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 3176–3200 of 6748 papers

TitleStatusHype
Analysis of cyclical behavior in time series of stock market returns—0
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier—0
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data—0
IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks—0
Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
Image Processing Tools for Financial Time Series Classification—0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models—0
Empirical analysis of daily cash flow time series and its implications for forecasting—0
Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package—0
IMG-NILM: A Deep learning NILM approach using energy heatmaps—0
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic—0
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Cryptocurrency Market Consolidation in 2020--2021—0
Importance attribution in neural networks by means of persistence landscapes of time series—0
Imposing Connectome-Derived Topology on an Echo State Network—0
Causal Digital Twin from Multi-channel IoT—0
Improved Dynamic Time Warping (DTW) Approach for Online Signature Verification—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
Show:102550
← PrevPage 128 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