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 151–200 of 697 papers

Title	Date	Tasks	Status	Hype	Score
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study	May 16, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	1	5
Deep Attentive Time Warping	Sep 13, 2023	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
Simulation platform for pattern recognition based on reservoir computing with memristor networks	Dec 1, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Smart Data Collection System for Brownfield CNC Milling Machines: A New Benchmark Dataset for Data-Driven Machine Monitoring	Jun 29, 2022	BIG-bench Machine LearningPhilosophy	CodeCode Available	1	5
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification	May 29, 2025	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
FrAug: Frequency Domain Augmentation for Time Series Forecasting	Feb 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5
A Transformer-based Framework for Multivariate Time Series Representation Learning	Oct 6, 2020	Computational EfficiencyGeneral Classification	CodeCode Available	1	5
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification	Nov 24, 2023	Time SeriesTime Series Classification	CodeCode Available	1	5
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series	Apr 12, 2023	Dynamic Time WarpingTime Series	CodeCode Available	1	5
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations	May 30, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available	1	5
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series	Dec 7, 2023	Inductive BiasRepresentation Learning	CodeCode Available	1	5
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey	Feb 6, 2023	Activity RecognitionClassification	CodeCode Available	1	5
Vector-ICL: In-context Learning with Continuous Vector Representations	Oct 8, 2024	ClassificationGraph Classification	CodeCode Available	1	5
HIVE-COTE 2.0: a new meta ensemble for time series classification	Apr 15, 2021	General ClassificationTime Series	CodeCode Available	1	5
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
Deep Semi-Supervised Learning for Time Series Classification	Feb 6, 2021	ClassificationData Augmentation	CodeCode Available	1	5
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting	Sep 4, 2021	Irregular Time SeriesRepresentation Learning	CodeCode Available	1	5
HYDRA: Competing convolutional kernels for fast and accurate time series classification	Mar 25, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
Class-Specific Explainability for Deep Time Series Classifiers	Oct 11, 2022	Time SeriesTime Series Analysis	CodeCode Available	0	5
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition	Dec 18, 2019	Domain AdaptationGesture Recognition	CodeCode Available	0	5
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time	Aug 9, 2024	Time Series Classification	CodeCode Available	0	5
On the importance of structural identifiability for machine learning with partially observed dynamical systems	Feb 6, 2025	Time SeriesTime Series Classification	CodeCode Available	0	5
Neuronal architecture extracts statistical temporal patterns	Jan 24, 2023	Time SeriesTime Series Analysis	CodeCode Available	0	5
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks	Mar 4, 2020	General ClassificationTime Series	CodeCode Available	0	5
Classification of Time-Series Images Using Deep Convolutional Neural Networks	Oct 2, 2017	ClassificationGeneral Classification	CodeCode Available	0	5
Classification of multivariate weakly-labelled time-series with attention	Feb 16, 2021	ClassificationEEG	CodeCode Available	0	5
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data	May 17, 2023	SchedulingTime Series Classification	CodeCode Available	0	5
On the Feasibility of Vision-Language Models for Time-Series Classification	Dec 23, 2024	Time SeriesTime Series Classification	CodeCode Available	0	5
On the Soundness of XAI in Prognostics and Health Management (PHM)	Mar 9, 2023	Explainable Artificial Intelligence (XAI)Management	CodeCode Available	0	5
Spikebench: An open benchmark for spike train time-series classification	Oct 9, 2018	Feature EngineeringTime Series	CodeCode Available	0	5
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions	Feb 24, 2025	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available	0	5
CLaP -- State Detection from Time Series	Apr 2, 2025	Time SeriesTime Series Classification	CodeCode Available	0	5
A 1d convolutional network for leaf and time series classification	Jun 28, 2019	General ClassificationTime Series	CodeCode Available	0	5
Multivariate Time Series Classification using Dilated Convolutional Neural Network	May 5, 2019	Activity RecognitionClassification	CodeCode Available	0	5
A Framework to Evaluate Early Time-Series Classification Algorithms	Mar 25, 2024	ClassificationTime Series	CodeCode Available	0	5
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data	Feb 20, 2024	Dimensionality ReductionMissing Values	CodeCode Available	0	5
Multivariate Time Series Classification with WEASEL+MUSE	Nov 30, 2017	Classificationfeature selection	CodeCode Available	0	5
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation	Mar 31, 2023	ClassificationEEG	CodeCode Available	0	5
On the Soundness of XAI in Prognostics and Health Management (PHM)	Apr 24, 2023	Explainable Artificial Intelligence (XAI)Management	CodeCode Available	0	5
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis	Jun 23, 2018	Deep LearningGeneral Classification	CodeCode Available	0	5
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring	Aug 23, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Multi-Scale Convolutional Neural Networks for Time Series Classification	Mar 22, 2016	ClassificationDynamic Time Warping	CodeCode Available	0	5
Castor: Competing shapelets for fast and accurate time series classification	Mar 19, 2024	Time SeriesTime Series Classification	CodeCode Available	0	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	0	5
Multiscale Dubuc: A New Similarity Measure for Time Series	Nov 15, 2024	Dynamic Time WarpingObject Recognition	CodeCode Available	0	5
Multi-task Meta Label Correction for Time Series Prediction	Mar 9, 2023	Contrastive LearningData Visualization	CodeCode Available	0	5
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps	Nov 4, 2024	Classificationcounterfactual	CodeCode Available	0	5
Adversarial Attacks on Deep Neural Networks for Time Series Classification	Mar 17, 2019	Activity RecognitionAdversarial Attack	CodeCode Available	0	5
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification	Jan 29, 2021	General ClassificationTime Series	CodeCode Available	0	5
Benchmarking time series classification -- Functional data vs machine learning approaches	Nov 18, 2019	Additive modelsBenchmarking	CodeCode Available	0	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