Updated on 2025/05/04

写真a

 
SUNAYAMA,Wataru
 
Organization
Faculty of Business Data Science Professor
Title
Professor
External link

Degree

  • 博士（工学）（大阪大学） ( 2000.7 )

Papers

  • Effects of Machine Learning and Multi-Agent Simulation on Mining and Visualizing Tourism Tweets as Not Summarized but Instantiated Knowledge Reviewed

    Shun Hattori, Yuto Fujidai, Wataru Sunayama, Madoka Takahara

    Electronics   13 ( 16 )   3276 - 3276   2024.8

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    Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Various technologies with AI (Artificial Intelligence), DS (Data Science), and/or IoT (Internet of Things) have been starting to be pervasive in e-tourism (i.e., smart tourism). However, most of them for a target (e.g., what to do in such a tourism spot as Hikone Castle) utilize their “typical/major signals” (e.g., taking a photo) as summarized knowledge based on “The Principle of Majority”, and tend to filter out not only their noises but also their valuable “peculiar/minor signals” (e.g., view Sawayama Castle) as instantiated knowledge. Therefore, as a challenge to salvage not only “typical signals” but also “peculiar signals” without noises for e-tourism, this paper compares various methods of ML (Machine Learning) to text-classify a tweet as being a “tourism tweet” or not, to precisely mine tourism tweets as not summarized but instantiated knowledge. In addition, this paper proposes a MAS (Multi-Agent Simulation), powered with artisoc, for visualizing “tourism tweets”, including not only “typical signals” but also “peculiar signals”, whose number can be enormous, as not summarized but instantiated knowledge, i.e., instances of them without any summarization, and validates the effects of the proposed MAS by conducting some experiments with subjects.

    DOI： 10.3390/electronics13163276

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  • Verification of Effective Assistive Messages for Suppressing the Transmission of Offensive Comments Using Estimated Mental Damage Values of the Recipients Reviewed

    Wataru SUNAYAMA, Masaki ITO, Shun HATTORI

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   36 ( 2 )   631 - 639   2024.5

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.36.2_631

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  • Quantitative Analysis of Retinal Vascular Leakage in Retinal Vasculitis Using Machine Learning Reviewed

    Hiroshi Keino, Tomoki Wakitani, Wataru Sunayama, Yuji Hatanaka

    Applied Sciences   12 ( 24 )   12751 - 12751   2022.12

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    Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Retinal vascular leakage is known to be an important biomarker to monitor the disease activity of uveitis. Although fluorescein angiography (FA) is a gold standard for the diagnosis and assessment of the disease activity of uveitis, the evaluation of FA findings, especially retinal vascular leakage, remains subjective and descriptive. In the current study, we developed an automatic segmentation model using a deep learning system, U-Net, and subtraction of the retinal vessel area between early-phase and late-phase FA images for the detection of the retinal vascular leakage area in ultrawide field (UWF) FA images in three patients with Behçet’s Disease and three patients with idiopathic uveitis with retinal vasculitis. This study demonstrated that the automated model for segmentation of the retinal vascular leakage area through the UWF FA images reached 0.434 (precision), 0.529 (recall), and 0.467 (Dice coefficient) without using UWF FA images for training. There was a significant positive correlation between the automated segmented area (pixels) of retinal vascular leakage and the FA vascular leakage score. The mean pixels of automatic segmented vascular leakage in UWF FA images with treatment was significantly reduced compared with before treatment. The automated segmentation of retinal vascular leakage in UWF FA images may be useful for objective and quantitative assessment of disease activity in posterior segment uveitis. Further studies at a larger scale are warranted to improve the performance of this automatic segmentation model to detect retinal vascular leakage.

