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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3776–3800 of 6748 papers

TitleStatusHype
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data—0
Stochastic embeddings of dynamical phenomena through variational autoencodersCode0
A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price—0
Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control—0
Unfolding recurrence by Green's functions for optimized reservoir computing—0
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment—0
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
Early Abandoning PrunedDTW and its application to similarity searchCode0
Interpretable Neural Networks for Panel Data Analysis in Economics—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges—0
Structured Self-Attention Weights Encode Semantics in Sentiment AnalysisCode0
Downsampling and geometric feature methods for EEG classification tasks with CNNs—0
Asset Price Forecasting using Recurrent Neural NetworksCode0
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis—0
Bifurcation Analysis using Zigzag Persistence—0
Explainable Framework for Time-series Analysis via Topological Data Analysis—0
Deep Reinforcement Learning for Asset Allocation in US Equities—0
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis—0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy—0
Show:102550
← PrevPage 152 of 270Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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