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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 2801–2850 of 6748 papers

TitleStatusHype
Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes—0
Modeling of Low Rank Time Series—0
Improving the spectral resolution of fMRI signals through the temporal de-correlation approach—0
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM—0
Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland -- the USA—0
Distributed Estimation of Sparse Inverse Covariances—0
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications—0
Deep Learning with Kernel Flow Regularization for Time Series Forecasting—0
High-dimensional regression with potential prior information on variable importanceCode0
A Wavelet Method for Panel Models with Jump Discontinuities in the ParametersCode0
Learning Predictive and Interpretable Timeseries Summaries from ICU Data—0
Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks—0
Analysis of chaotic dynamical systems with autoencoders—0
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series—0
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks—0
Personalized Online Machine Learning—0
Signal Classification using Smooth Coefficients of Multiple wavelets—0
Early and Revocable Time Series Classification—0
A new look at the anthropogenic global warming consensus: an econometric forecast based on the ARIMA model of paleoclimate series—0
Learning to Forecast Dynamical Systems from Streaming DataCode0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Modeling Regime Shifts in Multiple Time Series—0
SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver—0
Neural forecasting at scale—0
Topology, Convergence, and Reconstruction of Predictive States—0
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition—0
Change of human mobility during COVID-19: A United States case studyCode0
Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey—0
A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines—0
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba—0
Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation—0
Trading styles and long-run variance of asset prices—0
Machine learning methods for modelling and analysis of time series signals in geoinformatics—0
Universal Adversarial Attack on Deep Learning Based Prognostics—0
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series—0
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning—0
Multiple shooting with neural differential equations—0
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio ManagementCode0
Vaccination strategies and transmission of COVID-19: evidence across advanced countries—0
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams—0
Predicting the outcome of team movements -- Player time series analysis using fuzzy and deep methods for representation learning—0
Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks—0
Detecting Handwritten Mathematical Terms with Sensor Based Data—0
A Study of Joint Graph Inference and Forecasting—0
Detecting Attacks on IoT Devices using Featureless 1D-CNN—0
Object recognition for robotics from tactile time series data utilising different neural network architectures—0
Modeling Systems with Machine Learning based Differential Equations—0
Stationary Density Estimation of Itô Diffusions Using Deep Learning—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