Papers

Publications

Refereed Journal Articles

1. Hwang, D. and Lim, C. (2024). Toxicity Prediction of Chemicals Using OECD Test Guideline Data with Graph-based Deep Learning Models, Korean Journal of Applied Statistics, 37(3), 353-378

2. Won, H., Kim, B., Kwak, I.-Y. and Lim, C. (2023). Using Various Pre-trained Models for Audio Feature Extraction in Automated Audio Captioning, Expert Systems With Applications, 231, 120664

3. Cho, S., Park, S. and Lim, C. (2023). Area-wise Relational Knowledge Distillation, Communications for Statistical Applications and Methods, 30(5), 501-516.

4. Park, S.-Y., Woo, S.-H. and Lim, C. (2023). Predicting PM10 and PM2.5 Concentration in Container Ports: A Deep Learning Approach, Transportation  Research Part D, 115, 103601

5. Mun, J., Kang, J., Kim, K., Bae, J., Lee, H. and Lim, C. (2023). Deep Learning-based Speech Recognition for Korean Elderly Speech Data Including Dementia Patients, Korean Journal of Applied Statistics, 36(1), 33-48

6. Kim, B. J., Kim, B. S., Mun, J. H., Lim, C. and Kim, K. H. (2022). An Accurate Deep Learning Model for Wheezing in Children Using Real World Data, Scientific Reports, 12, 22465. https://doi.org/10.1038/s41598-022-25953-1

7. Seo, M., Lim, C. and Kwon, H. (2022). In silico Prediction Models for Thyroid Peroxidase Inhibitors and Their Application to Synthetic Flavors, Food Science and Biotechnology, 31, 483-495

8. Won, H., Kim, B., Kwak, I.-Y., and Lim, C. (2021). Transfer Learning followed by Transformer for Automated Audio Captioning. Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2021), Barcelona, Spain, 221-225. https://doi.org/10.5281/zenodo.5770113

9. Park, J. H., Kwak, I.-Y., and Lim, C. (2021). A Deep Learning Model with Self-Supervised Learning and Attention Mechanism for COVID-19 Diagnosis Using Chest X-ray Images, Electronics, 10, 1996. https://doi.org/10.3390/electronics10161996

10. Bae, S.-Y., Lee, J., Lim, C., and Choi, J. (2021). Effective Data-Balancing Methods for Class-Imbalanced Genotoxicity Datasets Using Machine Learning Algorithms and Molecular Fingerprints, Computational Toxicology, 20,100178

11. Sun, H., Lee, Y.-S., and Lim, C. (2021).  Understanding the Semantic Change of Hangeul Using Word Embedding, Korean Journal of Applied Statistics, 34(3), 187-200

12. Park, J., and Lim, C. (2021). Predicting Movie Audience with Stacked Generalization by Combining Machine Learning Algorithms, Communications for Statistical Applications and Methods, 28(3), 217-232

13. Kang, J., and Lim, C. (2021).  Using Similarity Based Image Caption to Aid Visual Question Answering, Korean Journal of Applied Statistics, 34(2), 191-204

14. Kim, E. B., Park, J., Lee, Y.-S., and Lim, C. (2021). Two-dimensional Attention-based Multi-input LSTM for Time Series Prediction, Communications for Statistical Applications and Methods, 28(1), 39-57

15. Lee, Y., and Lim, C. (2021). Performance Comparison of Variance Models in a Robust Estimation Method for Heteroscedastic Nonlinear Models, Journal of the Korean Data & Information Science Society, 32(1), 243-256 

16. Park, C., Lee, J., and Lim, C. (2020). Analysis of Quantitative High Throughput Screening Data Using a Robust Method for Nonlinear Mixed Effects Models, Communications for Statistical Applications and Methods, 27(6), 701-714 

17. Jeong, H., Park, J., Lee, Y.-S.,  and Lim, C. (2020). Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data, Journal of Health Informatics and Statistics, 45(4), 317–334 

18. Kim, M., Lee, Y.-S., and Lim, C. (2020).  Deformable Convolutional Networks Based Mask R-CNN, Journal of the Korean Data & Information Science Society, 31(6), 992–1008

19.  Bae, K. I., Park, J., Lee, J., Lee, Y.-S., and Lim, C. (2020). Flower Classification with Modified Multimodal Convolutional Neural Networks, Expert Systems with Applications, 159, 113455.

20.  Lee, W., Lee, S., Chong, S., Lee, K., Lee, J, Choi, J. C., and Lim, C. (2020). Radiation Dose Reduction and Improvement of Image Quality in Digital Chest Radiography by New Spatial Noise Reduction Algorithm, PLoS ONE, 15(2): e0228609. https://doi. org/10.1371/journal.pone.0228609    

21.  Lee, Y., Kim, K., Lim, C., and Kim, J. (2020).  Effects of the ABCDE Bundle on the Prevention of Post-intensive Care Syndrome: A Retrospective Study, Journal of Advanced Nursing, 76(2), 588–599 

22. Zhang, S., Ju, J., Jiao, S., Lim, C., Molnar, K., Zhang, J., Li, H., Sun, J., and Zhang, H. (2019). Optimizing Time-series Prediction on China’s Green Trade Economy. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1579-1584). IEEE

23. Jeong, H., and Lim, C. (2019). A Review of Artificial Intelligence Based Demand Forecasting Techniques, Korean Journal of Applied Statistics, 32(6), 795-835  

24.   Kim, M., Cho, S., Jeong, H., Lee, Y.-S., and Lim, C. (2019). Initialization by Using Truncated Distributions in Artificial Neural Network, Korean Journal of Applied Statistics, 32(5), 693-702

