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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 3901–3950 of 6748 papers

TitleStatusHype
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method—0
Time-series modeling with undecimated fully convolutional neural networks—0
Time series modelling to forecast the confirmed and recovered cases of COVID-19—0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms—0
Trend-Following Strategies via Dynamic Momentum Learning—0
Time series numerical association rule mining variants in smart agriculture—0
Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition—0
Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology—0
tspDB: Time Series Predict DB—0
Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping—0
Time Series Prediction : Predicting Stock Price—0
Time Series Prediction using Deep Learning Methods in Healthcare—0
Time series quantile regression using random forests—0
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation—0
Time Series (re)sampling using Generative Adversarial Networks—0
Time Series Segmentation through Automatic Feature Learning—0
Time Series Simulation by Conditional Generative Adversarial Net—0
Time Series Source Separation with Slow Flows—0
Time Series Structure Discovery via Probabilistic Program Synthesis—0
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram—0
Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms—0
Time Series Topic Modeling and Bursty Topic Detection of Correlated News and Twitter—0
Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters—0
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations—0
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series—0
Times series averaging from a probabilistic interpretation of time-elastic kernel—0
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network—0
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods—0
Time-to-Green predictions for fully-actuated signal control systems with supervised learning—0
Time-Transformed Test for the Explosive Bubbles under Non-stationary Volatility—0
Dynamic Interpretable Change Point Detection—0
Time-Varying Dynamic Bayesian Networks—0
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models—0
Time-Varying Poisson Autoregression—0
Time-varying Signals Recovery via Graph Neural Networks—0
Time-varying volatility in Bitcoin market and information flow at minute-level frequency—0
Time-warped Trials—0
Time your hedge with Deep Reinforcement Learning—0
Timing Excess Returns A cross-universe approach to alpha—0
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT—0
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data—0
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data—0
Toeplitz Least Squares Problems, Fast Algorithms and Big Data—0
Tomography of time-dependent quantum spin networks with machine learning—0
Tool and Phase recognition using contextual CNN features—0
Topological Attention for Time Series Forecasting—0
Topological biomarkers for real-time detection of epileptic seizures—0
Topological Data Analysis in Text Classification: Extracting Features with Additive Information—0
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—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