The 1st Workshop on “Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine" (VAA-CP-EB)
Many problems today in the fields of biomedicine and engineering involve huge amounts of data, a large number of variables and a high complexity of the underlying processes, with many factors influencing their behavior, facing common challenges in diagnosis, prognosis, estimation, anomaly detection, accurate and explainable modeling, timeseries and image analysis or knowledge discovery, just to mention a few.
The 1st Workshop on “Anomaly Detection in Unstructured Data" (ADUD)
Anomaly detection is one of the machine/deep learning techniques with the largest number of practical applications; for example, predictive maintenance, cybersecurity and fraud detection, to name a few. On the other hand, unstructured data (mainly text, images and video) has become the predominant data in terms of size and number of applications compared to structured data.