SOTAVerified

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 2301–2350 of 6748 papers

TitleStatusHype
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks—0
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection—0
Chaotic Neuronal Oscillations in Spontaneous Cortical-Subcortical Networks—0
Chaos may enhance expressivity in cerebellar granular layer—0
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification—0
Adaptive exponential power distribution with moving estimator for nonstationary time series—0
Explainable boosted linear regression for time series forecasting—0
Explainable nonlinear modelling of multiple time series with invertible neural networks—0
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes—0
Chaos in Fractionally Integrated Generalized Autoregressive Conditional Heteroskedastic Processes—0
"Chaos" in energy and commodity markets: a controversial matter—0
Channel masking for multivariate time series shapelets—0
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples—0
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids—0
Channel-Based Attention for LCC Using Sentinel-2 Time Series—0
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending—0
Change Point Detection via Multivariate Singular Spectrum Analysis—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
AI for trading strategies—0
Adaptive Estimation of Graphical Models under Total Positivity—0
Explainable AI for clinical and remote health applications: a survey on tabular and time series data—0
AI enabled RPM for Mental Health Facility—0
Experimental design trade-offs for gene regulatory network inference: an in silico study of the yeast Saccharomyces cerevisiae cell cycle—0
Anticipating synchronization with machine learning—0
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees—0
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations—0
Experimentally testable whole brain manifolds that recapitulate behavior—0
Changepoint Analysis of Topic Proportions in Temporal Text Data—0
Change of persistence in European electricity spot prices—0
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data—0
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy—0
Experimental demonstration of bandwidth enhancement in photonic time delay reservoir computing—0
Expert Aggregation for Financial Forecasting—0
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations—0
Challenges in Forecasting Malicious Events from Incomplete Data—0
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data—0
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model—0
Challenges and approaches to time-series forecasting in data center telemetry: A Survey—0
CHALLENGER: Training with Attribution Maps—0
A Novel Trend Symbolic Aggregate Approximation for Time Series—0
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting—0
CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction—0
A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor—0
A novel stochastic model based on echo state networks for hydrological time series forecasting—0
Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization—0
Cellular reprogramming dynamics follow a simple one-dimensional reaction coordinate—0
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting—0
Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version—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