| Comparison of four types of artificial neural network and a multinomial logit model for travel mode choice modeling D Lee, S Derrible, FC Pereira Transportation Research Record 2672 (49), 101-112, 2018 | 151 | 2018 |
| Attitudes on autonomous vehicle adoption using interpretable gradient boosting machine D Lee, J Mulrow, CJ Haboucha, S Derrible, Y Shiftan Transportation Research Record 2673 (11), 865-878, 2019 | 56 | 2019 |
| Predicting residential water demand with machine-based statistical learning D Lee, S Derrible Journal of Water Resources Planning and Management 146 (1), 04019067, 2020 | 46 | 2020 |
| Interrelationships between urban travel demand and electricity consumption: a deep learning approach A Movahedi, AB Parsa, A Rozhkov, D Lee, AK Mohammadian, S Derrible Scientific Reports 13 (1), 6223, 2023 | 11 | 2023 |
| Analyzing travel behavior in Hanoi using support vector machine TMT Truong, HB Ly, D Lee, BT Pham, S Derrible Transportation planning and technology 44 (8), 843-859, 2021 | 10 | 2021 |
| Visual analysis of a smart city’s energy consumption J Trelles Trabucco, D Lee, S Derrible, GE Marai Multimodal Technologies and Interaction 3 (2), 30, 2019 | 10 | 2019 |
| Effectiveness of Green Infrastructure Location Based on a Social Well-Being Index S Ko, D Lee Sustainability 13 (17), 9620, 2021 | 5 | 2021 |
| Predicting residential water consumption: modeling techniques and data perspectives D Lee, S Derrible J. Water Resour. Plan. Manag 146, 04019067, 2019 | 5 | 2019 |
| Maximum affluence and lifestyle: Definition and Implications for environmental impact evaluation J Mulrow, D Lee, S Derrible International Conference on New Horizons in Green Civil Engineering (NHICE-01), 2018 | 2 | 2018 |
| Development of a machine learning-based sketch planning model for predicting mobile emissions S Ko, J Park, D Lee Transportation Research Interdisciplinary Perspectives 10, 100379, 2021 | 1 | 2021 |
| A Study on the Traffic Volume Correction and Prediction Using SARIMA Algorithm D Han, DW Lee, D Jung The Journal of The Korea Institute of Intelligent Transport Systems 20 (6), 1-13, 2021 | 1 | 2021 |
| Investigating Residential Building Energy Consumption using Regression Tree Approach D Lee, S Derrible, J Mulrow International Conference on New Horizons in Green Civil Engineering (NHICE-01), 2018 | 1 | 2018 |
| Time Series Modeling Pipeline for Urban Behavioral Demand Prediction under Uncertainty M Jin, D Lee, KY Rok, hyunsoo Lee The Journal of The Korea Institute of Intelligent Transportation Systems, 2023 | | 2023 |
| Estimation of the Effect of Commercial Vehicle Driving Safety Training Using the Propensity Score Matching Method J Lim, D Lee Journal of Korean Society of Transportation 41 (2), 254-265, 2023 | | 2023 |
| Development of a City-wide Traffic Accident Prediction Model Using Hybrid Machine-based Learning Approaches Y Kim, D Lee, A Hwang Journal of Safety and Crisis Management 13 (3), 2023 | | 2023 |
| Investigating Traveler’s Preference and Behaviors of Korea-Japan Undersea Tunnel between Busan and Fukuoka Using Interpretable Machine Learning Approaches S Ko, D Lee, H Jung Journal of Korean Society of Transportation 39 (5), 2021 | | 2021 |
| Interdependencies of Urban Behavioral Dynamics Whilst COVID-19 Spread S Ko, D Lee Sustainability 13 (17), 9910, 2021 | | 2021 |
| Interdependencies of Urban Behavioral Dynamics Whilst COVID-19 Spread. Sustainability 2021, 13, 9910 S Ko, D Lee s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Machine-based Statistical Learning of Urban Metabolism D Lee University of Illinois at Chicago, 2019 | | 2019 |
| Decision Tree Analysis of Residential Water Use in the United States P Cairo, D Klawitter, D Lee, S Derrible International Symposium on Sustainable Systems and Technology, International …, 2017 | | 2017 |
