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Showing 1951–2000 of 9169 papers

TitleStatusHype
T-Graphormer: Using Transformers for Spatiotemporal ForecastingCode0
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting—0
Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA—0
A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-SpreadingCode0
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction—0
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers—0
Investigating Market Strength Prediction with CNNs on Candlestick Chart Images—0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions—0
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism—0
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks—0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Unsupervised Learning in Echo State Networks for Input Reconstruction—0
Crossing penalised CAViaR—0
The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning—0
SpaceTime: Causal Discovery from Non-Stationary Time Series—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series ClassificationCode0
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference—0
Transformer-based Multivariate Time Series Anomaly Localization—0
Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning—0
CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
The Response of Farmer Welfares Amidst Food Prices Shock and Inflation in the Province of East Java—0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via—0
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching—0
Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series ClassificationCode0
Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation—0
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin—0
TempoGPT: Enhancing Temporal Reasoning via Quantizing EmbeddingCode0
Follow the Leader: Enhancing Systematic Trend-Following Using Network Momentum—0
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation—0
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series DataCode0
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis—0
Unveiling the Potential of Text in High-Dimensional Time Series ForecastingCode0
The Utility of Hyperplane Angle Metric in Detecting Financial Concept DriftCode0
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks—0
Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants. Application to wastewater samples (ANRS0160)Code0
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
Using Pre-trained LLMs for Multivariate Time Series Forecasting—0
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks—0
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection—0
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning—0
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts—0
Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration—0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
DCIts -- Deep Convolutional Interpreter for time seriesCode0
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
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