Satoshi Oyama

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 45

Top Venues

Publications

Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima
Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing. iConference (3) (2024)
Sorachi Kurita, Satoshi Oyama, Itsuki Noda
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation. CoRR (2023)
Riku Yoshioka, Yuko Sakurai, Satoshi Oyama, Masato Shinoda
Proposing a New Security Game with Reward and Penalty. WI/IAT (2023)
Hisashi Kashima, Satoshi Oyama, Hiromi Arai, Junichiro Mori
Trustworthy Human Computation: A Survey. CoRR (2022)
Masato Shinoda, Yuko Sakurai, Satoshi Oyama
Sample Complexity of Learning Multi-value Opinions in Social Networks. PRIMA (2022)
Hiroki Morise, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Neural collaborative filtering with multicriteria evaluation data. Appl. Soft Comput. 119 (2022)
Taisei Nohara, Satoshi Oyama, Itsuki Noda
Pairwise classification using quantum support vector machine with Kronecker kernel. Quantum Mach. Intell. 4 (2) (2022)
Kaname Muto, Satoshi Oyama, Itsuki Noda
Explainable Recommendation Using Knowledge Graphs and Random Walks. Big Data (2022)
Masato Ota, Yuko Sakurai, Satoshi Oyama
Coalitional Game Theoretic Federated Learning. WI/IAT (2022)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Sparse random feature maps for the item-multiset kernel. Neural Networks 143 (2021)
Yu Sugawara, Satoshi Oyama, Masahito Kurihara
Adaptive Rotation Forests: Decision Tree Ensembles for Sequential Learning. SMC (2021)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Factorization Machines with Regularization for Sparse Feature Interactions. J. Mach. Learn. Res. 22 (2021)
Kazuki Toda, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Unsupervised Feature Learning for Output Control of Generative Models. SCIS/ISIS (2020)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Link Prediction Using Higher-Order Feature Combinations across Objects. IEICE Trans. Inf. Syst. (8) (2020)
Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara
A Framework for Recommendation Algorithms Using Knowledge Graph and Random Walk Methods. IEEE BigData (2020)
Jing Song, Satoshi Oyama, Masahito Kurihara
Exploratory Causal Analysis of Open Data: Explanation Generation and Confounder Identification. J. Adv. Comput. Intell. Intell. Informatics 24 (1) (2020)
Wenqi Zhao, Satoshi Oyama, Masahito Kurihara
Generating Natural Counterfactual Visual Explanations. IJCAI (2020)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Factorization Machines with Regularization for Sparse Feature Interactions. CoRR (2020)
Kazuma Itakura, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Adapting the Learning Rate of the Learning Rate in Hypergradient Descent. SCIS/ISIS (2020)
Shoma Kikuchi, Ichigaku Takigawa, Satoshi Oyama, Masahito Kurihara
Learning Relevant Molecular Representations via Self-Attentive Graph Neural Networks. IEEE BigData (2019)
Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama, Masahito Kurihara
A Personalized Affect Response Model for Online News Articles. LaCATODA/BtG@IJCAI (2019)
Yuko Sakurai, Satoshi Oyama, Mingyu Guo, Makoto Yokoo
Deep False-Name-Proof Auction Mechanisms. PRIMA (2019)
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Random Feature Maps for the Itemset Kernel. AAAI (2019)
Jing Song, Satoshi Oyama, Masahito Kurihara
Identification of Possible Common Causes by Intrinsic Dimension Estimation. BigComp (2019)
Hiroki Morise, Satoshi Oyama, Masahito Kurihara
Bayesian probabilistic tensor factorization for recommendation and rating aggregation with multicriteria evaluation data. Expert Syst. Appl. 131 (2019)
Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara
Explainable Recommendation Using Review Text and a Knowledge Graph. IEEE BigData (2019)
Yuko Sakurai, Satoshi Oyama
Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning. Australasian Conference on Artificial Intelligence (2019)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data. BigComp (2019)
Ryota Sekiya, Satoshi Oyama, Masahito Kurihara
User-Adaptive Preparation of Mathematical Puzzles Using Item Response Theory and Deep Learning. IEA/AIE (2019)
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI (2018)
Hiroyuki Ihara, Shunsuke Imai, Satoshi Oyama, Masahito Kurihara
Implementation and Evaluation of Information Set Monte Carlo Tree Search for Pokémon. SMC (2018)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Effective neural network training with adaptive learning rate based on training loss. Neural Networks 101 (2018)
Yuko Sakurai, Jun Kawahara, Satoshi Oyama
Aggregating Crowd Opinions Using Shapley Value Regression. MIWAI (2018)
Taiju Matsui, Satoshi Oyama, Masahito Kurihara
Effect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft. PRIMA (2018)
