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 66516700 of 6748 papers

TitleStatusHype
Multiscale Dubuc: A New Similarity Measure for Time SeriesCode0
Temporal Relational Ranking for Stock PredictionCode0
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative ModelsCode0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
Quantitative Tools for Time Series Analysis in Natural Language Processing: A Practitioners GuideCode0
A mathematical perspective on edge-centric brain functional connectivityCode0
A machine learning framework for computationally expensive transient modelsCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path SignatureCode0
(Quasi)Periodicity Quantification in Video Data, Using TopologyCode0
Temporal Stability in Predictive Process MonitoringCode0
A deep learning architecture to detect events in EEG signals during sleepCode0
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series ImputationCode0
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac SignalsCode0
Enhancing Identification of Structure Function of Academic Articles Using Contextual InformationCode0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Smart Data Representations: Impact on the Accuracy of Deep Neural NetworksCode0
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan RegionCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time WarpingCode0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
Raising the ClaSS of Streaming Time Series SegmentationCode0
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking EnvironmentCode0
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst DetectionCode0
Multi-Task Dynamical SystemsCode0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series DataCode0
Data-driven Perception of Neuron Point Process with Unknown UnknownsCode0
Time Series Modeling for Dream Team in Fantasy Premier LeagueCode0
Multi-Task Neural ProcessesCode0
A log-linear time algorithm for constrained changepoint detectionCode0
CCMI : Classifier based Conditional Mutual Information EstimationCode0
Adaptive-Halting Policy Network for Early ClassificationCode0
Using Multiple Instance Learning for Explainable Solar Flare PredictionCode0
End-to-End Learned Early Classification of Time Series for In-Season Crop Type MappingCode0
A toolkit for data-driven discovery of governing equations in high-noise regimesCode0
Random Pairwise Shapelets ForestCode0
Soft and subspace robust multivariate rank tests based on entropy regularized optimal transportCode0
Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation AnalysisCode0
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series ForecastingCode0
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single WordCode0
Multivariate Convolutional Sparse Coding for Electromagnetic Brain SignalsCode0
Algorithms for Learning Graphs in Financial MarketsCode0
Bayesian nonparametric discontinuity designCode0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Random Warping Series: A Random Features Method for Time-Series EmbeddingCode0
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time SeriesCode0
Accurate Uncertainties for Deep Learning Using Calibrated RegressionCode0
An Operator Theoretic Approach for Analyzing Sequence Neural NetworksCode0
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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