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

Showing 18011850 of 6748 papers

TitleStatusHype
Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine LearningCode0
Dynamic Virtual Graph Significance Networks for Predicting InfluenzaCode0
Dynamic process fault prediction using canonical variable trend analysisCode0
Step Counting with Attention-based LSTMCode0
ST-LSTM: A Deep Learning Approach Combined Spatio-Temporal Features for Short-TermCode0
Stochastic embeddings of dynamical phenomena through variational autoencodersCode0
Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesCode0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one MapsCode0
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence ModelCode0
Dynamic Natural Language Processing with Recurrence Quantification AnalysisCode0
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking EnvironmentCode0
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge SolutionCode0
Deep Learning MacroeconomicsCode0
Approximate Factor Models for Functional Time SeriesCode0
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path SignatureCode0
Adversarial Constraint Learning for Structured PredictionCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Streaming Variational Monte CarloCode0
Dynamic cyber risk estimation with Competitive Quantile AutoregressionCode0
A genetic algorithm to discover flexible motifs with supportCode0
Elastic Similarity and Distance Measures for Multivariate Time SeriesCode0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural NetworksCode0
BRITS: Bidirectional Recurrent Imputation for Time SeriesCode0
Deep Markov Spatio-Temporal FactorizationCode0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Dropout Feature Ranking for Deep Learning ModelsCode0
Switching Autoregressive Low-rank Tensor ModelsCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme DiscoveryCode0
Deep Multi-View Spatial-Temporal Network for Taxi Demand PredictionCode0
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time SeriesCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
BreizhCrops: A Time Series Dataset for Crop Type MappingCode0
Tailoring Artificial Neural Networks for Optimal LearningCode0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
BrazilDAM: A Benchmark dataset for Tailings Dam DetectionCode0
Automatic Segmentation of the Placenta in BOLD MRI Time SeriesCode0
Domain Adaptation with Representation Learning and Nonlinear Relation for Time SeriesCode0
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopyCode0
The interplay of robustness and generalization in quantum machine learningCode0
Deep Normed Embeddings for Patient RepresentationCode0
Deep Particulate Matter Forecasting Model Using Correntropy-Induced LossCode0
Distributional conformal predictionCode0
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South AfricaCode0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
Anomaly detection in the dynamics of web and social networksCode0
Show:102550
← PrevPage 37 of 135Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified