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 301–350 of 697 papers

Title	Date	Tasks	Status	Score
Interpolation-Prediction Networks for Irregularly Sampled Time Series	Sep 13, 2019	Deep LearningLength-of-Stay prediction	CodeCode Available	5
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions	Oct 6, 2023	Time SeriesTime Series Classification	CodeCode Available	5
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	Jun 10, 2017	Anomaly Detectionparameter estimation	CodeCode Available	5
Time Series Domain Adaptation via Latent Invariant Causal Mechanism	Feb 23, 2025	Domain AdaptationTime Series	CodeCode Available	5
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series	Mar 14, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Time Series Representation Learning with Supervised Contrastive Temporal Transformer	Mar 16, 2024	Change Point DetectionRepresentation Learning	CodeCode Available	5
Robust Explainer Recommendation for Time Series Classification	Jun 8, 2023	Activity RecognitionClassification	CodeCode Available	5
timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers	Jul 15, 2020	Decision MakingExplainable artificial intelligence	CodeCode Available	5
Castor: Competing shapelets for fast and accurate time series classification	Mar 19, 2024	Time SeriesTime Series Classification	CodeCode Available	5
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis	Aug 14, 2024	Adversarial RobustnessKolmogorov-Arnold Networks	CodeCode Available	5
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings	Mar 14, 2024	Multiple-choiceTime Series	CodeCode Available	5
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification	Mar 23, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification	Mar 1, 2021	Data AugmentationDynamic Time Warping	CodeCode Available	5
Trading via Image Classification	Jul 23, 2019	ClassificationGeneral Classification	CodeCode Available	5
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis	Jul 9, 2022	Data AugmentationDynamic Time Warping	CodeCode Available	5
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification	Jun 25, 2019	AttributeCPU	CodeCode Available	5
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series	May 25, 2022	ClassificationExplainable artificial intelligence	CodeCode Available	5
Learnable Dynamic Temporal Pooling for Time Series Classification	Apr 2, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
Learnable Path in Neural Controlled Differential Equations	Jan 11, 2023	DecoderIrregular Time Series	CodeCode Available	5
Learning filter widths of spectral decompositions with wavelets	Dec 1, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression	May 2, 2023	regressionTime Series	CodeCode Available	5
Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets	Sep 13, 2024	Multi-target regressionNeural Architecture Search	CodeCode Available	5
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	Jun 19, 2019	Gaussian ProcessesGeneral Classification	CodeCode Available	5
Computer Vision Self-supervised Learning Methods on Time Series	Sep 2, 2021	Self-Supervised LearningTime Series	CodeCode Available	5
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification	Jun 14, 2016	ClassificationGeneral Classification	CodeCode Available	5
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	Jun 29, 2021	Self-Supervised LearningTime Series	CodeCode Available	5
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection	Feb 14, 2019	Anomaly DetectionGeneral Classification	CodeCode Available	5
Lightweight Defense Against Adversarial Attacks in Time Series Classification	May 4, 2025	Adversarial DefenseData Augmentation	CodeCode Available	5
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification	Nov 9, 2019	Data AugmentationGeneral Classification	CodeCode Available	5
Time Series Classification to Improve Poultry Welfare	Nov 7, 2018	ClassificationDictionary Learning	—Unverified	0
Time Series Classification Using Convolutional Neural Network On Imbalanced Datasets	Oct 10, 2021	ClassificationTime Series	—Unverified	0
Time Series Classification using the Hidden-Unit Logistic Model	Jun 16, 2015	Action RecognitionAction Unit Detection	—Unverified	0
Time Series Classification via Topological Data Analysis	Feb 3, 2021	ClassificationGeneral Classification	—Unverified	0
Time series clustering based on the characterisation of segment typologies	Oct 27, 2018	ClusteringTime Series	—Unverified	0
Time Series Data Augmentation for Deep Learning: A Survey	Feb 27, 2020	Anomaly DetectionData Augmentation	—Unverified	0
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data	Mar 30, 2022	ClassificationDynamic Time Warping	—Unverified	0
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers	Jun 10, 2025	Time SeriesTime Series Classification	—Unverified	0
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations	Oct 16, 2020	Decision MakingFeature Importance	—Unverified	0
Towards Accurate Ego-lane Identification with Early Time Series Classification	May 27, 2024	Autonomous DrivingTime Series	—Unverified	0
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile	Nov 5, 2018	ClusteringRepresentation Learning	—Unverified	0
Towards a universal neural network encoder for time series	May 10, 2018	Time SeriesTime Series Analysis	—Unverified	0
Towards Financially Inclusive Credit Products Through Financial Time Series Clustering	Feb 16, 2024	ClusteringTime Series	—Unverified	0
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children	Jul 22, 2020	Pupil DilationTime Series	—Unverified	0
Transient Classification in low SNR Gravitational Wave data using Deep Learning	Sep 20, 2020	AstronomyDeep Learning	—Unverified	0
TrojanTime: Backdoor Attacks on Time Series Classification	Feb 2, 2025	ClassificationData Poisoning	—Unverified	0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning	Oct 21, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis	Sep 29, 2021	Activity RecognitionRepresentation Learning	—Unverified	0
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification	Sep 14, 2024	counterfactualTime Series	—Unverified	0
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network	Aug 3, 2020	ClassificationGeneral Classification	—Unverified	0
Ultra-Fast Shapelets for Time Series Classification	Mar 17, 2015	ClassificationGeneral Classification	—Unverified	0

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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