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 5351–5400 of 6748 papers

TitleStatusHype
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread—0
A Stochastic Time Series Model for Predicting Financial Trends using NLP—0
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task—0
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer—0
A Study of Aggregation of Long Time-series Input for LSTM Neural Networks—0
A Study of Joint Graph Inference and Forecasting—0
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach—0
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning—0
A Survey of Feature Types and Their Contributions for Camera Tampering Detection—0
A Survey on State-of-the-art Deep Learning Applications and Challenges—0
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide—0
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models—0
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series—0
A Comparative Analysis of Machine Learning and Grey Models—0
A Survey on Time-Series Distance Measures—0
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas—0
A symbolic information approach to characterize response-related differences in cortical activity during a Go/No-Go task—0
Asymmetric Distributions from Constrained Mixtures—0
Asymmetric excitation of left- and right-tail extreme events probed using a Hawkes model: application to financial returns—0
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces—0
Asymptotic nonparametric statistical analysis of stationary time series—0
Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions—0
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters—0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data—0
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification—0
A Systematic Review for Transformer-based Long-term Series Forecasting—0
A tail dependence-based MST and their topological indicators in modelling systemic risk in the European insurance sector—0
A Tale of Tail Covariances (and Diversified Tails)—0
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency—0
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers—0
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding—0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives—0
A textual transform of multivariate time-series for prognostics—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 Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
A Time Series Analysis of Emotional Loading in Central Bank Statements—0
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
A Time Series Approach To Player Churn and Conversion in Videogames—0
A Time Series Data Analysis of Indian Commercial Dynamism—0
A time series distance measure for efficient clustering of input output signals by their underlying dynamics—0
A Time-Series Distribution Test System Based on Real Utility Data—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning—0
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning—0
AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets—0
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting—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