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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 697 papers

Title	Date	Tasks	Status	Hype
CAFO: Feature-Centric Explanation on Time Series Classification	Jun 3, 2024	ClassificationFeature Importance	CodeCode Available	1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels	Sep 25, 2023	Anomaly DetectionComputational Efficiency	CodeCode Available	1
Adversarial Attacks on Time Series	Feb 27, 2019	ClassificationDynamic Time Warping	CodeCode Available	1
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	Sep 29, 2020	Anomaly DetectionTime Series	CodeCode Available	1
Leveraging Class Hierarchies with Metric-Guided Prototype Learning	Jul 6, 2020	General ClassificationSemantic Segmentation	CodeCode Available	1
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification	Mar 7, 2025	Action RecognitionEEG	CodeCode Available	1
Causal and Local Correlations Based Network for Multivariate Time Series Classification	Nov 27, 2024	Graph Neural NetworkTime Series	CodeCode Available	1
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models	May 24, 2024	counterfactualTime Series	CodeCode Available	1
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification	Jan 31, 2021	DiversityGeneral Classification	CodeCode Available	1
Open challenges for Machine Learning based Early Decision-Making research	Apr 27, 2022	BIG-bench Machine LearningDecision Making	CodeCode Available	1
Chaos as an interpretable benchmark for forecasting and data-driven modelling	Oct 11, 2021	BenchmarkingSymbolic Regression	CodeCode Available	1
Parallelizing non-linear sequential models over the sequence length	Sep 21, 2023	GPUTime Series	CodeCode Available	1
Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification	May 13, 2021	Classificationfeature selection	CodeCode Available	1
A Generalised Signature Method for Multivariate Time Series Feature Extraction	Jun 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Positional Encoding in Transformer-Based Time Series Models: A Survey	Feb 17, 2025	Anomaly DetectionBenchmarking	CodeCode Available	1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification	Dec 9, 2020	Anomaly DetectionAtrial Fibrillation Detection	CodeCode Available	1
Proprioception Is All You Need: Terrain Classification for Boreal Forests	Mar 25, 2024	AllAutonomous Navigation	CodeCode Available	1
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels	Jul 12, 2022	Action DetectionActivity Detection	CodeCode Available	1
Differentiable Divergences Between Time Series	Oct 16, 2020	Dynamic Time WarpingTime Series	CodeCode Available	1
Appliance Detection Using Very Low-Frequency Smart Meter Time Series	May 10, 2023	Meter ReadingTime Series	CodeCode Available	1
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks	May 9, 2025	Irregular Time SeriesMissing Values	CodeCode Available	1
InceptionTime: Finding AlexNet for Time Series Classification	Sep 11, 2019	Deep LearningGeneral Classification	CodeCode Available	1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey	Feb 6, 2023	Activity RecognitionClassification	CodeCode Available	1
Deep Semi-Supervised Learning for Time Series Classification	Feb 6, 2021	ClassificationData Augmentation	CodeCode Available	1

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All datasets PhysioNet Challenge 2012 pendigits ArabicDigits JapaneseVowels Libras UWave Wafer AUSLAN CharacterTrajectories CMUsubject16 DigitShapes ECG

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GRU-D	AUC	86.99	—	Unverified
2	IP-NETS	AUC	86.42	—	Unverified
3	Transformer	AUC	86.28	—	Unverified
4	IP-Nets	AUC	86.24	—	Unverified
5	mTAND-Full	AUC	85.8	—	Unverified
6	mTAND-Enc	AUC	85.4	—	Unverified
7	SeFT-Attn	AUC	85.14	—	Unverified
8	GRU-D	AUC	84.24	—	Unverified
9	STraTS	AUC	83.9	—	Unverified
10	ODE-RNN	AUC	83.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Disjoint-CNN	Accuracy	0.99	—	Unverified
2	ConvTran	Accuracy	0.99	—	Unverified
3	MALSTM-FCN	Accuracy	0.97	—	Unverified
4	GP-Sig	Accuracy	0.96	—	Unverified
5	SNLST	Accuracy	0.95	—	Unverified
6	GP-LSTM	Accuracy	0.95	—	Unverified
7	FCN-SNLST	Accuracy	0.95	—	Unverified
8	GP-GRU	Accuracy	0.95	—	Unverified
9	GP-KConv1D	Accuracy	0.95	—	Unverified
10	GP-Sig-LSTM	Accuracy	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvTran	Accuracy	0.99	—	Unverified
2	GP-Sig-GRU	Accuracy	0.99	—	Unverified
3	FCN-SNLST	Accuracy	0.99	—	Unverified
4	GP-Sig-LSTM	Accuracy	0.99	—	Unverified
5	MALSTM-FCN	Accuracy	0.99	—	Unverified
6	GP-GRU	Accuracy	0.99	—	Unverified
7	GP-LSTM	Accuracy	0.99	—	Unverified
8	GP-KConv1D	Accuracy	0.98	—	Unverified
9	GP-Sig	Accuracy	0.98	—	Unverified
10	SNLST	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	0.99	—	Unverified
2	ConvTran	Accuracy	0.99	—	Unverified
3	GP-KConv1D	Accuracy	0.99	—	Unverified
4	GP-GRU	Accuracy	0.99	—	Unverified
5	GP-Sig-GRU	Accuracy	0.99	—	Unverified
6	GP-Sig	Accuracy	0.98	—	Unverified
7	GP-LSTM	Accuracy	0.98	—	Unverified
8	GP-Sig-LSTM	Accuracy	0.98	—	Unverified
9	FCN-SNLST	Accuracy	0.98	—	Unverified
10	SNLST	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	0.97	—	Unverified
2	FCN-SNLST	Accuracy	0.96	—	Unverified
3	GP-Sig	Accuracy	0.92	—	Unverified
4	GP-Sig-LSTM	Accuracy	0.92	—	Unverified
5	GP-Sig-GRU	Accuracy	0.9	—	Unverified
6	GP-LSTM	Accuracy	0.78	—	Unverified
7	SNLST	Accuracy	0.77	—	Unverified
8	GP-GRU	Accuracy	0.74	—	Unverified
9	GP-KConv1D	Accuracy	0.7	—	Unverified
10	TSEM	Accuracy	0.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	0.98	—	Unverified
2	GP-Sig-LSTM	Accuracy	0.97	—	Unverified
3	FCN-SNLST	Accuracy	0.97	—	Unverified
4	GP-Sig-GRU	Accuracy	0.97	—	Unverified
5	GP-Sig	Accuracy	0.96	—	Unverified
6	GP-KConv1D	Accuracy	0.95	—	Unverified
7	SNLST	Accuracy	0.94	—	Unverified
8	GP-LSTM	Accuracy	0.87	—	Unverified
9	TSEM	Accuracy	0.83	—	Unverified
10	GP-GRU	Accuracy	0.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	R_DST_Ensemble	Accuracy	1	—	Unverified
2	GP-GRU	Accuracy	0.99	—	Unverified
3	MALSTM-FCN	Accuracy	0.99	—	Unverified
4	FCN-SNLST	Accuracy	0.99	—	Unverified
5	GP-Sig-LSTM	Accuracy	0.99	—	Unverified
6	GP-KConv1D	Accuracy	0.98	—	Unverified
7	SNLST	Accuracy	0.98	—	Unverified
8	GP-Sig-GRU	Accuracy	0.98	—	Unverified
9	GP-LSTM	Accuracy	0.97	—	Unverified
10	GP-Sig	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN-SNLST	Accuracy	0.99	—	Unverified
2	GP-Sig-LSTM	Accuracy	0.98	—	Unverified
3	GP-Sig-GRU	Accuracy	0.98	—	Unverified
4	SNLST	Accuracy	0.97	—	Unverified
5	MALSTM-FCN	Accuracy	0.96	—	Unverified
6	GP-GRU	Accuracy	0.95	—	Unverified
7	GP-Sig	Accuracy	0.93	—	Unverified
8	GP-LSTM	Accuracy	0.88	—	Unverified
9	GP-KConv1D	Accuracy	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	1	—	Unverified
2	FCN-SNLST	Accuracy	0.99	—	Unverified
3	GP-Sig-LSTM	Accuracy	0.99	—	Unverified
4	GP-Sig	Accuracy	0.98	—	Unverified
5	SNLST	Accuracy	0.96	—	Unverified
6	GP-KConv1D	Accuracy	0.94	—	Unverified
7	GP-Sig-GRU	Accuracy	0.93	—	Unverified
8	GP-LSTM	Accuracy	0.23	—	Unverified
9	GP-GRU	Accuracy	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GP-Sig-GRU	Accuracy	1	—	Unverified
2	FCN-SNLST	Accuracy	1	—	Unverified
3	SNLST	Accuracy	1	—	Unverified
4	MALSTM-FCN	Accuracy	1	—	Unverified
5	GP-Sig-LSTM	Accuracy	1	—	Unverified
6	GP-GRU	Accuracy	0.99	—	Unverified
7	GP-Sig	Accuracy	0.98	—	Unverified
8	GP-LSTM	Accuracy	0.92	—	Unverified
