Satoshi Oyama

Pairwise classification using quantum support vector machine with Kronecker kernel. 

Quantum Machine Intelligence, 4(2) 1-13, 2022  Peer-reviewed

Neural collaborative filtering with multicriteria evaluation data. 

Applied Soft Computing, 119 108548-108548, 2022  Peer-reviewed

Sparse random feature maps for the item-multiset kernel. 

Neural Networks, 143 500-514, 2021  Peer-reviewed

Factorization Machines with Regularization for Sparse Feature Interactions. 

Journal of Machine Learning Research, 22 153-50, 2021  Peer-reviewed

Random Feature Maps for the Itemset Kernel 

Proceedings of the AAAI Conference on Artificial Intelligence, 33 3199-3206, Jul 17, 2019  Peer-reviewed

Bayesian probabilistic tensor factorization for recommendation and rating aggregation with multicriteria evaluation data. 

Expert Syst. Appl., 131 1-8, 2019  Peer-reviewed

Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization 

NEURAL COMPUTATION, 30(7) 2005-2023, Jul, 2018  Peer-reviewed

Effective neural network training with adaptive learning rate based on training loss 

NEURAL NETWORKS, 101 68-78, May, 2018  Peer-reviewed

Semi-supervised learning from crowds with deep generative models 

Proc. 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 1-8, Feb, 2018  Peer-reviewed

Tell cause from effect: models and evaluation. 

I. J. Data Science and Analytics, 4(2) 99-112, 2017  Peer-reviewed

Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs 

EXPERT SYSTEMS WITH APPLICATIONS, 66 295-301, Dec, 2016  Peer-reviewed

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. 

I. J. Data Science and Analytics, 2(1-2) 45-60, 2016  Peer-reviewed

Crowdsourced Semantic Matching of Multi-Label Annotations. 

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 3483-3489, 2015  Peer-reviewed

Separate or joint? Estimation of multiple labels from crowdsourced annotations 

EXPERT SYSTEMS WITH APPLICATIONS, 41(13) 5723-5732, Oct, 2014  Peer-reviewed

Affect analysis in context of characters in narratives 

EXPERT SYSTEMS WITH APPLICATIONS, 40(1) 168-176, Jan, 2013  Peer-reviewed

Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. 

IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2554-2560, 2013  Peer-reviewed

Learning a Robust Relevance Model for Search Using Kernel Methods 

JOURNAL OF MACHINE LEARNING RESEARCH, 12 1429-1458, May, 2011  Peer-reviewed

Cross-temporal link prediction 

Proceedings - IEEE International Conference on Data Mining, ICDM, 1188-1193, 2011  Peer-reviewed