Non-Parametric Classification
Multimodal Fuzzy Fusion Framework
Introduced by Timonin in Choquet integral in decision analysis - lessons from the axiomatizationBCI MI signal Classification Framework using Fuzzy integrals.
Paper: Ko, L. W., Lu, Y. C., Bustince, H., Chang, Y. C., Chang, Y., Ferandez, J., ... & Lin, C. T. (2019). Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface. IEEE Computational Intelligence Magazine, 14(1), 96-106.
Source: Choquet integral in decision analysis - lessons from the axiomatizationPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Classification | 2 | 10.53% |
| Brain Computer Interface | 2 | 10.53% |
| Decision Making | 2 | 10.53% |
| Motor Imagery | 2 | 10.53% |
| Autonomous Driving | 1 | 5.26% |
| Autonomous Vehicles | 1 | 5.26% |
| Open-Ended Question Answering | 1 | 5.26% |
| Sensor Fusion | 1 | 5.26% |
| Fine-Grained Image Classification | 1 | 5.26% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
