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

  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
• 2021

  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
• 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