Scientific Research Publishing

Potwora, M., Vdovichena, O., Semchuk, D., Lipych, L., & Saienko, V. (2024). The Use of Artificial Intelligence in Marketing Strategies: Automation, Personalization and ...

has been cited by the following article: TITLE: Navigating Integration Challenges and Ethical Considerations of AI in E-Commerce: A Framework for Best Practices and Customer Trust ...
IEEE

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling

Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
IEEE

Transformer-PLM Enhanced Multimodal Time Series Forecasting via Decoupled Dual-Temporal Graph Adaptation

Abstract: With the proliferation of multimodal data in real-world applications, integrating time series with auxiliary modalities has become critical for accurate forecasting. Although Transformers ...