Time Series Classification on JapaneseVowels

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MALSTM-FCN	0.99	No	Multivariate LSTM-FCNs for Time Series Classific...	2018-01-14	Code
2	ConvTran	0.9891	No	Improving Position Encoding of Transformers for ...	2023-05-26	Code
3	GP-GRU	0.986	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
4	GP-KConv1D	0.986	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
5	GP-Sig-GRU	0.985	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
6	GP-LSTM	0.982	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
7	GP-Sig	0.982	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
8	GP-Sig-LSTM	0.981	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
9	FCN-SNLST	0.98	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code
10	SNLST	0.979	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code

#1MALSTM-FCNSOTA
0.99
Accuracy· 2018-01-14
Multivariate LSTM-FCNs for Time Series Classification Code
#2ConvTran
0.9891
Accuracy· 2023-05-26
Improving Position Encoding of Transformers for Multivariate Time Series Classification Code
#3GP-GRU
0.986
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#4GP-KConv1D
0.986
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#5GP-Sig-GRU
0.985
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#6GP-LSTM
0.982
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#7GP-Sig
0.982
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#8GP-Sig-LSTM
0.981
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#9FCN-SNLST
0.98
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code
#10SNLST
0.979
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code