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Ryo Asaoka
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2020 – today
- 2023
- [j1]Ryo Asaoka, Yuto Soma, Hiroaki Yamauchi, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi, Aki Kobayashi:
Service Identification of TLS Flows Based on Handshake Analysis. J. Inf. Process. 31: 131-142 (2023) - [c9]Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi:
Occurrence Probability of SNI in Accessing Service for Improving Accuracy of Service Identification. ICCE-Taiwan 2023: 817-818 - 2022
- [c8]Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi:
Accuracy Improvement by Occurrence Probability of Service Identification based on SNI. CANDARW 2022: 401-405 - 2021
- [c7]Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi:
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. KDD 2021: 3826-3834 - 2020
- [i2]Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi:
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR abs/2007.15897 (2020)
2010 – 2019
- 2019
- [c6]Yuhui Zheng, Linchuan Xu
, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. KDD 2019: 2278-2286 - 2018
- [c5]Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. KDD 2018: 783-792 - 2017
- [c4]Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. KDD 2017: 2041-2050 - 2016
- [c3]Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data. HEALTHINF 2016: 93-104 - [i1]Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors. CoRR abs/1603.07094 (2016) - 2015
- [c2]Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD 2015: 1979-1988 - 2013
- [c1]Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements. ICDM 2013: 1121-1126
Coauthor Index
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