十一期生

Posted on 2022-12-09
TAAI2022で発表しました


2022年12月1-3日に,台南市(台湾)で開催されたThe 27th International Conference on Technologies and Applications of Artificial Intelligence (TAAI) で, M2の山本が発表しました.

発表内容

Title: Visualization of the Relationship Between Lectures and Laboratories Using SSNMF
Author: Kyoka Yamamoto, Ryosuke Yamanishi, Mitsunori Matsushita
Abstract: This study aims 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 lecture and laboratory. It is suggested that the proposed method calculates reasonable results for the relationship between lectures and laboratories.

感想:

国際会議も対面での学会参加も初めての経験でした.コミュニケーションに関する不安はありましたが,準備の段階から多くの人にサポートしていただき充実したものとなりました.今までの学会は全てオンライン発表だったこともあり,今回は実際に顔を見て参加者のみなさんと交流がとれたことが嬉しかったです.学会終わりに現地の先生方や学生さんとご飯を食べながら各々の研究室や将来の話で盛り上がるという経験は対面ならではだなと思いました.今回の発表でいただいた貴重な意見を修士論文に反映していきたいと思います.

(文責:M2山本)
Posted in 十一期生 | Comments Closed

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