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
MIDAS: Deep learning human action intention prediction from natural eye movement patterns	Jan 22, 2022	Time Series AnalysisTime Series Classification	—Unverified
Mimic: An adaptive algorithm for multivariate time series classification	Nov 8, 2021	ClassificationTime Series	—Unverified
Mining linguistic tone patterns with symbolic representation	Aug 1, 2016	Information RetrievalMusic Information Retrieval	—Unverified
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition	Jun 15, 2025	Activity RecognitionHuman Activity Recognition	—Unverified
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification	Jan 21, 2020	ClusteringGeneral Classification	—Unverified
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification	Feb 21, 2024	Neural Architecture SearchTime Series	—Unverified
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs	Jun 6, 2023	Graph EmbeddingTime Series	—Unverified
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification	Dec 21, 2020	General ClassificationRepresentation Learning	—Unverified
Multi-label Prediction in Time Series Data using Deep Neural Networks	Jan 27, 2020	Activity RecognitionEvent Detection	—Unverified
Multimodal Physical Fitness Monitoring (PFM) Framework Based on TimeMAE-PFM in Wearable Scenarios	Mar 25, 2024	Time SeriesTime Series Classification	—Unverified
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification	Jun 17, 2021	Activity RecognitionClassification	—Unverified
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers	Nov 20, 2018	Multiple Instance LearningTime Series	—Unverified
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices	Dec 1, 2018	General ClassificationMultiple Instance Learning	—Unverified
Multi-Scale RCNN Model for Financial Time-series Classification	Nov 21, 2019	ClassificationGeneral Classification	—Unverified
Multitask Learning for Time Series Data with 2D Convolution	Oct 5, 2023	Dynamic Time WarpingRecommendation Systems	—Unverified
Multi-Task Self-Supervised Time-Series Representation Learning	Mar 2, 2023	Anomaly DetectionContrastive Learning	—Unverified
Multivariable times series classification through an interpretable representation	Sep 8, 2020	ClassificationDescriptive	—Unverified
Multivariate Time Series Classification: A Deep Learning Approach	Jul 5, 2023	ClassificationDeep Learning	—Unverified
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition	Dec 21, 2015	Activity RecognitionDynamic Time Warping	—Unverified
Multivariate Time Series Classification Using Spiking Neural Networks	Jul 7, 2020	ClassificationGeneral Classification	—Unverified
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling	Oct 12, 2020	ClassificationDecoder	—Unverified
Multivariate time series classification with dual attention network	Aug 26, 2023	ClassificationTime Series	—Unverified
Correlative Channel-Aware Fusion for Multi-View Time Series Classification	Nov 24, 2019	ClassificationGeneral Classification	—Unverified
Neural ODEs for Informative Missingness in Multivariate Time Series	May 20, 2020	Deep LearningImputation	—Unverified
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description	Sep 15, 2022	Interpretable Machine LearningTime Series	—Unverified
Physical Data Embedding for Memory Efficient AI	Jul 19, 2024	Physics-informed machine learningTime Series	—Unverified
Objective Evaluation of Deep Visual Interpretations on Time Series Data	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification	Jul 16, 2014	General ClassificationTime Series	—Unverified
On Multivariate Financial Time Series Classification	Apr 24, 2025	ClassificationTime Series	—Unverified
On Recursive Edit Distance Kernels with Application to Time Series Classification	May 27, 2010	General ClassificationTime Series	—Unverified
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning	Feb 13, 2021	General ClassificationTime Series Analysis	—Unverified
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0	Apr 13, 2020	Time SeriesTime Series Analysis	—Unverified
On when is Reservoir Computing with Cellular Automata Beneficial?	Jun 13, 2024	Time SeriesTime Series Classification	—Unverified
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations	Dec 16, 2023	image-classificationImage Classification	—Unverified
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices	Oct 23, 2023	Time Series Classification	—Unverified
Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers	Sep 17, 2024	Privacy PreservingTime Series	—Unverified
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series	Jan 24, 2022	Missing LabelsRetrieval	—Unverified
OSTSC: Over Sampling for Time Series Classification in R	Nov 27, 2017	ClassificationGeneral Classification	—Unverified
Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification	Nov 16, 2021	feature selectionOutlier Detection	—Unverified
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography	Nov 17, 2022	Heartbeat ClassificationTime Series	—Unverified
Parameterizing the cost function of Dynamic Time Warping with application to time series classification	Jan 24, 2023	Dynamic Time WarpingTime Series	—Unverified
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification	Feb 11, 2021	ClassificationGeneral Classification	—Unverified
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task	Dec 1, 2012	ClassificationDiagnostic	—Unverified
Pattern Sampling for Shapelet-based Time Series Classification	Feb 16, 2021	ClassificationGeneral Classification	—Unverified
Phase-driven Domain Generalizable Learning for Nonstationary Time Series	Feb 5, 2024	Activity RecognitionGesture Recognition	—Unverified
Phase Space Reconstruction Network for Lane Intrusion Action Recognition	Feb 22, 2021	Action RecognitionAutonomous Driving	—Unverified
Photometric light curves classification with machine learning	Sep 10, 2019	BIG-bench Machine LearningClassification	—Unverified
Plotting time: On the usage of CNNs for time series classification	Feb 8, 2021	ClassificationGeneral Classification	—Unverified
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification	Dec 13, 2022	AutoMLNeural Architecture Search	—Unverified
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM	Aug 15, 2016	ClassificationGeneral Classification	—Unverified

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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