Masahito Kurihara, Satoshi Oyama, Tomoumi Takase
Longer Distance Weight Prediction for Faster Training of Neural Networks. SMC (2018)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization. Neural Comput. 30 (7) (2018)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Semi-Supervised Learning From Crowds Using Deep Generative Models. AAAI (2018)
Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara
Toward Explainable Recommendations: Generating Review Text from Multicriteria Evaluation Data. IEEE BigData (2018)
Jing Song, Satoshi Oyama, Masahito Kurihara
A Framework for Crowd-Based Causal Analysis of Open Data. SMC (2018)
Jing Song, Satoshi Oyama, Masahito Kurihara
Tell cause from effect: models and evaluation. Int. J. Data Sci. Anal. 4 (2) (2017)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo
A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. PAKDD (1) (2017)
Hiroki Morise, Satoshi Oyama, Masahito Kurihara
Collaborative filtering and rating aggregation based on multicriteria rating. IEEE BigData (2017)
Yuko Sakurai, Masafumi Matsuda, Masato Shinoda, Satoshi Oyama
Crowdsourcing Mechanism Design. PRIMA (2017)
Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima
Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. Int. J. Data Sci. Anal. 2 (1-2) (2016)
Gota Gando, Taiga Yamada, Haruhiko Sato, Satoshi Oyama, Masahito Kurihara
Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs. Expert Syst. Appl. 66 (2016)
Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima
From one star to three stars: Upgrading legacy open data using crowdsourcing. DSAA (2015)
Yuko Sakurai, Masato Shinoda, Satoshi Oyama, Makoto Yokoo
Flexible Reward Plans for Crowdsourced Tasks. PRIMA (2015)
Jun Ito, Jing Song, Hiroyuki Toda, Yoshimasa Koike, Satoshi Oyama
Assessment of Tweet Credibility with LDA Features. WWW (Companion Volume) (2015)
Lei Duan, Satoshi Oyama, Masahito Kurihara, Haruhiko Sato
Crowdsourced Semantic Matching of Multi-Label Annotations. IJCAI (2015)
Yuko Sakurai, Satoshi Oyama, Masato Shinoda, Makoto Yokoo
Flexible Reward Plans to Elicit Truthful Predictions in Crowdsourcing. HCOMP (2015)
Lei Duan, Satoshi Oyama, Haruhiko Sato, Masahito Kurihara
Multi-Emotion Estimation in Narratives from Crowdsourced Annotations. JCDL (2015)
Keiki Zen, Masahiro Suzuki, Haruhiko Sato, Satoshi Oyama, Masahito Kurihara
Monophonic sound source separation by non-negative sparse autoencoders. SMC (2014)
Lei Duan, Satoshi Oyama, Haruhiko Sato, Masahito Kurihara
Separate or joint? Estimation of multiple labels from crowdsourced annotations. Expert Syst. Appl. 41 (13) (2014)
Michal Ptaszynski, Rafal Rzepka, Satoshi Oyama, Masahito Kurihara, Kenji Araki
A Survey on Large Scale Corpora and Emotion Corpora. Inf. Media Technol. 9 (4) (2014)
Masahiro Suzuki, Haruhiko Sato, Satoshi Oyama, Masahito Kurihara
Transfer learning based on the observation probability of each attribute. SMC (2014)
Hiroki Takamatsu, Haruhiko Sato, Satoshi Oyama, Masahito Kurihara
Method sequence generation for multiple object states using dynamic symbolic execution. SMC (2014)
Jingjing Wang, Satoshi Oyama, Masahito Kurihara, Hisashi Kashima
Learning an accurate entity resolution model from crowdsourced labels. ICUIMC (2014)
Yasuyuki Shirai, Hiroyuki Morita, Masakazu Nakamoto, Satoshi Oyama
Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying. ICDM (2014)
Hao Liu, Satoshi Oyama, Masahito Kurihara, Haruhiko Sato
Landmark FN-DBSCAN: An Efficient Density-Based Clustering Algorithm with Fuzzy Neighborhood. J. Adv. Comput. Intell. Intell. Informatics 17 (1) (2013)
Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima
Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. IJCAI (2013)
Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima
EM-Based Inference of True Labels Using Confidence Judgments. HCOMP (Works in Progress / Demos) (2013)
Michal Ptaszynski, Hiroaki Dokoshi, Satoshi Oyama, Rafal Rzepka, Masahito Kurihara, Kenji Araki, Yoshio Momouchi
Affect analysis in context of characters in narratives. Expert Syst. Appl. 40 (1) (2013)
Yasuyuki Shirai, Hiroyuki Takashima, Koji Tsuruma, Satoshi Oyama
Similarity Joins on Item Set Collections Using Zero-Suppressed Binary Decision Diagrams. DASFAA (1) (2013)
Hao Liu, Masahito Kurihara, Satoshi Oyama, Haruhiko Sato
An incremental self-organizing neural network based on enhanced competitive Hebbian learning. IJCNN (2013)
Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama, Shin-ichi Minato
Incremental Set Recommendation Based on Class Differences. PAKDD (1) (2012)
Hao Liu, Haruhiko Sato, Satoshi Oyama, Masahito Kurihara
A robust energy artificial neuron based incremental self-organizing neural network with a dynamic structure. SMC (2012)
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Trans. Inf. Syst. (11) (2012)
