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Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 101–150 of 6748 papers

TitleStatusHype
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language ModelCode2
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in PythonCode2
LogAI: A Library for Log Analytics and IntelligenceCode2
AR-Net: A simple Auto-Regressive Neural Network for time-seriesCode2
Flowformer: Linearizing Transformers with Conservation FlowsCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingCode2
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based ReconciliationCode2
FITS: Modeling Time Series with 10k ParametersCode2
Harnessing Vision Models for Time Series Analysis: A SurveyCode2
Diffusion-based Time Series Imputation and Forecasting with Structured State Space ModelsCode2
Deep learning for time series classificationCode2
Domino: Discovering Systematic Errors with Cross-Modal EmbeddingsCode2
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic ForecastingCode2
Conformal prediction interval for dynamic time-seriesCode2
Attention-based CNN-LSTM and XGBoost hybrid model for stock predictionCode2
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series ForecastingCode2
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent NetworksCode2
MOMENT: A Family of Open Time-series Foundation ModelsCode2
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image UnderstandingCode2
Learning Deep Time-index Models for Time Series ForecastingCode2
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series AnalysisCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
A biologically plausible neural network for Slow Feature AnalysisCode1
Closed-Form Diffeomorphic Transformations for Time Series AlignmentCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
A bio-inspired bistable recurrent cell allows for long-lasting memoryCode1
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware DetectionCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
Exathlon: A Benchmark for Explainable Anomaly Detection over Time SeriesCode1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategyCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural NetworksCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
An Evaluation of Change Point Detection AlgorithmsCode1
CKConv: Continuous Kernel Convolution For Sequential DataCode1
ClaSP -- Parameter-free Time Series SegmentationCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
A Neural PDE Solver with Temporal Stencil ModelingCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
ClaSP - Time Series SegmentationCode1
The Signature Kernel is the solution of a Goursat PDECode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified