporal pattern classification Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Brain-inspired Information Technology Series   125 - 128   2004.03

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    Kitakyushu   2004.03.07  -  2004.03.09

  • Self-organizing relationship network for constructing I/O relationship based on subjective and objective evaluations Reviewed

    Takashi Yamakawa,Keiichi Horio,Takanori Koga

    Brain-inspired Information Technology Series   137 - 140   2004.03

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    Kitakyushu   2004.03.07  -  2004.03.09

  • Robot Manipulator Control Using Topology Representing Network According to Initial Posture Reviewed

    Takeshi Yamakawa,Keiichi Horio,Keisuke Ueno

    Proc. of the Ninth Symposium on Artificial Life and Robotics (AROB'04)   1 ( 1 )   283 - 286   2004.01

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    Beppu   2004.01.28  -  2004.01.30

  • Fast Learning Algorithm for Self-Organizing Map and its Digital Hardware Implementation Reviewed

    Hakaru Tamukoh,Keiichi Horio,Takeshi Yamakawa

    Proc. of Workshop on Self-Organizing Maps (WSOM'03)   1 ( 1 )   11 - 14   2003.04

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    2003.04  -  2003.04

  • Inverse Execution Mode of the SOR Network and its Application to Multi-Values Function Reviewed

    Takeshi Yamakawa,Keiichi Horio,Satoshi Sono

    Proc. of Workshop on Self-Organizing Maps (WSOM'03)   1 ( 1 )   273 - 276   2003.04

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    2003.04  -  2003.04

  • Hybrid System of ASSOM and Feedback SOM for Spatio-Temporal Pattern Classification Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of Workshop on Self-Organizing Maps (WSOM'03)   1 ( 1 )   140 - 143   2003.04

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    2003.04  -  2003.04

  • Advanced Self-Organizing Maps Using Binary Weight Vector and Its Digital Hardware Design Reviewed

    Takeshi Yamakawa,Keiichi Horio,Tomokazu Hiratsuka

    Proc. of the 9th Int. Conf. on Neural Information Processing (ICONIP2002)   CD-ROM   2002.11

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    Singapore   2002.11.18  -  2002.11.22

  • Hardware Design of Self-Organizing Maps Using Pulse Width Modulation Based Signal Processing Reviewed

    Takeshi Yamakawa,Keiichi Horio,Jun-ichi Takatori

    Proc. of the 1st Int. Conf. on Soft Computing and Intelligent Systems (SCIS2002)   CD-ROM   2002.10

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    Tsukuba, Japan   2002.10.21  -  2002.10.25

  • Hierarchical Classification Method Based on Self-Organizing Maps and Genetic Algorithm Reviewed

    Keiichi Horio,Ichiro Masui,Masashi Kumamoto,Takeshi Yamakawa

    Proc. of the 1st Int. Conf. on Soft Computing and Intelligent Systems (SCIS2002)   CD-ROM   2002.10

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    Tsukuba, Japan   2002.10.21  -  2002.10.25

  • Modified Counterpropagation Employing Neo Fuzzy Neurons and Its Application to System Modeling Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of 2001 the Int. Conf. on Info-tech and Info-net   50 - 55   2001.11

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    Beijing, China   2001.10.29  -  2001.11.01

  • A New Interpolation Algorithm Employing a Self-Organizing Map Reviewed

    Takeshi Yamakawa,Keiichi Horio,Yohei Oosako,Tsutomu Miki

    Proc. of WSOM'01 (Advances in Self-Organizing Maps, Nigel Allinson, Hujun Yin, Lesely Allinson and John Slack (Eds))   118 - 123   2001.06

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    Lincoln, U.K.   2001.06.13  -  2001.06.15

  • A New Method of Hough Transform by Using SOM with Input Vector Transformation Reviewed

    Takeshi Yamakawa,Keiichi Horio,Shiho Izumi,Tsutomu Miki

    Proc. of WSOM'01 (Advances in Self-Organizing Maps, Nigel Allinson, Hujun Yin, Lesely Allinson and John Slack (Eds))   167 - 172   2001.06

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    Lincoln, U.K.   2001.06.13  -  2001.06.15

