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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 1901–1950 of 6748 papers

TitleStatusHype
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series—0
Causal Discovery using Model Invariance through Knockoff InterventionsCode0
Backpropagation on Dynamical Networks—0
Semi-unsupervised Learning for Time Series ClassificationCode0
Don't overfit the history -- Recursive time series data augmentation—0
Variations on two-parameter families of forecasting functions: seasonal/nonseasonal Models, comparison to the exponential smoothing and ARIMA models, and applications to stock market data—0
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer—0
Composite FORCE learning of chaotic echo state networks for time-series prediction—0
Reinforcement Learning Portfolio Manager Framework with Monte Carlo Simulation—0
Adaptive deep learning for nonlinear time series models—0
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding—0
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series—0
Input Sequence and Parameter Estimation in Impulsive Biomedical Models—0
Modeling Randomly Walking Volatility with Chained Gamma Distributions—0
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures—0
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial NetworksCode0
Continuous Sign Language Recognition via Temporal Super-Resolution Network—0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction—0
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units—0
Simulating financial time series using attention—0
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems—0
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding—0
Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market—0
Rapid training of quantum recurrent neural networksCode0
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation—0
K-ARMA Models for Clustering Time Series Data—0
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes—0
Intrinsic Anomaly Detection for Multi-Variate Time Series—0
Automatic Synthesis of Neurons for Recurrent Neural Nets—0
Imaging the time series of one single referenced EEG electrode for Epileptic Seizures Risk Analysis—0
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows—0
Continual Learning for Human State MonitoringCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Improving self-supervised pretraining models for epileptic seizure detection from EEG data—0
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting—0
Generative Anomaly Detection for Time Series Datasets—0
Detection and Forecasting of Extreme event in Stock Price Triggered by Fundamental, Technical, and External Factors—0
Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition—0
Learning Deep Input-Output Stable DynamicsCode0
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task—0
fETSmcs: Feature-based ETS model component selectionCode0
AI for trading strategies—0
Data Augmentation techniques in time series domain: A survey and taxonomy—0
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking DataCode0
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting—0
Undetectable GPS-Spoofing Attack on Time Series Phasor Measurement Unit Data—0
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural NetworksCode0
Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects—0
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains—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