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DATGAN: Integrating expert knowledge into deeplearning for population synthesis
Free accessBASE | 2021| -
From one-day to multiday activity scheduling: Extending the OASIS framework
Free accessBASE | 2023| -
Integrated in- and out-of-home scheduling framework: A utility optimization-based approach
Free accessBASE | 2022| -
DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data
Free accessArXiv | 2022| -
Integrated in- and out-of-home scheduling framework: A utility optimization-based approach
Free accessBASE | 2022| -
Integrated models of transport and energy demand: A literature review and framework
Free accessBASE | 2021| -
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms
Free accessArXiv | 2020| -
Stochastic Optimization with Adaptive Batch Size: Discrete Choice Models as a Case Study
Free accessBASE | 2019| -
Resolving time conflicts in activity-based scheduling: A case study of Lausanne
Free accessBASE | 2021| -
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
Free accessArXiv | 2023|
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