25.   Yoo, J., Kim, Y., Lim, C., Heo, M., Hwang, I., and Chong, S. (2019). Assessment of Spatial Tumor Heterogeneity Using CT Phenotypic Features Estimated by Semi-Automated 3D CT Volumetry of Multiple Pulmonary Metastatic Nodules, PLOS ONE, 14(8), e0220550

26.  Jung, J., Lim, C., Jung, D., and Choi, J. (2019). ToxCastTM Program for High Throughput Screening of Environmental Chemical Toxicity, a Review, Journal of the Korea Society for Environmental Analysis, 22(2), 77-83

27.   Lee, D. N., and Lim, C. (2019). Statistical Methods for Testing Tumor Heterogeneity, Korean Journal of Applied Statistics, 32(3), 331-348 

28.   Sun, H., and Lim, C. (2019). Analysis of the National Police Agency Business Trends Using Text Mining, Korean Journal of Applied Statistics, 32(2), 301-317

29.   Bae, K. I., Lee, Y., and Lim, C. (2019). Review of Multi-View Learning: Understanding Methods and Their Application, Korean Journal of Applied Statistics, 32(1), 41-68

30.   Kim, B., and Lim, C. (2018). Prediction of Number of Movie Audiences Using Hybrid Model Combining Multiple Regression Using GLS and BASS Model, Korean Journal of Applied Statistics, 31(4), 447-461

31.   Yoo, J., and Lim, C. (2018). Robust Ridge Regression for Nonlinear Mixed Effects Models with Applications to Quantitative High Throughput Screening Assay Data, Korean Journal of Applied Statistics, 31(1), 123-137

32.   Kim, M., Kim, K., Lim, C., and Kim, J. S. (2018). Symptom Clusters and Quality of Life According to the Survivorship Stage in Ovarian Cancer Survivors, Western Journal of Nursing Research, 40(9), 1278-1300

33.  Park, T., Chong, S., Lim, C., Jung, J. W., Park, I. W., Choi, B. W., Lee, C. U., and Choi, J. C. (2017). Natural Course of the Nodular Bronchiectatic form of Mycobacterium Avium Complex Lung Disease: Long-Term Radiologic Change without Treatment, PLOS ONE, 12(10), e0185774

34.   Kim, Y., Jung, Y., Min, J., Song, E., Ok, J., Lim, C., Kim, K., and Kim, J. (2017). Development and Validation of a Nursing Professionalism Evaluation Model in a Career Ladder System, PLOS ONE, 12(10), e0186310

35.   Woo, H., Kwak, J., and Lim, C. (2017). A Study on Patent Evaluation Model Based on Bayesian Approach of the Structural Equation Model, Korean Journal of Applied Statistics, 30(6), 901-916

36.   Jung, H., and Lim, C. (2017). Comparison of Results from Two Analyzing Methods for the Relation between Psychological Self-Sufficiency and Economic Self-Sufficiency, Korean Journal of Applied Statistics, 30(6), 827-849

37.   Sun, H., Lim, C., and Lee, Y. (2017). Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm, Korean Journal of Applied Statistics, 30(4), 603-613

38.   Heo, M., and Lim, C. (2017). A Minimum Combination T-test Method for Multiple Testing in One sample, Korean Journal of Applied Statistics, 30(2), 301-309

39.   Lee, M., Kim, K., Lim, C., and Kim, J. S. (2017). Posttraumatic Growth in Breast Cancer Survivors and Their Husbands Based on the Actor-Partner Interdependence Model, Psycho-Oncology, 26(10), 1586-1592 

40.   Yu, H., and Lim, C. (2016). Preliminary Test Estimation Method Accounting for Error Variance Structure in Nonlinear Regression Models, Korean Journal of Applied Statistics, 29(4), 595-611

41.    Lim, C. (2016). Interval-Valued Data Regression Using Nonparametric Additive Models, Journal of Korean Statistical Society, 45(3), 358-370

42.   Lim, C. (2015). Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data, Statistics in Medicine, 34(7), 1185-1198

43.   Lim, C., Sen, P. K., and Peddada, S. D. (2013). Robust Nonlinear Regression in Applications, Journal of the Indian Society of Agricultural Statistics, 67(2), 215-234

44.   Lim, C., Sen, P. K., and Peddada, S. D. (2013). Robust Analysis of High Throughput Screening (HTS) Assay Data, Technometrics, 55(2), 150-160

45.   Lim, C., Sen, P. K., and Peddada, S. D. (2012). Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression, Journal of Statistical Planning and Inference, 142(5), 1047-1062

46.   Lim, C., Sen, P. K., and Peddada, S. D. (2010). Statistical Inference in Nonlinear Regression under Heteroscedasticity, Sankhya B, 72, 202-218

47.   Lee, J., Marion, T. L., Abe, K., Lim, C., Pollack, G. M., and Brouwer, K. L. R. (2010). Hepatobiliary Disposition of Troglitazone and Metabolites in Rat and Human Sandwich-Cultured Hepatocytes: Use of Monte Carlo Simulations to Assess the Impact of Changes in Biliary Excretion on Troglitazone Sulfate Accumulation. J. of Pharmacol. Exp. Ther., 332(1), 26-34

Book Chapters 

1.   Lim, C., Sen, P. K., and Peddada, S. D. (2011). M-estimation Methods in Heteroscedastic Nonlinear Regression Models. In Recent Advances in Biostatistics: False Discovery, Survival Analysis and Related Topics, Vol. 4, 169-190

2.   O’Brien, T. E., and Lim, C. (2017). New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling, In Chen, D., Jin, Z., Li, G., Li, Y., Liu, A. and Zhao, Y., eds., New Advances in Statistics and Data Science, Springer-Verlag: Cham, Switzerland, 61-74

Text Books 

1.  Statistics with scExcel (co-authors: C. Park and Y. Kim). Freedom Academy, Paju, 2018.