IntlConf – ページ 2 – Laboratory of Content-oriented Computational Culture & Arts

Jeremy White, Ryosuke Yamanishi, Yoko Nishihara, Kohei Matsumura: Cross-cultural communication through the use of translation devices, EUROCALL2023, 2023.

2023-08-18

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Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Eri Shimokawara, Mitsunori Matsushita, Ryosuke Yamanishi: Evolutionary Computation-based Assessment Model for Human-Machine Co-Learning on Taiwanese and English Language between Taiwan and Japan, IEEE Congress on Evolutionary Computation 2023, 2023.

2023-05-08

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This study aims to evaluate the effectiveness of a Meta AI tool using a human-machine co-learning model for pr […]

Kyoka Yamamoto, Ryosuke Yamanishi, Mitsunori Matsushita: Visualization of the relationship between lectures and laboratories using SSNMF, Proc. of The 27th International Conference on Technologies and Applications of Artificial Intelligence, A7-1, 2022年12月

2022-10-28

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The purpose of this study is to visualize the relationship between lectures and fields of specialization (laboratories) so that students can choose lectures with a future direction. Since the university curriculum is highly flexible; students choose their own lectures. Taking into account their own objectives, students select the basic knowledge necessary for their purposes. However, it is difficult for students without sufficient knowledge to understand their relevance from the syllabus. The purpose of this study is to propose a method for estimating the relevance between lectures and laboratories in an undergraduate school as a help to provide students with an objective analysis of lectures, i.e., not only knowledge but also examples of its use. The proposed method applies a semi-supervised non-negative matrix factorization to identify common factors of knowledge in each combination of laboratory and lecture. It is suggested that the proposed method calculates reasonable results for the relationship between laboratories and lectures.

Ryosuke Yamanishi, Hoshu Takemoto, Yoko Nishihara, Mitsuo Yoshida, Tomoko Ohsuga, Keizo Oyama: Applying Existing Datasets as a Pseudo Corpus for Sentiment Representation on Social Media, Proc. of the 26th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, pp. 335-342, 2022年9月

2022-09-07

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This paper proposes a method to represent the sentiment characteristics of opinions on social media by using s […]

Ryota Higuchi, Ryosuke Yamanishi, Mitsunori Matsushita: Analyzing Textual Sources Attributes of Comics Based on Word Frequency and Meaning, The 5th International Workshop on coMics ANalysis, Processing and Understanding, 2022年8月

2022-08-21

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The purpose of this research is to analyze the textual source attributes of explanations and review sentences […]

Kaifeng Lei, Yoko Nishihara, Ryosuke Yamanishi: Comic Contents Retrieval Support Interface using Speech Frequencies of Characters, Proc. of International Conference on Human-Computer Interaction 2022, pp.33-44, 2022年6月

2022-06-23

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Over the past few decades, reading comics has become a globally accepted and appreciated form of entertainment […]

Yoko Nishihara, Shuang Wu, Ryosuke Yamanishi: A method to select comic frames for supporting mimetic onomatopoeia study, Proc. of International Conference on Human-Computer Interaction 2022, pp. 348-353, 2022年6月

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Japanese comics include onomatopoeias to represent sounds and situations while other types of comics usually u […]

Yoko Nishihara, Hirofumi Noguchi, Ryosuke Yamanishi: Keyword Extraction for Local Foods from Restaurant Menus of Roadside Stations, The Fifteenth International Conference on Advances in Computer-Human Interactions, pp. 38-41, 2022.

2022-04-24

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Some foods are only consumed and available in some regions; these foods are called local foods. For example, B […]

Yoko Nishihara, Takumi Ohata, Ryosuke Yamanishi: Data Collection Framework on Menus satisfying both Preferences and Nutritional Balance, Proc. of the 26th International Conference on Technologies and Applications of Artificial Intelligence, pp.323-328, 2021.

2021-11-18

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Having meals with nutritional balanced is an excellent choice to live in healthy and long. However, people may […]

Ryosuke Yamanishi, Yuki Mizoguchi, Yuji Iwahori: Construction of Attribute Dataset with SNS Mining for Generic Object Recognition, Proc. of the 25th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, pp. 1401-1410, 2021年9月

2021-09-07

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This paper proposes a framework to automatically construct an attribute dataset with images and tags on the So […]