7 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data
Mir Imtiaz Mostafiz, Eunseob Kim, Adrian Shuai Li +3
Cutting state monitoring in the milling process is crucial for improving manufacturing efficiency and tool life. Cutting sound detection using machine learning (ML) models, inspire…
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
Adrian Shuai Li, Arun Iyengar, Ashish Kundu +1
In applying deep learning for malware classification, it is crucial to account for the prevalence of malware evolution, which can cause trained classifiers to fail on drifted malwa…
Transfer Learning for Security: Challenges and Future Directions
Adrian Shuai Li, Arun Iyengar, Ashish Kundu +1
Many machine learning and data mining algorithms rely on the assumption that the training and testing data share the same feature space and distribution. However, this assumption m…