A TV Program Recommender Framework. - Na Chang; Mhd Irvan; Takao Terano (KES, 2013)

An Item Influence-Centric Algorithm for Recommender Systems. - Na Chang; Mhd Irvan; Takao Terano (DCAI, 2014)

Effective Classification for Multi-modal Behavioral Authentication on Large-Scale Data. - Shuji Yamaguchi; Hidehito Gomi; Ryosuke Kobayashi; Tran Phuong Thao; Mhd Irvan; Rie Shigetomi Yamaguchi (AsiaJCIS, 2020)

User authentication based on smartphone application usage patterns through learning classifier systems. - Mhd Irvan; Toshiyuki Nakata 001; Rie Shigetomi Yamaguchi (IEEE BigData, 2020)

A Score Fusion Method by Neural Network in Multi-Factor Authentication. - Katsuya Matsuoka; Mhd Irvan; Ryosuke Kobayashi; Rie Shigetomi Yamaguchi (CODASPY, 2020)

Self-enhancing GPS-Based Authentication Using Corresponding Address. - Tran Phuong Thao; Mhd Irvan; Ryosuke Kobayashi; Rie Shigetomi Yamaguchi; Toshiyuki Nakata 001 (DBSec, 2020)

Predicting Smartphone Users' Future Locations through Deep Reinforcement Learning. - Mhd Irvan; Tran Phuong Thao; Ryosuke Kobayashi; Toshiyuki Nakata 001; Rie Shigetomi Yamaguchi (CANDAR (Workshops), 2020)

Score Fusion Method by Neural Network Using GPS and Wi-Fi Log Data. - Katsuya Matsuoka; Mhd Irvan; Ryosuke Kobayashi; Rie Shigetomi Yamaguchi (ISITA, 2020)

Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution. - Mhd Irvan; Tran Phuong Thao; Ryosuke Kobayashi; Toshiyuki Nakata 001; Rie Shigetomi Yamaguchi (ICISSP, 2021)

Component-Wise Natural Gradient Descent on Deep Neural Networks. - Tran Van Sang; Rie Shigetomi Yamaguchi; Mhd Irvan; Toshiyuki Nakata 001 (CSCI, 2022)

Anonymity test attacks and vulnerability indicators for the "Patient characteristics" disclosure in medical articles. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (EuroS&P Workshops, 2022)

Medical knowledge discovery by randomly sampled "patient characteristics" formatted data. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (CANDARW, 2022)

Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization. - Tran Van Sang; Mhd Irvan; Rie Shigetomi Yamaguchi; Toshiyuki Nakata 001 (CANDAR, 2022)

XAI for Medicine by ChatGPT Code interpreter. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (BDSIC, 2023)

Brain Intervention Therapy Dilemma: Functional Recovery versus Identity. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (BI, 2023)

Impact of Anonymity Indicator "PFDOC Entropy l-Diversity" on Medical Data Utility. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (CANDARW, 2023)

Disclosure of Multiple "Patient Characteristics" Format Statistics leaks Quasi-identifier Linkage. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (IWSPA@CODASPY, 2023)

Privacy preserving medical knowledge discovery by multiple "patient characteristics" formatted data. - Kenta Kitamura; Mhd Irvan; Rie Shigetomi Yamaguchi (Int. J. Netw. Comput., 2023)

Sub-Batch Update Mechanism for Component-Wise Natural Gradient Descent. - Tran Van Sang; Toshiyuki Nakata 001; Rie Shigetomi Yamaguchi; Mhd Irvan; Yoshihide Yoshimoto (ICAAI, 2024)

Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network. - Mhd Irvan; Franziska Zimmer; Ryosuke Kobayashi; Maharage Nisansala Sevwandi Perera; Roberta Tamponi; Rie Shigetomi Yamaguchi (IJCCI, 2024)

ARZSEP: Angle-Based Routing Optimization in ZSEP Protocol for Heterogeneous WSNs. - Nirwana Haidar Hari; Mokh. Sholihul Hadi; Sujito Sujito; Adi Izhar Che Ani; Samsul Setumin; Mhd Irvan (Wirel. Pers. Commun., 2024)