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Showing 2801–2850 of 9169 papers

TitleStatusHype
Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices—0
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition—0
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field—0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting—0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
Deep Generative Methods for Producing Forecast Trajectories in Power Systems—0
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST—0
Early Churn Prediction from Large Scale User-Product Interaction Time Series—0
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis—0
Forecasting large collections of time series: feature-based methods—0
Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping—0
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs—0
MemDA: Forecasting Urban Time Series with Memory-based Drift AdaptationCode1
Local and Global Trend Bayesian Exponential Smoothing Models—0
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningCode1
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series ImagingCode1
Time-Series Forecasting: Unleashing Long-Term Dependencies with Fractionally Differenced Data—0
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
ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration PredictionCode0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data—0
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online EnsemblingCode1
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
Parallelizing non-linear sequential models over the sequence lengthCode1
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
Transformers versus LSTMs for electronic tradingCode1
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)—0
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series ForecastingCode1
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
Computation of Ultra-Short-Term Prediction Intervals of the Power Prosumption in Active Distribution Networks—0
Asteroids co-orbital motion classification based on Machine Learning—0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application—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
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring—0
Human Activity Segmentation Challenge @ ECML/PKDD’23Code1
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series DataCode0
Walking fingerprintingCode0
Learning Generative Models for Lumped Rainfall-Runoff ModelingCode0
Clustering of Urban Traffic Patterns by K-Means and Dynamic Time Warping: Case Study—0
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
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series—0
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