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 251–300 of 6748 papers

TitleStatusHype
Complex systems approach to natural language—0
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models—0
Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
Using deep neural networks to improve the precision of fast-sampled particle timing detectors—0
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following—0
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series ClassificationCode1
Personalized Pose Forecasting—0
MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts—0
An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments—0
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
A projected nonlinear state-space model for forecasting time series signalsCode0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria—0
Large Pre-trained time series models for cross-domain Time series analysis tasksCode1
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for CzechiaCode0
Time Scale Network: A Shallow Neural Network For Time Series Data—0
On the Opportunities of Green Computing: A Survey—0
Raising the ClaSS of Streaming Time Series SegmentationCode0
A Systematic Review for Transformer-based Long-term Series Forecasting—0
Triple Simplex Matrix Completion for Expense Forecasting—0
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesCode1
A Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisCode1
Unveiling Early Warning Signals of Systemic Risks in Banks: A Recurrence Network-Based Approach—0
Large Models for Time Series and Spatio-Temporal Data: A Survey and OutlookCode4
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing imagesCode1
A Survey of Feature Types and Their Contributions for Camera Tampering Detection—0
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs—0
TimeGPT-1Code4
Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review—0
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading—0
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter AveragingCode0
Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping—0
Predicting Temperature of Major Cities Using Machine Learning and Deep Learning—0
From Text to Trends: A Unique Garden Analytics Perspective on the Future of Modern Agriculture—0
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential ReconstructionCode1
ISLAND: Interpolating Land Surface Temperature using land coverCode0
A detection analysis for temporal memory patterns at different time-scales—0
Human Activity Segmentation Challenge @ ECML/PKDD’23Code1
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning—0
Market-GAN: Adding Control to Financial Market Data Generation with Semantic ContextCode1
Agriculture Credit and Economic Growth in Bangladesh: A Time Series Analysis—0
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
Time Series Analysis of Urban Liveability—0
Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing—0
Evaluating Explanation Methods for Multivariate Time Series ClassificationCode0
Hierarchical Time Series Forecasting with Bayesian Modeling—0
High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods—0
Path Signatures for Seizure 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