Model card
AE-FCN.
Researchopen-sourceAutoencoder + Fully Connected Network
85% accuracy combining fMRI and sMRI on ABIDE (Rakic et al., 2020).
§ 01 · Benchmarks
Every benchmark AE-FCN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | accuracy | 85.0% | #4 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Related models
Other Research models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
research-paper
1
result
0 of 1 rows marked verified.