Makiya Nakashima

14 papers B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction.
J. Am. Medical Informatics Assoc.
Xiaotan Sun, Makiya Nakashima, Christopher Nguyen, Po-Hao Chen, W. H. Wilson Tang, Deborah Kwon, David Chen
2024 — conf
Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging.
ML4H@NeurIPS
Makiya Nakashima, Po-Hao Chen, Michael Bolen, Christopher Nguyen, W. H. Wilson Tang, Richard Grimm, Deborah Kwon, David Chen
2023 J jnl
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection.
IEEE Trans. Dependable Secur. Comput.
Wenjun Fan, Hsiang-Jen Hong, Jinoh Kim, Simeon Wuthier, Makiya Nakashima, Xiaobo Zhou, Ching-Hua Chow, Sang-Yoon Chang
2023 J jnl
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.
CoRR
Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen
2023 — conf
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.
MLHC
Makiya Nakashima, Donna Salem, W. H. Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen
2022 J jnl
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking.
IEEE Trans. Netw. Serv. Manag.
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
2022 J jnl
Enhancing IoT anomaly detection performance for federated learning.
Digit. Commun. Networks
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
2022 J jnl
Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging.
CoRR
Makiya Nakashima, Inyeop Jang, Ramesh Basnet, Mitchel Benovoy, W. H. Wilson Tang, Christopher Nguyen, Deborah Kwon, Tae-Hyun Hwang, David Chen
2021 B conf
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking.
LCN
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
2021 — conf
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking.
IEEE ICBC
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
2021 J jnl
Automated Feature Selection for Anomaly Detection in Network Traffic Data.
ACM Trans. Manag. Inf. Syst.
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
2020 — conf
Enhancing IoT Anomaly Detection Performance for Federated Learning.
MSN
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
2020 — conf
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities.
SNTA@HPDC
Makiya Nakashima, Alex Sim, Jinoh Kim
2019 J jnl
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection.
CoRR
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim