Department of Urban Big Data Convergence

Research output

Research output per year 2004 2017 2019 2023 2024

• 39 Article
• 2 Conference contribution
• 1 Conference article
• 1 Letter

Research output per year

Research output per year

Search results

• 2024

  Data-Driven Approach to Evaluate the Level of Service (LOS) of Demand-Responsive Transport for the Disabled (DRTD) with an ANFIS Algorithm

  Park, S., Park, S., Choi, H. & Kim, D. G., 2024, In: Journal of Advanced Transportation. 2024, 7312690.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • adaptive neuro-fuzzy inference system 100%
  • Fuzzy System 100%
  • Disabled People 33%
  • Service Category 33%
  • User Convenience 33%

• Road-pavement classification by artificial neural network model based on tire-pavement noise and road-surface image

  Lee, J. K., Kim, B. K., Choi, H. & Chang, S. I., 5 Nov 2024, In: Applied Acoustics. 225, 110194.

  Research output: Contribution to journal › Article › peer-review

  • Road Surface 100%
  • Artificial Neural Network Model 100%
  • Road Pavement 100%
  • Pavement 100%
  • Artificial Neural Network 75%

• Sparse kernel k-means clustering

  Park, B., Park, C., Hong, S. & Choi, H., 2024, (Accepted/In press) In: Journal of Applied Statistics.

  Research output: Contribution to journal › Article › peer-review

  • Clustering 100%
  • k-means Clustering 100%
  • Selection Method 66%
  • Tensor 50%
  • Real Data 50%
• 2023

  BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning

  Oh, C., Hwang, H., Lee, H. Y., Lim, Y. T., Jung, G., Jung, J., Choi, H. & Song, K., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 24224-24235 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Model 100%
  • Transfer Learning 100%
  • Memory Requirement 25%
  • Design 12%
  • Domain 12%
  16 Scopus citations

• Classification of histogram-valued data with support histogram machines

  Kang, I., Park, C., Yoon, Y. J., Park, C., Kwon, S. S. & Choi, H., 2023, In: Journal of Applied Statistics. 50, 3, p. 675-690 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Vector 100%
  • Classifier 50%
  • Support Vector Machine 50%
  • Optimization Problem 50%
  • Classification Method 50%
  2 Scopus citations

• Fréchet distance-based cluster analysis for multi-dimensional functional data

  Kang, I., Choi, H., Yoon, Y. J., Park, J., Kwon, S. S. & Park, C., Aug 2023, In: Statistics and Computing. 33, 4, 75.

  Research output: Contribution to journal › Article › peer-review

  • Research 100%
  • Trajectory 100%
  • Functional Variable 100%
  • Variables 100%
  • Cluster Analysis 100%
  1 Scopus citations

• Interpretable classification for multivariate gait analysis of cerebral palsy

  Yoon, C., Jeon, Y., Choi, H., Kwon, S. S. & Ahn, J., Dec 2023, In: BioMedical Engineering Online. 22, 1, 109.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Gait Analysis 100%
  • Measures 40%
  • Prediction 40%
  • Research 33%
  • Discrimination 33%
  1 Scopus citations

• Key Factors Influencing Vehicle Availability Associated with the User Waiting Time of Demand Responsive Transport (DRT) for People with Disabilities

  Kim, D. G., Lee, C. & Choi, H., Oct 2023, In: KSCE Journal of Civil Engineering. 27, 10, p. 4485-4493 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Models 100%
  • Infrastructure 100%
  • Influencing Factor 100%
  • User 100%
  • Characteristics 50%

• PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport

  Lee, E., Choi, H. & Kim, D. G., 2023, In: Journal of Advanced Transportation. 2023, 7152010.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Transport 100%
  • Characteristics 100%
  • Prediction 100%
  • Graph Convolutional Network 100%
  • Time 80%
  1 Scopus citations

• Quantile estimation for encrypted data

  Park, M., Kim, J., Shin, S., Park, C., Jeon, J. J., Kwon, S. S. & Choi, H., Nov 2023, In: Applied Intelligence. 53, 21, p. 24782-24791 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Quantile 100%
  • Quantile Estimation 100%
  • Calculation Time 40%
  • Ciphertext 33%
  • Loss Function 33%
  1 Scopus citations

• Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements

  Kwon, S. S., Choi, H., Lee, W., Kim, Y., Kim, H. C. & Lee, W., Apr 2023, In: Environmental Modelling and Software. 162, 105653.

  Research output: Contribution to journal › Article › peer-review

  • Land Use 100%
  • Objective Function 25%
  • Measurement 25%
  • Limitations 25%
  • Satisfies 25%
• 2022

  Investigating the Spatiotemporal Imbalance of Accessibility to Demand Responsive Transit (DRT) Service for People with Disabilities: Explanatory Case Study in South Korea

  Son, J. H., Kim, D. G., Lee, E. & Choi, H., 2022, In: Journal of Advanced Transportation. 2022, 6806947.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Service 100%
  • Investigation 100%
  • South Korea 100%
  • Disability 100%
  • Service Industries 100%
  8 Scopus citations

• Learning Fair Representation via Distributional Contrastive Disentanglement

  Oh, C., Won, H., So, J., Kim, T., Kim, Y., Choi, H. & Song, K., 14 Aug 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1295-1305 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Model 100%
  • Domain 100%
  • Contrastive Learning 100%
  • Autoencoder 100%
  • Representation Learning 100%
  17 Scopus citations
• 2021

  Multi-omics analyses implicate EARS2 in the pathogenesis of atopic dermatitis

  Park, J., Lutz, S. M., Choi, S., Lee, S., Park, S. C., Kim, K., Choi, H., Park, H., Lee, S. Y., Weiss, S. T., Hong, S. J., Kim, B. S. & Won, S., Aug 2021, In: Allergy: European Journal of Allergy and Clinical Immunology. 76, 8, p. 2602-2604 3 p.

  Research output: Contribution to journal › Letter › peer-review
  5 Scopus citations

• Negative binomial graphical model with excess zeros

  Park, B., Choi, H. & Park, C., Oct 2021, In: Statistical Analysis and Data Mining. 14, 5, p. 449-465 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Negative Binomial 100%
  • Zeros 100%
  • Graphical Model 100%
  • Count Data 42%
  • Class 14%
• 2020

  Primal path algorithm for compositional data analysis

  Jeon, J. J., Kim, Y., Won, S. & Choi, H., Aug 2020, In: Computational Statistics and Data Analysis. 148, 106958.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Algorithm 100%
  • Computational 28%
  • Regression Model 14%
  • Real Data 14%
  • Simulated Data 14%
  4 Scopus citations
• 2019

  Convex clustering analysis for histogram-valued data

  Park, C., Choi, H., Delcher, C., Wang, Y. & Yoon, Y. J., 2019, In: Biometrics. 75, 2, p. 603-612 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering Method 100%
  • Clustering Analysis 100%
  • clustering approach 100%
  • Statistical Approach 100%
  • Unsupervised Learning 100%
  4 Scopus citations

• Convex clustering for binary data

  Choi, H. & Lee, S., 1 Dec 2019, In: Advances in Data Analysis and Classification. 13, 4, p. 991-1018 28 p.

  Research output: Contribution to journal › Article › peer-review

  • Majorization 100%
  • Multiplier 100%
  • Binomial Likelihood 100%
  • Clustering Algorithm 100%
  • Variable Clustering 100%
  8 Scopus citations

• Penalized expectile regression: an alternative to penalized quantile regression

  Liao, L., Park, C. & Choi, H., 1 Apr 2019, In: Annals of the Institute of Statistical Mathematics. 71, 2, p. 409-438 30 p.

  Research output: Contribution to journal › Article › peer-review

  • Quantile Regression 100%
  • Predictor 50%
  • Numerical Analysis 25%
  • Asymmetric 25%
  34 Scopus citations

• Regularized aggregation of statistical parametric maps

  Wang, L. Y., Chung, J., Park, C., Choi, H., Rodrigue, A. L., Pierce, J. E., Clementz, B. A. & McDowell, J. E., Jan 2019, In: Human Brain Mapping. 40, 1, p. 65-79 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Level Analysis 100%
  • False Negative 100%
  • False Positive 100%
  • Simple Average 100%
  • Parametric 100%
  1 Scopus citations

• Regularized boxplot via convex clustering

  Choi, H., Poythress, J. C., Park, C., Jeon, J. J. & Park, C., 3 May 2019, In: Journal of Statistical Computation and Simulation. 89, 7, p. 1227-1247 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Bivariate 100%
  • Subgroup 100%
  • Outlier 100%
  • Exploratory Data Analysis 100%
  • Covariate 100%
  5 Scopus citations
• 2018

  A modified generalized lasso algorithm to detect local spatial clusters for count data

  Choi, H., Song, E., Hwang, S. S. & Lee, W., 12 Oct 2018, In: AStA Advances in Statistical Analysis. 102, 4, p. 537-563 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Count Data 100%
  • Poisson Regression Model 33%
  • Points 33%
  • Dimensional Space 33%
  8 Scopus citations

• The sparse Luce model

  Jeon, J. J. & Choi, H., 1 Aug 2018, In: Applied Intelligence. 48, 8, p. 1953-1964 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Modeling 50%
  • Real Data 50%
  • Prediction 50%
  • Clustering Method 50%
  1 Scopus citations
• 2017

  A robust support vector machine for labeling errors

  Choi, H., Kim, Y., Kwon, S. & Park, C., 14 Sep 2017, In: Communications in Statistics Part B: Simulation and Computation. 46, 8, p. 6061-6073 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Support Vector Machine 100%
  • Outlier 100%
  • Classifier 66%
  • Algorithm 40%
  • Linear Combination 33%

• Homogeneity detection for the high-dimensional generalized linear model

  Jeon, J. J., Kwon, S. & Choi, H., Oct 2017, In: Computational Statistics and Data Analysis. 114, p. 61-74 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Detection 100%
  • Variables 50%
  • Algorithm 50%
  • Numerical Analysis 50%
  • Selection 50%
  8 Scopus citations

• Improving disease prediction by incorporating family disease history in risk prediction models with large-scale genetic data

  Gim, J., Kim, W., Kwak, S. H., Choi, H., Park, C., Park, K. S., Kwon, S., Park, T. & Won, S., Nov 2017, In: Genetics. 207, 3, p. 1147-1155 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Application 100%
  • Prediction Model 100%
  • Genetics 100%
  • Genetic Divergence 100%
  • Genome-Wide Association Study 100%
  11 Scopus citations

• Network analysis for count data with excess zeros

  Choi, H., Gim, J., Won, S., Kim, Y. J., Kwon, S. & Park, C., 6 Nov 2017, In: BMC Genetics. 18, 1, 93.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Zeros 100%
  • Count Data 100%
  • Graphical Model 50%
  • Simulated Data 33%
  • Sequencing 33%
  12 Scopus citations

• Tracking concept drift using a constrained penalized regression combiner

  Wang, L. Y., Park, C., Yeon, K. & Choi, H., 1 Apr 2017, In: Computational Statistics and Data Analysis. 108, p. 52-69 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Models 100%
  • Group 100%
  • Performance 33%
  • Demonstrates 33%
  • Data Stream 33%
  19 Scopus citations
• 2016

  A Classifier Ensemble for Concept Drift Using a Constrained Penalized Regression Combiner

  Wang, L. Y., Park, C., Choi, H. & Yeon, K., 2016, In: Procedia Computer Science. 91, p. 252-259 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Concept Drift 100%
  • classifier ensemble 100%
  • Ensemble Method 40%
  • Underlying Data 20%
  • Generating Distribution 20%
  2 Scopus citations
• 2015

  Evaluation of penalized and nonpenalized methods for disease prediction with large-scale genetic data

  Won, S., Choi, H., Park, S., Lee, J., Park, C. & Kwon, S., 2015, In: BioMed Research International. 2015, 605891.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Prediction 100%
  • Genetics 100%
  • Accuracy 100%
  • Evaluation 100%
  • Shrinkage 100%
  5 Scopus citations

• Fused least absolute shrinkage and selection operator for credit scoring

  Choi, H., Koo, J. Y. & Park, C., 24 Jul 2015, In: Journal of Statistical Computation and Simulation. 85, 11, p. 2135-2147 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Lasso Regression 100%
  • Computational 20%
  • Efficiency 20%
  • Algorithm 20%
  • Discrete Variable 20%
  3 Scopus citations
• 2013

  Sparse bridge estimation with a diverging number of parameters

  Kwon, S., Kim, Y. & Choi, H., 2013, In: Statistics and its Interface. 6, 2, p. 231-242 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Correct Model 100%
  • Estimator 100%
  • Parameter Estimation 50%
  • Sufficient Condition 50%
  • Sample Size 50%
  12 Scopus citations
• 2012

  Approximate penalization path for smoothly clipped absolute deviation

  Choi, H. & Park, C., May 2012, In: Journal of Statistical Computation and Simulation. 82, 5, p. 643-652 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Selection 100%
  • Approximates 100%
  • Numerical Example 33%
  • Real Data 33%

• Consistent model selection criteria on high dimensions

  Kim, Y., Kwon, S. & Choi, H., Apr 2012, In: Journal of Machine Learning Research. 13, p. 1037-1057 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Higher Dimensions 100%
  • Model Selection 100%
  • Sufficient Condition 66%
  • Error Distribution 66%
  • Covariate 66%
  69 Scopus citations
• 2011

  Gene selection and prediction for cancer classification using support vector machines with a reject option

  Choi, H., Yeo, D., Kwon, S. & Kim, Y., 1 May 2011, In: Computational Statistics and Data Analysis. 55, 5, p. 1897-1908 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Support Vector Machine 100%
  • Prediction 100%
  • Selection 100%
  • Learning System 100%
  • Gene Expression Data 75%
  33 Scopus citations

• Predicting the fidelity of JPEG2000 compressed CT images using DICOM header information

  Kim, K. J., Kim, B., Lee, H., Choi, H., Jeon, J. J., Ahn, J. H. & Lee, K. H., Dec 2011, In: Medical Physics. 38, 12, p. 6449-6457 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Image 100%
  • Information 100%
  • Model 100%
  • Independent Variable 100%
  • Radiologist 100%
  7 Scopus citations

• Quadratic approximation on SCAD penalized estimation

  Kwona, S., Choi, H. & Kima, Y., 1 Jan 2011, In: Computational Statistics and Data Analysis. 55, 1, p. 421-428 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Numerical Analysis 100%
  • Real Data 100%
  3 Scopus citations
• 2010

  A sparse large margin semi-supervised learning method

  Choi, H., Kim, J. & Kim, Y., Dec 2010, In: Journal of the Korean Statistical Society. 39, 4, p. 479-487 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Semisupervised Learning 100%
  • Mathematical Optimization 75%
  • Algorithms 50%
  • Standards 25%
  • Objective Function 25%
  1 Scopus citations

• Model averaging via penalized regression for tracking concept drift

  Yeon, K., Song, M. S., Kim, Y., Choi, H. & Park, C., Jun 2010, In: Journal of Computational and Graphical Statistics. 19, 2, p. 457-473 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Models 100%
  • Algorithm 100%
  • Model 100%
  • Algorithms 66%
  • Parameter 57%
  13 Scopus citations
• 2008

  Smoothly clipped absolute deviation on high dimensions

  Kim, Y., Choi, H. & Oh, H. S., Dec 2008, In: Journal of the American Statistical Association. 103, 484, p. 1665-1673 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Higher Dimensions 100%
  • Sample Size 50%
  • Algorithm 33%
  • Covariate 33%
  • Variables 16%
  198 Scopus citations
• 2007

  An empirical study on classification methods for alarms from a bug-finding static C analyzer

  Yi, K., Choi, H., Kim, J. & Kim, Y., 30 Apr 2007, In: Information Processing Letters. 102, 2-3, p. 118-123 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Classification Method 100%
  • Analyzer 100%
  • Linux 50%
  • Classifier 50%
  • Syntactics 25%
  22 Scopus citations
• 2006

  Local polynomial quasi-likelihood regression on random fields

  Choi, H., Lee, Y. K., Park, B. U. & Yu, K. S., Dec 2006, In: Australian and New Zealand Journal of Statistics. 48, 4, p. 491-506 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Polynomial 100%
  • Random Field 100%
  • Efficiency 25%
  • Simulation Study 25%
  • Sample 25%
  1 Scopus citations
• 2004

  Local likelihood density estimation on random fields

  Lee, Y. K., Choi, H., Park, B. U. & Yu, K. S., 15 Jul 2004, In: Statistics and Probability Letters. 68, 4, p. 347-357 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Density Estimation 100%
  • Parametric Inference 25%
  • Asymptotic Analysis 25%
  • Asymptotic Property 25%
  • Kernel Density Estimation 25%
  12 Scopus citations