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Showing 551–575 of 9169 papers

TitleStatusHype
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia—0
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting—0
Harnessing Vision Models for Time Series Analysis: A SurveyCode2
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal NarrativeCode1
GenIAS: Generator for Instantiating Anomalies in time Series—0
HDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode1
Two-stage hybrid models for enhancing forecasting accuracy on heterogeneous time series—0
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting—0
MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time seriesCode1
Exploring Patterns Behind Sports—0
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs—0
Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based AlgorithmCode0
Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond PromptingCode1
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series ForecastingCode2
Structure-preserving contrastive learning for spatial time seriesCode0
Investigating Compositional Reasoning in Time Series Foundation Models—0
Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models—0
Flow-based Conformal Prediction for Multi-dimensional Time Series—0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction—0
Time Series Analysis of Rankings: A GARCH-Type Approach—0
Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform V2—0
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements—0
On the importance of structural identifiability for machine learning with partially observed dynamical systemsCode0
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