  • A SOM Association Network Reviewed

    Takeshi Yamakawa,Keiichi Horio,Ryosuke Kubota

    Proc. of WSOM'01 (Advances in Self-Organizing Maps, Nigel Allinson, Hujun Yin, Lesely Allinson and John Slack (Eds))   15 - 20   2001.06

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    Lincoln, U.K.   2001.06.13  -  2001.06.15

  • Feedback Self-Organizing Map and Its Application to Spatio-Temporal Pattern Classification Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Int. Journal of Computational Intelligence and Applications   1 ( 1 )   1 - 18   2001.01

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  • Adaptive Self-Organizing Relationship Network and Its Application to Adaptive Control Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of the 6th Int. Conf. on Soft Computing and Information/Intelligent Systems (IIZUKA2000)   299 - 304   2000.10

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    Iizuka, Japan   2000.10.01  -  2000.10.05

  • Modified Adaptive Subspace Self-Organizing Map and Its Application to Speaker Classification Reviewed

    Takeshi Yamakawa,Keiichi Horio,Ryosuke Kubota

    Proc. of the 6th Int. Conf. on Soft Computing and Information/Intelligent Systems (IIZUKA2000)   215 - 220   2000.10

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    Iizuka, Japan   2000.10.01  -  2000.10.05

  • Nonlinear Quantization Method Depending on Occurrence Frequency by Using Modified Self-Organizing Map Reviewed

    Takeshi Yamakawa,Keiichi Horio,Syunsuke Iwasaki

    Proc. of the World Automation Congress (WAC2000)   215 - 220   2000.06

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    Hawaii, U.S.A.   2000.06.11  -  2000.06.16

  • A Recurrent Self-Organizing Map and Its Application to a Spatio-Temporal Pattern Recognition Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of the Int. Conf. on Mathematical Modeling of Nonlinear Systems (ICOMMONS'99)   11 - 14   1999.12

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    Kharagpur, India   1999.12.09  -  1999.12.11

  • A Nonlinear Control System Established by Self-Organizing Relationship (SOR) Network Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of the Int. Conf. on Mathematical Modeling of Nonlinear Systems (ICOMMONS'99)   23 - 25   1999.12

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    Kharagpur, India   1999.12.09  -  1999.12.11

  • Self-Organizing Relationship (SOR) Network quivalent to a Fuzzy Inference with Automatically Extracted Fuzzy If-Then Rules- Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of 1999 Int. Symposium on Nonlinear Theory and its Applications (NOLTA?   53 - 56   1999.12

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    Hawaii, U.S.A.   1999.11.28  -  1999.12.02

  • A Recurrent Self-Organizing Map Including Feedback Loops for Classification of Spatio-Temporal Patterns Reviewed

    Keiichi Horio,Takeshi Yamakawa

    Proc. of ICONIP/ANZIIS/ANNES'99 Int. Workshop and Expo.   13 - 16   1999.11

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    Dunedin/Queenstown, New Zealand   1999.11.22  -  1999.11.23

  • 自己組織化関係ネットワークを用いた主観に基づく画像変換 Reviewed

    堀尾恵一,原口琢磨,山川烈

    バイオメディカル・ファジィ・システム学会誌   1 ( 1 )   78 - 86   1999.10

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  • Self-Organizing Relationship (SOR) Network Reviewed

    Takeshi Yamakawa,Keiichi Horio

    IEICE Trans. on Fundamentals   E82-A ( 8 )   1674 - 1678   1999.08

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  • An Intuitive Contrast Enhancement of an Image Data Employing the Self-Organizing Relationship (SOR) Reviewed

    Keiichi Horio,Takuma Haraguchi,Takeshi Yamakawa

    Proc. of Int. Joint Conf. on Neural Networks (IJCNN'99)   CD-ROM   1999.07

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    Washington D.C., U.S.A   1999.07.10  -  1999.07.16

  • A Novel Image Enhancement Method Based on Intuitive Evaluation Reviewed

    Keiichi Horio,Takuma Haraguchi,Takeshi Yamakawa

    Proc. of 2nd Int. Conf. on Information Fusion (FUSION'99)   657 - 662   1999.07

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    Sunnyvale, U.S.A   1999.07.06  -  1999.07.08

