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 1–50 of 697 papers

Title	Date	Tasks	Status	Hype
TSLANet: Rethinking Transformers for Time Series Representation Learning	Apr 12, 2024	Anomaly DetectionComputational Efficiency	CodeCode Available	3
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	Apr 25, 2023	Dynamic Time WarpingTime Series	CodeCode Available	3
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels	Oct 29, 2019	General ClassificationTime Series	CodeCode Available	3
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline	Nov 20, 2016	General ClassificationTime Series	CodeCode Available	3
TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning	Jun 16, 2025	Reinforcement Learning (RL)Time Series	CodeCode Available	2
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification	Feb 21, 2025	Contrastive LearningTime Series	CodeCode Available	2
Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping	Jan 29, 2025	Time SeriesTime Series Classification	CodeCode Available	2
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification	May 24, 2024	EEGElectrocardiography (ECG)	CodeCode Available	2
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data	May 8, 2024	EEGGraph Classification	CodeCode Available	2
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning	May 6, 2024	Multiple Instance LearningTime Series	CodeCode Available	2
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis	May 1, 2024	Fault DetectionFault Diagnosis	CodeCode Available	2
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations	Mar 19, 2024	Language ModellingTime Series	CodeCode Available	2
Advancing Time Series Classification with Multimodal Language Modeling	Mar 19, 2024	ClassificationLanguage Modeling	CodeCode Available	2
Class-incremental Learning for Time Series: Benchmark and Evaluation	Feb 19, 2024	Activity RecognitionBenchmarking	CodeCode Available	2
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series	May 30, 2023	Anomaly DetectionClassification	CodeCode Available	2
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification	Aug 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	2
Deep learning for time series classification	Oct 1, 2020	Activity RecognitionClassification	CodeCode Available	2
Deep learning for time series classification: a review	Sep 12, 2018	Deep LearningGeneral Classification	CodeCode Available	2
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection	Jul 1, 2016	Anomaly DetectionDecoder	CodeCode Available	2
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification	May 29, 2025	Anomaly DetectionContrastive Learning	CodeCode Available	1
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models	May 23, 2025	MambaTime Series Classification	CodeCode Available	1
Learning Soft Sparse Shapes for Efficient Time-Series Classification	May 11, 2025	ClassificationTime Series	CodeCode Available	1
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks	May 9, 2025	Irregular Time SeriesMissing Values	CodeCode Available	1
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning	Apr 11, 2025	Contrastive LearningDeep Learning	CodeCode Available	1
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification	Mar 7, 2025	Action RecognitionEEG	CodeCode Available	1
Positional Encoding in Transformer-Based Time Series Models: A Survey	Feb 17, 2025	Anomaly DetectionBenchmarking	CodeCode Available	1
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification	Feb 6, 2025	Electrocardiography (ECG)Graph Learning	CodeCode Available	1
ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST	Jan 2, 2025	ClassificationTime Series Classification	CodeCode Available	1
Using matrix-product states for time-series machine learning	Dec 20, 2024	AstronomyImputation	CodeCode Available	1
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models	Dec 5, 2024	Feature ImportanceTime Series	CodeCode Available	1
Causal and Local Correlations Based Network for Multivariate Time Series Classification	Nov 27, 2024	Graph Neural NetworkTime Series	CodeCode Available	1
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models	Nov 24, 2024	Problem DecompositionTime Series	CodeCode Available	1
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification	Nov 1, 2024	QuantizationRepresentation Learning	CodeCode Available	1
UniMTS: Unified Pre-training for Motion Time Series	Oct 18, 2024	Contrastive LearningTime Series	CodeCode Available	1
Vector-ICL: In-context Learning with Continuous Vector Representations	Oct 8, 2024	ClassificationGraph Classification	CodeCode Available	1
Look Into the LITE in Deep Learning for Time Series Classification	Sep 4, 2024	Time SeriesTime Series Classification	CodeCode Available	1
Time series classification with random convolution kernels based transforms: pooling operators and input representations matter	Sep 2, 2024	feature selectionTime Series	CodeCode Available	1
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification	Aug 29, 2024	CPUDiagnostic	CodeCode Available	1
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models	Aug 7, 2024	Computational EfficiencyFeature Importance	CodeCode Available	1
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis	Aug 5, 2024	ClassificationEEG	CodeCode Available	1
SignSpeak: Open-Source Time Series Classification for ASL Translation	Jun 27, 2024	Time SeriesTime Series Classification	CodeCode Available	1
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification	Jun 6, 2024	MambaMULTI-VIEW LEARNING	CodeCode Available	1
CAFO: Feature-Centric Explanation on Time Series Classification	Jun 3, 2024	ClassificationFeature Importance	CodeCode Available	1
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations	May 30, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available	1
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models	May 24, 2024	counterfactualTime Series	CodeCode Available	1
Attention as an RNN	May 22, 2024	GPUTime Series	CodeCode Available	1
Proprioception Is All You Need: Terrain Classification for Boreal Forests	Mar 25, 2024	AllAutonomous Navigation	CodeCode Available	1
Dataset Condensation for Time Series Classification via Dual Domain Matching	Mar 12, 2024	Data AugmentationDataset Condensation	CodeCode Available	1
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference	Feb 28, 2024	MambaTime Series	CodeCode Available	1
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series	Dec 17, 2023	Time SeriesTime Series Classification	CodeCode Available	1

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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