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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

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Showing 1701–1750 of 6748 papers

TitleStatusHype
Estimation of Shade Losses in Unlabeled PV Data—0
An Attention Free Long Short-Term Memory for Time Series Forecasting—0
The boosted HP filter is more general than you might think—0
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography—0
Quantifying How Hateful Communities Radicalize Online Users—0
Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series DataCode0
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs—0
DynaConF: Dynamic Forecasting of Non-Stationary Time SeriesCode0
A review of predictive uncertainty estimation with machine learning—0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data—0
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data—0
FRANS: Automatic Feature Extraction for Time Series Forecasting—0
Information Theoretic Measures of Causal Influences during Transient Neural Events—0
Out-of-Distribution Representation Learning for Time Series Classification—0
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description—0
Universal abundance fluctuations across microbial communities, tropical forests, and urban populations—0
Statistical Properties of the Entropy from Ordinal Patterns—0
Efficient learning of nonlinear prediction models with time-series privileged informationCode0
Time Series Prediction for Food sustainabilityCode0
Improving Accuracy and Explainability of Online Handwriting RecognitionCode0
Explainable AI for clinical and remote health applications: a survey on tabular and time series data—0
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System—0
Bioeconomic analysis of harvesting within a predator-prey system: A case study in the Chesapeake Bay fisheries—0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data—0
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning—0
Uncovering Regions of Maximum Dissimilarity on Random Process Data—0
A topological analysis of cointegrated data: a Z24 Bridge case study—0
Structured Recognition for Generative Models with Explaining AwayCode0
Modeling of Political Systems using Wasserstein Gradient Flows—0
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning—0
Fairness in Forecasting of Observations of Linear Dynamical SystemsCode0
A new hazard event classification model via deep learning and multifractal—0
Testing the martingale difference hypothesis in high dimension—0
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis—0
Deep Baseline Network for Time Series Modeling and Anomaly Detection—0
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder—0
Yes, DLGM! A novel hierarchical model for hazard classification—0
In-situ animal behavior classification using knowledge distillation and fixed-point quantization—0
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes—0
Valuing Players Over Time—0
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair—0
Reactmine: a statistical search algorithm for inferring chemical reactions from time series data—0
Modular Federated Learning—0
Causal discovery for time series with latent confoundersCode0
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach—0
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model—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