Tae Joon Jun
Orcid: 0000-0002-6808-5149
According to our database1,
Tae Joon Jun
authored at least 38 papers
between 2016 and 2024.
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Bibliography
2024
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation.
BMC Medical Informatics Decis. Mak., December, 2024
LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis.
Comput. Biol. Medicine, January, 2024
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients.
CoRR, 2024
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization.
CoRR, 2024
2022
RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources.
Comput. Methods Programs Biomed., 2022
2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases.
BMC Medical Informatics Decis. Mak., 2021
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes.
Expert Syst. Appl., 2021
xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias.
Comput. Methods Programs Biomed., 2021
2020
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography.
Neural Networks, 2020
Chaotic Time Series Prediction Using a Novel Echo State Network Model with Input Reconstruction, Bayesian Ridge Regression and Independent Component Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2020
CoRR, 2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder.
CoRR, 2020
CoRR, 2020
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud.
J. Supercomput., 2019
Medical Biol. Eng. Comput., 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes.
CoRR, 2019
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography.
CoRR, 2019
Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanisms.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images.
CoRR, 2018
Proceedings of the 26th Euromicro International Conference on Parallel, 2018
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input.
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the International Conference on Control, 2016