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

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Showing 601–650 of 697 papers

Title	Date	Tasks	Status
Neuronal architecture extracts statistical temporal patterns	Jan 24, 2023	Time SeriesTime Series Analysis	CodeCode Available
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	Jun 10, 2017	Anomaly Detectionparameter estimation	CodeCode Available
Time Series Domain Adaptation via Latent Invariant Causal Mechanism	Feb 23, 2025	Domain AdaptationTime Series	CodeCode Available
Deep Neural Network Ensembles for Time Series Classification	Mar 15, 2019	AttributeClassification	CodeCode Available
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks	Mar 4, 2020	General ClassificationTime Series	CodeCode Available
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	Jun 19, 2019	Gaussian ProcessesGeneral Classification	CodeCode Available
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast	Oct 14, 2024	Contrastive LearningRepresentation Learning	CodeCode Available
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions	Feb 24, 2025	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification	Dec 18, 2018	ClassificationGeneral Classification	CodeCode Available
Structure-preserving contrastive learning for spatial time series	Feb 10, 2025	Contrastive LearningRepresentation Learning	CodeCode Available
On the Feasibility of Vision-Language Models for Time-Series Classification	Dec 23, 2024	Time SeriesTime Series Classification	CodeCode Available
On the importance of structural identifiability for machine learning with partially observed dynamical systems	Feb 6, 2025	Time SeriesTime Series Classification	CodeCode Available
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition	Dec 18, 2019	Domain AdaptationGesture Recognition	CodeCode Available
IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models	Oct 20, 2024	Explanation GenerationTime Series	CodeCode Available
On the Soundness of XAI in Prognostics and Health Management (PHM)	Mar 9, 2023	Explainable Artificial Intelligence (XAI)Management	CodeCode Available
On the Soundness of XAI in Prognostics and Health Management (PHM)	Apr 24, 2023	Explainable Artificial Intelligence (XAI)Management	CodeCode Available
CLaP -- State Detection from Time Series	Apr 2, 2025	Time SeriesTime Series Classification	CodeCode Available
Castor: Competing shapelets for fast and accurate time series classification	Mar 19, 2024	Time SeriesTime Series Classification	CodeCode Available
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification	Jun 18, 2024	channel selectionTime Series	CodeCode Available
Support Vector Machines with Time Series Distance Kernels for Action Classification	Mar 7, 2016	Action ClassificationAction Recognition	CodeCode Available
Time Series Representation Learning with Supervised Contrastive Temporal Transformer	Mar 16, 2024	Change Point DetectionRepresentation Learning	CodeCode Available
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI	Jul 11, 2023	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available
Implet: A Post-hoc Subsequence Explainer for Time Series Models	May 13, 2025	Time SeriesTime Series Classification	CodeCode Available
Swarm Characteristics Classification Using Neural Networks	Mar 28, 2024	ClassificationDecision Making	CodeCode Available
Benchmarking time series classification -- Functional data vs machine learning approaches	Nov 18, 2019	Additive modelsBenchmarking	CodeCode Available
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices	Oct 31, 2019	DiagnosticGeneral Classification	CodeCode Available
Minority Oversampling for Imbalanced Time Series Classification	Apr 14, 2020	ClassificationClustering	CodeCode Available
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds	Aug 22, 2024	Audio ClassificationDiagnostic	CodeCode Available
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS	Apr 4, 2022	feature selectionTime Series	CodeCode Available
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time	Aug 9, 2024	Time Series Classification	CodeCode Available
timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers	Jul 15, 2020	Decision MakingExplainable artificial intelligence	CodeCode Available
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering	Sep 9, 2023	ClusteringGenerative Adversarial Network	CodeCode Available
TEASER: Early and Accurate Time Series Classification	Aug 9, 2019	ClassificationGeneral Classification	CodeCode Available
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation	Aug 29, 2024	Time SeriesTime Series Classification	CodeCode Available
Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection	Feb 8, 2020	Action DetectionActivity Recognition	CodeCode Available
Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis	May 5, 2019	Time SeriesTime Series Analysis	CodeCode Available
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition	May 27, 2025	Action LocalizationActivity Recognition	CodeCode Available
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping	Feb 5, 2019	Deep LearningDynamic Time Warping	CodeCode Available
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification	Jul 12, 2024	Activity RecognitionContrastive Learning	CodeCode Available
Benchmarking optimality of time series classification methods in distinguishing diffusions	Jan 30, 2023	BenchmarkingGaussian Processes	CodeCode Available
Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification	Jan 14, 2025	BenchmarkingGraph Representation Learning	CodeCode Available
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series	Oct 17, 2024	Time SeriesTime Series Classification	CodeCode Available
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping	Jun 13, 2019	3D Action RecognitionAction Recognition	CodeCode Available
Precision and Recall for Time Series	Mar 8, 2018	Anomaly DetectionGeneral Classification	CodeCode Available
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring	Aug 23, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks	Aug 11, 2020	ClassificationEEG	CodeCode Available
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection	Feb 14, 2019	Anomaly DetectionGeneral Classification	CodeCode Available
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping	Jun 25, 2019	Dynamic Time WarpingGeneral Classification	CodeCode Available
Probabilistic Imputation for Time-series Classification with Missing Data	Aug 13, 2023	ImputationMissing Values	CodeCode Available
Probabilistic Spatial Transformer Networks	Apr 7, 2020	Data AugmentationTime Series	CodeCode Available

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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-GRU	Accuracy	0.99	—	Unverified
4	GP-KConv1D	Accuracy	0.99	—	Unverified
5	GP-Sig-GRU	Accuracy	0.99	—	Unverified
6	GP-LSTM	Accuracy	0.98	—	Unverified
7	GP-Sig	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-LSTM	Accuracy	1	—	Unverified
2	FCN-SNLST	Accuracy	1	—	Unverified
3	MALSTM-FCN	Accuracy	1	—	Unverified
4	SNLST	Accuracy	1	—	Unverified
5	GP-Sig-GRU	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	MALSTM-FCN	Accuracy	1	—	Unverified
2	GP-KConv1D	Accuracy	1	—	Unverified
3	GP-Sig-GRU	Accuracy	1	—	Unverified
4	GP-Sig	Accuracy	1	—	Unverified
5	FCN-SNLST	Accuracy	1	—	Unverified
6	SNLST	Accuracy	1	—	Unverified
7	GP-LSTM	Accuracy	1	—	Unverified
8	GP-Sig-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	GP-Sig-LSTM	Accuracy	1	—	Unverified
2	GP-Sig	Accuracy	1	—	Unverified
3	GP-Sig-GRU	Accuracy	1	—	Unverified
4	GP-KConv1D	Accuracy	1	—	Unverified
5	GP-LSTM	Accuracy	1	—	Unverified
6	MALSTM-FCN	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	SNLST	Accuracy	1	—	Unverified
2	FCN-SNLST	Accuracy	1	—	Unverified
3	MALSTM-FCN	Accuracy	1	—	Unverified
4	GP-KConv1D	Accuracy	1	—	Unverified
5	GP-Sig	Accuracy	1	—	Unverified
6	GP-LSTM	Accuracy	1	—	Unverified
7	GP-Sig-GRU	Accuracy	1	—	Unverified
8	GP-GRU	Accuracy	1	—	Unverified
9	GP-Sig-LSTM	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