Theory of Machine Learning Laboratory

About the Lab

We elucidate the theoretical foundations of machine learning and deep learning, and build on them to realize multimodal AI integrating heterogeneous data (imagery, weather signals, etc.) and advanced data-driven decision-making powered by large language models. We also train the next generation of data scientists through educational engineering, building society's AI infrastructure.

Research Missions

Research Highlights

* Papers co-authored with students (descriptions added incrementally)
🧠

Decoding Human Decision-Making

12 papers
  1. Journal 2026

    First-Order Absorbing Markov Chain Analysis for Web Navigation and Conversion Rate Optimization

    Shune Lae Aung, Gendo Kumoi

    IEEE Access DOI

  2. Domestic 2026

    Quantitative Analysis of Preference Interpretability Performance of Large Language Models Based on Rating Prediction Tasks [ja]

    2026年電子情報通信学会総合大会

  3. Domestic 2026

    Verification of Decision-Making Diversity in High School Students through Personalized Career Suggestions [ja]

    2026年電子情報通信学会総合大会

  4. Domestic 2025

    Effectiveness Evaluation of a Generative AI-Based Career Education Support System for High School Students

    第48回情報理論とその応用シンポジウム(SITA2025)

  5. Domestic 2025

    Practical Evaluation of Structured Data Extraction from Document Images Using General-Purpose Vision-Language Models

    第48回情報理論とその応用シンポジウム(SITA2025)

  6. Domestic 2025

    Performance Evaluation of Rating Prediction via Preference Explanations Using Large Language Models

    第48回情報理論とその応用シンポジウム(SITA2025)

  7. Domestic 2025

    Dynamic Communication Structure Simulation Using Organizational Structure-Conditioned Graph VAE Based on Slack Chat Logs

    第48回情報理論とその応用シンポジウム(SITA2025)

  8. Domestic 2025

    Quantification of Differences in Doctrinal Interpretations between Jodo-shu and Jodo Shinshu Using KL Divergence

    第48回情報理論とその応用シンポジウム(SITA2025)

  9. Domestic 2025

    Verification of the Potential Utilization of Generative AI in Creating Modern Japanese Translations Reflecting the Philosophical Thought of Chinese Buddhist Scriptures [ja]

    情報処理学会 第87回全国大会 Link

  10. Domestic 2025

    Performance Evaluation of Structured Data Extraction from Document Images Based on Generative AI [ja]

    情報処理学会 第87回全国大会

  11. Domestic 2025

    A Study on Quantitative Analysis Methods of Communication Using Slack Chat Logs [ja]

    情報処理学会 第87回全国大会

  12. International 2025

    Absorbing Markov Chain Evaluation of Website Structural Changes on Conversion Rates

    Shune Lae Aung, Kumoi Gendo

    2025 IEICE Shin-etsu Section Convention (IEEE Session, Co-organized with IEEE Shin-etsu Section)

🌍

AI for Community & Environment

7 papers
  1. Domestic 2026

    Prompt Performance Evaluation for Tree Crown Detection Using Segment Anything Model 3 [ja]

    2026年電子情報通信学会総合大会

  2. Journal 2025

    Verification of Weather Comment Generation from Weather Chart Images by ChatGPT [ja]

    天気 DOI

  3. Domestic 2025

    Synoptic Pattern Classification via Integrated Structural Similarity Metrics in SOM

    第48回情報理論とその応用シンポジウム(SITA2025)

  4. Domestic 2025

    Verification of an Automated Front Description System Using Swin-Unet [ja]

    日本気象学会2025年度春季大会

  5. Domestic 2025

    Clustering of Atmospheric Pressure Patterns Using Self-Organizing Maps and Analysis with 1 km Mesh Weather Data [ja]

    情報処理学会 第87回全国大会

  6. Domestic 2024

    Verification of Weather Comment Generation Based on Meteorological Numerical Data [ja]

    気象学会2024年度秋季大会

  7. International 2024

    Recognition Performance Validation of Weather Map Images by ChatGPT

    Takumi Takasuka, Yuki H. Takano, Shotaro Watanabe, Gendo Kumoi

    Procedia Computer Science DOI

📚

Redesigning Learning

5 papers
  1. Domestic 2026

    Analysis of Prompt Design Strategies for Software Development Using Cognitive Load Measurement [ja]

    情報処理学会第88回全国大会

  2. Domestic 2025

    Integrated Analysis of Cognitive Load in Programming Using Generative AI [ja]

    情報処理学会 第87回全国大会

  3. International 2025

    Analysis of LLM Utilization Strategies Based on Cognitive Load During Programming

    Wataru Kobayashi, Kouki Shiono, Naoki Baba, Kyohei Shibata, Naoto Tani, Takumi Takasuka, Keitaro Nakasai, Gendo Kumoi, Katsuko T. Nakahira

    10th The International Conference on the "Science of Technology Innovation" 2025 (10th STI-Gigaku 2025)

  4. International 2024

    Towards Measuring Cognitive Load during Software Engineering Tasks Using Nasal Skin Temperature: Development of a Detection System

    Naoto Tani, Fukutaro Mori, Taichi Nakamura, Yusaku Kii, Takumi Takasuka, Shunsuke Moriya, Keitaro Nakasai, Yoshio Otake, Gendo Kumoi, Katsuko T. Nakahira

    The First International Workshop on Intertwining Research & Education on Software (WIREDS 2024)

  5. International 2024

    Measuring the cognitive load of programming using generative AI

    Fukutaro Mori, Taichi Nakamura, Yusaku Kii, Naoto Tani, Takumi Takasuka, Shunsuke Moriya, Keitaro Nakasai, Gendo Kumoi, Katsuko T. Nakahira

    9th The International Conference on the "Science of Technology Innovation" 2024 (9th STI-Gigaku 2024), STI-9-41 Link

⚙️

Machine Learning Theory (Foundation)

4 papers
  1. Domestic 2026

    A Study on Deep Learning Classification Models through Orthogonal Factor Embedding [ja]

    2026年電子情報通信学会総合大会

  2. Domestic 2026

    Verification of a Recommendation System with Dynamic Adjustment of Accuracy and Fairness [ja]

    2026年電子情報通信学会総合大会

  3. Domestic 2025

    A Study on Theoretical Evaluation of Probability Prediction Calibration Error Using Logit Noise Model

    第48回情報理論とその応用シンポジウム(SITA2025)

  4. Domestic 2025

    Verification of Expected Calibration Error Using Artificial and Real Data [ja]

    情報処理学会 第87回全国大会 Link

Industry Collaborations

株式会社 イードア

研究者と起業家の協働過程における意思決定構造と価値創造メカニズムの分析

2025–2027

株式会社 ForestFolks

ドローン搭載センサーを用いた林業における樹種判定技術の基礎的研究

2025–2026

株式会社 スタジオーネ

ユーザー行動分析と業界特性を考慮したWebサイト重要ページ特定手法の研究

2025–2026

ソリマチベトナム有限会社

AIを用いたレシート自動認識技術に関する研究

2024–2026

株式会社 高田建築事務所

Web接触履歴データを活用したデータ分析

2024–2025