Takahiro Hoshino

According to our database, Takahiro Hoshino authored at least 11 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Dynamic Dual Sparse Topic Model: Integrating Temporal Dynamics and Sparsity with Spike and Slab Priors into Topic Model.

Tatsuki Masuda, Kei Nakagawa, Takahiro Hoshino

Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

2023

Stimulus-specific random effects inflate false-positive classification accuracy in multivariate-voxel-pattern-analysis: A solution with generalized mixed-effects modelling.

Shogo Kajimura, Takahiro Hoshino, Kou Murayama

NeuroImage, April, 2023

2022

Incremental Informational Value of Floorplans for Rent Price Prediction - Applications of Modern Computer Vision Techniques in Real-Estate.

Jiyan Jonas Schneider, Takahiro Hoshino

Proceedings of the New Frontiers in Artificial Intelligence, 2022

Estimation of Local Average Treatment Effect by Data Combination.

Kazuhiko Shinoda, Takahiro Hoshino

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue.

Daisuke Moriwaki, Komei Fujita, Shota Yasui, Takahiro Hoshino

CoRR, 2019

2018

A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing.

Ryosuke Igari, Takahiro Hoshino

Comput. Stat. Data Anal., 2018

2016

Analysis of an interchange with the restricted entry waiting time in a personal rapid transit system.

Chuan Tian, Takahiro Hoshino, Yoshio Hamamatsu

Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

Robot Science Discussion on the Onset of Dissociative Identity Disorder (DID).

Takahiro Hoshino, Jun'ichi Takeno

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016

2011

Neural Correlates of Foreign-language Learning in Childhood: A 3-Year Longitudinal ERP Study.

Shiro Ojima, Naoko Nakamura, Hiroko Matsuba-Kurita, Takahiro Hoshino, Hiroko Hagiwara

J. Cogn. Neurosci., 2011

2008

Bayesian significance testing and multiple comparisons from MCMC outputs.

Takahiro Hoshino

Comput. Stat. Data Anal., 2008

A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm.

Takahiro Hoshino

Comput. Stat. Data Anal., 2008