Makiya Nakashima
According to our database1,
Makiya Nakashima
authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
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., 2025
2024
Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging.
Proceedings of the Machine Learning for Health, 2024
2023
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection.
IEEE Trans. Dependable Secur. Comput., 2023
CoRR, 2023
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.
Proceedings of the Machine Learning for Healthcare Conference, 2023
2022
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking.
IEEE Trans. Netw. Serv. Manag., 2022
Digit. Commun. Networks, 2022
Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging.
CoRR, 2022
2021
ACM Trans. Manag. Inf. Syst., 2021
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021
2020
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020
2019
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection.
CoRR, 2019