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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1301–1325 of 6748 papers

TitleStatusHype
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models—0
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide—0
Analysis of bio-electro-chemical signals from passive sweat-based wearable electro-impedance spectroscopy (EIS) towards assessing blood glucose modulations—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM—0
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series—0
A Survey on State-of-the-art Deep Learning Applications and Challenges—0
Analysis of bank leverage via dynamical systems and deep neural networks—0
A Survey of Feature Types and Their Contributions for Camera Tampering Detection—0
Analysis of Advisor Portfolio using Multivariate Time Series and Cosine Similarity—0
A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines—0
Time Series Analysis and Modeling to Forecast: a Survey—0
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—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 of Joint Graph Inference and Forecasting—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization—0
Capturing Evolution Genes for Time Series Data—0
A Study of Aggregation of Long Time-series Input for LSTM Neural Networks—0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach—0
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer—0
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package—0
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task—0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study—0
Show:102550
← PrevPage 53 of 270Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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