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 2576–2600 of 6748 papers

TitleStatusHype
Numerical approximation of hybrid Poisson-jump Ait-Sahalia-type interest rate model with delay—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
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationCode1
Keiki: Towards Realistic Danmaku Generation via Sequential GANsCode1
Multi-modal Affect Analysis using standardized data within subjects in the Wild—0
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market OpportunitiesCode1
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts—0
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification—0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting—0
Near-optimal inference in adaptive linear regression—0
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving—0
Gradient Importance Learning for Incomplete ObservationsCode0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality—0
Spatiotemporal information conversion machine for time-series predictionCode1
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
Clustering of Time Series Data with Prior Geographical Information—0
Wavelet Analysis of Dengue Incidence and its Correlation with Weather and Vegetation Variables in Costa Rica—0
Online Metro Origin-Destination Prediction via Heterogeneous Information AggregationCode1
Visual Time Series Forecasting: An Image-driven Approach—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
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data—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