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Showing 3701–3750 of 9169 papers

TitleStatusHype
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST—0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting—0
Deep Generative Methods for Producing Forecast Trajectories in Power Systems—0
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field—0
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs—0
Forecasting large collections of time series: feature-based methods—0
Local and Global Trend Bayesian Exponential Smoothing Models—0
Early Churn Prediction from Large Scale User-Product Interaction Time Series—0
Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping—0
Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis—0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data—0
ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration PredictionCode0
Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research—0
Time-Series Forecasting: Unleashing Long-Term Dependencies with Fractionally Differenced Data—0
Global Deep Forecasting with Patient-Specific Pharmacokinetics—0
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population—0
Incremental Constrained Clustering by Minimal Weighted ModificationCode0
Graph-Based Permutation Patterns for the Analysis of Task-Related fMRI Signals on DTI Networks in Mild Cognitive Impairment—0
Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions—0
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains—0
A detection analysis for temporal memory patterns at different time-scales—0
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)—0
Asteroids co-orbital motion classification based on Machine Learning—0
Computation of Ultra-Short-Term Prediction Intervals of the Power Prosumption in Active Distribution Networks—0
Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies—0
Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization—0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application—0
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring—0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
Clustering of Urban Traffic Patterns by K-Means and Dynamic Time Warping: Case Study—0
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series DataCode0
Walking fingerprintingCode0
Learning Generative Models for Lumped Rainfall-Runoff ModelingCode0
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in BusinessesCode0
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing FlowsCode0
Extracting Interpretable Local and Global Representations from Attention on Time SeriesCode0
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection PerspectiveCode0
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series—0
Dynamic Time Warping for Lead-Lag Relationships in Lagged Multi-Factor Models—0
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques—0
Scalable Model-Based Gaussian Process Clustering—0
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning—0
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone—0
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme—0
Learning noise-induced transitions by multi-scaling reservoir computing—0
Real-time VaR Calculations for Crypto Derivatives in kdb+/q—0
Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias—0
Forecasted Treatment Effects—0
Examining the Effect of Pre-training on Time Series Classification—0
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