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

1 February 2021

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

4 / 4 papers shown

Title
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets Jacques Wainer 13 10 0 09 Aug 2022
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability Yafei Han F. Pereira M. Ben-Akiva C. Zegras 12 42 0 03 Feb 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 242 3,681 0 28 Feb 2017