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Time Series Classification On Uwave

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
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-
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Time Series Classification On Uwave | SOTA | HyperAI