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 3751–3800 of 6748 papers

TitleStatusHype
Anomaly Detection for Multivariate Time Series of Exotic Supernovae—0
Model selection in reconciling hierarchical time seriesCode0
A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine—0
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data—0
Sampling Theory of Bandlimited Continuous-Time Graph Signals—0
Estimating and backtesting risk under heavy tails—0
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell CultivationCode0
Variational Dynamic Mixtures—0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation—0
A semi-supervised autoencoder framework for joint generation and classification of breathing—0
The use of scaling properties to detect relevant changes in financial time series: a new visual warning tool—0
Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk—0
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19—0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time SeriesCode0
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series—0
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations—0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
Improved Predictive Deep Temporal Neural Networks with Trend Filtering—0
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning—0
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables—0
Short-term Wind Speed Forecasting based on LSSVM Optimized by Elitist QPSO—0
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network—0
Graph Deep Factors for Forecasting—0
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection—0
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data—0
Stochastic embeddings of dynamical phenomena through variational autoencodersCode0
A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price—0
Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control—0
Unfolding recurrence by Green's functions for optimized reservoir computing—0
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment—0
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
Early Abandoning PrunedDTW and its application to similarity searchCode0
Interpretable Neural Networks for Panel Data Analysis in Economics—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges—0
Structured Self-Attention Weights Encode Semantics in Sentiment AnalysisCode0
Downsampling and geometric feature methods for EEG classification tasks with CNNs—0
Asset Price Forecasting using Recurrent Neural NetworksCode0
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis—0
Bifurcation Analysis using Zigzag Persistence—0
Explainable Framework for Time-series Analysis via Topological Data Analysis—0
Deep Reinforcement Learning for Asset Allocation in US Equities—0
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis—0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy—0
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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