Publications

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

Stable Neural Stochastic Differential Equations for Irregular Time Series Classification

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

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

Sensor Drift Compensation for Gas Mixture Classification in Batch Experiments

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

Quantifying Incident Impacts and Identifying Influential Factors on Urban Traffic Networks

Multichannel Convolution Neural Network for Gas Mixture Classification

Simulation-based Anomaly Detection in Nuclear Reactors

Transfer-Learning based approach for mixture gas classification

Maximum feasibility estimation

Multi-channel Convolution Neural Network for Gas Mixture Classification

Maritime anomaly detection based on VAE–CUSUM monitoring system

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

Spatial cluster detection in mobility networks: a copula approach

Revealing household characteristics using connected home products

A practical approach to measuring the impacts of stockouts on demand

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

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

An integrated holistic model of a complex process

Batch sequential minimum energy design with design-region adaptation

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

A new metric of absolute percentage error for intermittent demand forecasts

Layers of experiments with adaptive combined design

Adaptive combined space-filling and D-optimal designs

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

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

A time prediction model of cursor movement with path constraints