    DOI： 10.3390/app122412751

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  • Automated Quantitative Analysis of Anterior Segment Inflammation Using Swept-Source Anterior Segment Optical Coherence Tomography: A Pilot Study. Reviewed International journal

    Hiroshi Keino, Takuto Aman, Ryota Furuya, Makiko Nakayama, Annabelle A Okada, Wataru Sunayama, Yuji Hatanaka

    Diagnostics (Basel, Switzerland)   12 ( 11 )   2703 - 2703   2022.11

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Background: The aim of this study is to develop an automated evaluation of anterior chamber (AC) cells in uveitis using anterior segment (AS) optical coherence tomography (OCT) images. Methods: We analyzed AS swept-source (SS)-OCT (CASIA 2) images of 31 patients (51 eyes) with uveitis using image analysis software (Python). An automated algorithm was developed to detect cellular spots corresponding to hyper-reflective spots in the AC, and the correlation with Standardization of Uveitis Nomenclature (SUN) grading AC cells score was evaluated. The approximated AC grading value was calculated based on the logarithmic approximation curve between the number of cellular spots and the SUN grading score. Results: Among 51 eyes, cellular spots were automatically segmented in 48 eyes, whereas three eyes (all SUN grading AC cells score: 4+) with severe fibrin formation in the AC were removed by the automated algorithm. The AC cellular spots increased with an increasing SUN grading score (p < 0.001). The 48 eyes were split into training data (26 eyes) and test data (22 eyes). There was a significant correlation between the SUN grading score and the number of cellular spots in 26 eyes (rho: 0.843, p < 0.001). There was a significant correlation between the SUN grading score and the approximated grading value of 22 eyes based on the logarithmic approximation curve (rho: 0.774, p < 0.001). Leave-one-out cross-validation analysis demonstrated a significant correlation between the SUN grading score and the approximated grading value of 48 eyes (rho: 0.748, p < 0.001). Conclusions: This automated anterior AC cell analysis using AS SS-OCT showed a significant correlation with clinical SUN grading scores and provided SUN AC grading values as a continuous variable. Our findings suggest that automated grading of AC cells could improve the accuracy of a quantitative assessment of AC inflammation using AS-OCT images and allow the objective and rapid evaluation of anterior segment inflammation in uveitis. Further investigations on a large scale are required to validate this quantitative measurement of anterior segment inflammation in uveitic eyes.

    DOI： 10.3390/diagnostics12112703

    PubMed

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  • Interpretation Support by Extracting Time Series Classification Patterns using HMM from Text-based Deep Learning Reviewed

    Masayuki Ando, Yoshinobu Kawahara, Wataru Sunayama, Yuji Hatanaka

    International Journal on Advances in Intelligent Systems   15 ( 1-2 )   24 - 34   2022.9

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

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  • Interpretation Support System for Classification Patterns Using HMM in Deep Learning with Texts Reviewed

    Masayuki ANDO, Yoshinobu KAWAHARA, Wataru SUNAYAMA, Yuji HATANAKA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   34 ( 1 )   501 - 510   2022.2

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    Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.34.1_501

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  • A Generation Method for the Discussion Process Model during Research Progress Using Transitions of Dialog Acts Reviewed

    Yoko Nishihara, Seiya Tsuji, Wataru Sunayama, Ryosuke Yamanishi, Shiho Imashiro

    International Journal on Advances in Systems and Measurements   14 ( 1-2 )   17 - 26   2021

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

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  • Presentation System of Operating Histories to Support Choice and Operation of Tools for Beginners of Text Mining Software TETDM Reviewed

    Wataru SUNAYAMA, Tsuyoshi NAKAE, Yoko NISHIHARA, Yuji HATANAKA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   32 ( 5 )   841 - 850   2020.10

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.32.5_841

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  • Interpretation Support System for Classification Patterns in Deep Learning with Texts Reviewed

    Masayuki ANDO, Yoshinobu KAWAHARA, Wataru SUNAYAMA, Yuji HATANAKA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   31 ( 4 )   779 - 787   2019.8

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    Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.31.4_779

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  • Feature Extraction for the Ground Fault Factor of High Voltage System Interface Reviewed

    Kazunori Nishimura, Yusaku Marui, Wataru Sunayama

    IEEJ Transactions on Industry Applications   138 ( 3 )   206 - 211   2018

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    Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejias.138.206

