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Time Series

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Showing 2251–2300 of 9169 papers

TitleStatusHype
Federated Time Series Generation on Feature and Temporally Misaligned Data—0
Exploring Capabilities of Time Series Foundation Models in Building Analytics—0
Temporal Streaming Batch Principal Component Analysis for Time Series Classification—0
Introducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode0
A Temporal Linear Network for Time Series ForecastingCode0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems—0
Deconfounding Time Series Forecasting—0
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting—0
Robust Time Series Causal Discovery for Agent-Based Model Validation—0
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images—0
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data—0
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal ModulationCode0
Generation of synthetic financial time series by diffusion models—0
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification—0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges—0
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting—0
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images—0
Self-Supervised Learning for Time Series: A Review & Critique of FITSCode0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
Fast and interpretable electricity consumption scenario generation for individual consumers—0
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations—0
Zeitenwenden: Detecting changes in the German political discourseCode0
Predicting Company Growth by Econophysics informed Machine Learning—0
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning—0
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation—0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky—0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
State Estimation Using Sparse DEIM and Recurrent Neural Networks—0
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Data Matters: The Case of Predicting Mobile Cellular TrafficCode0
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics—0
Accelerated Sub-Image Search For Variable-Size Patches Identification Based On Virtual Time Series Transformation And Segmentation—0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
Dynamic Contrastive Learning for Time Series RepresentationCode0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Science Time Series: Deep Learning in Hydrology—0
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning—0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting—0
On time series clustering with k-means—0
HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online ApproximationCode0
A GARCH model with two volatility components and two driving factorsCode0
On the Regularization of Learnable Embeddings for Time Series Processing—0
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power PredictionCode0
Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis—0
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time SeriesCode0
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