Ryo Asaoka

According to our database1, Ryo Asaoka authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Service Identification of TLS Flows Based on Handshake Analysis.
J. Inf. Process., 2023

Occurrence Probability of SNI in Accessing Service for Improving Accuracy of Service Identification.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

2022
Accuracy Improvement by Occurrence Probability of Service Identification based on SNI.
Proceedings of the 2022 Tenth International Symposium on Computing and Networking, CANDAR 2022, 2022

2021
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification.
CoRR, 2020

2019
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors.
CoRR, 2016

Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013


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