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Time Series

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Showing 2001–2025 of 9169 papers

TitleStatusHype
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Learning DAGs and Root Causes from Time-Series Data—0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecastingCode0
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences—0
Re-examining Granger Causality from Causal Bayesian Networks Perspective—0
Identifying the Hidden Nexus between Benford Law Establishment in Stock Market and Market Efficiency: An Empirical Investigation—0
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features—0
Multivariate Time Series Anomaly Detection using DiffGAN ModelCode0
Time Series Language Model for Descriptive Caption Generation—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series GenerationCode0
RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data—0
CORAL: Concept Drift Representation Learning for Co-evolving Time-series—0
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis—0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Unsupervised learning for anticipating critical transitions—0
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting ModelsCode0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis—0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Evaluating Time Series Foundation Models on Noisy Periodic Time Series—0
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation—0
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting—0
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework—0
AverageTime: Enhance Long-Term Time Series Forecasting with Simple AveragingCode0
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