Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecastingby Fanpu Cao, Shu Yang,…
Graph Similarity Computation via Interpretable Neural Node Alignmentby Jingjing Wang, Hongjie Zhu, Haoran Xie, Fu…
A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph…
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention modelby Jiajiang Shen,…
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South Americaby Daniel…
Enhanced N-BEATS for Mid-Term Electricity Demand Forecastingby Mateusz Kasprzyk, Paweł Pełka, Boris N. Oreshkin, Grzegorz…
Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniquesby…
How Much Can Time-related Features Enhance Time Series Forecasting?by Chaolv Zeng, Yuan Tian, Guanjie Zheng,…
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing databy Bo Pang, Sibo Cheng,…
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysisby Ahmad Mohammadshirazi, Ali Nosratifiroozsalari, Rajiv RamnathFirst…