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  • 類推による説明スキルの獲得支援システム Reviewed

    砂山渡, 石田純太, 川本佳代, 西原陽子

    情報処理学会論文誌   59 ( 10 )   1922 - 1931   2018

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    Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)  

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  • Data Mining Framework for Treating both Numerical and Text Data Reviewed

    Wataru Sunayama, Tomoya Matsumoto, Yuji Hatanaka, Kazunori Ogohara

    International Journal of Service and Knowledge Management   2 ( 1 )   1 - 18   2018

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：International Institute of Applied Informatics  

    DOI： 10.52731/ijskm.v2.i1.229

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  • Automatic Detection of Microaneurysms in Retinal Image by Using Convolutional Neural Network Reviewed

    MIYASHITA Mitsuhiro, HATANAKA Yuji, OGOHARA Kazunori, MURAMATSU Chisako, SUNAYAMA Wataru, FUJITA Hiroshi

    Medical Imaging Technology   36 ( 4 )   189 - 195   2018

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    Language：Japanese   Publisher：The Japanese Society of Medical Imaging Technology  

    One of the early findings of diabetic retinopathy is microaneurysm. Microaneurysms look like dark small dots in the retinal images, thus it is difficult for physicians to detect them visually. On the other hand, convolutional neural network (CNN) showed superior performance in image recognition studies. This paper describes about the automated microaneurysms detection by using CNN and the performance. First, retinal images were enhanced by using shape index based on Hessian matrix, double-ring filter and Gabor filter. Microaneurysm was then detected by using CNN. Finally, false positives were reduced by using another CNN and three-layer-perceptron with 48 features. By applying the proposed method to DIARETDB1, the performance was better than previous methods.

    DOI： 10.11409/mit.36.189

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  • Development of a TETDM Game Mode for Motivating an Increase in Use Reviewed

    Wataru SUNAYAMA, Shun TAKEOKA, Kazunori NISHIMURA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   29 ( 2 )   558 - 566   2017

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.29.2_558

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  • Social Practice using Total Environment for Text Data Mining Reviewed

    Wataru Sunayama, Yasufumi Takama, Hidekazu Tokunaga, Muneo Kushima, Kazunori Nishimura, Mitsunori Matsuishita, Yuya Kitamura

    Transactions of the Japanese Society for Artificial Intelligence   32 ( 1 )   NFC - A_1   2017

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.nfc-a

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  • Topic Recommendation Method related to a Present Topic for Continuing a Conversation Reviewed

    Wataru Sunayama, Yuki Shibata, Yoko Nishihara

    Information Engineering Express   3 ( 1 )   19 - 28   2017

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：International Institute of Applied Informatics  

    DOI： 10.52731/iee.v3.i1.148

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  • Elevation and Maintenance Framework of Learning Motivation by Story and Life Functions Reviewed

    Wataru SUNAYAMA, Mayu TAKAHASHI, Kayo KAWAMOTO

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   29 ( 3 )   586 - 594   2017

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.29.3_586

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  • New Detection Method for an Insulation Level Monitoring Device Used in Low-Voltage Distribution Lines Reviewed

    Kazunori Nishimura, Yusaku Marui, Satonori Nishimura, Wataru Sunayama

    IEEJ Transactions on Industry Applications   136 ( 11 )   878 - 883   2016

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    Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejias.136.878

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  • Self Cause Identification of Ground-fault Accident in Customer Premises Low-voltage Distribution Line by Current Waveform Reviewed

    Kazunori Nishimura, Yusaku Marui, Wataru Sunayama

    IEEJ Transactions on Industry Applications   136 ( 8 )   567 - 573   2016

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    Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejias.136.567

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  • Research Note: A Cooperative Discussion Support System through Visualization of Participants' Contributions to a Discussion Reviewed

    Yoko Nishihara, Wataru Sunayama

    The Review of Socionetwork Strategies   9 ( 1 )   29 - 38   2015.6

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    DOI： 10.1007/s12626-015-0053-4

