HyperAIHyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Time Series Classification On Uwave

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
SNLST0.938Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections-
GP-GRU0.763Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
FCN-SNLST0.969Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections-
GP-LSTM0.870Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
MALSTM-FCN0.98Multivariate LSTM-FCNs for Time Series Classification-
GP-KConv1D0.947Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-Sig0.964Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-Sig-GRU0.968Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
TSEM0.831TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series-
GP-Sig-LSTM0.970Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
0 of 10 row(s) selected.