Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies.
Alberto BarbadoÓscar CorchoPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- fuel consumption
- machine learning models
- tuning parameters
- spam filtering
- optimization model
- machine learning approaches
- machine learning algorithms
- travel time
- anomaly detection
- traffic light
- learning models
- predictive model
- traffic conditions
- machine learning
- learning problems
- traffic management
- optimization process
- classification rules
- genetic programming
- text classification