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    Other Link： http://link.springer.com/article/10.1007/s12626-015-0053-4/fulltext.html

  • Logical Thinking Training System Using Flowchart for Elementary School Students Reviewed

    Kawamoto Kayo, Deguchi Naoki, Hayashi Yusuke, Hirashima Tsukasa, Sunayama Wataru

    Transactions of Japanese Society for Information and Systems in Education   32 ( 3 )   214 - 219   2015

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Information and Systems in Education  

    DOI： 10.14926/jsise.32.214

    CiNii Books

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    Other Link： https://jlc.jst.go.jp/DN/JLC/20012685538?from=CiNii

  • Development of EMR Analysis Support Tool based on TETDM and Its Evaluation through Actual EMR Analysis Reviewed

    Yasufumi Takama, Muneo Kushima, Wataru Sunayama

    Transactions of the Japanese Society for Artificial Intelligence   30 ( 1 )   372 - 382   2015

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    Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.30.372

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  • Development of Tutorial System on Text Mining Skill for Users of TETDM Reviewed

    Yoko NISHIHARA, Rina NAKAGOCHI, Kayo KAWAMOTO, Wataru SUNAYAMA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   27 ( 5 )   771 - 783   2015

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    Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.27.771

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  • Learning System for Establishing Ways of Thinking against Questions by Intuitive Understanding and Iterative Learning Reviewed

    Wataru SUNAYAMA, Yoshinori NAGATA, Kayo KAWAMOTO

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   27 ( 5 )   723 - 733   2015

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.27.723

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  • Comments’ Extraction by User ID, Keywords, and Anchor Texts from the Thread of a Bulletin Board System Reviewed

    Yoko Nishihara, Wataru Sunayama, Kazunori Nishimura

    The Review of Socionetwork Strategies   8 ( 1 )   35 - 49   2014.6

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    DOI： 10.1007/s12626-014-0042-z

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    Other Link： http://link.springer.com/article/10.1007/s12626-014-0042-z/fulltext.html

  • Trend mining in social networks: from trend identification to visualization. Reviewed

    Puteri Nor Ellyza binti Nohuddin, Wataru Sunayama, Rob M. Christley, Frans Coenen, Christian Setzkorn

    Expert Systems - The Journal of Knowledge Engineering   31 ( 5 )   457 - 468   2014

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1111/exsy.12024

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    Other Link： https://dblp.uni-trier.de/db/journals/es/es31.html#NohuddinSCCS14

  • Practical Application in Development and Use of Mining Tools with Total Environment for Text Data Mining Reviewed

    Wataru Sunayama, Yasufumi Takama, Yoko Nishihara, Tomoki Kajinami, Muneo Kushima, Hidekazu Tokunaga

    Transactions of the Japanese Society for Artificial Intelligence   29 ( 1 )   100 - 112   2014

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.29.100

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  • Learning Support Environment by On-Line Competition Quiz System Reviewed

    Wataru SUNAYAMA, Takashi ATSUMI, Kazunori NISHIMURA, Kayo KAWAMOTO

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   26 ( 2 )   637 - 646   2014

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.26.637

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  • Sales Strategy Mining Support with Visualization of Moving History Reviewed

    Haruhi Satonaka, Wataru Sunayama

    The Review of Socionetwork Strategies   7 ( 1 )   15 - 29   2013.6

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    DOI： 10.1007/s12626-013-0030-8

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    Other Link： http://link.springer.com/article/10.1007/s12626-013-0030-8/fulltext.html

  • Improved Inspection of Facilities for High-Voltage Class using Datamining Reviewed

    Kazunori Nishimura, Yasushi Maehata, Wataru Sunayama

    IEEJ Transactions on Industry Applications   133 ( 12 )   1165 - 1170   2013

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    Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejias.133.1165

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  • Development of Total Environment for Text Data Mining Reviewed

    Wataru Sunayama, Yasufumi Takama, Yoko Nishihara, Hidekazu Tokunaga, Muneo Kushima, Hidenao Abe, Tomoki Kajinami

