| 1. |
Eriko Musashi, Shingo Katou, Takaaki Hosoda, Daisuke Ikeda, Analysis of Emotions from the Word-of-Mouth of the Elderly, 1st International Conference on ICT Application Research (IAR 2023), 2023.09. |
| 2. |
Daisuke Ikeda, A STEM WORKSHOP FOR KIDS IN EARLY ELEMENTARY SCHOOL GRADES ABOUT SAMPLING THEOREM OF INFORMATION THEORY , 18th annual International Technology, Education and Development Conference (INTED2024), 2019.03. |
| 3. |
Yuga Omori, Mika Tamura, Daisuke Ikeda, PRELIMINARY ANALYSIS OF SELF-CONFIDENCE LABELS OF SECOND LANGUAGE UTTERANCES IN AN ONLINE ASSIGNMENT TO DEVELOP A LEARNING SYSTEM WITH FEEDBACK ADAPTATION, 17th Annual International Technology, Education and Development Conference (INTED2023), 2023.03. |
| 4. |
Daisuke Ikeda
, A Theoretical Background for DX Based on Information Dissemination, 2nd International Symposium on Applied Informatics and Innovations, 2022.09. |
| 5. |
Rika Tamura
Yuga Omori
Daisuke Ikeda , The Integration of Synchronous and Asynchronous Learning in a Japanese Language Course: A Case Study, EUROCALL, 2022.08. |
| 6. |
Yuga Omori, Mika Tamura, Daisuke Ikeda, A PROTOTYPE OF AN ASYNCHRONOUS INTERACTIVE LEARNING SYSTEM FOR SPEAKING PRACTICE, 15th Annual International Technology, Education and Development Conference (INTED2021), 2021.03. |
| 7. |
Tokinori Suzuki, Daisuke Ikeda, Smart Lifelog Retrieval System with Habit-based Concepts and Moment Visualization, 14th NTCIR Conference on Evaluation of Information Access Technologies, 2019.06. |
| 8. |
Daisuke Ikeda, Text Mining with Variety and Frequency, 第28回MRS日本年次大会国際ワークショップ「先端プラズマ技術が拓くナノマテリアルズフロンティア」, 2018.12, The recent progress of information technologies enables researchers to use such a technology in their disciplines. In particular, machine learning have attracted great attention on account of recent great successes of deep learning.
Because major machine learning frameworks assume definite criteria for learning, they are useful for well-defined problems. On the other hand, typical data mining approaches try to find interesting patterns in data, and thus it is useful to exploratively find a hypothesis.
Compared to machine learning, which has its solid theoretical background, data mining does not have a unified framework and many heuristics methods have been developed depending on target problems. For example, counting of target data, such as words in texts, is a basic method, but it is difficult to find interesting patterns because frequent ones are obvious and infrequent are abundant.