  • New Design Method of Fuzzy Logic Controller Using Self-Organizing Relationship Reviewed

    Takeshi Yamakawa,Keiichi Horio

    Proc. of the 5th Int. Conf. on Soft Computing and Information/Intelligent Systems (IIZUKA'98)   155 - 158   1998.10

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    Iizuka, Japan   1998.10.16  -  1998.10.20

  • Hardware Implementation of Fuzzy Logic Power System Stabilizer Reviewed

    Takeshi Yamakawa,Eiji Uchino,Keiichi Horio

    Proc. of the World Automation Congress (WAC'96)   725 - 730   1996.05

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    Montpellier, France   1996.05.28  -  1996.05.30

▼display all

Conference Prsentations (Oral, Poster)

  • ガボール特徴量に基づく口腔内白斑形状の識別

    小野 史貴, 三澤 秀明, 堀尾 恵一, 大谷 泰志, 土生 学, 冨永 和宏, 山川 烈

    JSAI大会論文集 

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    Event date: 2018.07.30   Language:Japanese  

    <p>口腔内の白斑には前癌病変の白板症があるが,類似した症状の扁平苔癬と誤認する可能性がある.前者は白斑が均一であり,後者はレース状となる特徴があるが,初期診療を行う歯科医では判別が難しい場合がある.本研究では,口腔画像に基づき白斑形状を識別する診断支援システムの開発を行う.本稿では,ガボール特徴量を利用する効果について,識別実験を通してその有効性を検討する.</p>

    CiNii Article

  • Multi Layered Self-Organizing Map Propagating Semantic Information and its Application to Shape Clustering

    HORIO Keiichi, MIZUTANI Ryuki, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2018.01   Language:Japanese  

    CiNii Article

  • Reward Design Method Adapting to Agents' Learning Ability based on Self-Organizing Map with Evaluation Value

    HORIO Keiichi, MORI Ippei, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2018.01   Language:Japanese  

    CiNii Article

  • Scene Classification and Automatic Annotation Based on Multi-layered Self-Organization Map

    MIZUTANI Ryuki, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2017.01   Language:Japanese  

    CiNii Article

  • Hazard Anticipation System toward Realizing Autonomous Vehicle

    Horio Keiichi, Koga Hiroaki, Narain Jaiprakash, Tsuchiya Ryo, Yano Sora

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2016.01   Language:Japanese  

    CiNii Article

  • 入力データ集合がグラフで表現された自己組織化マップ

    本人

    第22回ファジィシステムシンポジウム講演論文集 

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    Event date: 2006.09.06 - 2006.09.08   Language:Japanese  

  • 重み付き入力データを用いた位相表現ネットワークによる自己組織化関係ネットワークの改善

    本人

    第22回ファジィシステムシンポジウム講演論文集 

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    Event date: 2006.09.06 - 2006.09.08   Language:Japanese  

  • 術後側貌の審美性を考慮した顎矯正手術支援システムの開発 その2

    本人

    バイオメディカル・ファジィ・システム学会第18回年次大会講演論文集 

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    Event date: 2005.10.29 - 2005.10.30   Language:Japanese  

  • スキーマを利用した自己組織化マップの重み更新則とその遺伝的アルゴリズムへの応用

    情報科学専攻

    バイオメディカル・ファジィ・システム学会第18回年次大会講演論文集 

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    Event date: 2005.10.29 - 2005.10.30   Language:Japanese  

  • バイナリ重みベクトルを扱う自己組織化マップを再生に用いた遺伝的アルゴリズム

    本人

    第21回ファジィシステムシンポジウム講演論文集 

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    Event date: 2005.09.07 - 2005.09.09   Language:Japanese  

  • 競合層がグラフで表現された自己組織化マップの高速化

    脳情報専攻

    第21回ファジィシステムシンポジウム講演論文集 

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    Event date: 2005.09.07 - 2005.09.09   Language:Japanese  

  • 自己組織化関係ネットワークのためのメンバーシップ関数生成ハードウェア

    脳情報専攻

    第21回ファジィシステムシンポジウム講演論文集 

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    Event date: 2005.09.07 - 2005.09.09   Language:Japanese  

