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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 2751–2800 of 6748 papers

TitleStatusHype
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data—0
Contrastive Multivariate Singular Spectrum Analysis—0
Assessing biological models using topological data analysis—0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Contrastive learning of strong-mixing continuous-time stochastic processes—0
A Spectral Enabled GAN for Time Series Data Generation—0
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series—0
A Spectral Algorithm for Learning Hidden Markov Models—0
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network—0
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM—0
Contrastive Learning for Time Series on Dynamic Graphs—0
Learning Informative Health Indicators Through Unsupervised Contrastive Learning—0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction—0
Contrastive Conditional Neural Processes—0
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction—0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Contour map of estimation error for Expected Shortfall—0
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19—0
A Multi-Scale Tensor Network Architecture for Classification and Regression—0
Continuous Sign Language Recognition via Temporal Super-Resolution Network—0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting—0
A Soft Computing Approach for Selecting and Combining Spectral Bands—0
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE—0
Continuous Convolutional Neural Network forNonuniform Time Series—0
Continuous Ant-Based Neural Topology Search—0
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads—0
A multi-scale symmetry analysis of uninterrupted trends returns of daily financial indices—0
A Deep Learning Approach for COVID-19 Trend Prediction—0
A Clustering Algorithm for Correlation Quickest Hub Discovery Mixing Time Evolution and Random Matrix Theory—0
A Bayesian analysis of gain-loss asymmetry—0
Continual Learning Using Bayesian Neural Networks—0
A simulation of the insurance industry: The problem of risk model homogeneity—0
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions—0
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter—0
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc—0
A similarity measurement for time series and its application to the stock market—0
Context-invariant, multi-variate time series representations—0
A Multi-modal Deep Learning Model for Video Thumbnail Selection—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
Context Dependent Semantic Parsing over Temporally Structured Data—0
A Signal Detection Scheme Based on Deep Learning in OFDM Systems—0
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions—0
Context-Aware Ensemble Learning for Time Series—0
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis—0
A Multi-Modal and Multitask Benchmark in the Clinical Domain—0
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context—0
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
A Short Image Series Based Scheme for Time Series Digital Image Correlation—0
Contemporary machine learning: a guide for practitioners in the physical sciences—0
Containment strategies and statistical measures for the control of Bovine Viral Diarrhea spread in livestock trade networks—0
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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