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 33513400 of 6748 papers

TitleStatusHype
Spatio-Temporal Graph Scattering Transform0
Estimating Vector Fields from Noisy Time SeriesCode0
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes0
Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data0
LandCoverNet: A global benchmark land cover classification training datasetCode0
Learning summary features of time series for likelihood free inference0
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data0
Forecast with Forecasts: Diversity Matters0
Inference in mixed causal and noncausal models with generalized Student's t-distributions0
Recursive Tree Grammar AutoencodersCode0
Concept-based model explanations for Electronic Health RecordsCode0
SAFCAR: Structured Attention Fusion for Compositional Action Recognition0
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron ResolutionCode1
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks0
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series0
Named-Entity Based Sentiment Analysis of Nepali News Media Texts0
Market Comment Generation from Data with Noisy Alignments0
Assessing Social License to Operate from the Public Discourse on Social Media0
Modeling Evolution of Message Interaction for Rumor Resolution0
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart HomesCode0
We are More than Our Joints: Predicting how 3D Bodies Move0
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting0
Weak Form Generalized Hamiltonian LearningCode1
Latent Dynamic Factor Analysis of High-Dimensional Neural RecordingsCode0
Unfolding recurrence by Green’s functions for optimized reservoir computing0
STEER : Simple Temporal Regularization For Neural ODE0
Adversarial Sparse Transformer for Time Series ForecastingCode1
Training Linear Finite-State Machines0
Causal analysis of Covid-19 Spread in Germany0
Normalizing Kalman Filters for Multivariate Time Series Analysis0
Probabilistic Time Series Forecasting with Shape and Temporal DiversityCode1
What went wrong and when?\\ Instance-wise feature importance for time-series black-box models0
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
AGNet: Weighing Black Holes with Machine LearningCode1
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series0
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
Exoplanet Detection using Machine LearningCode0
Time Series Change Point Detection with Self-Supervised Contrastive Predictive CodingCode1
An Equilibrium Model for the Cross-Section of Liquidity Premia0
Nowcasting NetworksCode0
Self-Supervised Time Series Representation Learning by Inter-Intra Relational ReasoningCode1
Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
4D Human Body Capture from Egocentric Video via 3D Scene Grounding0
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach0
Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic0
Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks0
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning0
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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