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ORCIDMhd Irvan
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Journal Articles
- 2023
[j1]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Privacy preserving medical knowledge discovery by multiple "patient characteristics" formatted data. Int. J. Netw. Comput. 13(2): 195-215 (2023)
Conference and Workshop Papers
- 2023
- [c17]Kenta Kitamura
, Mhd Irvan, Rie Shigetomi Yamaguchi:
XAI for Medicine by ChatGPT Code interpreter. BDSIC 2023: 28-34 - [c16]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Brain Intervention Therapy Dilemma: Functional Recovery versus Identity. BI 2023: 467-475 - [c15]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Impact of Anonymity Indicator "PFDOC Entropy l-Diversity" on Medical Data Utility. CANDARW 2023: 239-245 - [c14]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Disclosure of Multiple "Patient Characteristics" Format Statistics leaks Quasi-identifier Linkage. IWSPA@CODASPY 2023: 15-25 - 2022
- [c13]Tran Van Sang, Rie Shigetomi Yamaguchi, Mhd Irvan, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent on Deep Neural Networks. CSCI 2022: 183-188 - [c12]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Anonymity test attacks and vulnerability indicators for the "Patient characteristics" disclosure in medical articles. EuroS&P Workshops 2022: 186-193 - [c11]Tran Van Sang, Mhd Irvan, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization. CANDAR 2022: 66-75 - [c10]Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi:
Medical knowledge discovery by randomly sampled "patient characteristics" formatted data. CANDARW 2022: 323-329 - 2021
- [c9]Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution. ICISSP 2021: 723-728 - 2020
- [c8]Shuji Yamaguchi, Hidehito Gomi, Ryosuke Kobayashi, Tran Phuong Thao, Mhd Irvan, Rie Shigetomi Yamaguchi:
Effective Classification for Multi-modal Behavioral Authentication on Large-Scale Data. AsiaJCIS 2020: 101-109 - [c7]Mhd Irvan, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
User authentication based on smartphone application usage patterns through learning classifier systems. IEEE BigData 2020: 4462-4466 - [c6]Katsuya Matsuoka, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi:
A Score Fusion Method by Neural Network in Multi-Factor Authentication. CODASPY 2020: 147-149 - [c5]Tran Phuong Thao, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Self-enhancing GPS-Based Authentication Using Corresponding Address. DBSec 2020: 333-344 - [c4]Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
Predicting Smartphone Users' Future Locations through Deep Reinforcement Learning. CANDAR (Workshops) 2020: 120-124 - [c3]Katsuya Matsuoka, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi:
Score Fusion Method by Neural Network Using GPS and Wi-Fi Log Data. ISITA 2020: 470-474 - 2014
- [c2]Na Chang, Mhd Irvan, Takao Terano:
An Item Influence-Centric Algorithm for Recommender Systems. DCAI 2014: 553-560 - 2013
- [c1]Na Chang, Mhd Irvan, Takao Terano:
A TV Program Recommender Framework. KES 2013: 561-570
Informal and Other Publications
- 2022
- [i1]Tran Van Sang, Mhd Irvan, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization. CoRR abs/2210.05268 (2022)
Coauthor Index
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