48 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
6 papers
Unbiased Learning for the Causal Effect of Recommendation
Masahiro Sato, Sho Takemori, Janmajay Singh +1
Increasing users' positive interactions, such as purchases or clicks, is an important objective of recommender systems. Recommenders typically aim to select items that users will i…
Inter-organisational patent opposition network: How companies form adversarial relationships
Tomomi Kito, Nagi Moriya, Junichi Yamanoi
Much of the research on networks using patent data focuses on citations and the collaboration networks of inventors, hence regarding patents as a positive sign of invention. Howeve…
Submodular Bandit Problem Under Multiple Constraints
Sho Takemori, Masahiro Sato, Takashi Sonoda +2
The linear submodular bandit problem was proposed to simultaneously address diversified retrieval and online learning in a recommender system. If there is no uncertainty, this prob…
Bayesian Modeling of Random Walker for Community Detection in Networks
Takafumi J. Suzuki
We propose a generative model to detect globally optimal community structures in networks by utilizing random walks. Sophisticated parameter optimization algorithms are developed b…
Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig, Yan-Ying Chen, Francine Chen +1
Automatic medical report generation from chest X-ray images is one possibility for assisting doctors to reduce their workload. However, the different patterns and data distribution…
Predicting Triple Scoring with Crowdsourcing-specific Features - The fiddlehead Triple Scorer at WSDM Cup 2017
Masahiro Sato
The Triple Scoring Task at the WSDM Cup 2017 involves the prediction of the relevance scores between persons and professions/nationalities. The ground truth of the relevance scores…