The paper benchmarks tree-based models (Random Forest, LightGBM, XGBoost) against deep learning (LSTM, CNN-LSTM, GRU, TFT) for hourly building electricity load forecasting, and demonstrates that ...
Abstract: Multi-view clustering methods based on deep matrix factorization play a vital role in data analysis within the healthcare sector. However, existing methods predominantly conduct deep matrix ...
Abstract: Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance. One of ...