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Showing 1301–1350 of 9169 papers

TitleStatusHype
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series ForecastersCode3
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
MPADA: Open source framework for multimodal time series antenna array measurementsCode0
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series ClassificationCode1
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and GenerationCode0
On-device AI: Quantization-aware Training of Transformers in Time-Series—0
Real-Time Energy Pricing in New Zealand: An Evolving Stream AnalysisCode0
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
Trading with Time Series Causal Discovery: An Empirical StudyCode1
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series ForecastingCode0
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models—0
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive ImpairmentCode0
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You NeedCode1
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification ApproachCode0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—0
Can Transformers Do Enumerative Geometry?Code0
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series—0
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures—0
Interactive dense pixel visualizations for time series and model attribution explanations—0
Consistent diffusion matrix estimation from population time seriesCode0
Modeling the Dynamics of Growth in Master-Planned CommunitiesCode0
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning—0
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing—0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
Integrated Modeling and Forecasting of Electric Vehicles Charging Profiles Based on Real Data—0
GeoPlant: Spatial Plant Species Prediction Dataset—0
Time Series Analysis for Education: Methods, Applications, and Future DirectionsCode1
Differentially Private Publication of Electricity Time Series Data in Smart Grids—0
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming—0
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings—0
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation—0
Causal Hierarchy in the Financial Market Network -- Uncovered by the Helmholtz-Hodge-Kodaira Decomposition—0
Robust Predictions with Ambiguous Time Delays: A Bootstrap StrategyCode0
ml_edm package: a Python toolkit for Machine Learning based Early Decision MakingCode1
A Comparison of Deep Learning and Established Methods for Calf Behaviour MonitoringCode0
Event Detection via Probability Density Function RegressionCode0
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological AnalysisCode1
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis—0
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series ForecastingCode0
Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations—0
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification—0
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach—0
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction—0
Multi-Knowledge Fusion Network for Time Series Representation Learning—0
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features—0
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning—0
SPORTSCausal: Spill-Over Time Series Causal Inference—0
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting—0
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