.png){kind=icon}
.png){kind=icon}
Return
Majority-consensus and harmony-guided evidential multimodal classification
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2026.134505.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• EMMC: an evidential multimodal classifier for uncertainty-aware decision-making. • mcf rule robustly fuses conflicting modalities via majority consensus fusion. • Degree of Harmony (dh) quantifies inter-modality agreement as a training regularizer.
Journal
IF:
6.5
Papers:
2.5W
Citations:
6.5W