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Showing 651–700 of 9169 papers

TitleStatusHype
SpaceTime: Causal Discovery from Non-Stationary Time Series—0
The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark DatasetCode1
Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series ClassificationCode0
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
CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting—0
Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning—0
Transformer-based Multivariate Time Series Anomaly Localization—0
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference—0
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching—0
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin—0
Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation—0
Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series ClassificationCode0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via—0
Follow the Leader: Enhancing Systematic Trend-Following Using Network Momentum—0
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis—0
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation—0
Unveiling the Potential of Text in High-Dimensional Time Series ForecastingCode0
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series DataCode0
TempoGPT: Enhancing Temporal Reasoning via Quantizing EmbeddingCode0
The Utility of Hyperplane Angle Metric in Detecting Financial Concept DriftCode0
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
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks—0
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks—0
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning—0
Using Pre-trained LLMs for Multivariate Time Series Forecasting—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection—0
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts—0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration—0
Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationCode1
DCIts -- Deep Convolutional Interpreter for time seriesCode0
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic PredictionCode0
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecastingCode0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences—0
Learning DAGs and Root Causes from Time-Series Data—0
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple FeaturesCode3
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
Re-examining Granger Causality from Causal Bayesian Networks Perspective—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series GenerationCode0
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