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 1301–1350 of 6748 papers

TitleStatusHype
Multi-Variate Time Series Forecasting on Variable SubsetsCode1
Undetectable GPS-Spoofing Attack on Time Series Phasor Measurement Unit Data—0
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting—0
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking DataCode0
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
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural NetworksCode0
On the Parameterization and Initialization of Diagonal State Space Models—0
Utilizing Expert Features for Contrastive Learning of Time-Series RepresentationsCode1
An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series ForecastingCode1
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification—0
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting EpidemicsCode1
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Twitter conversations predict the daily confirmed COVID-19 casesCode0
Statistical inference of lead-lag at various timescales between asynchronous time series from p-values of transfer entropy—0
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements—0
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based ModelCode0
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation—0
Time Gated Convolutional Neural Networks for Crop Classification—0
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality AssessmentCode0
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting—0
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series ClassificationCode1
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series ForecastingCode2
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic ForecastingCode2
Autoencoding Conditional GAN for Portfolio Allocation Diversification—0
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance MeasuresCode1
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Plotly-Resampler: Effective Visual Analytics for Large Time SeriesCode3
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift—0
Domain Generalization via Selective Consistency Regularization for Time Series Classification—0
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings—0
User Engagement in Mobile Health Applications—0
Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors—0
Learning with little mixing—0
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingCode1
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential EquationsCode1
MAGIC: Microlensing Analysis Guided by Intelligent ComputationCode1
Closed-Form Diffeomorphic Transformations for Time Series AlignmentCode1
Conformal prediction set for time-seriesCode1
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
Calibrating Agent-based Models to Microdata with Graph Neural Networks—0
Deep Isolation Forest for Anomaly DetectionCode1
Improving Solar Flare Prediction by Time Series Outlier Detection—0
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning—0
Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiologyCode0
Robust Time Series Denoising with Learnable Wavelet Packet Transform—0
Efficient recurrent architectures through activity sparsity and sparse back-propagation through timeCode1
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading—0
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
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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