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

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Showing 1051–1100 of 6748 papers

TitleStatusHype
Automated data-driven approach for gap filling in the time series using evolutionary learningCode0
Adversarial Attacks on Deep Models for Financial Transaction RecordsCode0
Semi-supervised Sequence Modeling for Elastic Impedance InversionCode0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
AutoFITS: Automatic Feature Engineering for Irregular Time SeriesCode0
Implementing spectral methods for hidden Markov models with real-valued emissionsCode0
Inferring species interactions using Granger causality and convergent cross mappingCode0
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GANCode0
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic SystemsCode0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image ObservationsCode0
Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processesCode0
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the PastCode0
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different DimensionsCode0
Identifying cross country skiing techniques using power meters in ski polesCode0
Identifying Unique Causal Network from Nonstationary Time SeriesCode0
Imbedding Deep Neural NetworksCode0
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow recordsCode0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mappingCode0
An Empirical Analysis of how Internet Access Influences Public Opinion towards Undocumented Immigrants and Unaccompanied ChildrenCode0
Human Activity Recognition using Multi-Head CNN followed by LSTMCode0
Identification of Abnormal States in Videos of Ants Undergoing Social Phase ChangeCode0
Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returnsCode0
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shiftCode0
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series PredictionCode0
Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State InformationCode0
Highly Scalable and Provably Accurate Classification in Poincare BallsCode0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders PredictionCode0
High dimensional regression for regenerative time-series: an application to road traffic modelingCode0
High-dimensional regression with potential prior information on variable importanceCode0
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOpsCode0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Hide-and-Seek Privacy ChallengeCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Hierarchical Attention-Based Recurrent Highway Networks for Time Series PredictionCode0
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time seriesCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
Homological Time Series Analysis of Sensor Signals from Power PlantsCode0
An attention model to analyse the risk of agitation and urinary tract infections in people with dementiaCode0
Guidelines for Augmentation Selection in Contrastive Learning for Time Series ClassificationCode0
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 PandemicCode0
Attending to Emotional NarrativesCode0
Time-Series Event Prediction with Evolutionary State GraphCode0
Attaining entropy production and dissipation maps from Brownian movies via neural networksCode0
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge AggregationCode0
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal frameworkCode0
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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