Research output per year
Research output per year
- 12 results
Search results
-
2024
Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea
Noh, J., Park, S. Y., Bae, W., Kim, K., Cho, J. H., Lee, J. S., Kang, S. W., Kim, Y. L., Kim, Y. S., Lim, C. S., Lee, J. P. & Yoo, K. D., Dec 2024, In: Scientific Reports. 14, 1, 29658.Research output: Contribution to journal › Article › peer-review
Open Access -
2023
Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach
Korean Association for the Study of Renal Anemia and Artificial Intelligence (KARAI), Dec 2023, In: Scientific Reports. 13, 1, 4605.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions
Woo, S., Noh, J. & Kim, K., 1 Dec 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 12, p. 9713-9726 14 p., 3159990.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
2021
Line chart understanding with convolutional neural network
Sohn, C., Choi, H., Kim, K., Park, J. & Noh, J., 2 Mar 2021, In: Electronics (Switzerland). 10, 6, p. 1-17 17 p., 749.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Revisiting dropout: Escaping pressure for training neural networks with multiple costs
Woo, S., Kim, K., Noh, J., Shin, J. H. & Na, S. H., 1 May 2021, In: Electronics (Switzerland). 10, 9, 989.Research output: Contribution to journal › Article › peer-review
Open Access -
2020
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea
Noh, J., Yoo, K. D., Bae, W., Lee, J. S., Kim, K., Cho, J. H., Lee, H., Kim, D. K., Lim, C. S., Kang, S. W., Kim, Y. L., Kim, Y. S., Kim, G. & Lee, J. P., 1 Dec 2020, In: Scientific Reports. 10, 1, 7470.Research output: Contribution to journal › Article › peer-review
Open Access28 Scopus citations -
Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study
Choi, J. S., Kim, M. H., Kim, Y. C., Lim, Y. H., Bae, H. J., Kim, D. K., Park, J. Y., Noh, J. & Lee, J. P., 1 Dec 2020, In: Scientific Reports. 10, 1, 13715.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
2018
Conflict Relaxation of Activation-Based Regularization for Neural Network
Kim, K., Noh, J., Kim, D. K. & Kim, M., 14 Sep 2018, In: IEEE Access. 6, p. 52510-52518 9 p., 8466565.Research output: Contribution to journal › Article › peer-review
Open Access -
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network
Kim, K., Kim, D. K., Noh, J. & Kim, M., 2018, In: IEEE Access. 6, p. 75216-75228 13 p., 8558483.Research output: Contribution to journal › Article › peer-review
Open Access57 Scopus citations -
2017
A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
Yoo, K. D., Noh, J., Lee, H., Kim, D. K., Lim, C. S., Kim, Y. H., Lee, J. P., Kim, G. & Kim, Y. S., 1 Dec 2017, In: Scientific Reports. 7, 1, 8904.Research output: Contribution to journal › Article › peer-review
Open Access91 Scopus citations -
2016
Superior outcomes of kidney transplantation compared with dialysis: An optimal matched analysis of a national population-based cohort study between 2005 and 2008 in Korea
Yoo, K. D., Kim, C. T., Kim, M. H., Noh, J., Kim, G., Kim, H., An, J. N., Park, J. Y., Cho, H., Kim, K. H., Kim, H., Ryu, D. R., Kim, D. K., Lim, C. S., Kim, Y. S. & Lee, J. P., 1 Aug 2016, In: Medicine (United States). 95, 33, 274.Research output: Contribution to journal › Article › peer-review
Open Access50 Scopus citations -
2015
Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy
Noh, J., Punithan, D., Lee, H., Lee, J., Kim, Y., Kim, D. & McKay, R. B., 30 Jun 2015, In: International Journal of Software Engineering and Knowledge Engineering. 25, 5, p. 829-849 21 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations