『徳島大学 教育・研究者情報データベース (EDB)』---[学外] /
〔閲覧〕【著作】
--- テーブル「著作」（著作（著書，論文，レター，国際会議など））は研究業績にかかる著作（著書，論文，レター，国際会議など）を登録するテーブルです．
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| REF= |  マルチメディア (multimedia)
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登録情報の数
有効な情報: 46件 + 無効な情報: 0件 = 全ての情報: 46件
全ての有効な情報 (46件)
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抽出結果のリスト
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排列順: 項目表示: 石井 健二 : コンピュータ利用による実践的問題解決法, --- 映像とコンピュータ利用によるマルチメディアの基礎的研究 ---, 教育研究学内特別経費による研究報告書, 28-38, 徳島, 1990年2月..[キーワード] ... 石井 健二 : 映像とコンピュータによるマルチメディアの研究と活用．, --- 音と画像のイメージの効果的表現 ---, 教育研究学内特別経費による研究報告書, 23-34, 徳島, 1991年2月..[キーワード] ... 石井 健二 : マルチメディア表現研究-1, --- 教育におけるマルチメディアの導入と効果 ---, デザイン学研究, No.93, 86, 1992年9月..[キーワード] ... 西田 敏信 : プログラミング言語BASICから学生教育用ディジタルアーカイブの作成への道程, 広報, Vol.7, 61-68, 2001年3月..[キーワード] ... 掛井 秀一, 佐藤 博臣, 佐野 友紀, 佐古 順彦 : 避難誘導における経路図情報の提示に関する心理学的考察, --- マルチメディア技術を利用した避難誘導システムの開発 その2 ---, 日本建築学会計画系論文集, No.596, 27-34, 2005年..[キーワード] ... 掛井 秀一, 佐古 順彦, 佐野 友紀, 佐藤 博臣 : アダプティブな避難誘導システムに於ける情報提供方式, 日本建築学会大会学術講演梗概集, Vol.A-II, 313-314, 2007年8月..[キーワード] ... 奥田 紀久子, 廣原 紀恵, 郷木 義子, 新野 茉衣, 杉村 美穂 : 小・中学生のメディアとゲーム利用に関する実態, 日本学校保健学会講演集, (巻), (号), (頁), 2008年11月..[キーワード] ... 郷木 義子, 奥田 紀久子, 廣原 紀恵, 杉村 美穂, 新野 茉衣 : 小・中学生のメディアとゲームの利用時間と生活習慣の関連, 日本学校保健学会講演集, (巻), (号), (頁), 2008年11月..[キーワード] ... 廣原 紀恵, 郷木 義子, 奥田 紀久子, 杉村 美穂, 新野 茉衣 : 小・中学生のメディアとゲームの利用時間と身体疲労の関連および就寝前行動の実態, 日本学校保健学会講演集, (巻), (号), (頁), 2008年11月..[キーワード] ... Chihiro Kondo and Tadashi Kondo : Revised RBF network algorithm and its application to the interactive art system, ICROS-SICE International Joint Conference 2009, (巻), (号), 4526-4529, (都市), Aug. 2009..[キーワード] ... Chihiro Kondo and Tadashi Kondo : Identification of the interactive art system using the revised RBF network, Abstract of the 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 33-34, (都市), Nov. 2009..[キーワード] ... Chihiro Kondo and Tadashi Kondo : Learning algorithm of the revised RBF network and its application to the media art system, The Fifteenth International Symposium on Artificial Life and Robotics 2010, 786-789, Beppu, Feb. 2010..[キーワード] ... Chihiro Kondo and Tadashi Kondo : Identification of the interactive art system using the revised RBF network, Proceedings of the 41th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 63-68, Kobe, June 2010..[キーワード] ... Chihiro Kondo and Tadashi Kondo : Learning algorithm of the revised RBF network and its application to the media art system, Artificial Life and Robotics, Vol.15, No.3, 258-263, 2010..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback GMDH-type neural network algorithm using prediction error criterion defined as AIC, Proceedings of the 4th international conference on intelligent decision technologies, (巻), (号), 313-322, Gifu, May 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by hybrid multi-layered GMDH-type neural network using knowlege base, Proceedings of the 2012 International Conference on Complex Medical Engineering, (巻), (号), 663-668, Kobe, July 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback GMDH-type neural network self-selecting various functions and its application to medical image diagnosis of lung cancer, Proceedings of 13th ACIS international conference on sofutware engineering, artificial intelligence, networking and parallel distrivuted computing (SNPD2012), (巻), (号), 203-208, Kyoto, Aug. 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by revised GMDH-type neural network using feedback loop calculation, Proceedings of 2012 sixth international conference on genetic and evolutionary computing, (巻), (号), 237-240, Kitakyushu, Aug. 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international symposium on stochastic systems theory and its applications, (巻), (号), 73-74, Tokyo, Nov. 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international sysmposium on stochastic systems theory and its applications, (巻), (号), 119-120, Tokyo, Nov. 2012..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 255-262, Tokyo, June 2013..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 273-278, Tokyo, June 2013..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback RBF GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the first international symposium on computing and networking, 155-161, Matsuyama, Dec. 2013..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the nineteenth international symposium on artificial life and robotics, 339-342, Beppu, Jan. 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the nineteenth international symposium on artificial life and robotics, 335-338, Beppu, Jan. 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, ICIC Express Letters, Vol.8, No.3, 1-8, 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, ICIC Express Letters, Vol.8, No.4, 1053-1060, 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions, Proceedings of inetrnational conference of SCIS and ISIS 2014, 1203-1208, kitakyushu, Dec. 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of abdominal multi-organs by hybrid multi-layered GMDH-type neural network using principal component-regression analysis, Proceedings of 2014 second international symposium on computing and networking, 157-163, Matuyama, Dec. 2014..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 119-122, Oita, Jan. 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 115-118, Oita, Jan. 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of brain and blood vessels, Proceedings of the twentieth international symposium on aritificial life and robotics 2015, 92-95, Beppu, Jan. 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the twentieth international symposium on artificial life and robotics 2015, 424-427, Beppu, Jan. 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Artificial Life and Robotics, Vol.20, No.2, 137-144, 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, Journal of Robotics Networking and Artificial Life, Vol.2, No.2, 94-99, 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.20, No.2, 145-151, 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of MRI brain images by deep RBF GMDH-type neural network using principal component-regression analysis, Proceedings of 2015 IIAI 4th international congress on advanced informatics, 586-592, Okayama, July 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, Journal of Robotics Networking and Artificial Life, Vol.2, No.3, 166-172, 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Journal of Bioinformatics and Neuroscience, Vol.1, No.1, 14-23, 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Proceedings of International Conference on Intelligent Informatics and Biomedical Sciences, (巻), (号), 313-320, Okinawa, Dec. 2015..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Proceedings of the Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016), (巻), (号), 237-240, Beppu, Jan. 2016..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 125-129, Okinawa, Jan. 2016..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 120-124, Okinawa, Jan. 2016..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.2, No.4, 252-257, 2016..[キーワード] ... Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.3, No.1, 17-23, 2016..[キーワード] ... Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer, Artificial Life and Robotics, Vol.23, No.1, 48-59, 2018..[キーワード] ...
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Number of session users = 2, LA = 0.97, Max(EID) = 414768, Max(EOID) = 1119638.