- Wildlife Ecology and Conservation
- Radioactivity and Radon Measurements
- Genetic and phenotypic traits in livestock
- Network Security and Intrusion Detection
- Species Distribution and Climate Change
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
Nanjing University of Aeronautics and Astronautics
2023
Cornell University
2020
Reconstruction-based approaches attract increasing attention in unsupervised visual anomaly detection. Such methods rely on the assumption that reconstruction models trained using only normal images are not well reconstructed for anomalous data, so regions can be identified by computing differences reconstructions. However, it's usually challenging to manage model's generalization boundaries practice. The model with a poor capability will produce additional image regions, while an overly...
A key problem in computational sustainability is to understand the distribution of species across landscapes over time. This question gives rise challenging large-scale prediction problems since (i) hundreds have be simultaneously modeled and (ii) survey data are usually inflated with zeros due absence for a large number sites. The tackling both issues simultaneously, which we refer as zero-inflated multi-target regression problem, has not been addressed by previous methods statistics...