Benjamin Quost

Dissecting uncertainty-based fusion techniques for maritime anomaly detection

Extended Dempster-Shafer Theory in Context Reasoning for Ubiquitous Computing Environments

Context Aware Computing for The Internet of Things: A Survey

The impact of diversity on the accuracy of evidential classifier ensembles

Ensemble learning: A survey

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Classifier fusion in the Dempster–Shafer framework using optimized t-norm based combination rules

Refined modeling of sensor reliability in the belief function framework using contextual discounting