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 3051–3100 of 6748 papers

TitleStatusHype
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio—0
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data—0
Hierarchically Regularized Deep Forecasting—0
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification—0
Learning low-dimensional state embeddings and metastable clusters from time series data—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
Hierarchical Quickest Change Detection via Surrogates—0
Hierarchical regularization networks for sparsification based learning on noisy datasets—0
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?—0
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data—0
From Generalization Analysis to Optimization Designs for State Space Models—0
High Dimensional Forecasting via Interpretable Vector Autoregression—0
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis—0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting—0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions—0
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets—0
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series—0
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series—0
High-Dimensional Granger Causality for Climatic Attribution—0
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers—0
High-dimensional mixed-frequency IV regression—0
Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Arm order recognition in multi-armed bandit problem with laser chaos time series—0
A minor extension of the logistic equation for growth of word counts on online media: Parametric description of diversity of growth phenomena in society—0
High-dimensional Time Series Prediction with Missing Values—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
Higher-order Cross-structural Embedding Model for Time Series Analysis—0
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs—0
High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach—0
Free congruence: an exploration of expanded similarity measures for time series data—0
Computer activity learning from system call time series—0
FreDo: Frequency Domain-based Long-Term Time Series Forecasting—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
FRANS: Automatic Feature Extraction for Time Series Forecasting—0
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator—0
High-recall causal discovery for autocorrelated time series with latent confounders—0
Fractional trends and cycles in macroeconomic time series—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Compressive Nonparametric Graphical Model Selection For Time Series—0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis—0
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory—0
Fractional integration and cointegration—0
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting—0
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting—0
Comprehensive Time-Series Regression Models Using GRETL -- U.S. GDP and Government Consumption Expenditures & Gross Investment from 1980 to 2013—0
A metric to compare the anatomy variation between image time series—0
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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