SOTAVerified

Time Series Classification

Time Series Classification is a general task that can be useful across many subject-matter domains and applications. The overall goal is to identify a time series as coming from one of possibly many sources or predefined groups, using labeled training data. That is, in this setting we conduct supervised learning, where the different time series sources are considered known.

Source: Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks

Papers

Showing 101–150 of 697 papers

TitleStatusHype
Differentiable Divergences Between Time SeriesCode1
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series RepresentationsCode1
Adversarial Attacks on Time SeriesCode1
Highly comparative time-series analysis: The empirical structure of time series and their methodsCode1
HIVE-COTE 2.0: a new meta ensemble for time series classificationCode1
catch22: CAnonical Time-series CHaracteristicsCode1
HYDRA: Competing convolutional kernels for fast and accurate time series classificationCode1
Causal and Local Correlations Based Network for Multivariate Time Series ClassificationCode1
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion ModelsCode1
Similarity Learning based Few Shot Learning for ECG Time Series ClassificationCode1
Insights into LSTM Fully Convolutional Networks for Time Series ClassificationCode1
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
Inherently Interpretable Time Series Classification via Multiple Instance LearningCode1
S-Rocket: Selective Random Convolution Kernels for Time Series ClassificationCode1
A Generalised Signature Method for Multivariate Time Series Feature ExtractionCode1
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency DomainsCode1
Look Into the LITE in Deep Learning for Time Series ClassificationCode1
Instance-based Counterfactual Explanations for Time Series ClassificationCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vesselsCode1
Appliance Detection Using Very Low-Frequency Smart Meter Time SeriesCode1
Interpretable Time-series Classification on Few-shot SamplesCode1
Deep Semi-Supervised Learning for Time Series ClassificationCode1
Large Pre-trained time series models for cross-domain Time series analysis tasksCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
TS2Vec: Towards Universal Representation of Time SeriesCode1
Log Neural Controlled Differential Equations: The Lie Brackets Make a DifferenceCode1
The Signature Kernel is the solution of a Goursat PDECode1
Deep Attentive Time WarpingCode1
Learning Soft Sparse Shapes for Efficient Time-Series ClassificationCode1
FrAug: Frequency Domain Augmentation for Time Series ForecastingCode1
Learning Discriminative Prototypes with Dynamic Time WarpingCode1
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended VersionCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
Learning Time Series Counterfactuals via Latent Space RepresentationsCode1
Long Expressive Memory for Sequence ModelingCode1
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftCode1
Random Dilated Shapelet Transform: A New Approach for Time Series ShapeletsCode1
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series ClassificationCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
ASTRIDE: Adaptive Symbolization for Time Series DatabasesCode1
Disjoint-CNN for Multivariate Time Series ClassificationCode1
Open challenges for Machine Learning based Early Decision-Making researchCode1
