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Showing 1026–1050 of 9169 papers

TitleStatusHype
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics—0
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky—0
State Estimation Using Sparse DEIM and Recurrent Neural Networks—0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast—0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode5
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
Dynamic Contrastive Learning for Time Series RepresentationCode0
Accelerated Sub-Image Search For Variable-Size Patches Identification Based On Virtual Time Series Transformation And Segmentation—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Science Time Series: Deep Learning in Hydrology—0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting—0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis—0
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online ApproximationCode0
UniMTS: Unified Pre-training for Motion Time SeriesCode1
TimeSeriesExam: A time series understanding examCode1
A GARCH model with two volatility components and two driving factorsCode0
On time series clustering with k-means—0
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting—0
ANT: Adaptive Noise Schedule for Time Series Diffusion ModelsCode1
On the Regularization of Learnable Embeddings for Time Series Processing—0
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