Biometric Signal Analysis
EEG-based biometric signal processing and analysis research
EEG-based biometric signal processing and analysis research
Image processing and computer vision applications for pedestrians
Reinforcement learning applications for intelligent transportation systems
VR-based driving simulation and transportation research
Microscopic and macroscopic traffic simulation
Urban mobility patterns and travel demand modeling
Urban research and spatial analysis for sustainable city development
Learning Julia for optimization and autonomous driving research
Optimization benchmark function for testing algorithms
Published in SH Urban Research & Insight, 2024
Recommended citation: Park, W., Ko, H., & Kim, S.-N. (2024). "An analysis of threshold access time and distance to age-friendly facilities: A comparison between senior and pre-senior populations." SH Urban Research & Insight, 14(3), 75-96.
Published in Virtual Reality, 2024
Recommended citation: Son, D., Im, B., Her, J., Park, W., Kang, S. J., & Kim, S. N. (2025). "Street lighting environment and fear of crime: a simulated virtual reality experiment." Virtual Reality, 29(1), 1-17.
Published in Virtual Reality, 29, 145, 2025
Recommended citation: Park, W., Son, D., Im, B. et al. (2025). "Fear of crime revisited: analyzing the effects of urban nighttime illuminance on neural and psychological responses using recorded virtual environments and electroencephalogram data." Virtual Reality, 29, 145.
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Published:
Introduction to statistical learning concepts with Python (NumPy, Pandas, Matplotlib)
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Measuring the quality of fit: MSE, bias-variance trade-off, and training vs. test error
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KNN classifier and regressor: a non-parametric approach to classification and regression
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Fitting a linear model with a single predictor using OLS
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Extending linear regression to multiple predictors, interaction terms, and polynomial regression
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Optimization algorithm for minimizing the cost function in linear regression
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Binary classification using the logistic function and maximum likelihood estimation
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LDA, QDA, and Naive Bayes classifiers based on Bayes theorem
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Extending linear models beyond Gaussian: Poisson regression and the GLM framework
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Model assessment and selection using validation set, LOOCV, and k-fold cross-validation
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Estimating uncertainty and standard errors through resampling
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Shrinkage methods for regularization: L1 and L2 penalties
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Best subset, forward stepwise, and backward stepwise selection methods
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Non-linear extensions of linear models: polynomial, step functions, and regression splines
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Recursive binary splitting for classification and regression trees
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Ensemble methods using bootstrap aggregation and random feature selection
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Boosting and other ensemble strategies for improved prediction
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Dimensionality reduction using PCA: theory, implementation, and visualization
Undergraduate course, [Chung-Ang Univesrity], 2024