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Showing 751–800 of 9169 papers

TitleStatusHype
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation—0
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification—0
Learned Compression of Nonlinear Time Series With Random AccessCode1
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Using matrix-product states for time-series machine learningCode1
Noisereduce: Domain General Noise Reduction for Time Series SignalsCode5
Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks—0
Enhancing Masked Time-Series Modeling via Dropping PatchesCode0
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting—0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine—0
Multivariate Rough Volatility—0
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting—0
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine LearningCode0
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder ArchitectureCode0
Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study—0
Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction—0
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification—0
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisCode1
GG-SSMs: Graph-Generating State Space Models—0
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting—0
Are Large Language Models Useful for Time Series Data Analysis?—0
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting—0
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series PredictionsCode0
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual DataCode2
Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation—0
Multimodal LLM for Intelligent Transportation Systems—0
Individual Bus Trip Chain Prediction and Pattern Identification Considering SimilaritiesCode0
TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and PredictionCode1
Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv Complexity and Its Application in Fault-Bearing Diagnosis—0
Missing data imputation for noisy time-series data and applications in healthcare—0
Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models—0
VAR models with an index structure: A survey with new results—0
Learning Latent Spaces for Domain Generalization in Time Series Forecasting—0
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism—0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
DUET: Dual Clustering Enhanced Multivariate Time Series ForecastingCode5
Upstream flow geometries can be uniquely learnt from single-point turbulence signatures—0
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series DataCode0
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems—0
Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors—0
Financial Fine-tuning a Large Time Series ModelCode2
Semi-Periodic Activation for Time Series ClassificationCode0
Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series DataCode0
Conformal Prediction on Quantifying Uncertainty of Dynamic Systems—0
Toward Foundation Model for Multivariate Wearable Sensing of Physiological SignalsCode1
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series ImageryCode0
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