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ORCIDMakiya Nakashima
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2020 – today
- 2023
[j4]Wenjun Fan
, Hsiang-Jen Hong, Jinoh Kim, Simeon Wuthier, Makiya Nakashima, Xiaobo Zhou, Ching-Hua Chow, Sang-Yoon Chang:
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection. IEEE Trans. Dependable Secur. Comput. 20(2): 1302-1318 (2023)- [c5]Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen:
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. MLHC 2023: 473-488 - [i3]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:
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR abs/2304.07675 (2023) - 2022
- [j3]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT anomaly detection performance for federated learning. Digit. Commun. Networks 8(3): 314-323 (2022) - [j2]Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang:
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking. IEEE Trans. Netw. Serv. Manag. 19(3): 3619-3632 (2022) - [i2]Makiya Nakashima, Inyeop Jang, Ramesh Basnet, Mitchel Benovoy, W. H. Wilson Tang, Christopher Nguyen, Deborah Kwon, Tae-Hyun Hwang, David Chen:
Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging. CoRR abs/2205.12429 (2022) - 2021
- [j1]Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
Automated Feature Selection for Anomaly Detection in Network Traffic Data. ACM Trans. Manag. Inf. Syst. 12(3): 18:1-18:28 (2021) - [c4]Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang:
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking. IEEE ICBC 2021: 1-9 - [c3]Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang:
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking. LCN 2021: 319-322 - 2020
- [c2]Makiya Nakashima, Alex Sim, Jinoh Kim:
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. SNTA@HPDC 2020: 53-56 - [c1]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT Anomaly Detection Performance for Federated Learning. MSN 2020: 206-213
2010 – 2019
- 2019
- [i1]Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. CoRR abs/1910.12806 (2019)
Coauthor Index
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