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Melvin Wong
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Year
ResLogit: A residual neural network logit model for data-driven choice modelling
M Wong, B Farooq
Transportation Research Part C: Emerging Technologies 126, 103050, 2021
42*2021
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling
M Wong, B Farooq, GA Bilodeau
Journal of choice modelling 29, 152-168, 2018
382018
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
I Saadi, M Wong, B Farooq, J Teller, M Cools
arXiv preprint arXiv:1703.02433, 2017
362017
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data
M Wong, B Farooq
Transportation Research Part C: Emerging Technologies 110, 247-268, 2020
252020
Latent behaviour modelling using discriminative restricted Boltzmann machines
M Wong, B Farooq, GA Bilodeau
5th International Choice Modeling Conference, 1-18, 2017
62017
Modelling latent travel behaviour characteristics with generative machine learning
M Wong, B Farooq
2018 21st International Conference on Intelligent Transportation Systemsá…, 2018
52018
Information processing constraints in travel behaviour modelling: A generative learning approach
M Wong, B Farooq
arXiv preprint arXiv:1907.07036, 2019
32019
Next direction route choice model for cyclist using panel data
M Wong, B Farooq, GA Bilodeau
22016
Battery swapping demand simulation for electric micromobility vehicles considering multi-source information interaction and behavior decision
F Zhang, H Lyu, Y Ji, M Wong, C Kuai, J Fan
Journal of Cleaner Production 414, 137525, 2023
12023
Prompt Evolution for Generative AI: A Classifier-Guided Approach
M Wong, YS Ong, A Gupta, KK Bali, C Chen
2023 IEEE Conference on Artificial Intelligence (CAI), 226-229, 2023
12023
Latent Class model using discriminative restricted Boltzmann Machine
M Wong, B Farooq, GA Bilodeau
International Choice Modelling Conference 2017, 2017
12017
Unimodal Ordinal Logit: A Logit Model with a Utility-Correction Term Capturing Correlations from Ordinal Responses
M Wong, S Varotto, M Bierlaire
Available at SSRN 4220600, 2022
2022
A Unimodal Ordered Logit model for ranked choices
M Wong, J┴ MartÝn-Baos, M Bierlaire
2021
Demystifying out-of-sample discrete choice prediction: What can we learn from machine learning?
M Wong
CMC Online Seminar Series 2020, 2020
2020
Distributed heterogeneous data learning approach for choice modelling using residual neural networks
M Wong, B Farooq
International Choice Modelling Conference 2019, 2019
2019
Generative modelling and machine learning methods for travel behaviour analysis
M Wong
Ryerson University, 2019
2019
A generalized Product of Experts model for non-linear utility specifications in travel behaviour models
M Wong, B Farooq
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
2019
On the Use of Conditional Restricted Boltzmann Machine for Implicit Modeling of Latent Travel Behavior Characteristics
M Wong, B Farooq, A Sobhani
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
2018
Group ID U11418 Affiliated authors Antonini, Gianluca
B Atasoy, S Ataš, I Aza´ez, MM Bender, M Bierlaire, S Binder, ...
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