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

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Showing 1601–1650 of 6748 papers

TitleStatusHype
Currency exchange prediction using machine learning, genetic algorithms and technical analysis—0
Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals—0
Deep learning for ψ-weakly dependent processes—0
Curriculum Learning in Deep Neural Networks for Financial Forecasting—0
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition—0
Cyclical Electromechanical Error Denial System Using Matrix Profile—0
Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors—0
D2KE: From Distance to Kernel and Embedding—0
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation—0
Daily Middle-Term Probabilistic Forecasting of Power Consumption in North-East England—0
Learning low-dimensional state embeddings and metastable clusters from time series data—0
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
DANTE: A framework for mining and monitoring darknet traffic—0
Darts: User-Friendly Modern Machine Learning for Time Series—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform—0
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation—0
Data Augmentation for Multivariate Time Series Classification: An Experimental Study—0
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram—0
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
A Deep Structural Model for Analyzing Correlated Multivariate Time Series—0
Data Curves Clustering Using Common Patterns Detection—0
Data-driven Air Quality Characterisation for Urban Environments: a Case Study—0
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems—0
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection—0
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting—0
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data—0
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework—0
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks—0
Data-driven forecasting of solar irradiance—0
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals—0
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks—0
Data-Driven Learning of the Number of States in Multi-State Autoregressive Models—0
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System—0
Data-driven mapping between functional connectomes using optimal transport—0
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data—0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting—0
Deep learning for structural health monitoring: An application to heritage structures—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
Deep-Learning Inversion of Seismic Data—0
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps—0
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models—0
DeepMoTIon: Learning to Navigate Like Humans—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