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 401–450 of 697 papers

Title	Date	Tasks	Status
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning	Feb 13, 2021	General ClassificationTime Series Analysis	—Unverified
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0	Apr 13, 2020	Time SeriesTime Series Analysis	—Unverified
On when is Reservoir Computing with Cellular Automata Beneficial?	Jun 13, 2024	Time SeriesTime Series Classification	—Unverified
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations	Dec 16, 2023	image-classificationImage Classification	—Unverified
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices	Oct 23, 2023	Time Series Classification	—Unverified
Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers	Sep 17, 2024	Privacy PreservingTime Series	—Unverified
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series	Jan 24, 2022	Missing LabelsRetrieval	—Unverified
OSTSC: Over Sampling for Time Series Classification in R	Nov 27, 2017	ClassificationGeneral Classification	—Unverified
Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification	Nov 16, 2021	feature selectionOutlier Detection	—Unverified
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography	Nov 17, 2022	Heartbeat ClassificationTime Series	—Unverified
Parameterizing the cost function of Dynamic Time Warping with application to time series classification	Jan 24, 2023	Dynamic Time WarpingTime Series	—Unverified
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification	Feb 11, 2021	ClassificationGeneral Classification	—Unverified
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task	Dec 1, 2012	ClassificationDiagnostic	—Unverified
Pattern Sampling for Shapelet-based Time Series Classification	Feb 16, 2021	ClassificationGeneral Classification	—Unverified
Phase-driven Domain Generalizable Learning for Nonstationary Time Series	Feb 5, 2024	Activity RecognitionGesture Recognition	—Unverified
Phase Space Reconstruction Network for Lane Intrusion Action Recognition	Feb 22, 2021	Action RecognitionAutonomous Driving	—Unverified
Photometric light curves classification with machine learning	Sep 10, 2019	BIG-bench Machine LearningClassification	—Unverified
Plotting time: On the usage of CNNs for time series classification	Feb 8, 2021	ClassificationGeneral Classification	—Unverified
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification	Dec 13, 2022	AutoMLNeural Architecture Search	—Unverified
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM	Aug 15, 2016	ClassificationGeneral Classification	—Unverified
Predicting Learning Status in MOOCs using LSTM	Aug 5, 2018	General ClassificationPrediction	—Unverified
Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification	Mar 1, 2024	Data AugmentationTime Series	—Unverified
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification	Jan 5, 2020	General ClassificationTime Series	—Unverified
Process Outcome Prediction: CNN vs. LSTM (with Attention)	Apr 14, 2021	General ClassificationPrediction	—Unverified
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems	May 20, 2025	Brain Computer InterfaceEEG	—Unverified
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis	Jul 25, 2024	Quantum Machine LearningTime Series	—Unverified
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions	Oct 11, 2023	Time SeriesTime Series Classification	—Unverified
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series	Sep 12, 2024	DiversityEnsemble Learning	—Unverified
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis	Feb 24, 2025	Activity Recognitioncompressed sensing	—Unverified
Rank Supervised Contrastive Learning for Time Series Classification	Jan 31, 2024	ClassificationContrastive Learning	—Unverified
RAPID: Early Classification of Explosive Transients using Deep Learning	Mar 29, 2019	ClassificationDeep Learning	—Unverified
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks	Mar 10, 2025	Adversarial AttackDeep Learning	—Unverified
Repurposing Foundation Model for Generalizable Medical Time Series Classification	Oct 3, 2024	BenchmarkingDiagnostic	—Unverified
Rethinking Attention Mechanism in Time Series Classification	Jul 14, 2022	ClassificationKnowledge Distillation	—Unverified
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain	Mar 12, 2025	Time SeriesTime Series Classification	—Unverified
Robust Augmentation for Multivariate Time Series Classification	Jan 27, 2022	ClassificationTime Series	—Unverified
RTFN: A Robust Temporal Feature Network for Time Series Classification	Nov 24, 2020	ClassificationGeneral Classification	—Unverified
Scalable Discovery of Time-Series Shapelets	Mar 11, 2015	ClusteringGeneral Classification	—Unverified
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification	Jun 11, 2020	Dynamic Time WarpingGeneral Classification	—Unverified
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization	Sep 29, 2021	Domain GeneralizationRepresentation Learning	—Unverified
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study	May 1, 2023	ClassificationRepresentation Learning	—Unverified
Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management	Dec 11, 2023	ManagementTime Series	—Unverified
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets	May 26, 2022	Dimensionality ReductionRepresentation Learning	—Unverified
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification	Oct 13, 2023	ClassificationContrastive Learning	—Unverified
Semi-Supervised Risk Control via Prediction-Powered Inference	Dec 15, 2024	Few-Shot Image Classificationimage-classification	—Unverified
Semi-supervised time series classification method for quantum computing	Jun 19, 2020	ClassificationGeneral Classification	—Unverified
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification	Feb 2, 2024	Classificationcounterfactual	—Unverified
Use Short Isometric Shapelets to Accelerate Binary Time Series Classification	Dec 27, 2019	ClassificationGeneral Classification	—Unverified
Should we Reload Time Series Classification Performance Evaluation ? (a position paper)	Mar 8, 2019	General ClassificationPosition	—Unverified
Similarity Learning for Time Series Classification	Oct 15, 2016	ClassificationDynamic Time Warping	—Unverified

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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