  • 簡便なデータを用いて正確な経営状態分類マップを作成する一手法

    脳情報専攻

    第21回ファジィシステムシンポジウム講演論文集 

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    Event date: 2005.09.07 - 2005.09.09   Language:Japanese  

  • ハードウェア化に適した改良版自己組織化関係ネットワーク

    脳情報専攻

    第18回回路とシステム軽井沢ワークショップ 

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    Event date: 2005.04.25 - 2005.04.26   Language:Japanese  

  • 複数の競合層の位相関係を考慮した自己組織化マップ

    本人

    第6回自己組織化マップ研究会講演論文集 

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    Event date: 2005.03.26   Language:Japanese  

  • バッチ学習型自己組織化関係ネットワークの提案

    脳情報専攻 園尾聡

    第6回自己組織化マップ研究会講演論文集 

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    Event date: 2005.03.26   Language:Japanese  

  • 術後側貌の審美性を考慮した顎矯正手術支援システムの開発 その1

    本人

    バイオメディカル・ファジィ・システム学会第17回年次大会講演論文集 

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    Event date: 2004.11.13 - 2004.11.14   Language:Japanese  

  • 自己組織化マップを用いた財務分析ツール

    脳情報専攻 篠原博史

    第20回ファジィシステムシンポジウム講演論文集 

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    Event date: 2004.06.02 - 2004.06.05   Language:Japanese  

  • 尺度の異なるデータを扱う自己組織化マップ

    脳情報専攻 原潤

    第20回ファジィシステムシンポジウム講演論文集 

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    Event date: 2004.06.02 - 2004.06.05   Language:Japanese  

  • 多価関数を近似する自己組織化関係ネットワークとその逆問題への応用

    脳情報専攻 園尾聡

    第20回ファジィシステムシンポジウム講演論文集 

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    Event date: 2004.06.02 - 2004.06.05   Language:Japanese  

  • マニピュレータの初期姿勢を考慮したTopology Representing Networkによる冗長マニピュレータの手先位置制御

    脳情報専攻 上野圭介

    第20回ファジィシステムシンポジウム講演論文集 

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    Event date: 2004.06.02 - 2004.06.05   Language:Japanese  

  • カーネル法を適用した高次元特徴空間上での適応部分空間自己組織化マップ

    情報科学専攻 河野英昭

    第20回ファジィシステムシンポジウム講演論文集 

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    Event date: 2004.06.02 - 2004.06.05   Language:Japanese  

  • 自己組織化関係ネットワークによるトレーラ・トラックの後退運転制御

    脳情報専攻 古賀崇了

    第5回自己組織化マップ研究会講演論文集 

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    Event date: 2004.03.04   Language:Japanese  

  • カーネル法を適用した適応部分空間自己組織化マップ

    情報科学専攻 河野英昭

    第5回自己組織化マップ研究会講演論文集 

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    Event date: 2004.03.04   Language:Japanese  

  • ソフトコンピューティング技術を用いた顎変形症治療支援システム

    脳情報専攻 下尚紀

    バイオメディカル・ファジィ・システム学会第16回年次大会講演論文集 

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    Event date: 2003.10.18 - 2003.10.19   Language:Japanese  

  • ロボットアームの現在の姿勢を考慮した自己組織化システムによる手先位置制御

    脳情報専攻 上野圭介

    第19回ファジィシステムシンポジウム講演論文集 

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    Event date: 2003.09.08 - 2003.09.10   Language:Japanese  

  • 自己組織化システムによるロボットアームの現在の姿勢を考慮した手先位置制御

    脳情報専攻 上野圭介

    第4回自己組織化マップ研究会講演論文集 

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    Event date: 2003.03.20   Language:Japanese  

  • 適応部分空間SOMとフィードバックSOMを融合した時空間パターン認識

    本人

    第4回自己組織化マップ研究会講演論文集 

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    Event date: 2003.03.20   Language:Japanese  

  • 高速WTAアルゴリズムを用いた自己組織化マップとそのディジタルハードウェアによるアクセラレータ

    脳情報専攻 田向権

    第4回自己組織化マップ研究会講演論文集 

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    Event date: 2003.03.20   Language:Japanese  

