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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2251–2300 of 6748 papers

TitleStatusHype
An Evaluation of Classification Methods for 3D Printing Time-Series Data—0
Automatic time-series phenotyping using massive feature extraction—0
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
Automatic Synthesis of Neurons for Recurrent Neural Nets—0
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field—0
Deep Neural Networks on EEG signals to predict Attention Score using Gramian Angular Difference Field—0
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Automatic Stockpile Volume Monitoring using Multi-view Stereo from SkySat Imagery—0
An Evaluation of Classification and Outlier Detection Algorithms—0
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL—0
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems—0
Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning—0
Deep Neural Models of Semantic Shift—0
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone—0
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings—0
Deep multi-survey classification of variable stars—0
Deep Multimodal Representation Learning from Temporal Data—0
Automatic Registration and Clustering of Time Series—0
A Neural Stochastic Volatility Model—0
Deep Multimodal Learning: An Effective Method for Video Classification—0
Deep MR Fingerprinting with total-variation and low-rank subspace priors—0
DeepMoTIon: Learning to Navigate Like Humans—0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals—0
Automatic Generation of Student Report Cards—0
Automatic Generation of Probabilistic Programming from Time Series Data—0
Deep Learning with Long Short-Term Memory for Time Series Prediction—0
Deep Learning with Kernel Flow Regularization for Time Series Forecasting—0
Automatic Forecasting via Meta-Learning—0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices—0
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces—0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series—0
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves—0
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
On model selection for scalable time series forecasting in transport networks—0
Deep Learning to Attend to Risk in ICU—0
Automatic estimation of heading date of paddy rice using deep learning—0
A Neural Implementation of the Kalman Filter—0
Deep Learning, Predictability, and Optimal Portfolio Returns—0
Deep learning of contagion dynamics on complex networks—0
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality—0
An Euler-based GAN for time series—0
Deep-Learning Inversion of Seismic Data—0
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning—0
Deep Learning in Multiple Multistep Time Series Prediction—0
Deep Learning in Asset Pricing—0
Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach—0
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data—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