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 4751–4800 of 6748 papers

TitleStatusHype
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting—0
What is the best RNN-cell structure for forecasting each time series behavior?—0
What Makes An Asset Useful?—0
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
What went wrong and when?\\ Instance-wise feature importance for time-series black-box models—0
When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection?—0
When Darwin meets Lorenz: Evolving new chaotic attractors through genetic programming—0
When is Early Classification of Time Series Meaningful?—0
When Ramanujan meets time-frequency analysis in complicated time series analysis—0
When Traffic Flow Prediction Meets Wireless Big Data Analytics—0
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits—0
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?—0
Wi-Motion: A Robust Human Activity Recognition Using WiFi Signals—0
Wind power ramp prediction algorithm based on wavelet deep belief network—0
Wind speed forecast using random forest learning method—0
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture—0
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019—0
Winning the ICCV 2019 Learning to Drive Challenge—0
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands—0
Winterization of Texan power system infrastructure is profitable but risky—0
WISDoM: characterizing neurological timeseries with the Wishart distribution—0
With Whom Do I Interact? Detecting Social Interactions in Egocentric Photo-streams—0
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index—0
Word Recognition from Continuous Articulatory Movement Time-series Data using Symbolic Representations—0
XAI Methods for Neural Time Series Classification: A Brief Review—0
Yes, DLGM! A novel hierarchical model for hazard classification—0
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection—0
You May Not Need Order in Time Series Forecasting—0
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling—0
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks—0
Multi-Task Time Series Forecasting With Shared Attention—0
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia—0
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce—0
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model—0
Community Detection and Growth Potential Prediction from Patent Citation Networks—0
Automatic Model Building in GEFCom 2017 Qualifying Match—0
tsmp: An R Package for Time Series with Matrix Profile—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
Capturing Evolution Genes for Time Series Data—0
Inferring Global Dynamics of a Black-Box System Using Machine Learning—0
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning—0
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes—0
Super-resolution of Time-series Labels for Bootstrapped Event Detection—0
Learning low-dimensional state embeddings and metastable clusters from time series data—0
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism—0
Quantile Convolutional Neural Networks for Value at Risk Forecasting—0
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations—0
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data—0
Show:102550
← PrevPage 96 of 135Next →
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