    Transactions of the Japanese Society for Artificial Intelligence   28 ( 1 )   1 - 12   2013

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.28.1

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  • Learning System for English Skill Acquisition with Input Replays Reviewed

    Wataru SUNAYAMA, Kazuya MIYAHARA, Kayo KAWAMOTO

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   24 ( 6 )   1128 - 1136   2012

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.24.1128

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  • Recursive Clustering of a Text Data Set for Information Collection Reviewed

    Wataru SUNAYAMA, Shuhei HAMAOKA, Kiyoshi OKUDA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   24 ( 3 )   697 - 706   2012

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.24.697

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  • Mood Identification in Bulletin Board System with Word Characteristic Dictionary Reviewed

    Shuhei HAMAOKA, Wataru SUNAYAMA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   24 ( 3 )   707 - 716   2012

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    Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.24.707

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    Other Link： https://dblp.uni-trier.de/db/conf/kes/kes2012.html#HamaokaS12

  • Consensus Development Support System for Opinion Convergence by Visualizing Input History Reviewed

    Wataru Sunayama, Yuuki Tomiyama, Yukihiro Tamura, Yoko Nishihara

    International Journal of Organizational and Collective Intelligence   2 ( 4 )   62 - 76   2011.10

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：IGI Global  

    <p>When collecting opinions to decide roles, majority votes after discussions are often used. Therefore, an environment that smoothly leads to reasonable and satisfactory conclusions in necessary. In this paper, the authors propose a consensus development support system that visualizes opinion input histories. Users input their opinions by moving images on the interface with a mouse, and input histories are replayed as animation. Users can input not only local but global opinions by seeing other user inputs. Such input histories might change other users’ minds by visualizing minority opinions. In this study, the targets of the system are role-sharing problems ordinary discussed in small groups of four to eight acquaintances. Based on the experimental results, the system effectively realized opinion convergence and acceptable conclusions.</p>

    DOI： 10.4018/ijoci.2011100105

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  • Text Visualization using Light and Shadow based on Topic Relevance Reviewed

    Yoko Nishihara, Wataru Sunayama

    International Journal of Intelligent Information Processing   2 ( 2 )   1 - 8   2011.6

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    Publishing type：Research paper (scientific journal)   Publisher：AICIT  

    DOI： 10.4156/ijiip.vol2.issue2.1

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  • Opinion Exchange Convergence Support using RFID Tags Reviewed

    Wataru Sunayama, Yoshifumi Shimizu

    Transactions of the Japanese Society for Artificial Intelligence   26 ( 5 )   527 - 535   2011

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.26.527

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  • Total Environment for Text Data Mining Reviewed

    Wataru Sunayama, Yasufumi Takama, Danushka Bollegala, Yoko Nishihara, Hidekazu Tokunaga, Muneo Kushima, Mitsunori Matsushita

    Transactions of the Japanese Society for Artificial Intelligence   26 ( 4 )   483 - 493   2011

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.26.483

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  • Personal Experience Acquisition Support from Blogs using Event-Depicting Pictures Reviewed

    Yoko Nishihara, Wataru Sunayama

    International Journal of Information Processing and Management   2 ( 3 )   10 - 19   2011

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    Publishing type：Research paper (scientific journal)   Publisher：IOS Press  

    Internet users write blogs related to their personal experience, daily news, and so on. We can obtain blogs about personal experience using search engines on the Web. However, the search engines also output blogs about other topics unrelated to personal experience. Therefore, it is necessary for us to read all blogs to obtain those about personal experiences. It takes too much time.

