activity
20202026
most citedAssessing Risks of Biases in Cognitive Decision Support Systems

18 citations · 40 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2026

Biometric-enabled Personalized Augmentative and Alternative Communications

S. Yanushkevich, E. Berepiki, P. Ciunkiewicz +3

This study focuses on the roadmapping of biometric technologies onto personalized Augmentative and Alternative Communication (AAC), a branch of assistive technologies for people wi…

cs.HC2023

Intelligent Stress Assessment for e-Coaching

Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

This paper considers the adaptation of the e-coaching concept at times of emergencies and disasters, through aiding the e-coaching with intelligent tools for monitoring humans' aff…

cs.CV2022★ 2 cited

Fairness on Synthetic Visual and Thermal Mask Images

Kenneth Lai, Vlad Shmerko, Svetlana Yanushkevich

In this paper, we study performance and fairness on visual and thermal images and expand the assessment to masked synthetic images. Using the SpeakingFace and Thermal-Mask dataset,…

cs.CV2022★ 1 cited

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…

eess.SP2021

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…

cs.CV2020

Reliability of Decision Support in Cross-spectral Biometric-enabled Systems

Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko

This paper addresses the evaluation of the performance of the decision support system that utilizes face and facial expression biometrics. The evaluation criteria include risk of e…

cs.CY2020★ 18 cited

Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support

Kenneth Lai, Helder C. R. Oliveira, Ming Hou +2

Biometrics and biometric-enabled decision support systems (DSS) have become a mandatory part of complex dynamic systems such as security checkpoints, personal health monitoring sys…

cs.AI2020★ 1 cited

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…

cs.CV2020★ 18 cited

Assessing Risks of Biases in Cognitive Decision Support Systems

Kenneth Lai, Helder C. R. Oliveira, Ming Hou +2

Recognizing, assessing, countering, and mitigating the biases of different nature from heterogeneous sources is a critical problem in designing a cognitive Decision Support System…

cs.CV2020

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…

cs.CV2020

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…