An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. - Makiya Nakashima; Alex Sim; Youngsoo Kim; Jonghyun Kim; Jinoh Kim (CoRR, 2019)

Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. - Makiya Nakashima; Alex Sim; Jinoh Kim (SNTA@HPDC, 2020)

Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking. - Jinoh Kim; Makiya Nakashima; Wenjun Fan; Simeon Wuthier; Xiaobo Zhou 002; Ikkyun Kim; Sang-Yoon Chang (IEEE ICBC, 2021)

A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking. - Jinoh Kim; Makiya Nakashima; Wenjun Fan; Simeon Wuthier; Xiaobo Zhou 002; Ikkyun Kim; Sang-Yoon Chang (LCN, 2021)

Automated Feature Selection for Anomaly Detection in Network Traffic Data. - Makiya Nakashima; Alex Sim; Youngsoo Kim; Jonghyun Kim; Jinoh Kim (ACM Trans. Manag. Inf. Syst., 2021)

Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Inyeop Jang; Ramesh Basnet; Mitchel Benovoy; W. H. Wilson Tang; Christopher Nguyen; Deborah Kwon; Tae-Hyun Hwang; David Chen 006 (CoRR, 2022)

Enhancing IoT anomaly detection performance for federated learning. - Brett Weinger; Jinoh Kim; Alex Sim; Makiya Nakashima; Nour Moustafa; K. John Wu (Digit. Commun. Networks, 2022)

A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking. - Jinoh Kim; Makiya Nakashima; Wenjun Fan; Simeon Wuthier; Xiaobo Zhou 002; Ikkyun Kim; Sang-Yoon Chang (IEEE Trans. Netw. Serv. Manag., 2022)

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. - Makiya Nakashima; Donna Salem; W. H. Wilson Tang; Christopher Nguyen; Tae-Hyun Hwang; Ding Zhao; Byung-Hak Kim; Deborah Kwon; David Chen 006 (MLHC, 2023)

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. - Jielin Qiu; Peide Huang; Makiya Nakashima; Jaehyun Lee; Jiacheng Zhu; W. H. Wilson Tang; Pohao Chen 001; Christopher Nguyen; Byung-Hak Kim; Debbie Kwon; Douglas Weber; Ding Zhao; et al. (CoRR, 2023)

Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection. - Wenjun Fan; Hsiang-Jen Hong; Jinoh Kim; Simeon Wuthier; Makiya Nakashima; Xiaobo Zhou 002; Ching-Hua Chow; Sang-Yoon Chang (IEEE Trans. Dependable Secur. Comput., 2023)

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Po-Hao Chen 001; Michael Bolen; Christopher Nguyen; W. H. Wilson Tang; Richard Grimm; Deborah Kwon; David Chen 003 (ML4H@NeurIPS, 2024)

FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. - Xiaotan Sun; Makiya Nakashima; Christopher Nguyen; Po-Hao Chen 001; W. H. Wilson Tang; Deborah Kwon; David Chen 003 (J. Am. Medical Informatics Assoc., 2025)