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 57515800 of 6748 papers

TitleStatusHype
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning0
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series0
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic ControlsCode0
Online Forecasting Matrix Factorization0
Towards dense object tracking in a 2D honeybee hiveCode0
Dropout Feature Ranking for Deep Learning ModelsCode0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity0
Multi-task learning of time series and its application to the travel demand0
Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data0
Multi-dimensional Graph Fourier Transform0
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with TrendCode0
Lost in Time: Temporal Analytics for Long-Term Video Surveillance0
Contemporary machine learning: a guide for practitioners in the physical sciences0
Multi-shot Pedestrian Re-identification via Sequential Decision Making0
A Shapelet Transform for Multivariate Time Series Classification0
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things0
Accurate Inference for Adaptive Linear ModelsCode0
Dynamic Weight Alignment for Temporal Convolutional Neural Networks0
Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions0
Experimental design trade-offs for gene regulatory network inference: an in silico study of the yeast Saccharomyces cerevisiae cell cycle0
Spatial-temporal wind field prediction by Artificial Neural Networks0
Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation AnalysisCode0
Temporal Stability in Predictive Process MonitoringCode0
Long-Range Correlation Underlying Childhood Language and Generative Models0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
Comparative analysis of criteria for filtering time series of word usage frequencies0
Learning User Intent from Action Sequences on Interactive Systems0
Temporal Attention augmented Bilinear Network for Financial Time-Series Data AnalysisCode0
TrueSkill Through Time: Revisiting the History of ChessCode0
YASS: Yet Another Spike SorterCode0
Random Projection Filter Bank for Time Series Data0
Dynamic-Depth Context Tree Weighting0
Practical Data-Dependent Metric Compression with Provable Guarantees0
Subset Selection and Summarization in Sequential Data0
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories0
Discriminative State Space Models0
Preventing Gradient Explosions in Gated Recurrent Units0
Multivariate Time Series Classification with WEASEL+MUSECode0
A Neural Stochastic Volatility Model0
A Multi-Horizon Quantile Recurrent ForecasterCode0
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings0
OSTSC: Over Sampling for Time Series Classification in R0
Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for Day and Night Air Pollution in Silesia Region: A Critical Overview0
Warped-Linear Models for Time Series Classification0
Random matrix approach to estimation of high-dimensional factor models0
Variational Encoding of Complex DynamicsCode0
An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series0
Show:102550
← PrevPage 116 of 135Next →

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