Intelligent & Fuzzy: Machine learning for anomaly detection

The DroneML project aims to develop machine learning-based software that can rapidly screen multiple feature types, deal with vague and fuzzy anomalies, and work with multiple multimodal input layers simultaneously. Although coming from an archaeological perspective, the approach is intrinsically multidisciplinary and equally applicable to remote sensing approaches in e.g. forensic or medical contexts. The workshop will be oriented towards identifying shared issues, define them, collect perspectives on roads to solutions, and study DroneML as a case in point.

https://research-software-directory.org/projects/droneml