  • 症型分類に基づいた顎変形症術後側貌の予測

    本人

    バイオメディカル・ファジィ・システム学会第15回年次大会講演予稿集 

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    Event date: 2002.10.19 - 2002.10.20   Language:Japanese  

  • 自己組織化マップのパルス幅変調信号を用いたハードウェアによる実現

    脳情報専攻 高取純一

    第18回ファジィシステムシンポジウム講演論文集 

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    Event date: 2002.08.28 - 2002.08.30   Language:Japanese  

  • バイナリ重みベクトルの自己組織化マップとそのディジタルハードウェア設計

    脳情報専攻 平塚智一

    第18回ファジィシステムシンポジウム講演論文集 

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    Event date: 2002.08.28 - 2002.08.30   Language:Japanese  

  • 重み付き距離測度を用いた階層型自己組織化マップによる分類手法

    制御システム工学科 熊本将志

    第3回自己組織化マップ研究会予稿集 

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    Event date: 2002.03.08   Language:Japanese  

  • 重み付き距離測度を用いた階層型自己組織化マップによる分類手法

    第3回自己組織化マップ研究会予稿集 

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    Event date: 2002.03.08   Language:Japanese  

  • SOMを応用した軟組織側貌分類に基づく顎変形症診断

    本人

    バイオメディカル・ファジィ・システム学会第14回年次大会講演予稿集 

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    Event date: 2001.10.27 - 2001.10.28   Language:Japanese  

  • 自己組織化マップを利用した欠損データを連想するネットワークに関する研究

    情報科学専攻 久保田良輔

    第17回ファジィシステムシンポジウム講演論文集 

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    Event date: 2001.09.05 - 2001.09.07   Language:Japanese  

  • 自己組織化マップを用いたネオファジィニューロンのメンバーシップ関数配置に関する研究

    本人

    第17回ファジィシステムシンポジウム講演論文集 

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    Event date: 2001.09.05 - 2001.09.07   Language:Japanese  

  • 非線形シナプスニューロンを利用したカウンタープロパゲーションの近似能力向上

    第2回自己組織化マップ研究会予稿集 

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    Event date: 2001.03.08   Language:Japanese  

  • 入出力関係の変化に適応する自己組織化関係ネットワーク

    本人

    第16回ファジィシステムシンポジウム 

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    Event date: 2000.09.06 - 2000.09.08   Language:Japanese  

  • 適応部分空間SOMとファジィテンプレートマッチングを用いた話者識別

    情報科学専攻 久保田良輔

    第16回ファジィシステムシンポジウム講演論文集 

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    Event date: 2000.09.06 - 2000.09.08   Language:Japanese  

  • 入力ベクトルの要素間の関係を考慮した自己組織化マップとその側貌分類への応用

    バイオメディカル・ファジィ・システム学会第12回年次大会講演論文集 

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    Event date: 1999.10.16 - 1999.10.17   Language:Japanese  

  • 自己組織化マップを用いた出現頻度依存型・非線形量子化手法の提案

    第15回ファジィシステムシンポジウム講演論文集 

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    Event date: 1999.06.02 - 1999.06.05   Language:Japanese  

  • 学習必要性尺度を用いた適応自己組織化関係ネットワーク

    第1回自己組織化マップ研究会予稿集 

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    Event date: 1999.03.08   Language:Japanese  

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Grants-in-Aid for Scientific Research

  • 定性的,多元的に表現された関係データの階層的解析手法の確立とグループ評価への適用

    Grant number:25330323  2013.04 - 2016.03   基盤研究(C)

  • 時空間パターンの非線形マニフォールドによる表現とジェスチャー認識への適用

    Grant number:23700271  2011.04 - 2013.03   若手研究(B)

  • 非線形マニフォールドを学習する自己組織化マップの開発および実問題への適用

    Grant number:19700220  2007.04 - 2009.03   若手研究(B)

  • カーネル法と部分空間法を利用した時空間パターン分類器の開発とその応用

    Grant number:16700213  2004.04 - 2007.03   若手研究(B)