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  • Text Coherence Evaluation related to Topics and its Application to Conclusion Extraction Reviewed

    SUNAYAMA Wataru, TANIKAWA Nobuhiro

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   23 ( 5 )   727 - 738   2011

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)  

    DOI： 10.3156/jsoft.23.727

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  • レポートの課題との関連度と意見文抽出による情報量評価支援 Reviewed

    砂山渡, 川口俊明, 田村幸寛

    電子情報通信学会論文誌   J93-D ( 10 )   2032 - 2041   2010

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  • 専門分野の素人に選択される研究発表タイトルの推定 Reviewed

    西原陽子, 砂山渡

    情報処理学会論文誌   51 ( 8 )   1478 - 1486   2010

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    Publishing type：Research paper (scientific journal)  

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  • Estimation of friendship and hierarchy from conversation records Reviewed

    Yoko Nishihara, Wataru Sunayama

    Information Sciences   179 ( 11 )   1592 - 1598   2009.5

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    Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.ins.2008.11.024

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  • Text Visualization using Light and Shadow based on Topic Relevance Reviewed

    Yoko Nishihara, Keita Sato, Wataru Sunayama

    Transactions of the Japanese Society for Artificial Intelligence   24 ( 6 )   479 - 487   2009

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    Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.24.479

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  • Visualization Method for Transition Recognition between Keyword Relationships Varying with Multiple Viewpoints Reviewed

    Nishihara Yoko, Tanaka Taichi, Sunayama Wataru

    Transaction of the Visualization Society of Japan   29 ( 6 )   9 - 16   2009

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.3154/tvsj.29.9

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  • Valuable Change Detection in Keywords for Map Animation Interface Reviewed

    SUNAYAMA Wataru, NISHIKIDO Takuya, NISHIHARA Yoko

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   21 ( 3 )   304 - 315   2009

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)  

    DOI： 10.3156/jsoft.21.304

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  • Webページ間の相対的な具体抽象関係の視覚化による情報収集支援 Reviewed

    砂山渡, 鮫島聡志, 西原陽子

    電子情報通信学会論文誌   J92-D ( 3 )   271 - 280   2009

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  • Personal Experience Acquisition Support from Blogs using Event-Depicting Images Reviewed

    NISHIHARA Yoko, SATO Keita, SUNAYAMA Wataru

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   20 ( 5 )   757 - 767   2008

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    Publishing type：Research paper (scientific journal)   Publisher：IOS Press  

    DOI： 10.3156/jsoft.20.757

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    Other Link： https://dblp.uni-trier.de/db/conf/ecai/ecai2008.html#SatoNS08

  • Visual Support System for Report Distinctiveness Evaluation Reviewed

    Wataru Sunayama, Toshiaki Kawaguchi

    Transactions of the Japanese Society for Artificial Intelligence   23 ( 6 )   392 - 401   2008

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.23.392

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  • 発話テキストからの人間の仲の良さと上下関係の推定 Reviewed

    西原陽子, 砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J91-D ( 1 )   78 - 88   2008

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  • Creative activity support by discovering effective combinations Reviewed

    Yoko Nishihara, Wataru Sunayama, Masahiko Yachida

    Systems and Computers in Japan   38 ( 12 )   99 - 111   2007.8

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    Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Abstract

    Creative activities based on combinations are now being carried on everywhere in the world. Whether or not the creative activity succeeds depends on the combinations used in it. Since there are tremendous numbers of candidate combinations, it is impossible to decide at a glance which should be used. Thus, there must be a method of efficiently discovering combinations which are effective in making creative activity a success. This paper proposes a method of discovering combinations that is effective in supporting creative activity. In the proposed method, the originality of each combination and the novelty perceived by users are estimated from the number of hits on Web pages containing the keywords in question, and the effectiveness of the combinations is judged. © 2007 Wiley Periodicals, Inc. Syst Comp Jpn, 38(12): 99–111, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.20392

    DOI： 10.1002/scj.20392

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  • Discussion Visualization on a Bulletin Board System Reviewed

    Wataru Sunayama

    Data Science Journal   6   S51 - S60   2007

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Ubiquity Press, Ltd.  

