SOTAVerified

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

Showing 1–50 of 697 papers

TitleStatusHype
STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification—0
TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement LearningCode2
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition—0
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers—0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification—0
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?—0
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series ClassificationCode1
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity RecognitionCode0
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence ModelsCode1
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems—0
Evaluating Simplification Algorithms for Interpretability of Time Series Classification—0
Implet: A Post-hoc Subsequence Explainer for Time Series ModelsCode0
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain—0
Learning Soft Sparse Shapes for Efficient Time-Series ClassificationCode1
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint—0
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification BenchmarksCode1
An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions—0
Lightweight Defense Against Adversarial Attacks in Time Series ClassificationCode0
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments—0
On Multivariate Financial Time Series Classification—0
Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation—0
IdentiARAT: Toward Automated Identification of Individual ARAT Items from Wearable Sensors—0
ALT: A Python Package for Lightweight Feature Representation in Time Series Classification—0
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification—0
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification—0
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive LearningCode1
Interval-Valued Time Series Classification Using D_K-Distance—0
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification—0
Adaptive Classification of Interval-Valued Time Series—0
CLaP -- State Detection from Time SeriesCode0
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for ClassificationCode0
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification—0
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain—0
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks—0
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA—0
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series ClassificationCode1
Class-Dependent Perturbation Effects in Evaluating Time Series AttributionsCode0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Time Series Domain Adaptation via Latent Invariant Causal MechanismCode0
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series ClassificationCode2
Positional Encoding in Transformer-Based Time Series Models: A SurveyCode1
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution SelectionCode0
Structure-preserving contrastive learning for spatial time seriesCode0
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization—0
On the importance of structural identifiability for machine learning with partially observed dynamical systemsCode0
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series ClassificationCode1
TrojanTime: Backdoor Attacks on Time Series Classification—0
Large Language Models are Few-shot Multivariate Time Series Classifiers—0
Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural MappingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GRU-DAUC86.99—Unverified
2IP-NETSAUC86.42—Unverified
3TransformerAUC86.28—Unverified
4IP-NetsAUC86.24—Unverified
5mTAND-FullAUC85.8—Unverified
6mTAND-EncAUC85.4—Unverified
7SeFT-AttnAUC85.14—Unverified
8GRU-DAUC84.24—Unverified
9STraTSAUC83.9—Unverified
10ODE-RNNAUC83.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Disjoint-CNNAccuracy0.99—Unverified
2ConvTranAccuracy0.99—Unverified
3MALSTM-FCNAccuracy0.97—Unverified
4GP-SigAccuracy0.96—Unverified
5SNLSTAccuracy0.95—Unverified
6GP-LSTMAccuracy0.95—Unverified
7FCN-SNLSTAccuracy0.95—Unverified
8GP-GRUAccuracy0.95—Unverified
9GP-KConv1DAccuracy0.95—Unverified
10GP-Sig-LSTMAccuracy0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.99—Unverified
2GP-Sig-GRUAccuracy0.99—Unverified
3FCN-SNLSTAccuracy0.99—Unverified
4GP-Sig-LSTMAccuracy0.99—Unverified
5MALSTM-FCNAccuracy0.99—Unverified
6GP-GRUAccuracy0.99—Unverified
7GP-LSTMAccuracy0.99—Unverified
8GP-KConv1DAccuracy0.98—Unverified
9GP-SigAccuracy0.98—Unverified
10SNLSTAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.99—Unverified
2ConvTranAccuracy0.99—Unverified
3GP-KConv1DAccuracy0.99—Unverified
4GP-GRUAccuracy0.99—Unverified
5GP-Sig-GRUAccuracy0.99—Unverified
6GP-SigAccuracy0.98—Unverified
7GP-LSTMAccuracy0.98—Unverified
8GP-Sig-LSTMAccuracy0.98—Unverified
9FCN-SNLSTAccuracy0.98—Unverified
10SNLSTAccuracy0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.97—Unverified
2FCN-SNLSTAccuracy0.96—Unverified
3GP-SigAccuracy0.92—Unverified
4GP-Sig-LSTMAccuracy0.92—Unverified
5GP-Sig-GRUAccuracy0.9—Unverified
6GP-LSTMAccuracy0.78—Unverified
7SNLSTAccuracy0.77—Unverified
8GP-GRUAccuracy0.74—Unverified
9GP-KConv1DAccuracy0.7—Unverified
10TSEMAccuracy0.37—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.98—Unverified
2GP-Sig-LSTMAccuracy0.97—Unverified
3FCN-SNLSTAccuracy0.97—Unverified
4GP-Sig-GRUAccuracy0.97—Unverified
5GP-SigAccuracy0.96—Unverified
6GP-KConv1DAccuracy0.95—Unverified
7SNLSTAccuracy0.94—Unverified
8GP-LSTMAccuracy0.87—Unverified
9TSEMAccuracy0.83—Unverified
10GP-GRUAccuracy0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1R_DST_EnsembleAccuracy1—Unverified
2GP-GRUAccuracy0.99—Unverified
3MALSTM-FCNAccuracy0.99—Unverified
4FCN-SNLSTAccuracy0.99—Unverified
5GP-Sig-LSTMAccuracy0.99—Unverified
6GP-KConv1DAccuracy0.98—Unverified
7SNLSTAccuracy0.98—Unverified
8GP-Sig-GRUAccuracy0.98—Unverified
9GP-LSTMAccuracy0.97—Unverified
10GP-SigAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.99—Unverified
2GP-Sig-LSTMAccuracy0.98—Unverified
3GP-Sig-GRUAccuracy0.98—Unverified
4SNLSTAccuracy0.97—Unverified
5MALSTM-FCNAccuracy0.96—Unverified
6GP-GRUAccuracy0.95—Unverified
7GP-SigAccuracy0.93—Unverified
8GP-LSTMAccuracy0.88—Unverified
9GP-KConv1DAccuracy0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy1—Unverified
2FCN-SNLSTAccuracy0.99—Unverified
3GP-Sig-LSTMAccuracy0.99—Unverified
4GP-SigAccuracy0.98—Unverified
5SNLSTAccuracy0.96—Unverified
6GP-KConv1DAccuracy0.94—Unverified
7GP-Sig-GRUAccuracy0.93—Unverified
8GP-LSTMAccuracy0.23—Unverified
9GP-GRUAccuracy0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-Sig-GRUAccuracy1—Unverified
2FCN-SNLSTAccuracy1—Unverified
3SNLSTAccuracy1—Unverified
4MALSTM-FCNAccuracy1—Unverified
5GP-Sig-LSTMAccuracy1—Unverified
6GP-GRUAccuracy0.99—Unverified
7GP-SigAccuracy0.98—Unverified
8GP-LSTMAccuracy0.92—Unverified
9GP-KConv1DAccuracy0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SNLSTAccuracy1—Unverified
2MALSTM-FCNAccuracy1—Unverified
3GP-KConv1DAccuracy1—Unverified
4GP-SigAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6FCN-SNLSTAccuracy1—Unverified
7GP-Sig-LSTMAccuracy1—Unverified
8GP-LSTMAccuracy1—Unverified
9GP-GRUAccuracy0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy0.86—Unverified
2FCN-SNLSTAccuracy0.86—Unverified
3GP-SigAccuracy0.85—Unverified
4SNLSTAccuracy0.84—Unverified
5GP-Sig-GRUAccuracy0.83—Unverified
6GP-Sig-LSTMAccuracy0.82—Unverified
7GP-LSTMAccuracy0.78—Unverified
8GP-KConv1DAccuracy0.76—Unverified
9GP-GRUAccuracy0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy1—Unverified
2SNLSTAccuracy1—Unverified
3MALSTM-FCNAccuracy1—Unverified
4GP-SigAccuracy0.9—Unverified
5GP-Sig-LSTMAccuracy0.9—Unverified
6GP-Sig-GRUAccuracy0.82—Unverified
7GP-KConv1DAccuracy0.7—Unverified
8GP-LSTMAccuracy0.62—Unverified
9GP-GRUAccuracy0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.96—Unverified
2MALSTM-FCNAccuracy0.95—Unverified
3GP-KConv1DAccuracy0.95—Unverified
4GP-SigAccuracy0.94—Unverified
5GP-Sig-LSTMAccuracy0.93—Unverified
6GP-LSTMAccuracy0.93—Unverified
7GP-GRUAccuracy0.93—Unverified
8GP-Sig-GRUAccuracy0.92—Unverified
9SNLSTAccuracy0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1MALSTM-FCNAccuracy1—Unverified
2GP-LSTMAccuracy1—Unverified
3GP-Sig-LSTMAccuracy1—Unverified
4GP-KConv1DAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6GP-SigAccuracy1—Unverified
7SNLSTAccuracy1—Unverified
8FCN-SNLSTAccuracy1—Unverified
9GP-GRUAccuracy0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-KConv1DAccuracy1—Unverified
2GP-SigAccuracy1—Unverified
3GP-GRUAccuracy1—Unverified
4GP-Sig-LSTMAccuracy1—Unverified
5GP-Sig-GRUAccuracy1—Unverified
6GP-LSTMAccuracy1—Unverified
7MALSTM-FCNAccuracy1—Unverified
8FCN-SNLSTAccuracy1—Unverified
9SNLSTAccuracy1—Unverified
#ModelMetricClaimedVerifiedStatus
1LEM% Test Accuracy92.3—Unverified
2UnICORNN% Test Accuracy90.3—Unverified
3coRNN% Test Accuracy86.7—Unverified
4NRDE% Test Accuracy83.8—Unverified
5GRU% Test Accuracy82.1—Unverified
6IndRNN% Test Accuracy49.7—Unverified
7TSEM% Test Accuracy42—Unverified
8expRNN% Test Accuracy40—Unverified
#ModelMetricClaimedVerifiedStatus
1FCN-SNLSTAccuracy0.86—Unverified
2GP-SigAccuracy0.82—Unverified
3GP-KConv1DAccuracy0.79—Unverified
4GP-Sig-GRUAccuracy0.78—Unverified
5GP-GRUAccuracy0.77—Unverified
6GP-Sig-LSTMAccuracy0.76—Unverified
7SNLSTAccuracy0.75—Unverified
8GP-LSTMAccuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.67—Unverified
2Disjoint-CNNAccuracy0.57—Unverified
3TSEMAccuracy0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.79—Unverified
2Disjoint-CNNAccuracy0.76—Unverified
3TSEMAccuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CNNAccuracy (5-fold)93.96—Unverified
2MambaAccuracy (5-fold)93.68—Unverified
#ModelMetricClaimedVerifiedStatus
1V2SaAccuracy (Test)78.42—Unverified
2R_DST_EnsembleAccuracy(30-fold)0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1V2SaAcc. (test)100—Unverified
21D Convolution Neural NetworkF1 score97—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTranAccuracy0.71—Unverified