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 3401–3450 of 6748 papers

TitleStatusHype
Feature space approximation for kernel-based supervised learningCode0
Deep Sequence Learning for Accurate Gestational Age Estimation from a \$25 Doppler Device—0
Asymmetric excitation of left- and right-tail extreme events probed using a Hawkes model: application to financial returns—0
RTFN: A Robust Temporal Feature Network for Time Series Classification—0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal LearningCode1
Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels—0
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines—0
Discovering Hidden Physics Behind Transport Dynamics—0
Marginalised Spectral Mixture Kernels with Nested Sampling—0
Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations—0
Remaining Useful Life Estimation Under Uncertainty with Causal GraphNetsCode1
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time IntervalsCode1
Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting—0
Time Series Data Imputation: A Survey on Deep Learning Approaches—0
Predictive maintenance on event logs: Application on an ATM fleet—0
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting—0
Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization—0
Continuous Ant-Based Neural Topology Search—0
Quickest Detection of COVID-19 Pandemic Onset—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release—0
Two-Step Meta-Learning for Time-Series Forecasting Ensemble—0
A Two-Way Transformed Factor Model for Matrix-Variate Time Series—0
Distributional uncertainty of the financial time series measured by G-expectation—0
Visual Time Series Forecasting: An Image-driven Approach—0
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records DataCode0
Improved Grey System Models for Predicting Traffic Parameters—0
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks—0
Wavelet-based clustering for time-series trend detection—0
Distributed Online Learning with Multiple Kernels—0
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering—0
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease—0
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks—0
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach—0
Transfer learning of chaotic systems—0
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion—0
Discovering long term dependencies in noisy time series data using deep learningCode0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Non-stationary Online Regression—0
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks—0
Solving high-dimensional parameter inference: marginal posterior densities & Moment NetworksCode1
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems—0
Energy consumption forecasting using a stacked nonparametric Bayesian approach—0
Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis—0
Testing and Dating Structural Changes in Copula-based Dependence Measures—0
Forecasting and Analyzing the Military Expenditure of India Using Box-Jenkins ARIMA Model—0
A Soft Computing Approach for Selecting and Combining Spectral Bands—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
ATCN: Resource-Efficient Processing of Time Series on EdgeCode0
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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