    DOI： 10.2481/dsj.6.s51

    DOI： 10.2481/dsj.6.S51

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  • Analysis Framework for Persuading Process and an Application to Debt-Collecting Conversation Logs Reviewed

    Wataru Sunayama, Katsutoshi Yada

    Transactions of the Japanese Society for Artificial Intelligence   22 ( 2 )   239 - 247   2007

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.22.239

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  • サブトピックを考慮した重要文抽出による報知的要約生成 Reviewed

    相良直樹, 砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J90-D ( 2 )   427 - 440   2007

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  • Animation Interface supporting Human Interpretation of Individual Differences in Preference Reviewed

    NISHIHARA Yoko, TSUJI Yukiko, TANAKA Taichi, SUNAYAMA Wataru

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   19 ( 1 )   3 - 12   2007

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.3156/jsoft.19.3

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  • HTML text segmentation for Web page summarization by a key sentence extraction method Reviewed

    Wataru Sunayama, Akihiro Iyama, Masahiko Yachida

    Systems and Computers in Japan   37 ( 7 )   26 - 36   2006.4

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Abstract

    The information displayed as the search result by search engines is important for quickly finding the desired information. In particular, the summary of each Web page in the search results is important for determining the Web page content, as well as for determining how the input search term is used in each Web page, namely, the relation between the search term and the Web page. However, the summaries of the search results in conventional search engines have problems such as extracting only the opening text and not containing the search term, or containing the search term but having the sentence truncated in the middle so that the context of the term or the content of the Web page cannot be determined. Therefore, a summary in sentence units is desirable, but since HTML text includes many nonsentence items that do not contain punctuation, if they are unprocessed, it is difficult for a key sentence extraction system that treats sentences as units to provide a summary. Thus, in this paper, we propose an HTML text segmentation system that divides the source text of each Web page into meaningfully connected groups of text corresponding to sentences. We also verify experimentally that the text generated by this system can be used effectively in a Web page summarization. © 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(7): 26–36, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.20416

    DOI： 10.1002/scj.20416

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  • Image labeling using key sentences of HTML Reviewed

    Naoki Sagara, Wataru Sunayama, Masahiko Yachida

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)   89 ( 7 )   31 - 41   2006.3

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    Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Abstract

    The word “multimedia” is commonly heard nowadays. The essential meaning of this word encompasses a broad range of contents. However, it is indisputable that information processing from now on will focus on visual information such as video and images, which are intuitively easy for us to understand and which carry a great deal of information. Therefore, in this paper, we propose an image labeling technique for supporting image retrieval on the Web by focusing on the relationship between images on Web pages and key sentences within related text areas and assigning labels to images based on these key sentences. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(7): 31–41, 2006; Published online in Wiley InterScience (www.interscience.wiley. com). DOI 10.1002/ecjc.20254

    DOI： 10.1002/ecjc.20254

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  • Keyword Arranging Interface in Order of User's Liking to Support Active Thinking Reviewed

    NISHIHARA Yoko, AKAI Reiko, SUNAYAMA Wataru, TACHIBANA Keihachiro

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   18 ( 5 )   766 - 776   2006

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.3156/jsoft.18.766

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  • Document Stream Evaluation using a Sub-Topic Model Reviewed

    SUNAYAMA Wataru, TACHIBANA Keihachiro

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   18 ( 2 )   280 - 289   2006

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)  

    DOI： 10.3156/jsoft.18.280

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  • Webページの難易度と学習順序に基づく情報理解支援システム Reviewed

    西原陽子, 砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J89-D ( 9 )   1963 - 1975   2006

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  • Panoramic View System for extracting key sentences based on viewpoints and application to a search engine Reviewed

    Wataru Sunayama, Masahiko Yachida

    Journal of Network and Computer Applications   28 ( 2 )   115 - 127   2005.4

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.jnca.2004.01.005

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  • 重要文抽出によるWebページ要約のためのHTMLテキスト分割 Reviewed

    砂山渡, 井山晃洋, 谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 12 )   1089 - 1097   2004

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  • Topic Collection Support by Clustering Web Pages based on Topical Independence Reviewed

    Akihiro Iyama, Wataru Sunayama, Masahiko Yachida

    Transactions of the Japanese Society for Artificial Intelligence   19   561 - 570   2004

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    Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.19.561

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  • 有効な組み合わせの発見による創造活動支援 Reviewed

