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 2051–2100 of 6748 papers

TitleStatusHype
Devil in the Detail: Attack Scenarios in Industrial Applications—0
Bayesian prediction of jumps in large panels of time series data—0
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series—0
A First Option Calibration of the GARCH Diffusion Model by a PDE Method—0
A first econometric analysis of the CRIX family—0
A Convolutional Neural Network Approach to Supernova Time-Series Classification—0
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Bayesian Optimisation for a Biologically Inspired Population Neural Network—0
Development of an Algorithm for Identifying Changes in System Dynamics from Time Series—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
Bayesian Online Change Point Detection for Baseline Shifts—0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development—0
Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces—0
A Deterministic Approximation to Neural SDEs—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Affine and Regional Dynamic Time Warpng—0
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients—0
Bayesian nonparametric sparse VAR models—0
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection—0
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network—0
Bayesian nonparametric shared multi-sequence time series segmentation—0
The amplitude modulation pattern of Gaussian noise is a fingerprint of Gaussianity—0
Detection of Anomalies in a Time Series Data using InfluxDB and Python—0
Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—0
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings—0
Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique—0
Detecting Slag Formations with Deep Convolutional Neural Networks—0
Bayesian LSTMs in medicine—0
An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images—0
Detecting Rough Volatility: A Filtering Approach—0
Detecting residues of cosmic events using residual neural network—0
Bayesian inference of natural selection from allele frequency time series—0
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
An Improvement of PAA on Trend-Based Approximation for Time Series—0
A Feature Selection Method for Multi-Dimension Time-Series Data—0
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models—0
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data—0
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model—0
Detecting Handwritten Mathematical Terms with Sensor Based Data—0
Detecting Gas Vapor Leaks Using Uncalibrated Sensors—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables—0
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving—0
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting—0
Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
Show:102550
← PrevPage 42 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