Name
Abstract | ||
|---|---|---|
Recently, questions are emerging such as "how much" can one trust an Artificial Intelligence (AI) solution, how can the user interpret its outcomes, or how can the system explain the results provided? In the context of information fusion, the specific aspects of uncertainty representation and reasoning should be questioned the same way, as important components of the inference engine. This paper p... |
Year | Venue | Keywords |
|---|---|---|
2021 | 2021 IEEE 24th International Conference on Information Fusion (FUSION) | Uncertainty,Decision making,Games,Ontologies,Benchmark testing,Security,Reliability |
DocType | ISBN | Citations |
Conference | 978-1-7377497-1-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A-L. Jousselme | 1 | 0 | 0.34 |
| P. C. G. Costa | 2 | 0 | 0.34 |
| E. Blasch | 3 | 0 | 0.34 |
| C. Laudy | 4 | 0 | 0.68 |