专题:Forecasting Techniques and Applications

This cluster of papers focuses on advances in time series forecasting methods, including topics such as exponential smoothing, machine learning techniques, expert judgment, inventory management, demand forecasting, neural networks, and forecast combination.
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Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation

article Full Text OpenAlex

Compact transformer variants for synthetic time series forecasting

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From rule to intelligence: a review of algorithmic heuristics in fashion retailing

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Can simple models predict football — and beat the odds? Lessons from the German Bundesliga

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Application of the Sugeno-Takagi-Kang Fuzzy Logic Model as a Decision Support System with a Mathematical Approach for Managing Uncertainty in Supply Chain for the Demand Forecasting: Proposal of a Fuzzy Time Series Forecasting Model (FTS)

book-chapter Full Text OpenAlex

An evaluation of estimative uncertainty in large language models

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Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search

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DLDSS: Dual-Layered Decision Support System for Retail Recommendation

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Ciclo Entropico Generativo (CEG): formalizzazione operativa, settore di vuoto efficace (CEV) e criteri di falsificazione multi-sonda

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Enhancing Time Series Forecasting Accuracy through Hybrid ARIMA–MLP Integration: A Case Study on E-Bicycle Sales

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近5年高被引文献
Generative Adversarial Nets

book-chapter Full Text OpenAlex 19841 FWCI27974.0855

Forecasting: theory and practice

article Full Text OpenAlex 770 FWCI125.0199

Machine learning techniques and data for stock market forecasting: A literature review

review Full Text OpenAlex 457 FWCI74.2676

M5 accuracy competition: Results, findings, and conclusions

article Full Text OpenAlex 408 FWCI60.5645

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models

article Full Text OpenAlex 343 FWCI0

The Acceptable R-Square in Empirical Modelling for Social Science Research

book-chapter Full Text OpenAlex 328 FWCI358.9038

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

article Full Text OpenAlex 303 FWCI38.8359

Stock market index prediction using deep Transformer model

article Full Text OpenAlex 293 FWCI45.6771

A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks

review Full Text OpenAlex 286 FWCI73.21

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

review Full Text OpenAlex 278 FWCI44.1795