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 58515900 of 6748 papers

TitleStatusHype
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mappingCode0
Non-Stationary Spectral KernelsCode0
Distributed and parallel time series feature extraction for industrial big data applicationsCode0
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive LearningCode0
Regime recovery using implied volatility in Markov modulated market modelCode0
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge DistillationCode0
Tropical time series, iterated-sums signatures and quasisymmetric functionsCode0
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOpsCode0
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer InterfacesCode0
TrueSkill Through Time: Revisiting the History of ChessCode0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
Accurate Inference for Adaptive Linear ModelsCode0
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in RCode0
Black box variational inference for state space modelsCode0
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical CareCode0
Specific Differential Entropy Rate Estimation for Continuous-Valued Time SeriesCode0
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing FlowsCode0
Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionCode0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records DataCode0
Investigating Enhancements to Contrastive Predictive Coding for Human Activity RecognitionCode0
Investigating Recurrent Neural Network Memory Structures using Neuro-EvolutionCode0
Regulating Greed Over Time in Multi-Armed BanditsCode0
Bioluminescence modeling for deep sea experimentsCode0
A Joint-Entropy Approach To Time-series ClassificationCode0
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral EnhancementCode0
Reinforcement Learning for Portfolio ManagementCode0
Nowcasting NetworksCode0
Work-in-progress: a deep learning strategy for I/O scheduling in storage systemsCode0
Spectral learning of Bernoulli linear dynamical systems modelsCode0
Spectral Processing of COVID-19 Time-Series DataCode0
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal DynamicsCode0
Discrete signature and its application to financeCode0
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical SeriesCode0
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time seriesCode0
ISLAND: Interpolating Land Surface Temperature using land coverCode0
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality AssessmentCode0
Cross-Camera Human Motion Transfer by Time Series AnalysisCode0
Biologically-Motivated Deep Learning Method using Hierarchical Competitive LearningCode0
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-SeriesCode0
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationshipsCode0
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series ObservationsCode0
CRAD: Clustering with Robust Autocuts and DepthCode0
Observational and Interventional Causal Learning for Regret-Minimizing ControlCode0
A Critical Review of Recurrent Neural Networks for Sequence LearningCode0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
Hierarchical Attention-Based Recurrent Highway Networks for Time Series PredictionCode0
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV FeedbackCode0
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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