- Hiroki Shibata, Shota Shimizu, Yasufumi Takama, and Naoyuki Kubota: Proposal of Space-time Probability Model for Intelligence on Physical Space, International Symposium on Community-centric Systems and Robots 2026, in Poster session, 2026
- Hiroki Shibata, Atsushi Yoshimoto, and Yasufumi Takama: Rating Matrix Generation Based on Rational Behavior for Recipe Recommendation, MEDES, 2025.
- Hiroki Shibata, Takenori Obo, Eri-Sato Shimokawara, Naoyuki Kubota, and Yasufumi Takama: Time Series Probability Model on the Network dynamics for Physical Intelligence, ISIS 2025.
- Y.-C. Chen, H. Shibata, Y. Takama, "Generation of Comic Style Chernoff Face with GAN," JACIII, Vol. 29, No. 2, pp. 396-406, 2025
- Y.-C. Chen, H. Shibata, L.-H. Chen, Y. Takama, "Synthesis of Comic-Style Portraits Using Combination of CycleGAN and Pix2Pix," JACIII, Vol. 28, No. 5, pp. 1085-1094, 2024.9.
- H. Shibata, T. Obo, Y. Anzai, E.S. Shimokawara, Y. Ho, Y. Takama: Energy-Based Continuous Time Series Probability Model with Latent Stochastic Process. 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), https://ieeexplore.ieee.org/document/10760020
- H. Shibata,　K. Ebine, Y. Takama, “ Method to Control Embedded Representation of Piece of Music in Playlists, " IWACIII'23
- H. Shibata, Y. Takama, “ Proposal of consistent learning model with Exchange Monte Carlo, " TAAI 2022
- H. Shibata, L. H. Chen, Y. Takama, “Application of Exchanging Monte Carlo Method to Sample Deep Boltzmann Machines ," International Conference on Technologies and Applications of Artificial Intelligence, 2020.
- H. Shibata, H. Sato, L. H. Chen, Y. Takama, “Introduction of Boolean Operation into Context Search Engine," International Symposium on Community-centric Systems, 2020.
- H. Shibata, Y. Takama, “Improvements on Probability Model for Sightseeing Route Recommendation Method Employing Generalized Formulation in terms of Edges," International Conference on Technologies and Applications of Artificial Intelligence, 2019.
- 柴田祐樹, 高間康史, 辺ベクトルを用いた経路推薦問題の解法における目的関数の改善に関する提案，第21回インタラクティブ情報アクセスと可視化マイニング研究会, 2019. (研究会奨励賞)
- H. Shibata, Y. Takama, “Index-based Notation for Random Variable and Probability Space,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 23, No. 4, 2019.
- H. Shibata, H. Ishikawa, Y. Takama, “Crystalizing Effect of Simulated Annealing on Boltzmann Machine,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 23, No. 3, 2019. (Best paper award 2020)
- 柴田祐樹，高間康史，辺ベクトルを用いた観光経路推薦問題の定式化と焼きなまし法による解法の提案，知能と情報，Vol. 31, No. 1, 2019. (2020年度論文賞)
- H. Shibata, Y. Takama, “Consideration on Crystalizing Simulated Annealing for Boltzmann Machine,” Proceedings of the 10th International Conference on Management of Digital EcoSystems, pp. 87-93, 2018.
- 柴田祐樹，高間康史，辺ベクトルを用いた定式化による経路推薦手法の提案，第32回人工知能学会全国大会，IE2-02, 2018.
- 柴田祐樹，高間康史，スポット推薦を伴う経路推薦手法の提案，第18回 SIGAM 研究会，SIG-AM-18-07, 2018．
- H. Shibata, Y. Takama, “Behavior Analysis of RBM for Estimating Latent Factor Vector from Rating Matrix,” Proceedings of the 6th International Conference on Informatics, Electronics &Vision & 7th International Symposium in Computational Medical and Health Technology, No. 15, 2017.
- 柴田祐樹，高間康史，評価値行列からの潜在因子推定における制限ボルツマンマシンの挙動解析，第10回WI2研究会，WI2-2017-2, pp. 7-12, 2017．- 柴田祐樹，安西洋平，田川 俊夫， 移動物体を伴う気液二相流の三次元数値計算， 日本混相流学会 混相流シンポジウム, 2016.

JACIII，Best paper award 2020
知能と情報2020年度論文賞

ARG 「Webインテリジェンスとインタラクション」研究会運営委員

• プログラミング基礎演習Ⅰ（CS）
• プログラミング基礎演習Ⅱ（CS）
• システムプログラミング実験

• 組織再編前旧課程の同時開講科目等が含まれており、掲載されている全ての科目を開講するわけではありません。