Publications | Data Analytics Lab

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach

YongKyung Oh and Sungil Kim (2024), Information Fusion

Stable Neural Stochastic Differential Equations for Irregular Time Series Classification

YongKyung Oh, Dongyoung Lim, and Sungil Kim (2024), ICLR (spotlight)

Domain Knowledge-Informed Functional Outlier Detection in the Refrigerator Inspection Lanes

Jonghwan Mun, Jitae Yoo, Heesun Kim, Nayi Ryu, and Sungil Kim (2024), Computers & Industrial Engineering

Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors from AIS Data in Maritime Logistics

YongKyung Oh and Sungil Kim (2023), IEEE Transactions on Automation Science and Engineering

Sensor Drift Compensation for Gas Mixture Classification in Batch Experiments

YongKyung Oh, Juhui Lee, and Sungil Kim (2023), Quality and Reliability Engineering International

Time Delay Estimation of Traffic Congestion Propagation due to Accidents based on Statistical Causality

YongKyung Oh, JiIn Kwak, JuYeong Lee, and Sungil Kim (2023), Electronic Research Archive

Multichannel Convolution Neural Network for Gas Mixture Classification

YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, and Sungil Kim (2022), Annals of Operations Research

Quantifying Incident Impacts and Identifying Influential Factors on Urban Traffic Networks

JuYeong Lee, JiIn Kwak, YongKyung Oh and Sungil Kim (2022), Transportmetrica B : Transport Dynamics

Multi-channel Convolution Neural Network for Gas Mixture Classification

YongKyung Oh and Sungil Kim (2021), 2021 International Conference on Data Mining Workshops (ICDMW)

Maximum feasibility estimation

Sungil Kim (2021), Information Sciences

Transfer-Learning based approach for mixture gas classification

YongKyung Oh, Namu Kim, and Sungil Kim (2021), Journal of the Korean Institute of Industrial Engineers

Simulation-based Anomaly Detection in Nuclear Reactors

YongKyung Oh, Hanjoo Kim, Deokjung Lee, and Sungil Kim (2021), Journal of the Korean Institute of Industrial Engineers

Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data source

Sungil Kim, Rong Duan, Guang-Qin Ma, and Heeyoung Kim (2020), Spatial Statistics

Maritime anomaly detection based on VAE-CUSUM monitoring system

Jaemin Park and Sungil Kim (2020), Journal of the Korean Institute of Industrial Engineers

A practical approach to measuring the impacts of stockouts on demand

Sungil Kim, Heeyoung Kim, and Jye-Chyi Lu (2019), Journal of Business & Industrial Marketing

Revealing household characteristics using connected home products

Sungil Kim (2019), Information Sciences

Spatial cluster detection in mobility networks: a copula approach

Heeyoung Kim, Rong Duan, Sungil Kim, Jaehwan Lee, and Guang-Qin Ma (2019), Journal of the Royal Statistical Society: Series C

Batch sequential minimum energy design with design-region adaptation

Heeyoung Kim, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, and Martha A. Grover (2017), Journal of Quality Technology

An integrated holistic model of a complex process

Heeyoung Kim, Sungil Kim, Jian Deng, Jye-Chyi Lu, K. Wang, C. Zhang, Martha A. Grover, and B. Wang (2017), The International Journal of Advanced Manufacturing Technology

Early detection of vessel delays using combined historical and real-time information

Sungil Kim, Heeyoung Kim, and Yongro Park (2017), Journal of the operational research society

Incorporation of engineering knowledge into the modeling process: a local approach

Heeyoung Kim, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, and Martha A. Grover (2017), International Journal of Production Research

A new metric of absolute percentage error for intermittent demand forecasts

Sungil Kim and Heeyoung Kim (2016), International Journal of Forecasting

Ordinal classification of imbalanced data with application in emergency and disaster information services

Sungil Kim, Heeyoung Kim, and Younghwan Namkoong (2016), IEEE Intelligent Systems

Adaptive combined space-filling and D-optimal designs

Sungil Kim, Heeyoung Kim, Richard W. Lu, Jye-Chyi Lu, Michael J. Casciato, and Martha A. Grover (2015), International Journal of Production Research

Layers of experiments with adaptive combined design

Sungil Kim, Heeyoung Kim, Richard W. Lu, Jye-Chyi Lu, Michael J. Casciato, and Martha A. Grover (2015), Naval Research Logistics

Optimization of a carbon dioxide-assisted nanoparticle deposition process using sequential experimental design with adaptive design space

Michael J. Casciato, Sungil Kim, Jye-Chyi Lu, Dennis W. Hess, Martha A. Grover (2012), Industrial & engineering chemistry research

Optimization of carbon dioxide-assisted nanoparticle deposition process with uncertain design space

Michael J. Casciato, Sungil Kim, Jye-Chyi Lu, Dennis W. Hess, Martha A. Grover (2012), Computer Aided Chemical Engineering

A time prediction model of cursor movement with path constraints

Seung-Kweon Hong and Sungil Kim (2005), Journal of Korean Institute of Industrial Engineers