Interpretable Machine Learning for Intelligent Transportation in Bike-Sharing
Author:
Affiliation:
1. Makerere University,Department Of Computer Science,Kampala,Uganda
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150429/10151454/10151456.pdf?arnumber=10151456
Reference21 articles.
1. Trip Purpose Identification of Docked Bike-Sharing From IC Card Data Using a Continuous Hidden Markov Model
2. Simulation-Assisted Design of a Bidirectional Wireless Power Transfer With Circular Sandwich Coils for E-Bike Sharing System
3. Citi Bike Data License Agreement---Citi Bike NYC;Citi Bike NYC ride citibikenyc com/data-sharing-policy,2022
4. Interpretability of Machine Learning Models
5. An Explainable Lattice based Fertility Treatment Outcome Prediction Model for TeleFertility
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1. Exploring User Experience in Sustainable Transport with Explainable AI Methods Applied to E-Bikes;Applied Sciences;2023-10-13
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