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Showing 6451–6500 of 9169 papers

TitleStatusHype
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting—0
TODS: An Automated Time Series Outlier Detection SystemCode2
Forecasting time series with encoder-decoder neural networks—0
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial NetworksCode1
Tropical time series, iterated-sums signatures and quasisymmetric functionsCode0
Neural Rough Differential Equations for Long Time SeriesCode1
Time series forecasting with Gaussian Processes needs priorsCode1
Automatic deep learning for trend prediction in time series data—0
Indoor environment data time-series reconstruction using autoencoder neural networks—0
Simplicial persistence of financial markets: filtering, generative processes and portfolio risk—0
Time your hedge with Deep Reinforcement Learning—0
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTWCode0
An analysis of deep neural networks for predicting trends in time series data—0
TadGAN: Time Series Anomaly Detection Using Generative Adversarial NetworksCode2
Recent scaling properties of Bitcoin price returns—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion—0
Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns—0
Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction—0
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from DataCode1
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks—0
Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent—0
Accelerated solving of coupled, non-linear ODEs through LSTM-AI—0
Applications of Deep Neural Networks with KerasCode3
Spatio-Temporal Functional Neural Networks—0
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps—0
Factor-Driven Two-Regime RegressionCode0
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series—0
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series ClassificationCode1
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case—0
Deep Switching Auto-Regressive Factorization:Application to Time Series ForecastingCode1
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
Forecasting financial markets with semantic network analysis in the COVID-19 crisis—0
tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network StructureCode1
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting—0
Multivariable times series classification through an interpretable representation—0
Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield SpreadCode0
Deep Learning, Predictability, and Optimal Portfolio Returns—0
Spatio-Temporal Activation Function To Map Complex Dynamical Systems—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
COVID-19: Tail Risk and Predictive Regressions—0
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing—0
Multivariate Time-series Anomaly Detection via Graph Attention NetworkCode1
A Robust Score-Driven Filter for Multivariate Time Series—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
Weak error rates for option pricing under linear rough volatilityCode0
Travel time prediction for congested freeways with a dynamic linear model—0
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series—0
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting—0
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