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 10011050 of 6748 papers

TitleStatusHype
Deep State Inference: Toward Behavioral Model Inference of Black-box Software SystemsCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Inferring Multidimensional Rates of Aging from Cross-Sectional DataCode0
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series PredictionCode0
Autoregressive Convolutional Neural Networks for Asynchronous Time SeriesCode0
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLCode0
Gradient Importance Learning for Incomplete ObservationsCode0
Inferring network connectivity from event timing patternsCode0
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time seriesCode0
Autonomous Deep Quality Monitoring in Streaming EnvironmentsCode0
Benchmarking optimality of time series classification methods in distinguishing diffusionsCode0
Benchmarking time series classification -- Functional data vs machine learning approachesCode0
Improving Accuracy and Explainability of Online Handwriting RecognitionCode0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South AfricaCode0
Adversarial Generation of Time-Frequency Features with application in audio synthesisCode0
Implementing spectral methods for hidden Markov models with real-valued emissionsCode0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
Automatic Segmentation of the Placenta in BOLD MRI Time SeriesCode0
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical FeaturesCode0
Improving COVID-19 Forecasting using eXogenous VariablesCode0
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GANCode0
Imbedding Deep Neural NetworksCode0
Automatic Health Problem Detection from Gait Videos Using Deep Neural NetworksCode0
Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processesCode0
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image ObservationsCode0
Identifying cross country skiing techniques using power meters in ski polesCode0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Identifying Unique Causal Network from Nonstationary Time SeriesCode0
Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returnsCode0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
Adversarial Constraint Learning for Structured PredictionCode0
A Complex Systems Approach To Feature Extraction for Chaotic Behavior RecognitionCode0
Human Activity Recognition using Multi-Head CNN followed by LSTMCode0
Identification of Abnormal States in Videos of Ants Undergoing Social Phase ChangeCode0
Automatic Construction and Natural-Language Description of Nonparametric Regression ModelsCode0
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific FeaturesCode0
Automatic Anomaly Detection in the Cloud Via Statistical LearningCode0
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline SummarizationCode0
An ensemble neural network approach to forecast Dengue outbreak based on climatic conditionCode0
Highly Scalable and Provably Accurate Classification in Poincare BallsCode0
Homological Time Series Analysis of Sensor Signals from Power PlantsCode0
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the PastCode0
ISLAND: Interpolating Land Surface Temperature using land coverCode0
Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained EnvironmentsCode0
Hierarchical Attention-Based Recurrent Highway Networks for Time Series PredictionCode0
Hide-and-Seek Privacy ChallengeCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
Adversarial Attacks on Deep Neural Networks for Time Series ClassificationCode0
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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