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

Showing 901950 of 6748 papers

TitleStatusHype
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio EstimationCode1
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative TeacherCode1
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing imagesCode1
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning0
Anomalous volatility scaling in high frequency financial data0
A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergent Cross-Mapping and Non-Metric Clustering0
ANN Model to Predict Stock Prices at Stock Exchange Markets0
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic0
A Framework for Evaluating the Impact of Food Security Scenarios0
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case0
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation0
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads0
A framework for anomaly detection using language modeling, and its applications to finance0
An Investigation of the Structural Characteristics of the Indian IT Sector and the Capital Goods Sector: An Application of the R Programming in Time Series Decomposition and Forecasting0
An investigation of higher order moments of empirical financial data and the implications to risk0
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns0
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-190
An Introductory Study on Time Series Modeling and Forecasting0
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference0
A Fourier Transform Approach for Automatic Detection of Oysters Spawning0
A Formally Robust Time Series Distance Metric0
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data0
A Convolutional Neural Network Approach to Supernova Time-Series Classification0
An interpretable LSTM neural network for autoregressive exogenous model0
GeoStat Representations of Time Series for Fast Classification0
A First Option Calibration of the GARCH Diffusion Model by a PDE Method0
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series0
A first econometric analysis of the CRIX family0
Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering0
Canonical Time Warping for Alignment of Human Behavior0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development0
Affine and Regional Dynamic Time Warpng0
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization0
Can Agent-Based Models Probe Market Microstructure?0
An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images0
An Improvement of PAA on Trend-Based Approximation for Time Series0
A Feature Selection Method for Multi-Dimension Time-Series Data0
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables0
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection0
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series0
Can automated smoothing significantly improve benchmark time series classification algorithms?0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System0
An improved LogNNet classifier for IoT application0
A fast noise filtering algorithm for time series prediction using recurrent neural networks0
Animal behavior classification via deep learning on embedded systems0
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks0
A Fast Evidential Approach for Stock Forecasting0
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified