Stephane Hess

According to our database, Stephane Hess authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour.

Georges Sfeir, Stephane Hess, Thomas O. Hancock, Filipe Rodrigues, Jamal Amani Rad, Michiel C. J. Bliemer, Matthew Beck, Fayyaz Khan

CoRR, December, 2025

Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities.

Georges Sfeir, Gabriel Nova, Stephane Hess, Sander van Cranenburgh

CoRR, July, 2025

Improving choice model specification using reinforcement learning.

Gabriel Nova, Sander van Cranenburgh, Stephane Hess

CoRR, June, 2025

2024

Understanding the decision-making process of choice modellers.

Gabriel Nova, Sander van Cranenburgh, Stephane Hess

CoRR, 2024

Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization.

Siqi Feng, Rui Yao, Stephane Hess, Ricardo A. Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang

CoRR, 2024

2021

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark.

Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao

CoRR, 2021

2020

Uncovering life-course patterns with causal discovery and survival analysis.

Bojan Kostic, Romain Crastes dit Sourd, Stephane Hess, Joachim Scheiner, Christian Holz-Rau, Francisco C. Pereira

CoRR, 2020