Ryo Asaoka

14 papers A* 6Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Accelerating Service Identification in Network Elements using SNI Exclusion.
CANDARW
Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi
2025 J jnl
Service Identification Method Based on SNI Considering Entropy.
J. Inf. Process.
Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi
2023 — conf
Occurrence Probability of SNI in Accessing Service for Improving Accuracy of Service Identification.
ICCE-Taiwan
Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi
2023 J jnl
Service Identification of TLS Flows Based on Handshake Analysis.
J. Inf. Process.
Ryo Asaoka, Yuto Soma, Hiroaki Yamauchi, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi, Aki Kobayashi
2022 — conf
Accuracy Improvement by Occurrence Probability of Service Identification based on SNI.
CANDARW
Ryo Asaoka, Akihiro Nakao, Masato Oguchi, Saneyasu Yamaguchi
2021 A* conf
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma.
KDD
Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi
2020 J jnl
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification.
CoRR
Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi
2019 A* conf
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression.
KDD
Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2018 A* conf
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization.
KDD
Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2017 A* conf
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes.
KDD
Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 J jnl
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors.
CoRR
Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 — conf
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data.
HEALTHINF
Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2015 A* conf
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering.
KDD
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2013 A* conf
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements.
ICDM
Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi