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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
Attention-based CNN-LSTM and XGBoost hybrid model for stock predictionCode2
How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and OutlookCode2
Model scale versus domain knowledge in statistical forecasting of chaotic systemsCode2
LogAI: A Library for Log Analytics and IntelligenceCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
Flowformer: Linearizing Transformers with Conservation FlowsCode2
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
FITS: Modeling Time Series with 10k ParametersCode2
ETSformer: Exponential Smoothing Transformers for Time-series ForecastingCode2
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series DataCode2
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingCode2
Harnessing Vision Models for Time Series Analysis: A SurveyCode2
Learning Deep Time-index Models for Time Series ForecastingCode2
Deep learning for time series classification: a reviewCode2
Diffusion-based Time Series Imputation and Forecasting with Structured State Space ModelsCode2
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic ForecastingCode2
Anomaly Transformer: Time Series Anomaly Detection with Association DiscrepancyCode2
Conformal prediction interval for dynamic time-seriesCode2
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent NetworksCode2
Domino: Discovering Systematic Errors with Cross-Modal EmbeddingsCode2
MOMENT: A Family of Open Time-series Foundation ModelsCode2
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image UnderstandingCode2
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
Exathlon: A Benchmark for Explainable Anomaly Detection over Time SeriesCode1
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 Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant 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 Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural NetworksCode1
CKConv: Continuous Kernel Convolution For Sequential DataCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
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 Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
An Evaluation of Change Point Detection AlgorithmsCode1
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
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