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of ProgressCode1
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series ClassificationCode1
InceptionTime: Finding AlexNet for Time Series ClassificationCode1
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series ClassificationCode1
Dynamic Sparse Network for Time Series Classification: Learning What to "see''Code1
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GRU-DAUC86.99—Unverified
2IP-NETSAUC86.42—Unverified
3TransformerAUC86.28—Unverified
4IP-NetsAUC86.24—Unverified
5mTAND-FullAUC85.8—Unverified
6mTAND-EncAUC85.4—Unverified
7SeFT-AttnAUC85.14—Unverified
8GRU-DAUC84.24—Unverified
9STraTSAUC83.9—Unverified
10ODE-RNNAUC83.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Disjoint-CNNAccuracy0.99—Unverified
2ConvTranAccuracy0.99—Unverified
3MALSTM-FCNAccuracy0.97—Unverified
4GP-SigAccuracy0.96—Unverified
5SNLSTAccuracy0.95—Unverified
6GP-LSTMAccuracy0.95—Unverified
7FCN-SNLSTAccuracy0.95—Unverified
8GP-GRUAccuracy0.95—Unverified
9GP-KConv1DAccuracy0.95—Unverified
10GP-Sig-LSTMAccuracy0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.99—Unverified
2GP-Sig-GRUAccuracy0.99—Unverified
3FCN-SNLSTAccuracy0.99—Unverified
4GP-Sig-LSTMAccuracy0.99—Unverified
5MALSTM-FCNAccuracy0.99—Unverified
6GP-GRUAccuracy0.99—Unverified
7GP-LSTMAccuracy0.99—Unverified
8GP-KConv1DAccuracy0.98—Unverified
9GP-SigAccuracy0.98—Unverified
10SNLSTAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.99—Unverified
2ConvTranAccuracy0.99—Unverified
3GP-KConv1DAccuracy0.99—Unverified
4GP-GRUAccuracy0.99—Unverified
5GP-Sig-GRUAccuracy0.99—Unverified
6GP-SigAccuracy0.98—Unverified
7GP-LSTMAccuracy0.98—Unverified
8GP-Sig-LSTMAccuracy0.98—Unverified
9FCN-SNLSTAccuracy0.98—Unverified
10SNLSTAccuracy0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.97—Unverified
2FCN-SNLSTAccuracy0.96—Unverified
3GP-SigAccuracy0.92—Unverified
4GP-Sig-LSTMAccuracy0.92—Unverified
5GP-Sig-GRUAccuracy0.9—Unverified
6GP-LSTMAccuracy0.78—Unverified
7SNLSTAccuracy0.77—Unverified
8GP-GRUAccuracy0.74—Unverified
9GP-KConv1DAccuracy0.7—Unverified
10TSEMAccuracy0.37—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.98—Unverified
2GP-Sig-LSTMAccuracy0.97—Unverified
3FCN-SNLSTAccuracy0.97—Unverified
4GP-Sig-GRUAccuracy0.97—Unverified
5GP-SigAccuracy0.96—Unverified
6GP-KConv1DAccuracy0.95—Unverified
7SNLSTAccuracy0.94—Unverified
8GP-LSTMAccuracy0.87—Unverified
9TSEMAccuracy0.83—Unverified
10GP-GRUAccuracy0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1R_DST_EnsembleAccuracy1—Unverified
2GP-GRUAccuracy0.99—Unverified
3MALSTM-FCNAccuracy0.99—Unverified
4FCN-SNLSTAccuracy0.99—Unverified
5GP-Sig-LSTMAccuracy0.99—Unverified
6GP-KConv1DAccuracy0.98—Unverified
7SNLSTAccuracy0.98—Unverified
8GP-Sig-GRUAccuracy0.98—Unverified
9GP-LSTMAccuracy0.97—Unverified
10GP-SigAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.99—Unverified
2GP-Sig-LSTMAccuracy0.98—Unverified
3GP-Sig-GRUAccuracy0.98—Unverified
4SNLSTAccuracy0.97—Unverified
5MALSTM-FCNAccuracy0.96—Unverified
6GP-GRUAccuracy0.95—Unverified
7GP-SigAccuracy0.93—Unverified
8GP-LSTMAccuracy0.88—Unverified
9GP-KConv1DAccuracy0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy1—Unverified
2FCN-SNLSTAccuracy0.99—Unverified
3GP-Sig-LSTMAccuracy0.99—Unverified
4GP-SigAccuracy0.98—Unverified
5SNLSTAccuracy0.96—Unverified
6GP-KConv1DAccuracy0.94—Unverified
7GP-Sig-GRUAccuracy0.93—Unverified
8GP-LSTMAccuracy0.23—Unverified
