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 2976–3000 of 6748 papers

TitleStatusHype
Deep Metric Learning Model for Imbalanced Fault Diagnosis—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks—0
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit—0
Multi-modal Affect Analysis using standardized data within subjects in the Wild—0
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts—0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification—0
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving—0
Gradient Importance Learning for Incomplete ObservationsCode0
Near-optimal inference in adaptive linear regression—0
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting—0
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
Clustering of Time Series Data with Prior Geographical Information—0
Data-driven mapping between functional connectomes using optimal transport—0
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors—0
Wavelet Analysis of Dengue Incidence and its Correlation with Weather and Vegetation Variables in Costa Rica—0
Visual Time Series Forecasting: An Image-driven Approach—0
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning—0
Explainable nonlinear modelling of multiple time series with invertible neural networks—0
Online learning of windmill time series using Long Short-term Cognitive Networks—0
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data—0
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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