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
Open challenges for Machine Learning based Early Decision-Making research	Apr 27, 2022	BIG-bench Machine LearningDecision Making	CodeCode Available	1	5
Deep Attentive Time Warping	Sep 13, 2023	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
Feature-Based Time-Series Analysis in R using the theft Package	Aug 12, 2022	Data VisualizationTime Series	CodeCode Available	1	5
Simple Contrastive Representation Learning for Time Series Forecasting	Mar 31, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
Source Model Selection for Deep Learning in the Time Series Domain	Jan 3, 2020	Model SelectionTime Series	CodeCode Available	1	5
S-Rocket: Selective Random Convolution Kernels for Time Series Classification	Mar 7, 2022	Combinatorial Optimizationregression	CodeCode Available	1	5
A Transformer-based Framework for Multivariate Time Series Representation Learning	Oct 6, 2020	Computational EfficiencyGeneral Classification	CodeCode Available	1	5
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
Proprioception Is All You Need: Terrain Classification for Boreal Forests	Mar 25, 2024	AllAutonomous Navigation	CodeCode Available	1	5
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification	Jun 18, 2022	channel selectionTime Series	CodeCode Available	1	5
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models	Aug 7, 2024	Computational EfficiencyFeature Importance	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
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping	Nov 26, 2021	Dynamic Time WarpingTime Series	CodeCode Available	1	5
Gated Transformer Networks for Multivariate Time Series Classification	Mar 26, 2021	ClassificationGeneral Classification	CodeCode Available	1	5
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification	May 7, 2020	BIG-bench Machine LearningGeneral Classification	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
Graph-Aware Contrasting for Multivariate Time-Series Classification	Sep 11, 2023	ClassificationContrastive Learning	CodeCode Available	1	5
Class-Specific Explainability for Deep Time Series Classifiers	Oct 11, 2022	Time SeriesTime Series Analysis	CodeCode Available	0	5
Multivariate Time Series Classification using Dilated Convolutional Neural Network	May 5, 2019	Activity RecognitionClassification	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
Multivariate Time Series Classification with WEASEL+MUSE	Nov 30, 2017	Classificationfeature selection	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-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification	Dec 14, 2024	counterfactualCounterfactual Explanation	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
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
Spikebench: An open benchmark for spike train time-series classification	Oct 9, 2018	Feature EngineeringTime Series	CodeCode Available	0	5
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis	Jun 23, 2018	Deep LearningGeneral Classification	CodeCode Available	0	5
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices	Dec 1, 2018	General ClassificationMultiple Instance Learning	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
A Framework to Evaluate Early Time-Series Classification Algorithms	Mar 25, 2024	ClassificationTime Series	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
Multi-Scale Convolutional Neural Networks for Time Series Classification	Mar 22, 2016	ClassificationDynamic Time Warping	CodeCode Available	0	5
Multi-task Meta Label Correction for Time Series Prediction	Mar 9, 2023	Contrastive LearningData Visualization	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
Castor: Competing shapelets for fast and accurate time series classification	Mar 19, 2024	Time SeriesTime Series Classification	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
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response	Oct 8, 2020	Deep LearningPrognosis	CodeCode Available	0	5
Adversarial Attacks on Deep Neural Networks for Time Series Classification	Mar 17, 2019	Activity RecognitionAdversarial Attack	CodeCode Available	0	5
Lightweight Defense Against Adversarial Attacks in Time Series Classification	May 4, 2025	Adversarial DefenseData Augmentation	CodeCode Available	0	5
Benchmarking time series classification -- Functional data vs machine learning approaches	Nov 18, 2019	Additive modelsBenchmarking	CodeCode Available	0	5
Benchmarking optimality of time series classification methods in distinguishing diffusions	Jan 30, 2023	BenchmarkingGaussian Processes	CodeCode Available	0	5
Learning filter widths of spectral decompositions with wavelets	Dec 1, 2018	Time SeriesTime Series Analysis	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 Graph Representations and Graph Neural Networks for Multivariate Time Series Classification	Jan 14, 2025	BenchmarkingGraph Representation Learning	CodeCode Available	0	5
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification	Mar 1, 2021	Data AugmentationDynamic Time Warping	CodeCode Available	0	5

Show:10 25 50

← PrevPage 4 of 14Next →

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