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TypeAuthor(s)TitleOther TitlesCitationCitation(alt)Issue Date
proceedings (author version)Muto, Kaname; Oyama, Satoshi; Noda, ItsukiExplainable Recommendation Using Knowledge Graphs and Random Walks-2022 IEEE International Conference on Big Data (Big Data)-17-Dec-2022
proceedings (author version)Masato, Ota; Yuko, Sakurai; Satoshi, OyamaCoalitional Game Theoretic Federated Learning-Proceedings of the 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2022)-18-Nov-2022
article (author version)Shinoda, Masato; Sakurai, Yuko; Oyama, SatoshiSample Complexity of Learning Multi-value Opinions in Social Networks-PRIMA 2022 : Principles and Practice of Multi-Agent Systems-12-Nov-2022
articleNohara, Taisei; Oyama, Satoshi; Noda, ItsukiPairwise classification using quantum support vector machine with Kronecker kernel-Quantum Machine Intelligence-15-Aug-2022
articleMorise, Hiroki; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoNeural collaborative filtering with multicriteria evaluation data-Applied Soft Computing-Apr-2022
articleAtarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoSparse random feature maps for the item-multiset kernel-NEURAL NETWORKS-Nov-2021
article (author version)Sugawara, Yu; Oyama, Satoshi; Kurihara, MasahitoAdaptive Rotation Forests : Decision Tree Ensembles for Sequential Learning-2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)-17-Oct-2021
proceedingsItakura, Kazuma; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoAdapting 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
proceedingsToda, Kazuki; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoUnsupervised 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
articleAtarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoLink Prediction Using Higher-Order Feature Combinations across Objects-IEICE transactions on information and systems-Aug-2020
articleSong, Jing; Oyama, Satoshi; Kurihara, MasahitoExploratory Causal Analysis of Open Data : Explanation Generation and Confounder Identification-Journal of Advanced Computational Intelligence and Intelligent Informatics-20-Jan-2020
article (author version)Sakurai, Yuko; Oyama, Satoshi; Guo, Mingyu; Yokoo, MakotoDeep False-Name-Proof Auction Mechanisms-PRIMA 2019: Principles and Practice of Multi-Agent Systems-21-Oct-2019
article (author version)Morise, Hiroki; Oyama, Satoshi; Kurihara, MasahitoBayesian 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, MasahitoUser-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)Song, Jing; Oyama, Satoshi; Kurihara, MasahitoIdentification of Possible Common Causes by Intrinsic Dimension Estimation-2019 IEEE International Conference on Big Data and Smart Computing (BigComp)-2019
proceedings (author version)Atarashi, Kyohei; Subhransu, Maji; Oyama, SatoshiRandom 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, MasahitoLearning Relevant Molecular Representations via Self-Attentive Graph Neural Networks-2019 IEEE International Conference on Big Data (Big Data)-2019
articleTakase, Tomoumi; Oyama, Satoshi; Kurihara, MasahitoWhy 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, MasahitoEffective neural network training with adaptive learning rate based on training loss-NEURAL NETWORKS-May-2018
proceedings (author version)Matsui, Taiju; Oyama, Satoshi; Kurihara, MasahitoEffect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft-Lecture Notes in Artificial Intelligence (LNAI)-2018
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