E-LIB Suche - Ergebnisse für: Hillel, Tim

1

Simulating intra-household interactions for in- and out-of-..:

Rezvany, Negar ; Bierlaire, Michel ; Hillel, Tim
Transportation Research Part C: Emerging Technologies. 157 (2023) - p. 104362 , 2023

Link: https://doi.org/10.1016/..

2

A prediction and behavioural analysis of machine learning m..:

Martín-Baos, José Ángel ; López-Gómez, Julio Alberto ; Rodriguez-Benitez, Luis..
Transportation Research Part C: Emerging Technologies. 156 (2023) - p. 104318 , 2023

Link: https://doi.org/10.1016/..

3

OASIS: Optimisation-based Activity Scheduling with Integrat..:

Pougala, Janody ; Hillel, Tim ; Bierlaire, Michel
Transportation Research Part C: Emerging Technologies. 155 (2023) - p. 104291 , 2023

Link: https://doi.org/10.1016/..

4

Empowering revealed preference survey with a supplementary ..:

Tabasi, Maliheh ; Raei, Alireza ; Hillel, Tim..
Travel Behaviour and Society. 33 (2023) - p. 100632 , 2023

Link: https://doi.org/10.1016/..

5

Capturing trade-offs between daily scheduling choices:

Pougala, Janody ; Hillel, Tim ; Bierlaire, Michel
Journal of Choice Modelling. 43 (2022) - p. 100354 , 2022

Link: https://doi.org/10.1016/..

6

Estimating flexibility preferences to resolve temporal sche..:

Manser, Patrick ; Haering, Tom ; Hillel, Tim...
Transportation. 51 (2022) 2 - p. 501-528 , 2022

Link: https://doi.org/10.1007/..

7

Assisted specification of discrete choice models:

Ortelli, Nicola ; Hillel, Tim ; Pereira, Francisco C...
Journal of Choice Modelling. 39 (2021) - p. 100285 , 2021

Link: https://doi.org/10.1016/..

8

Estimation of discrete choice models with hybrid stochastic..:

Lederrey, Gael ; Lurkin, Virginie ; Hillel, Tim.
Journal of Choice Modelling. 38 (2021) - p. 100226 , 2021

Link: https://doi.org/10.1016/..

9

A systematic review of machine learning classification meth..:

Hillel, Tim ; Bierlaire, Michel ; Elshafie, Mohammed Z.E.B..
Journal of Choice Modelling. 38 (2021) - p. 100221 , 2021

Link: https://doi.org/10.1016/..

10

RUMBoost: Gradient Boosted Random Utility Models:

Salvadé, Nicolas ; Hillel, Tim
http://arxiv.org/abs/2401.11954. , 2024

Link: http://arxiv.org/abs/240..

11

OASIS: Optimisation-based Activity Scheduling with Integrat..:

Pougala, Janody ; Hillel, Tim ; Bierlaire, Michel
https://discovery.ucl.ac.uk/id/eprint/10176178/1/PougHillBier22%20%281%29.pdf. , 2023

Link: https://discovery.ucl.ac..

12

Modelling the impact of activity duration on utility-based ..:

Pougala, Janody ; Hillel, Tim ; Bierlaire, Michel
https://discovery.ucl.ac.uk/id/eprint/10179066/1/hEART_2023_paper_7441.pdf. , 2023

Link: https://discovery.ucl.ac..

13

A prediction and behavioural analysis of machine learning m..:

Hillel, Tim ; Martín Baos, José Ángel ; López Gómez, Julio alberto..
Transportation Research Part C: Emerging Technologies. 2023, 156, 104318-104318. , 2023

Link: http://hdl.handle.net/10..

14

Empowering revealed preference survey with a supplementary ..:

Tabasi, Maliheh ; Raei, Alireza ; Hillel, Tim..
https://orbit.dtu.dk/en/publications/35c9715b-5a0a-4925-94f7-2b513cf0cc14. , 2023

Link: https://orbit.dtu.dk/en/..

15

From one-day to multiday activity scheduling: Extending the..:

Pougala, Janody ; Hillel, Tim ; Bierlaire, Michel
https://discovery.ucl.ac.uk/id/eprint/10174111/1/Pougala_EtAl.pdf. , 2023

Link: https://discovery.ucl.ac..