| Type | Author(s) | Title | Other Titles | Citation | Citation(alt) | Issue Date |
| 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 |
| article (author version) | Shirai, Yasuyuki; Morita, Hiroyuki; Nakamoto, Masakazu; Oyama, Satoshi | Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying | - | Lecture Notes in Computer Science | - | 2014 |
| article | KASHIMA, Hisashi; OYAMA, Satoshi; YAMANISHI, Yoshihiro; TSUDA, Koji | Cartesian Kernel : An Efficient Alternative to the Pairwise Kernel | - | IEICE Transactions on Information and Systems | - | Oct-2010 |
| proceedings (author version) | Morise, Hiroki; Oyama, Satoshi; Kurihara, Masahito | Collaborative filtering and rating aggregation based on multicriteria rating | - | - | - | 2017 |
| proceedings (author version) | Oyama, Satoshi; Hayashi, Kohei; Kashima, Hisashi | Cross-temporal Link Prediction | - | - | - | 2011 |
| article (author version) | Oyama, Satoshi; Baba, Yukino; Ohmukai, Ikki; Dokoshi, Hiroaki; Kashima, Hisashi | Crowdsourcing chart digitizer : task design and quality control for making legacy open data machine-readable | - | International Journal of Data Science and Analytics | - | 1-Dec-2016 |
| 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 |
| article (author version) | Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito; Furudo, Kazune | A Deep Neural Network for Pairwise Classification : Enabling Feature Conjunctions and Ensuring Symmetry | - | Lecture Notes in Computer Science | - | 2017 |
| 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 |
| 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) | Takahashi, Yuku; Ohshima, Hiroaki; Yamamoto, Mitsuo; Iwasaki, Hirotoshi; Oyama, Satoshi; Tanaka, Katsumi | Evaluating Significance of Historical Entities Based on Tempo-Spatial Impacts Analysis Using Wikipedia Link Structure | - | - | - | Jun-2011 |
| article (author version) | Yamamoto, Mitsuo; Takahashi, Yuku; Iwasaki, Hirotoshi; Oyama, Satoshi; Ohshima, Hiroaki; Tanaka, Katsumi | Extraction and Geographical Navigation of Important Historical Events in the Web | - | Lecture Notes in Computer Science | - | 2011 |
| article (author version) | Gando, Gota; Yamada, Taiga; Sato, Haruhiko; Oyama, Satoshi; Kurihara, Masahito | Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs | - | Expert Systems with Applications | - | 30-Dec-2016 |
| proceedings (author version) | Oyama, Satoshi; Baba, Yukino; Ohmukai, Ikki; Dokoshi, Hiroaki; Kashima, Hisashi | From one star to three stars : Upgrading legacy open data using crowdsourcing | - | - | - | 2015 |
| 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 |
| 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) | Liu, Hao; Kurihara, Masahito; Oyama, Satoshi; Sato, Haruhiko | An incremental self-organizing neural network based on enhanced competitive Hebbian learning | - | - | - | 2013 |
| article (author version) | Shirai, Yasuyuki; Tsuruma, Koji; Sakurai, Yuko; Oyama, Satoshi; Minato, Shin-ichi | Incremental Set Recommendation Based on Class Differences | - | Lecture Notes in Computer Science | - | 2012 |
| proceedings (author version) | Wang, Jingjing; Oyama, Satoshi; Kurihara, Masahito; Kashima, Hisashi | Learning an accurate entity resolution model from crowdsourced labels | - | - | - | 9-Jan-2014 |
| 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 |
