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Showing 6651–6700 of 9169 papers

TitleStatusHype
Transient Classification in low SNR Gravitational Wave data using Deep Learning—0
Gated Res2Net for Multivariate Time Series AnalysisCode0
Forecasting time series with encoder-decoder neural networks—0
Explainable boosted linear regression for time series forecasting—0
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting—0
Tropical time series, iterated-sums signatures and quasisymmetric functionsCode0
Automatic deep learning for trend prediction in time series data—0
Indoor environment data time-series reconstruction using autoencoder neural networks—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
Simplicial persistence of financial markets: filtering, generative processes and portfolio risk—0
Time your hedge with Deep Reinforcement Learning—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
Recent scaling properties of Bitcoin price returns—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
Spatio-Temporal Functional Neural Networks—0
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps—0
Accelerated solving of coupled, non-linear ODEs through LSTM-AI—0
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
Factor-Driven Two-Regime RegressionCode0
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series—0
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case—0
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
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
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Spatio-Temporal Activation Function To Map Complex Dynamical Systems—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
A Robust Score-Driven Filter for Multivariate Time Series—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series—0
Weak error rates for option pricing under linear rough volatilityCode0
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting—0
Travel time prediction for congested freeways with a dynamic linear model—0
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales—0
The Computational Capacity of LRC, Memristive and Hybrid Reservoirs—0
Effects of Correlated Noise on the Performance of Persistence Based Dynamic State Detection Methods—0
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform—0
Benchmarking adversarial attacks and defenses for time-series data—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Fast Partial Fourier Transform—0
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningCode0
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