In this talk, a simple framework is proposed, where some variety is introduced in addition to frequency of data, and it can lead finding interesting patterns, such as regions related to horizontal gene transfer in DNA sequences without knowledge of this domain.. |
| 9. |
Daisuke Ikeda, EXTEND LECTURES FOR KIDS ABOUT INFORMATION INTO SAMPLING THEOREM AND THE FOURIER TRANSFORM
, 13th annual International Technology, Education and Development Conference (INTED2019), 2019.03. |
| 10. |
Daisuke Ikeda, Toward Improving Research Processes using Big Data, 2nd Asia-Pacific Conference on Plasma Physics, 2018.11, マテリアル科学において、様々な条件で実験を行い、最適なパラメータを決定する必要がある。しかし、一回の実験には多大なコストと時間がかかるため、ICTを用いてこれをサポート
することが望まれている。本発表では、ガウス過程と呼ばれる非線形回帰の手法を用いて、最適な実験パラメータを見つける手段を説明する。. |
| 11. |
Daisuke Ikeda, LESSONS ON INFORMATION IN TERMS OF THE FOURIER TRANSFORM FOR PRIMARY-AGED STUDENTS, 12th annual International Technology, Education and Development Conference (INTED2019), 2019.03. |
| 12. |
Koji IMAI, Yasuhiro MURAYAMA, Ken EBISAWA, Daisuke IKEDA, Daisuke KITAO, Web service for reproducible multidisciplinary data visualization, International Workshop on Sharing, Citation and Publication of Scientific Data across Disciplines, 2017.12. |
| 13. |
Koji IMAI, Yasuhiro MURAYAMA, Ken EBISAWA, Daisuke IKEDA, Daisuke KITAO, Web service for reproducible multidisciplinary data visualization, WDS Asia-Oceania Conference 2017, 2017.09. |
| 14. |
Koji IMAI, Yasuhiro MURAYAMA, Ken EBISAWA, Daisuke IKEDA, Daisuke KITAO, Web service for reproducible multidisciplinary data visualization, 日本地球惑星科学連合 連合大会 2017年大会, 2017.05. |
| 15. |
Yuki Kaburagi, Daisuke Ikeda
, STUDY ON FACTORS FOR ACCELERATING LEARNING CURVES BY OBTAINING A CONCEPT IN LEARNING BY COMPUTER SIMULATION
, 11th annual International Technology, Education and Development Conference (INTED2017), 2017.03. |
| 16. |
Koji IMAI, Yasuhiro MURAYAMA, Ken EBISAWA, Daisuke Ikeda, Daisuke KITAO, Web service for reproducible multidisciplinary data visualization, SciDataCon, 2016.09. |
| 17. |
Yuki Sonoda, Daisuke Ikeda, Effect of a Label on Items for Their Popularity, 2016 International Conference on Parallel and Distributed Processing Techniques and Applications, 2016.07. |
| 18. |
Daisuke Ikeda, A Distributed Data Store Model Satisfying Sequential Consistency or Causal Consistency with Operation Logs, 13th IASTED International Conference on Parallel and Distributed Computing and Networks, 2016.02. |
| 19. |
Yuki Sonoda, Daisuke Ikeda, Predicting Latent Trends of Labels in the Social Media Using Infectious Capacity, 2015 8th International Conference on Computer Science and Information Technology , 2015.12. |
| 20. |
Takanori Tanaka, Daisuke Kitao, Yuka Sato, Yoshimasa Tanaka, Daisuke Ikeda, Forecasting Auroral Substorms from Observed Data with a Supervised Learning Algorithm, 2015 IEEE 11th International Conference on e-Science, 2015.09. |
| 21. |
Yusuke Hosoi, Yuta Taniguchi, Daisuke Ikeda, Generalization User Profiles to Context Profiles and Its Application to Context-aware Document Clustering
, 8th International Conference on Communications and Information Technology, 2014.01. |
| 22. |
Yuta Taniguchi, Yasuhiro Yamada, Osamu Maruyama, Satoru Kuhara, Daisuke Ikeda, The Purity Measure for Genomic Regions Leads to Horizontally Transferred Genes, International Conference on Genome Informatics, 2013.12. |
| 23. |
Daisuke Ikeda, Mining Infrequent Patterns of Two Frequent Substrings from a Single Set of Biological Sequences, 2013 International Conference on Parallel and Distributed Processing Techniques and Applications, 2013.07. |
| 24. |
Toshihiro Aoyama, Kazutsuna YAmaji, Daisuke Ikeda, Takao Namiki, SarabiWEKO: Metadata class management system for WEKO repository, the 2nd International Conference on Academic Library, 2013.02. |
| 25. |
Daisuke Ikeda, Osamu Maruyama, Satoru Kuhara, Infrequent, Unexpected, and Contrast Pattern Discovery from Bacterial Genomes by Genome-wide Comparat ive Analysis, 4th International Conference on Bioinformatics Models, Methods and Algorithms, 2013.02. |
| 26. |
A Virtual Bookshelf Disposing Scroop Images over Network . |
| 27. |
Formulation of Template Discovery Problem and an Algorithm using Substring Amplification. |
