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Time Series

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Showing 1001–1050 of 9169 papers

TitleStatusHype
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data—0
Robust Time Series Causal Discovery for Agent-Based Model Validation—0
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time SeriesCode2
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal ModulationCode0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges—0
Large Language Models for Financial Aid in Financial Time-series ForecastingCode1
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended VersionCode1
Generation of synthetic financial time series by diffusion models—0
Retrieval-Augmented Diffusion Models for Time Series ForecastingCode2
Context is Key: A Benchmark for Forecasting with Essential Textual InformationCode2
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images—0
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting—0
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification—0
Fast and interpretable electricity consumption scenario generation for individual consumers—0
Predicting Company Growth by Econophysics informed Machine Learning—0
Zeitenwenden: Detecting changes in the German political discourseCode0
Self-Supervised Learning for Time Series: A Review & Critique of FITSCode0
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations—0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation—0
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode2
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series ForecastingCode1
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning—0
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series ForecastingCode1
Data Matters: The Case of Predicting Mobile Cellular TrafficCode0
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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