Descrição
Terceira sessão de pôsteres
131.
Deep variational anomaly generation: an approach to testing molecular representation robustness
21/08/2023 14:00
Básica
Real-world datasets in various domains, ranging from telecommunications to healthcare, often contain anomalous or outlier data that deviate significantly from the norm. Before applying modeling techniques, it is essential to filter out these anomalies to ensure data quality. This requirement has led to the development of robust anomaly detection models that can be deployed for data cleaning or...