Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes.
CoRR, 2023
Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm.
Comput. Environ. Urban Syst., 2018
Understanding urban development types and drivers in Wallonia: a multi-density approach.
Int. J. Bus. Intell. Data Min., 2018
A Time Monte Carlo method for addressing uncertainty in land-use change models.
Int. J. Geogr. Inf. Sci., 2018
An efficient hierarchical model for multi-source information fusion.
Expert Syst. Appl., 2018
The use of time series forecasting in zone order picking systems to predict order pickers' workload.
Int. J. Prod. Res., 2017
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service.
CoRR, 2017
Identifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin.
Neurocomputing, 2016
Characterizing activity sequences using profile Hidden Markov Models.
Expert Syst. Appl., 2015
Urban Development as a Continuum: A Multinomial Logistic Regression Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
Building a validation measure for activity-based transportation models based on mobile phone data.
Expert Syst. Appl., 2014
An Econometric Analysis of Homeownership Determinants in Belgium.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Annotating mobile phone location data with activity purposes using machine learning algorithms.
Expert Syst. Appl., 2013