1 citations · 2 across the 5 of their papers we have counts for
5 papers
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%
Leonardo Queiroz, Kenneth Lai, Svetlana Yanushkevich +1
In this study of the face recognition on masked versus unmasked faces generated using Flickr-Faces-HQ and SpeakingFaces datasets, we report 36.78% degradation of recognition perfor…
Counter-Epidemiological Projections of e-Coaching
Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko
This paper considers e-coaching at times of pandemic. It utilizes the Emergency Management Cycle (EMC), a core doctrine for managing disasters. The EMC dimensions provide a useful…
On the Gap between Epidemiological Surveillance and Preparedness
Svetlana Yanushkevich, Vlad Shmerko
Contemporary Epidemiological Surveillance (ES) relies heavily on data analytics. These analytics are critical input for pandemics preparedness networks; however, this input is not…
Risk Assessment in the Face-based Watchlist Screening in e-Border
Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders. The key task of the watchlist technology is to…
Emerging Biometrics: Deep Inference and Other Computational Intelligence
Svetlana Yanushkevich, Shawn Eastwood, Kenneth Lai +1
This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled sys…