HyperAI초신경

Time Series Classification On Uwave

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
MALSTM-FCN	0.98	Multivariate LSTM-FCNs for Time Series Classification
GP-Sig-LSTM	0.970	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
FCN-SNLST	0.969	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-Sig-GRU	0.968	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig	0.964	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-KConv1D	0.947	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
SNLST	0.938	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-LSTM	0.870	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
TSEM	0.831	TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
GP-GRU	0.763	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

0 of 10 row(s) selected.

Time Series Classification On Uwave | SOTA | HyperAI초신경