| A systematic review of machine learning classification methodologies for modelling passenger mode choice T Hillel, M Bierlaire, M Elshafie, Y Jin Journal of Choice Modelling 38, 100221, 2021 | 115 | 2021 |
| Recreating passenger mode choice-sets for transport simulation: A case study of London, UK T Hillel, MZ Elshafie, Y Jin Proceedings of the Institution of Civil Engineers - Smart Infrastructure and …, 2018 | 56 | 2018 |
| Assisted specification of discrete choice models N Ortelli, T Hillel, FC Pereira, M de Lapparent, M Bierlaire Journal of choice modelling 39, 100285, 2021 | 27 | 2021 |
| Capturing trade-offs between daily scheduling choices J Pougala, T Hillel, M Bierlaire Journal of Choice Modelling 43, 100354, 2022 | 23 | 2022 |
| Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms G Lederrey, V Lurkin, T Hillel, M Bierlaire Journal of choice modelling 38, 100226, 2021 | 20 | 2021 |
| Weak teachers: Assisted specification of discrete choice models using ensemble learning T Hillel, M Bierlaire, M Elshafie, Y Jin hEART 2019, 8th Symposium of the European Association for Research in …, 2019 | 20 | 2019 |
| DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data G Lederrey, T Hillel, M Bierlaire arXiv preprint arXiv:2203.03489, 2022 | 15 | 2022 |
| Understanding travel mode choice: A new approach for city scale simulation T Hillel University of Cambridge, 2019 | 15 | 2019 |
| Choice set generation for activity-based models J Pougala, T Hillel, M Bierlaire | 10 | 2021 |
| New perspectives on the performance of machine learning classifiers for mode choice prediction T Hillel Tech. Rep, 2020 | 9* | 2020 |
| OASIS: Optimisation-based activity scheduling with integrated simultaneous choice dimensions J Pougala, T Hillel, M Bierlaire Transportation Research Part C: Emerging Technologies 155, 104291, 2023 | 6 | 2023 |
| Modelling mobility tool availability at a household and individual level: A case study of Switzerland T Hillel, J Pougala, P Manser, R Luethi, W Scherr, M Bierlaire European Association for Research in Transportation, 2021 | 5 | 2021 |
| Scheduling of daily activities: an optimization approach J Pougala, T Hillel, M Bierlaire The 5th NYUAD Transportation Symposium, 2019 | 5 | 2019 |
| A prediction and behavioural analysis of machine learning methods for modelling travel mode choice JÁ Martín-Baos, JA López-Gómez, L Rodriguez-Benitez, T Hillel, ... Transportation research part C: emerging technologies 156, 104318, 2023 | 4 | 2023 |
| Estimating flexibility preferences to resolve temporal scheduling conflicts in activity-based modelling P Manser, T Haering, T Hillel, J Pougala, R Krueger, M Bierlaire Transportation 51 (2), 501-528, 2024 | 3* | 2024 |
| Simulating intra-household interactions for in- and out-of-home activity scheduling N Rezvany, M Bierlaire, T Hillel Transportation Research Part C: Emerging Technologies 157, 2023 | 3 | 2023 |
| Parameter estimation for activity-based models J Pougala, T Hillel, M Bierlaire 22rd Swiss Transport Research Conference (STRC 2022), Ascona, Switzerland, 2022 | 3 | 2022 |
| Integrated models of transport and energy demand: A literature review and framework N Rezvany, T Hillel, M Bierlaire | 3 | 2021 |
| Dynamic choice models M Bierlaire, E Frejinger, T Hillel Handbook of Choice Modelling, 568-592, 2024 | 2 | 2024 |
| Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models N Ortelli, T Hillel, FC Pereira, M De Lapparent, M Bierlaire European Association for Research in Transportation, 2021 | 2 | 2021 |
Michel BierlaireEcole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
