GRU + SVM

Reported on 2 benchmarks across 2 tasks · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous1 result

Malware ClassificationonMalimg Dataset
Accuracy· 2017-12-31
0.8492
best: 0.985 (GA Designed Deep CNN)
SOTA
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification arXiv:1801.00318

Audio1 result

Emotion RecognitiononEC
Micro-F1
0.6993
best: 0.7765 (NELEC)