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

Showing 64016450 of 6748 papers

TitleStatusHype
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian ProcessesCode0
Deep Learning for Predicting Asset ReturnsCode0
Metric on Nonlinear Dynamical Systems with Perron-Frobenius OperatorsCode0
MEx: Multi-modal Exercises Dataset for Human Activity RecognitionCode0
Exploring Interpretable LSTM Neural Networks over Multi-Variable DataCode0
Variationally Inferred Sampling Through a Refined BoundCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
MIA-Prognosis: A Deep Learning Framework to Predict Therapy ResponseCode0
micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observationsCode0
DPSOM: Deep Probabilistic Clustering with Self-Organizing MapsCode0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-IIICode0
Combining datasets to increase the number of samples and improve model fittingCode0
Explainable time series tweaking via irreversible and reversible temporal transformationsCode0
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic PredictionCode0
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled TrajectoriesCode0
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop MappingCode0
Minimax Estimation of Partially-Observed Vector AutoRegressionsCode0
Predicting Solar Flares Using a Long Short-Term Memory NetworkCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
Adversarial Attacks on Deep Neural Networks for Time Series ClassificationCode0
CNTS: Cooperative Network for Time SeriesCode0
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)Code0
Mining Novel Multivariate Relationships in Time Series Data Using Correlation NetworksCode0
Deep Learning for MusicCode0
Automatic Segmentation of the Placenta in BOLD MRI Time SeriesCode0
Automatic Health Problem Detection from Gait Videos Using Deep Neural NetworksCode0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flowCode0
Bubble Prediction of Non-Fungible Tokens (NFTs): An Empirical InvestigationCode0
Automatic Construction and Natural-Language Description of Nonparametric Regression ModelsCode0
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in HealthcareCode0
Predicting the impact of treatments over time with uncertainty aware neural differential equationsCode0
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large ModelsCode0
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team ScenarioCode0
Predicting the Number of Reported Bugs in a Software RepositoryCode0
Experimental study of time series forecasting methods for groundwater level predictionCode0
Tailoring Artificial Neural Networks for Optimal LearningCode0
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural NetworksCode0
A Complex Systems Approach To Feature Extraction for Chaotic Behavior RecognitionCode0
Sequential Gaussian Processes for Online Learning of Nonstationary FunctionsCode0
Exoplanet Detection using Machine LearningCode0
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveSCode0
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal DimensionCode0
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency RepresentationCode0
Time Series Clustering via Community Detection in NetworksCode0
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression ModelingCode0
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space ModelsCode0
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking DataCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified