Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Time Series Classification On Libras

Métriques

Accuracy

NLL

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	NLL	Paper Title	Repository
GP-GRU	0.742	1.110	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-Sig-LSTM	0.921	0.320	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-Sig	0.923	0.259	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-KConv1D	0.698	1.608	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
TSEM	0.372	-	TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series	-
SNLST	0.773	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	-
FCN-SNLST	0.957	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	-
GP-LSTM	0.776	0.911	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
MALSTM-FCN	0.97	-	Multivariate LSTM-FCNs for Time Series Classification	-
GP-Sig-GRU	0.899	0.346	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-

0 of 10 row(s) selected.

Time Series Classification On Libras | SOTA | HyperAI