Based Event

Based event analysis focuses on modeling and predicting the occurrence of events over time, considering both the timing of events and associated contextual information (covariates). Current research emphasizes developing sophisticated models, such as deep learning architectures (including Transformers and neural controlled differential equations) and improved temporal point processes, to enhance prediction accuracy and interpretability, particularly for complex, irregular event sequences and imbalanced datasets. These advancements have significant implications for various fields, including sports analytics, sensor data analysis, and the monitoring of complex systems, by enabling more accurate and efficient event detection and forecasting.