9GP-GRUAccuracy0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-Sig-GRUAccuracy1—Unverified
2FCN-SNLSTAccuracy1—Unverified
3SNLSTAccuracy1—Unverified
4MALSTM-FCNAccuracy1—Unverified
5GP-Sig-LSTMAccuracy1—Unverified
6GP-GRUAccuracy0.99—Unverified
7GP-SigAccuracy0.98—Unverified
8GP-LSTMAccuracy0.92—Unverified
9GP-KConv1DAccuracy0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SNLSTAccuracy1—Unverified
2MALSTM-FCNAccuracy1—Unverified
3GP-KConv1DAccuracy1—Unverified
4GP-SigAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6FCN-SNLSTAccuracy1—Unverified
7GP-Sig-LSTMAccuracy1—Unverified
8GP-LSTMAccuracy1—Unverified
9GP-GRUAccuracy0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.86—Unverified
2FCN-SNLSTAccuracy0.86—Unverified
3GP-SigAccuracy0.85—Unverified
4SNLSTAccuracy0.84—Unverified
5GP-Sig-GRUAccuracy0.83—Unverified
6GP-Sig-LSTMAccuracy0.82—Unverified
7GP-LSTMAccuracy0.78—Unverified
8GP-KConv1DAccuracy0.76—Unverified
9GP-GRUAccuracy0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy1—Unverified
2SNLSTAccuracy1—Unverified
3MALSTM-FCNAccuracy1—Unverified
4GP-SigAccuracy0.9—Unverified
5GP-Sig-LSTMAccuracy0.9—Unverified
6GP-Sig-GRUAccuracy0.82—Unverified
7GP-KConv1DAccuracy0.7—Unverified
8GP-LSTMAccuracy0.62—Unverified
9GP-GRUAccuracy0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.96—Unverified
2MALSTM-FCNAccuracy0.95—Unverified
3GP-KConv1DAccuracy0.95—Unverified
4GP-SigAccuracy0.94—Unverified
5GP-Sig-LSTMAccuracy0.93—Unverified
6GP-LSTMAccuracy0.93—Unverified
7GP-GRUAccuracy0.93—Unverified
8GP-Sig-GRUAccuracy0.92—Unverified
9SNLSTAccuracy0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy1—Unverified
2GP-LSTMAccuracy1—Unverified
3GP-Sig-LSTMAccuracy1—Unverified
4GP-KConv1DAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6GP-SigAccuracy1—Unverified
7SNLSTAccuracy1—Unverified
8FCN-SNLSTAccuracy1—Unverified
9GP-GRUAccuracy0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-KConv1DAccuracy1—Unverified
2GP-SigAccuracy1—Unverified
3GP-GRUAccuracy1—Unverified
4GP-Sig-LSTMAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6GP-LSTMAccuracy1—Unverified
7MALSTM-FCNAccuracy1—Unverified
8FCN-SNLSTAccuracy1—Unverified
9SNLSTAccuracy1—Unverified
#ModelMetricClaimedVerifiedStatus
1LEM% Test Accuracy92.3—Unverified
2UnICORNN% Test Accuracy90.3—Unverified
3coRNN% Test Accuracy86.7—Unverified
4NRDE% Test Accuracy83.8—Unverified
5GRU% Test Accuracy82.1—Unverified
6IndRNN% Test Accuracy49.7—Unverified
7TSEM% Test Accuracy42—Unverified
8expRNN% Test Accuracy40—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.86—Unverified
2GP-SigAccuracy0.82—Unverified
3GP-KConv1DAccuracy0.79—Unverified
4GP-Sig-GRUAccuracy0.78—Unverified
5GP-GRUAccuracy0.77—Unverified
6GP-Sig-LSTMAccuracy0.76—Unverified
7SNLSTAccuracy0.75—Unverified
8GP-LSTMAccuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.67—Unverified
2Disjoint-CNNAccuracy0.57—Unverified
3TSEMAccuracy0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.79—Unverified
2Disjoint-CNNAccuracy0.76—Unverified
3TSEMAccuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CNNAccuracy (5-fold)93.96—Unverified
2MambaAccuracy (5-fold)93.68—Unverified
#ModelMetricClaimedVerifiedStatus
1V2SaAccuracy (Test)78.42—Unverified
2R_DST_EnsembleAccuracy(30-fold)0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1V2SaAcc. (test)100—Unverified
21D Convolution Neural NetworkF1 score97—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.71—Unverified