Model card
SSAE + Softmax (Explainable ASD).
AcademicclassificationStacked Sparse Autoencoder + Softmax1 current SOTA
Stacked Sparse Autoencoder with softmax classifier trained on fMRI functional connectivity. Head movement filtering (FD > 0.2mm) critical for performance. Published in eClinicalMedicine 2025.
§ 01 · Benchmarks
Every benchmark SSAE + Softmax (Explainable ASD) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | accuracy | 98.2% | #1 | 2025-09-01 | 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.
§ 02 · Strengths by area
Where SSAE + Softmax (Explainable ASD) actually performs.
§ 03 · Papers
1 paper with results for SSAE + Softmax (Explainable ASD).
§ 04 · Related models
Other Academic models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
paper
1
result
1 of 1 rows marked verified.