    西原陽子, 砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 10 )   939 - 949   2004

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  • HTMLテキストの重要文を用いた画像ラベリング手法 Reviewed

    相良直樹, 砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 2 )   145 - 153   2004

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  • Focusing Skill Transmission Support by Visualized Gaze Behavior Reviewed

    Takeshi Fujimoto, Wataru Sunayama, Tomohiro Yamaguchi, Masahiko Yachida

    Transactions of the Japanese Society for Artificial Intelligence   19   174 - 183   2004

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    Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.19.174

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  • Image Clustering System on WWW using Web Texts Reviewed

    Wataru Sunayama, Akiko Nagata, Masahiko Yachida

    Transactions of the Japanese Society for Artificial Intelligence   19   580 - 588   2004

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.19.580

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  • A panoramic view system for extracting key sentences and discovering keywords that express the features of a document Reviewed

    Wataru Sunayama, Masahiko Yachida

    Systems and Computers in Japan   34 ( 11 )   81 - 90   2003.8

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Abstract

    With the widespread use of the Internet in recent years, documents are increasingly handled by electronic means. However, due to physical and time limitations it is difficult to review all of these documents. To allow selection of desired documents, it is useful to prepare a summary representing the content of each document. Consequently, this paper proposes a panoramic view system which extracts important sentences by a unique method. The system surveys the whole text and detects the keywords that express the features of the text. The feature keywords are extracted as words closely related to the main topic of the text and help to extract important relevant sentences. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(11): 81–90, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.1215

    DOI： 10.1002/scj.1215

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  • Discovery of Notable Keywords from Web Pages forEstimating Future Trends Reviewed

    Wataru SUNAYAMA, Masahiko YACHIDA

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   15 ( 3 )   309 - 317   2003

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI： 10.3156/jsoft.15.309

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  • A Panoramic View System for Extracting Key Sentences based on Viewpoints and an Application to the Search Engine Reviewed

    Wataru Sunayama, Masahiko Yachida

    Transactions of the Japanese Society for Artificial Intelligence   17 ( 12 )   14 - 22   2002

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

    DOI： 10.1527/tjsai.17.14

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  • Support system for user interests expression on searching web pages Reviewed

    Wataru Sunayama, Yuji Nomura, Yukio Ohsawa, Masahiko Yachida

    Systems and Computers in Japan   32 ( 13 )   14 - 22   2001.10

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Abstract

    An Internet user who wants to know about a certain topic uses a search engine to find pages related to that topic. However, there are so many pages on the World Wide Web that the user cannot access the pages directly, because most search engines output URLs matching the exact words entered by the user. In addition, even though users use intelligent search techniques, it is difficult to input proper keywords because of lack knowledge or lapse of memory. This paper presents a Support System for User Interest Expression which supplies users with keywords, combining the user's interests with information on the WWW, making it possible to input search keywords concretely and precisely. © 2001 Scripta Technica, Syst Comp Jpn, 32(13): 14–22, 2001

    DOI： 10.1002/scj.1081

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  • 文章の特徴を表すキーワードを発見して重要文を抽出する展望台システム Reviewed

    砂山渡, 谷内田正彦

    電子情報通信学会論文誌   J84-D-I ( 2 )   146 - 154   2001

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  • ユーザの興味の構造を用いて関連検索キーを提示する検索支援インターフェイス Reviewed

    砂山渡, 大澤幸生, 谷内田正彦

    人工知能学会誌   15 ( 6 )   1117 - 1124   2000

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  • 事象ごとの生起確率から未知事象発見を支援する手法とそのアンケート調査への適用 Reviewed

    砂山渡, 大澤幸生, 谷内田正彦

    人工知能学会誌   14 ( 2 )   349 - 358   1999

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  • Webページ検索におけるユーザの興味表現支援システム Reviewed

    砂山渡, 野村勇治, 大澤幸生, 谷内田正彦

    電子情報通信学会論文誌   J82-D-I ( 12 )   1394 - 1402   1999

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