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Code Code Available 5 Experimental study of time series forecasting methods for groundwater level prediction Sep 28, 2022 Management Time Series
Code Code Available 5 Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting Oct 3, 2024 Contrastive Learning Denoising
Code Code Available 5 Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Jul 6, 2020 Graph Neural Network Time Series
Code Code Available 5 Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models May 4, 2023 Few-Shot Learning Graph Clustering
Code Code Available 5 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting Oct 28, 2024 Time Series Time Series Forecasting
Code Code Available 5 EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data Jul 6, 2021 Change Point Detection Data Augmentation
Code Code Available 5 Evaluating time series forecasting models: An empirical study on performance estimation methods May 28, 2019 Time Series Time Series Analysis
Code Code Available 5 Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting Apr 29, 2024 Time Series Time Series Forecasting
Code Code Available 5 Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variables Dec 23, 2023 Time Series Time Series Forecasting
Code Code Available 5 Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting Mar 31, 2025 Anomaly Detection Multivariate Time Series Forecasting
Code Code Available 5 Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights Feb 27, 2025 Time Series Time Series Forecasting
Code Code Available 5 A Framework for Imbalanced Time-series Forecasting Jul 22, 2021 Time Series Time Series Analysis
Code Code Available 5 Koopman Ensembles for Probabilistic Time Series Forecasting Mar 11, 2024 Probabilistic Time Series Forecasting Time Series
Code Code Available 5 Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting Oct 8, 2024 Multivariate Time Series Forecasting Time Series
Code Code Available 5 Port-Hamiltonian Approach to Neural Network Training Sep 6, 2019 Time Series Forecasting
Code Code Available 5 Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis May 5, 2019 Time Series Time Series Analysis
Code Code Available 5 Human in the Loop Adaptive Optimization for Improved Time Series Forecasting May 21, 2025 Language Modeling Language Modelling
Code Code Available 5 Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study Mar 17, 2025 Time Series Forecasting
— Unverified 0 Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting Jun 10, 2020 Tensor Decomposition Time Series
— Unverified 0 CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction May 19, 2025 Time Series Time Series Forecasting
— Unverified 0 Ensembles of Randomized NNs for Pattern-based Time Series Forecasting Jul 8, 2021 Diversity Time Series
— Unverified 0 A novel stochastic model based on echo state networks for hydrological time series forecasting Oct 16, 2021 Management Network Embedding
— Unverified 0 Forecasting Cardiology Admissions from Catheterization Laboratory Dec 28, 2018 Management Time Series
— Unverified 0 Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting Apr 21, 2023 Time Series Time Series Forecasting
— Unverified 0 CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting Feb 5, 2025 Decision Making Time Series
— Unverified 0 A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009 Aug 10, 2023 Causal Inference Time Series
— Unverified 0 Enhancing Time Series Forecasting via Logic-Inspired Regularization Mar 10, 2025 Time Series Time Series Forecasting
— Unverified 0 Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers May 11, 2025 Time Series Time Series Forecasting
— Unverified 0 Can time series forecasting be automated? A benchmark and analysis Jul 23, 2024 Benchmarking Decision Making
— Unverified 0 Enhancing Project Performance Forecasting using Machine Learning Techniques Nov 26, 2024 Time Series Forecasting
— Unverified 0 Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research Sep 23, 2023 AutoML Time Series
— Unverified 0 Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling Mar 1, 2024 Multivariate Time Series Forecasting Time Series
— Unverified 0 Can Local Representation Alignment RNNs Solve Temporal Tasks? Apr 18, 2025 Anomaly Detection Time Series Forecasting
— Unverified 0 A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine Oct 20, 2020 Clustering Time Series
— Unverified 0 A federated large language model for long-term time series forecasting Jul 30, 2024 Language Modeling Language Modelling
— Unverified 0 Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model Jul 15, 2024 energy trading feature selection
— Unverified 0 Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks Jul 15, 2024 Time Series Time Series Forecasting
— Unverified 0 Can LLMs Serve As Time Series Anomaly Detectors? Aug 6, 2024 Anomaly Detection In-Context Learning
— Unverified 0 Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment May 19, 2025 cross-modal alignment Time Series
— Unverified 0 Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization Dec 6, 2024 Time Series Time Series Forecasting
— Unverified 0 Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting? Apr 14, 2025 Time Series Time Series Forecasting
— Unverified 0 A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices Apr 23, 2025 Time Series Forecasting
— Unverified 0 Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation Jun 17, 2025 Drift Detection Feature Engineering
— Unverified 0 Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models Feb 9, 2025 Large Language Model RAG
— Unverified 0 Enhancing Financial Data Visualization for Investment Decision-Making Dec 9, 2023 Data Visualization Decision Making
— Unverified 0 Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference Sep 6, 2023 Point Processes Time Series
— Unverified 0 A Novel Distributed PV Power Forecasting Approach Based on Time-LLM Mar 8, 2025 Large Language Model Scheduling
— Unverified 0 Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding May 19, 2025 Time Series Time Series Forecasting
— Unverified 0 Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction Jun 11, 2025 Data Integration Diabetes Prediction
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