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Showing 2501–2550 of 9169 papers

TitleStatusHype
Advancing Financial Forecasting: A Comparative Analysis of Neural Forecasting Models N-HiTS and N-BEATS—0
Improving Time Series Classification with Representation Soft Label Smoothing—0
MPADA: Open source framework for multimodal time series antenna array measurementsCode0
Real-Time Energy Pricing in New Zealand: An Evolving Stream AnalysisCode0
On-device AI: Quantization-aware Training of Transformers in Time-Series—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models—0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and GenerationCode0
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series ForecastingCode0
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive ImpairmentCode0
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models—0
Interactive dense pixel visualizations for time series and model attribution explanations—0
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification ApproachCode0
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series—0
Can Transformers Do Enumerative Geometry?Code0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—0
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures—0
Consistent diffusion matrix estimation from population time seriesCode0
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing—0
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
Modeling the Dynamics of Growth in Master-Planned CommunitiesCode0
Integrated Modeling and Forecasting of Electric Vehicles Charging Profiles Based on Real Data—0
GeoPlant: Spatial Plant Species Prediction Dataset—0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—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
Differentially Private Publication of Electricity Time Series Data in Smart Grids—0
Causal Hierarchy in the Financial Market Network -- Uncovered by the Helmholtz-Hodge-Kodaira Decomposition—0
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation—0
A Comparison of Deep Learning and Established Methods for Calf Behaviour MonitoringCode0
Robust Predictions with Ambiguous Time Delays: A Bootstrap StrategyCode0
Event Detection via Probability Density Function RegressionCode0
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features—0
Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations—0
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification—0
Multi-Knowledge Fusion Network for Time Series Representation Learning—0
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning—0
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach—0
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series ForecastingCode0
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction—0
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis—0
Correlation Analysis of Adversarial Attack in Time Series Classification—0
QuaCK-TSF: Quantum-Classical Kernelized Time Series ForecastingCode0
SPORTSCausal: Spill-Over Time Series Causal Inference—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction—0
Learning Deep Dissipative DynamicsCode0
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting—0
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series—0
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