2023年度

学術論文・国際会議論文（査読付）
    [小澤研]
  1. Le Trieu PHONG, Tran Thi PHUONG, Lihua WANG, Seiichi OZAWA, “Frameworks for Privacy-Preserving Federated Learning,” IEICE Transactions on Information and Systems, 2024, Vol. E107.D, Issue 1, pp. 2-12, January 01, 2024.
  2. Septiviana Savitri Asrori, Lihua Wang, and Seiichi Ozawa, “Permissioned Blockchain-Based XGBoost for Multi Banks Fraud Detection,” In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Lecture Notes in Computer Science, vol 13625. Springer, Cham, pp. 683–692, 2013.
  3. Enna Hirata, Takahiro Yamashita, and Seiichi Ozawa, “Researcher Network Visualization Using Matrix Researcher2vec,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.27, No.4, pp. 603-608, 2023.
  4. Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Sangwook Kim, and Daisuke Inoue. “Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation.” in IEEE Access. vol. 11. pages 102727-102745. 2023.
    [大森研]
  1. Toshiaki Omori, Shoi Suzuki, Katsuyoshi Michibayashi and Atsushi Okamoto, “Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite”, Scientific Reports, Vol. 13, pp. 6648: 1-11 (2023)
  2. Taketo Omi, and Toshiaki Omori, “Sequential Monte Carlo Framework for Simultaneously Estimating and Controlling Nonlinear Neuronal Dynamics”, Proceedings of 2023 International Symposium on Nonlinear Theory and Its Applications, in press. (2023)
  3. Hirozo Nakano, Amitava Majumdar, and Toshiaki Omori, “Data-Driven Estimation of Spatial Electrical Property of Multi-Compartment Neuron Models by Replica Exchange Monte Carlo Method”, Proceedings of 2023 International Symposium on Nonlinear Theory and Its Applications, in press. (2023)
  4. Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, and Toshiaki Omori, “Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning”, ACM International Conference Proceeding Series, in press. (2023)
国際会議発表
    [小澤研]
  1. Takeshi Urade, Nobuaki Yamasaki, Junichiro Hirata, Yasuyoshi Okamura, Munenori Uemura, Kaito Nanchi, Tatsuya Hattori, Yuki Mitani, Yasuo Chihara, Kiyoyuki Chinzei, Seiichi Ozawa, Masato Fujisawa, and Takumi Fukumoto, “Surgical education from robot-assisted surgery training skills at first touch”, EAES2023, 20-23 June, 2023.
    [大森研]
  1. Toshiaki Omori, Hiroaki Inoue, and Koji Hukushima, “Data-driven Method for Estimating Nonlinear Dynamics by Replica Exchange Particle Markov Chain Monte Carlo Method”, 28th IUPAP International Conference on Statistical Physics (2023)
  2. Taketo Omi and Toshiaki Omori, “Data-driven Framework for Simultaneously Estimating and Controlling Neuronal Nonlinear Dynamics”, 28th IUPAP International Conference on Statistical Physics (2023)
  3. Toshiaki Omori, Hiroaki Inoue, and Koji Hukushima, “Data-driven Estimation of Nonlinear Dynamical Systems by Replica Exchange Particle Markov Chain Monte Carlo Method”, 34th IUPAP Conference on Computational Physics (2023)
  4. Taketo Omi and Toshiaki Omori, “Simultaneous Estimation and Control Framework for Neuronal Dynamics Based on Statistical Machine Learning Approach”, 34th IUPAP Conference on Computational Physics (2023)
  5. Hirozo Nakano, Amitava Majumdar, and Toshiaki Omori, “Extracting Spatiotemporal Dynamics of Neural Systems by Computational and Data-driven Approaches”, 34th IUPAP Conference on Computational Physics (2023)
  6. Toshiaki Omori, Shoi Suzuki, Katsuyoshi Michibayashi, and Atsushi Okamoto, “Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite”, 17th International Symposium on Water-Rock Interaction and the 14th International Symposium on Applied Isotope Geochemistry (2023)
  7. Takuma Ihara and Toshiaki Omori, “Data driven Framework for Estimating Nonlinear Neural Dynamics Based on Nonuniform Sparse Modeling”, 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (2023)
  8. Kensuke Inaba and Toshiaki Omori, “Visualizing Process of Image Reconstruction from Brain Activities by Using Nonparametric Generative Model”, 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (2023)
国内学会発表/シンポジウム
    [小澤研]
  1. 鍛冶佳佑, 中野瑠人, 山田 明, 小澤 誠一, “大規模言語モデルによるセキュリティ対策の視覚認知メカニズムのモデル化に向けた検討,” コンピュータセキュリティシンポジウム 2023論文集，pp. 1536-1543, 2023年11月2日
  2. 小杉樹来, 小澤誠一, 廣瀬勇秀, 池田佳弘, 中川憲保, 飯塚正昭, 西田大輔, “ChatGPTを用いたニュース記事のESGトピック分析,” 第31回人工知能学会金融情報学研究会（SIG-FIN）, SIG-FIN-031-08, pp. 36-41, 2023年10月14日
  3. 高須 悠一朗、小澤 誠一、廣瀬 勇秀、池田 佳弘、中川 憲保、飯塚 正昭、西田 大輔, “対照学習済みBERTによる不祥事記事分類と文章埋め込み表現の考察”, 人工知能学会全国大会論文集, 2023年6月8日,https://doi.org/10.11517/pjsai.JSAI2023.0_3M1GS1002
    [大森研]
  1. Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, and Toshiaki Omori, “Data-Driven Super-Resolution for Rock Sample CT Images Based on Sparse Modeling: Applications to the Complex Texture of Serpentinite”, Japan Geoscience Union Meeting 2023, 2023年
解説・技術報告/紀要
招待講演・セミナー
  1. 小澤誠一, “AIによる特殊詐欺監視,” 2023年度日本OR学会関西支部シンポジウム, 2023年12月20日
  2. Irwin King (Moderator), Jonathan H. Chan, Kenji Doya, Włodzisław Duch, Seiichi Ozawa (Panelists), “The Impact of Professional Societies in Shaping Disruptive Technologies such as Generative AI,” The 2023 International Conference on Neural Information Processing (ICONIP2023), November 21, 2023.
  3. Seiichi Ozawa, “Privacy-Preserving Machine Learning for Big Data Analysis – How can we solve social issues using AI? -,” Chitose International Forum on Science & Technology 2023, September 29, 2023.
  4. 小澤 誠一, “データサイエンスと活用事例 〜深層学習を用いた大豆の生育情報センシング〜”, 兵庫県立農林水産技術総合センター講演, 2023年8月31日
受賞
    [小澤研]
  1. 鍛冶佳佑, 中野瑠人, 山田 明, 小澤 誠一, CSS2023奨励賞, 情報処理学会，「大規模言語モデルによるセキュリティ対策の視覚認知メカニズムのモデル化に向けた検討」, 2023年10月30日
    [大森研]
  1. Takuma Ihara, Excellent Oral Presentation Award, 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (2023)
著書