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 101–125 of 697 papers

TitleStatusHype
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and GenerationCode0
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series ClassificationCode1
A Comparison of Deep Learning and Established Methods for Calf Behaviour MonitoringCode0
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory SoundsCode0
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification—0
Correlation Analysis of Adversarial Attack in Time Series Classification—0
Interactive Counterfactual Generation for Univariate Time Series—0
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series—0
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust AnalysisCode0
An End-to-End Model for Time Series Classification In the Presence of Missing Values—0
AI-driven Java Performance Testing: Balancing Result Quality with Testing TimeCode0
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCode1
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series AnalysisCode1
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification—0
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification—0
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis—0
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis—0
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification—0
Physical Data Embedding for Memory Efficient AI—0
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units—0
Guidelines for Augmentation Selection in Contrastive Learning for Time Series ClassificationCode0
LETS-C: Leveraging Text Embedding for Time Series Classification—0
Using Photoplethysmography to Detect Real-time Blood Pressure Changes with a Calibration-free Deep Learning Model—0
SignSpeak: Open-Source Time Series Classification for ASL TranslationCode1
Capturing Temporal Components for Time Series Classification—0
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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