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 3951–4000 of 6748 papers

TitleStatusHype
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models—0
Learning low-frequency temporal patterns for quantitative tradingCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Community recovery in non-binary and temporal stochastic block modelsCode0
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression—0
Spatiotemporal Attention for Multivariate Time Series Prediction and InterpretationCode0
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone—0
A Deep Learning Approach for COVID-19 Trend Prediction—0
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
Analysis of Thai Capital Market Linkages: Part I. Bivariate Copula ApproachCode0
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image SequencesCode0
Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions—0
Application of the Non-Hermitian Singular Spectrum Analysis to the exponential retrieval problem—0
Error Autocorrelation Objective Function for Improved System Modeling—0
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning—0
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention—0
Modeling of time series using random forests: theoretical developments—0
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation—0
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growthCode0
Remote atrial fibrillation burden estimation using deep recurrent neural network—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving ValidationCode0
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network—0
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction—0
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks—0
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their InteractionsCode0
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models—0
Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising ModelCode0
Structural Inference in Sparse High-Dimensional Vector Autoregressions—0
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks—0
Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing—0
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard AssessmentCode0
Perpetual Motion: Generating Unbounded Human Motion—0
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS—0
Regularized Flexible Activation Function Combinations for Deep Neural Networks—0
Benchmarking Multivariate Time Series Classification Algorithms—0
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning—0
Bid Prediction in Repeated Auctions with Learning—0
Graph Gamma Process Generalized Linear Dynamical SystemsCode0
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection—0
Multi-stream RNN for Merchant Transaction Prediction—0
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China—0
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using TwitterCode0
Multinomial Sampling for Hierarchical Change-Point Detection—0
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News—0
Hide-and-Seek Privacy ChallengeCode0
bootUR: An R Package for Bootstrap Unit Root Tests—0
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks—0
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children—0
Show:102550
← PrevPage 80 of 135Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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