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 251–300 of 697 papers

Title	Date	Tasks	Status	Score
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation	Mar 31, 2023	ClassificationEEG	CodeCode Available	5
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	Jun 10, 2017	Anomaly Detectionparameter estimation	CodeCode Available	5
Neuronal architecture extracts statistical temporal patterns	Jan 24, 2023	Time SeriesTime Series Analysis	CodeCode Available	5
On the Soundness of XAI in Prognostics and Health Management (PHM)	Apr 24, 2023	Explainable Artificial Intelligence (XAI)Management	CodeCode Available	5
Multivariate Time Series Classification using Dilated Convolutional Neural Network	May 5, 2019	Activity RecognitionClassification	CodeCode Available	5
Deep Neural Network Ensembles for Time Series Classification	Mar 15, 2019	AttributeClassification	CodeCode Available	5
Multivariate Time Series Classification with WEASEL+MUSE	Nov 30, 2017	Classificationfeature selection	CodeCode Available	5
Robust Explainer Recommendation for Time Series Classification	Jun 8, 2023	Activity RecognitionClassification	CodeCode Available	5
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI	Jul 11, 2023	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available	5
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data	Feb 20, 2024	Dimensionality ReductionMissing Values	CodeCode Available	5
Spikebench: An open benchmark for spike train time-series classification	Oct 9, 2018	Feature EngineeringTime Series	CodeCode Available	5
Deep Learning Architectures for FSCV, a Comparison	Dec 5, 2022	Deep LearningTime Series	CodeCode Available	5
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices	Dec 1, 2018	General ClassificationMultiple Instance Learning	CodeCode Available	5
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification	Dec 18, 2018	ClassificationGeneral Classification	CodeCode Available	5
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis	Jun 23, 2018	Deep LearningGeneral Classification	CodeCode Available	5
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	5
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition	May 27, 2025	Action LocalizationActivity Recognition	CodeCode Available	5
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks	Aug 11, 2020	ClassificationEEG	CodeCode Available	5
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets	Oct 28, 2023	Time SeriesTime Series Classification	CodeCode Available	5
Multi-Scale Convolutional Neural Networks for Time Series Classification	Mar 22, 2016	ClassificationDynamic Time Warping	CodeCode Available	5
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series	Aug 24, 2022	AstronomyClassification	CodeCode Available	5
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response	Oct 8, 2020	Deep LearningPrognosis	CodeCode Available	5
Data augmentation using synthetic data for time series classification with deep residual networks	Aug 7, 2018	Data AugmentationDynamic Time Warping	CodeCode Available	5
Multi-task Meta Label Correction for Time Series Prediction	Mar 9, 2023	Contrastive LearningData Visualization	CodeCode Available	5
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification	Jan 29, 2021	General ClassificationTime Series	CodeCode Available	5
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification	Jul 12, 2024	Activity RecognitionContrastive Learning	CodeCode Available	5
Astronomical image time series classification using CONVolutional attENTION (ConvEntion)	Apr 3, 2023	ClassificationTime Series	CodeCode Available	5
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps	Nov 4, 2024	Classificationcounterfactual	CodeCode Available	5
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification	Sep 30, 2024	Model SelectionTime Series	CodeCode Available	5
Multiscale Dubuc: A New Similarity Measure for Time Series	Nov 15, 2024	Dynamic Time WarpingObject Recognition	CodeCode Available	5
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series	Oct 17, 2024	Time SeriesTime Series Classification	CodeCode Available	5
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification	Sep 15, 2024	ClassificationTime Series	CodeCode Available	5
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping	Jun 25, 2019	Dynamic Time WarpingGeneral Classification	CodeCode Available	5
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users	Oct 20, 2019	Gesture RecognitionTime Series Analysis	CodeCode Available	5
Learning filter widths of spectral decompositions with wavelets	Dec 1, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Generative Semi-supervised Learning for Multivariate Time Series Imputation	May 18, 2021	Generative Adversarial NetworkImputation	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
Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification	Jan 16, 2025	Time SeriesTime Series Classification	CodeCode Available	5
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification	Mar 23, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
Out-of-Distribution Representation Learning for Time Series Classification	Sep 15, 2022	Activity RecognitionClassification	CodeCode Available	5
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning	May 25, 2023	Activity RecognitionContrastive Learning	CodeCode Available	5
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification	Jun 16, 2023	BenchmarkingOrdinal Classification	CodeCode Available	5
GENDIS: GENetic DIscovery of Shapelets	Sep 13, 2019	Outlier DetectionTime Series	CodeCode Available	5
Continuous Time Evidential Distributions for Irregular Time Series	Jul 25, 2023	Irregular Time SeriesTime Series	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
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis	Aug 14, 2024	Adversarial RobustnessKolmogorov-Arnold Networks	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
Interpolation-Prediction Networks for Irregularly Sampled Time Series	Sep 13, 2019	Deep LearningLength-of-Stay prediction	CodeCode Available	5
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes	Dec 1, 2020	Activity RecognitionGeneral Classification	CodeCode Available	5

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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