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 65516600 of 6748 papers

TitleStatusHype
Monotonic Gaussian Process FlowCode0
Monte Carlo EM for Deep Time Series Anomaly DetectionCode0
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow recordsCode0
Evaluating Impact of Social Media Posts by Executives on Stock PricesCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Signature-based models: theory and calibrationCode0
Mosaic organization of DNA nucleotidesCode0
Evaluating generation of chaotic time series by convolutional generative adversarial networksCode0
Deep Generative Networks For Sequence PredictionCode0
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time WarpingCode0
Temporal Convolutional Neural Network for the Classification of Satellite Image Time SeriesCode0
Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State InformationCode0
A Distance for HMMs based on Aggregated Wasserstein Metric and State RegistrationCode0
Evaluating Explanation Methods for Multivariate Time Series ClassificationCode0
Evaluating data augmentation for financial time series classificationCode0
Classification of multivariate weakly-labelled time-series with attentionCode0
Time Series Forecasting Using LSTM Networks: A Symbolic ApproachCode0
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical AnalysisCode0
Similarity-based Feature Extraction for Large-scale Sparse Traffic ForecastingCode0
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange ResidualCode0
Classification and Feature Transformation with Fuzzy Cognitive MapsCode0
EuroGames16: Evaluating Change Detection in Online ConversationCode0
Community recovery in non-binary and temporal stochastic block modelsCode0
Estimation of Large Covariance and Precision Matrices from Temporally Dependent ObservationsCode0
Estimating Vector Fields from Noisy Time SeriesCode0
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noiseCode0
Deep Generative Markov State ModelsCode0
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series ClassificationCode0
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for CzechiaCode0
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders PredictionCode0
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with TrendCode0
Time Series Forecasting via Learning Convolutionally Low-Rank ModelsCode0
Provably Accurate and Scalable Linear Classifiers in Hyperbolic SpacesCode0
Similarity measure for sparse time course data based on Gaussian processesCode0
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment RecognitionCode0
Deep Forecast: Deep Learning-based Spatio-Temporal ForecastingCode0
Attending to Emotional NarrativesCode0
Citation Sentiment Changes AnalysisCode0
Pruned Wasserstein Index Generation Model and wigpy PackageCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional NetworksCode0
A CNN adapted to time series for the classification of SupernovaeCode0
Attaining entropy production and dissipation maps from Brownian movies via neural networksCode0
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio ManagementCode0
Deep Direct Discriminative Decoders for High-dimensional Time-series Data AnalysisCode0
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsCode0
A Model of the Fed's View on InflationCode0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility informationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
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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