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TypeAuthor(s)TitleOther TitlesCitationCitation(alt)Issue Date
article (author version)Shirai, Yasuyuki; Morita, Hiroyuki; Nakamoto, Masakazu; Oyama, SatoshiAnalysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying-Lecture Notes in Computer Science-2014
articleKASHIMA, Hisashi; OYAMA, Satoshi; YAMANISHI, Yoshihiro; TSUDA, KojiCartesian Kernel : An Efficient Alternative to the Pairwise Kernel-IEICE Transactions on Information and Systems-Oct-2010
proceedings (author version)Morise, Hiroki; Oyama, Satoshi; Kurihara, MasahitoCollaborative filtering and rating aggregation based on multicriteria rating---2017
proceedings (author version)Oyama, Satoshi; Hayashi, Kohei; Kashima, HisashiCross-temporal Link Prediction---2011
article (author version)Oyama, Satoshi; Baba, Yukino; Ohmukai, Ikki; Dokoshi, Hiroaki; Kashima, HisashiCrowdsourcing 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, HisashiData 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, KazuneA 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, MasahitoEffect 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, MasahitoEffective 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, KatsumiEvaluating 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, KatsumiExtraction 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, MasahitoFine-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, HisashiFrom one star to three stars : Upgrading legacy open data using crowdsourcing---2015
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)Ihara, Hiroyuki; Imai, Shunsuke; Oyama, Satoshi; Kurihara, MasahitoImplementation and Evaluation of Information Set Monte Carlo Tree Search for Pokémon---2018
proceedings (author version)Liu, Hao; Kurihara, Masahito; Oyama, Satoshi; Sato, HaruhikoAn 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-ichiIncremental Set Recommendation Based on Class Differences-Lecture Notes in Computer Science-2012
proceedings (author version)Wang, Jingjing; Oyama, Satoshi; Kurihara, Masahito; Kashima, HisashiLearning an accurate entity resolution model from crowdsourced labels---9-Jan-2014
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
articleOYAMA, Satoshi; HAYASHI, Kohei; KASHIMA, HisashiLink Prediction Across Time via Cross-Temporal Locality Preserving Projections-IEICE Transactions on Information and Systems-Nov-2012
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