Yuku Takahashi, Hiroaki Ohshima, Mitsuo Yamamoto, Hirotoshi Iwasaki, Satoshi Oyama, Katsumi Tanaka
Evaluating significance of historical entities based on tempo-spatial impacts analysis using Wikipedia link structure. HT (2011)
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
Cross-Temporal Link Prediction. ICDM (2011)
Mitsuo Yamamoto, Yuku Takahashi, Hirotoshi Iwasaki, Satoshi Oyama, Hiroaki Ohshima, Katsumi Tanaka
Extraction and Geographical Navigation of Important Historical Events in the Web. W2GIS (2011)
Wei Wu, Jun Xu, Hang Li, Satoshi Oyama
Learning a Robust Relevance Model for Search Using Kernel Methods. J. Mach. Learn. Res. 12 (2011)
Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Cloud as Virtual Databases: Bridging Private Databases and Web Services. DASFAA (1) (2010)
Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda
Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Trans. Inf. Syst. (10) (2010)
Makoto P. Kato, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection. CIKM (2010)
Natsuki Takata, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Searching the Web for Alternative Answers to Questions on WebQA Sites. WAIM (2010)
Ryohei Takahashi, Satoshi Oyama, Hiroaki Ohshima, Katsumi Tanaka
Evaluating Truthfulness of Modifiers Attached to Web Entity Names. WAIM (2010)
Makoto P. Kato, Satoshi Oyama, Hiroaki Ohshima, Katsumi Tanaka
Query by example for geographic entity search with implicit negative feedback. ICUIMC (2010)
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Katsumi Tanaka
Supporting analysis of future-related information in news archives and the web. JCDL (2009)
Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD (2009)
Hiroaki Ohshima, Adam Jatowt, Satoshi Oyama, Katsumi Tanaka
Seeing Past Rivals: Visualizing Evolution of Coordinate Terms over Time. WISE (2009)
Takuya Kobayashi, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Modeling and analyzing review information on the web focusing on credibility. SAC (2009)
Takuya Kobayashi, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Evaluating brand value on the web. WICOW (2009)
Hiroaki Ohshima, Satoshi Oyama, Hiroyuki Kondo, Katsumi Tanaka
Web information credibility analysis by geographical social support. IUCS (2009)
Hiroaki Ohshima, Adam Jatowt, Satoshi Oyama, Satoshi Nakamura, Katsumi Tanaka
Towards Improving Web Search: A Large-Scale Exploratory Study of Selected Aspects of User Search Behavior. WISE (2009)
Makoto P. Kato, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Query by analogical example: relational search using web search engine indices. CIKM (2009)
Masashi Yamaguchi, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Unsupervised Discovery of Coordinate Terms for Multiple Aspects from Search Engine Query Logs. Web Intelligence (2008)
Satoshi Oyama
Vehicle Safety Communications: Progresses in Japan. ICVES (2008)
Satoshi Oyama, Kenichi Shirasuna, Katsumi Tanaka
Identification of time-varying objects on the web. JCDL (2008)
Taiga Yoshida, Satoshi Nakamura, Satoshi Oyama, Katsumi Tanaka
Query Transformation by Visualizing and Utilizing Information about What Users Are or Are Not Searching. ICADL (2008)
Makoto P. Kato, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Can Social Tagging Improve Web Image Search?. WISE (2008)
Heeryon Cho, Toru Ishida, Satoshi Oyama, Rieko Inaba, Toshiyuki Takasaki
Assisting Pictogram Selection with Categorized Semantics. IEICE Trans. Inf. Syst. (11) (2008)
Satoshi Oyama
Status of ITS radiocommunications standards and their perspectives in Japan. PIMRC (2008)
Satoshi Oyama, Katsumi Tanaka
How Many Objects?: Determining the Number of Clusters with a Skewed Distribution. ECAI (2008)
Shun Hattori, Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Mining the Web for Hyponymy Relations Based on Property Inheritance. APWeb (2008)
Heeryon Cho, Toru Ishida, Toshiyuki Takasaki, Satoshi Oyama
Assisting Pictogram Selection with Semantic Interpretation. ESWC (2008)
Shun Hattori, Taro Tezuka, Hiroaki Ohshima, Satoshi Oyama, Junpei Kawamoto, Keishi Tajima, Katsumi Tanaka
ReCQ: Real-World Context-Aware Querying. CONTEXT (2007)
Satoshi Nakamura, Shinji Konishi, Adam Jatowt, Hiroaki Ohshima, Hiroyuki Kondo, Taro Tezuka, Satoshi Oyama, Katsumi Tanaka
Trustworthiness Analysis of Web Search Results. ECDL (2007)
Rui Kimura, Satoshi Oyama, Hiroyuki Toda, Katsumi Tanaka
Creating Personal Histories from the Web Using Namesake Disambiguation and Event Extraction. ICWE (2007)
Hiroaki Ohshima, Satoshi Oyama, Katsumi Tanaka
Extracting Semantic Relationships Between Terms from PC Documents and Its Applications to Web Search Personalization. APWeb (2006)
Satoshi Oyama, Katsumi Tanaka
Learning a Distance Metric for Object Identification Without Human Supervision. PKDD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Satoshi Oyama