| Type | Author(s) | Title | Other Titles | Citation | Citation(alt) | Issue Date |
| article | Nohara, Taisei; Oyama, Satoshi; Noda, Itsuki | Pairwise classification using quantum support vector machine with Kronecker kernel | - | Quantum Machine Intelligence | - | 15-Aug-2022 |
| article | Morise, Hiroki; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Neural collaborative filtering with multicriteria evaluation data | - | Applied Soft Computing | - | Apr-2022 |
| article | Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Sparse random feature maps for the item-multiset kernel | - | NEURAL NETWORKS | - | Nov-2021 |
| article (author version) | Sugawara, Yu; Oyama, Satoshi; Kurihara, Masahito | Adaptive Rotation Forests : Decision Tree Ensembles for Sequential Learning | - | 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) | - | 17-Oct-2021 |
| proceedings | Itakura, Kazuma; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Adapting the Learning Rate of the Learning Rate in Hypergradient Descent | - | 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS) | - | Dec-2020 |
| proceedings | Toda, Kazuki; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Unsupervised Feature Learning for Output Control of Generative Models | - | 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS) | - | Dec-2020 |
| article | Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Link Prediction Using Higher-Order Feature Combinations across Objects | - | IEICE transactions on information and systems | - | Aug-2020 |
| article | Song, Jing; Oyama, Satoshi; Kurihara, Masahito | Exploratory Causal Analysis of Open Data : Explanation Generation and Confounder Identification | - | Journal of Advanced Computational Intelligence and Intelligent Informatics | - | 20-Jan-2020 |
| article (author version) | Morise, Hiroki; Oyama, Satoshi; Kurihara, Masahito | Bayesian probabilistic tensor factorization for recommendation and rating aggregation with multicriteria evaluation data | - | Expert Systems with Applications | - | 1-Oct-2019 |
| proceedings (author version) | Sekiya, Ryota; Oyama, Satoshi; Kurihara, Masahito | User-Adaptive Preparation of Mathematical Puzzles Using Item Response Theory and Deep Learning | - | Advances and Trends in Artificial Intelligence. From Theory to Practice | - | 2019 |
| proceedings (author version) | Atarashi, Kyohei; Subhransu, Maji; Oyama, Satoshi | Random Feature Maps for the Itemset Kernel | - | Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) | - | 2019 |
| proceedings (author version) | Kikuchi, Shoma; Takigawa, Ichigaku; Oyama, Satoshi; Kurihara, Masahito | Learning Relevant Molecular Representations via Self-Attentive Graph Neural Networks | - | 2019 IEEE International Conference on Big Data (Big Data) | - | 2019 |
| proceedings (author version) | Song, Jing; Oyama, Satoshi; Kurihara, Masahito | Identification of Possible Common Causes by Intrinsic Dimension Estimation | - | 2019 IEEE International Conference on Big Data and Smart Computing (BigComp) | - | 2019 |
| article | Takase, Tomoumi; Oyama, Satoshi; Kurihara, Masahito | Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization | - | Neural Computation | - | Jul-2018 |
| article (author version) | Takase, Tomoumi; Oyama, Satoshi; Kurihara, Masahito | Effective neural network training with adaptive learning rate based on training loss | - | NEURAL NETWORKS | - | May-2018 |
| proceedings (author version) | Ihara, Hiroyuki; Imai, Shunsuke; Oyama, Satoshi; Kurihara, Masahito | Implementation and Evaluation of Information Set Monte Carlo Tree Search for Pokémon | - | - | - | 2018 |
| proceedings (author version) | Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito | Semi-supervised Learning from Crowds Using Deep Generative Models | - | Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) | - | 2018 |
| proceedings (author version) | Baba, Yukino; Takase, Tomoumi; Atarashi, Kyohei; Oyama, Satoshi; Kashima, Hisashi | Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges | - | Proceedings of the Eighth Symposium on Educational Advances in Artificial Intelligence (EAAI-18) | - | 2018 |
| proceedings (author version) | Matsui, Taiju; Oyama, Satoshi; Kurihara, Masahito | Effect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft | - | Lecture Notes in Artificial Intelligence (LNAI) | - | 2018 |
| proceedings (author version) | Suzuki, Takafumi; Oyama, Satoshi; Kurihara, Masahito | Toward Explainable Recommendations: Generating Review Text from Multicriteria Evaluation Data | - | - | - | 2018 |
