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 4951–5000 of 6748 papers

TitleStatusHype
A Formally Robust Time Series Distance Metric—0
A Fourier Transform Approach for Automatic Detection of Oysters Spawning—0
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns—0
A framework for anomaly detection using language modeling, and its applications to finance—0
A Framework for Evaluating the Impact of Food Security Scenarios—0
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 Clustering—0
A Frequency-Structure Approach for Link Stream Analysis—0
A Functional approach for Two Way Dimension Reduction in Time Series—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
A General Description of Growth Trends—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
A General Framework for Hypercomplex-valued Extreme Learning Machines—0
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
A General Method for Event Detection on Social Media—0
A Generative Modeling Approach to Limited Channel ECG Classification—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Agentic Retrieval-Augmented Generation for Time Series Analysis—0
A geometric analysis of nonlinear dynamics and its application to financial time series—0
A geometric approach to conditioning belief functions—0
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains—0
Aggregated Wasserstein Metric and State Registration for Hidden Markov Models—0
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories—0
A Goal-Based Movement Model for Continuous Multi-Agent Tasks—0
A Graph-constrained Changepoint Detection Approach for ECG Segmentation—0
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case—0
A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks—0
Agriculture Credit and Economic Growth in Bangladesh: A Time Series Analysis—0
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming—0
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting—0
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications—0
Log-PDE Methods for Rough Signature Kernels—0
A Hybrid Approach on Conditional GAN for Portfolio Analysis—0
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data—0
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction—0
A hybrid neuro--wavelet predictor for QoS control and stability—0
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting—0
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model—0
AI enabled RPM for Mental Health Facility—0
AI for trading strategies—0
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids—0
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification—0
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression—0
A Kalman Filter Framework for Resolving 3D Displacement Field Time Series By Combining Multitrack Multitemporal InSAR and GNSS Horizontal Velocities—0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—0
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting—0
A Lane-Changing Prediction Method Based on Temporal Convolution Network—0
A Langevin model for complex cardiological time series—0
A Latent Source Model for Nonparametric Time Series Classification—0
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks—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