| Enhancing discrete choice models with representation learning B Sifringer, V Lurkin, A Alahi Transportation Research Part B: Methodological 140, 236-261, 2020 | 90 | 2020 |
| Accounting for price endogeneity in airline itinerary choice models: An application to Continental US markets V Lurkin, LA Garrow, MJ Higgins, JP Newman, M Schyns Transportation Research Part A: Policy and Practice 100, 228-246, 2017 | 69 | 2017 |
| How COVID-19 is impacting and reshaping the airline industry L Garrow, V Lurkin Journal of Revenue and Pricing Management 20, 3-9, 2021 | 59 | 2021 |
| The airline container loading problem with pickup and delivery V Lurkin, M Schyns European Journal of Operational Research 244 (3), 955-965, 2015 | 56 | 2015 |
| Urban low emissions zones: A behavioral operations management perspective V Lurkin, J Hambuckers, T Van Woensel Transportation Research Part A: Policy and Practice 144, 222-240, 2021 | 35 | 2021 |
| Enhancing discrete choice models with neural networks B Sifringer, V Lurkin, A Alahi 18th Swiss Transport Research Conference, 1-3, 2018 | 29 | 2018 |
| Modeling competition among airline itineraries V Lurkin, LA Garrow, MJ Higgins, JP Newman, M Schyns Transportation Research Part A: Policy and Practice 113, 157-172, 2018 | 24 | 2018 |
| A new twist on the gig economy: conducting surveys on Amazon Mechanical Turk LA Garrow, Z Chen, M Ilbeigi, V Lurkin Transportation 47, 23-42, 2020 | 22 | 2020 |
| Computational methods for estimating multinomial, nested, and cross-nested logit models that account for semi-aggregate data JP Newman, V Lurkin, LA Garrow Journal of choice modelling 26, 28-40, 2018 | 19 | 2018 |
| 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 | 15 | 2021 |
| Let me not lie: Learning multinomial logit B Sifringer, V Lurkin, A Alahi arXiv preprint arXiv:1812.09747, 2018 | 15 | 2018 |
| Airline OR innovations soar during COVID-19 recovery LA Garrow, V Lurkin, L Marla Operations Research Forum 3 (1), 14, 2022 | 12 | 2022 |
| A simulation-based heuristic to find approximate equilibria with disaggregate demand models S Bortolomiol, V Lurkin, M Bierlaire Transportation Science 55 (5), 1025-1045, 2021 | 9 | 2021 |
| Operational Research: methods and applications F Petropoulos, G Laporte, E Aktas, SA Alumur, C Archetti, H Ayhan, ... Journal of the Operational Research Society, 1-195, 2023 | 8 | 2023 |
| Price-based regulation of oligopolistic markets under discrete choice models of demand S Bortolomiol, V Lurkin, M Bierlaire Transportation, 2021 | 8 | 2021 |
| Introduction to disaggregate demand models M Bierlaire, V Lurkin Leading developments from informs communities, 48-67, 2017 | 8 | 2017 |
| Stable allocations for choice-based collaborative price setting L Schlicher, V Lurkin European Journal of Operational Research 302 (3), 1242-1254, 2022 | 7 | 2022 |
| Airline customers’ connection time preferences in domestic US markets J Herring, V Lurkin, LA Garrow, JP Clarke, M Bierlaire Journal of Air Transport Management 79, 101688, 2019 | 7 | 2019 |
| Snm: Stochastic newton methodfor optimization of discrete choice models G Lederrey, V Lurkin, M Bierlaire 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 6 | 2018 |
| Modeling in air transportation: cargo loading and itinerary choice V Lurkin 4OR 15 (1), 107-108, 2017 | 6 | 2017 |
Michel BierlaireEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