9	GP-KConv1D	Accuracy	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SNLST	Accuracy	1	—	Unverified
2	MALSTM-FCN	Accuracy	1	—	Unverified
3	GP-KConv1D	Accuracy	1	—	Unverified
4	GP-Sig	Accuracy	1	—	Unverified
5	GP-Sig-GRU	Accuracy	1	—	Unverified
6	FCN-SNLST	Accuracy	1	—	Unverified
7	GP-Sig-LSTM	Accuracy	1	—	Unverified
8	GP-LSTM	Accuracy	1	—	Unverified
9	GP-GRU	Accuracy	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	0.86	—	Unverified
2	FCN-SNLST	Accuracy	0.86	—	Unverified
3	GP-Sig	Accuracy	0.85	—	Unverified
4	SNLST	Accuracy	0.84	—	Unverified
5	GP-Sig-GRU	Accuracy	0.83	—	Unverified
6	GP-Sig-LSTM	Accuracy	0.82	—	Unverified
7	GP-LSTM	Accuracy	0.78	—	Unverified
8	GP-KConv1D	Accuracy	0.76	—	Unverified
9	GP-GRU	Accuracy	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN-SNLST	Accuracy	1	—	Unverified
2	SNLST	Accuracy	1	—	Unverified
3	MALSTM-FCN	Accuracy	1	—	Unverified
4	GP-Sig	Accuracy	0.9	—	Unverified
5	GP-Sig-LSTM	Accuracy	0.9	—	Unverified
6	GP-Sig-GRU	Accuracy	0.82	—	Unverified
7	GP-KConv1D	Accuracy	0.7	—	Unverified
8	GP-LSTM	Accuracy	0.62	—	Unverified
9	GP-GRU	Accuracy	0.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN-SNLST	Accuracy	0.96	—	Unverified
2	MALSTM-FCN	Accuracy	0.95	—	Unverified
3	GP-KConv1D	Accuracy	0.95	—	Unverified
4	GP-Sig	Accuracy	0.94	—	Unverified
5	GP-Sig-LSTM	Accuracy	0.93	—	Unverified
6	GP-LSTM	Accuracy	0.93	—	Unverified
7	GP-GRU	Accuracy	0.93	—	Unverified
8	GP-Sig-GRU	Accuracy	0.92	—	Unverified
9	SNLST	Accuracy	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MALSTM-FCN	Accuracy	1	—	Unverified
2	GP-LSTM	Accuracy	1	—	Unverified
3	GP-Sig-LSTM	Accuracy	1	—	Unverified
4	GP-KConv1D	Accuracy	1	—	Unverified
5	GP-Sig-GRU	Accuracy	1	—	Unverified
6	GP-Sig	Accuracy	1	—	Unverified
7	SNLST	Accuracy	1	—	Unverified
8	FCN-SNLST	Accuracy	1	—	Unverified
9	GP-GRU	Accuracy	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GP-KConv1D	Accuracy	1	—	Unverified
2	GP-Sig	Accuracy	1	—	Unverified
3	GP-GRU	Accuracy	1	—	Unverified
4	GP-Sig-LSTM	Accuracy	1	—	Unverified
5	GP-Sig-GRU	Accuracy	1	—	Unverified
6	GP-LSTM	Accuracy	1	—	Unverified
7	MALSTM-FCN	Accuracy	1	—	Unverified
8	FCN-SNLST	Accuracy	1	—	Unverified
9	SNLST	Accuracy	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LEM	% Test Accuracy	92.3	—	Unverified
2	UnICORNN	% Test Accuracy	90.3	—	Unverified
3	coRNN	% Test Accuracy	86.7	—	Unverified
4	NRDE	% Test Accuracy	83.8	—	Unverified
5	GRU	% Test Accuracy	82.1	—	Unverified
6	IndRNN	% Test Accuracy	49.7	—	Unverified
7	TSEM	% Test Accuracy	42	—	Unverified
8	expRNN	% Test Accuracy	40	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN-SNLST	Accuracy	0.86	—	Unverified
2	GP-Sig	Accuracy	0.82	—	Unverified
3	GP-KConv1D	Accuracy	0.79	—	Unverified
4	GP-Sig-GRU	Accuracy	0.78	—	Unverified
5	GP-GRU	Accuracy	0.77	—	Unverified
6	GP-Sig-LSTM	Accuracy	0.76	—	Unverified
7	SNLST	Accuracy	0.75	—	Unverified
8	GP-LSTM	Accuracy	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvTran	Accuracy	0.67	—	Unverified
2	Disjoint-CNN	Accuracy	0.57	—	Unverified
3	TSEM	Accuracy	0.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvTran	Accuracy	0.79	—	Unverified
2	Disjoint-CNN	Accuracy	0.76	—	Unverified
3	TSEM	Accuracy	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	Accuracy (5-fold)	93.96	—	Unverified
2	Mamba	Accuracy (5-fold)	93.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	V2Sa	Accuracy (Test)	78.42	—	Unverified
2	R_DST_Ensemble	Accuracy(30-fold)	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	V2Sa	Acc. (test)	100	—	Unverified
2	1D Convolution Neural Network	F1 score	97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvTran	Accuracy	0.71	—	Unverified