Tipo di tesi
Tesi di laurea magistrale
Titolo
Multivariate Shapelets: a Random Approach for Car Crash Prediction
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Parole chiave
- explainability
- multivariate time series
- shap
- shapelets
- time series
- xai
Data inizio appello
01/12/2023
Consultabilità
Non consultabile
Data di rilascio
01/12/2063
Riassunto (Italiano)
After analyzing a neural network used for detecting car accidents, more efficient and interpretable alternatives are proposed. Subsequently, an innovative method based on Multivariate Shapelets is introduced, which can achieve better results than the original neural network efficiently and can be easily interpreted by a third-party operator. Finally, this new method is tested on other datasets to evaluate its performance.
