114 citations · 253 across the 32 of their papers we have counts for
19 papers · 1 filter
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei +7
The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in genera…
Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt
Kenneth Lai, Svetlana N. Yanushkevich
Assessment of risks of pandemics to communities and workplaces requires an intelligent decision support system (DSS). The core of such DSS must be based on machine reasoning techni…
Decision Support for Video-based Detection of Flu Symptoms
Kenneth Lai, Svetlana N. Yanushkevich
The development of decision support systems is a growing domain that can be applied in the area of disease control and diagnostics. Using video-based surveillance data, skeleton fe…
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…
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana Yanushkevich
The focus of this paper is dynamic gesture recognition in the context of the interaction between humans and machines. We propose a model consisting of two sub-networks, a transform…
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…
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…
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
Thomas Truong, Jonathan Graf, Svetlana Yanushkevich
Uni-modal identification systems are vulnerable to errors in sensor data collection and are therefore more likely to misidentify subjects. For instance, relying on data solely from…
Generative Adversarial Network for Radar Signal Generation
Thomas Truong, Svetlana Yanushkevich
A major obstacle in radar based methods for concealed object detection on humans and seamless integration into security and access control system is the difficulty in collecting hi…
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…
Information Fusion on Belief Networks
Shawn C. Eastwood, Svetlana N. Yanushkevich
This paper will focus on the process of 'fusing' several observations or models of uncertainty into a single resultant model. Many existing approaches to fusion use subjective quan…
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
Kenneth Lai, Svetlana N. Yanushkevich
In this paper, we aim to address the problem of heterogeneous or cross-spectral face recognition using machine learning to synthesize visual spectrum face from infrared images. The…
Dog Identification using Soft Biometrics and Neural Networks
Kenneth Lai, Xinyuan Tu, Svetlana Yanushkevich
This paper addresses the problem of biometric identification of animals, specifically dogs. We apply advanced machine learning models such as deep neural network on the photographs…
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana N. Yanushkevich
Human activity and gesture recognition is an important component of rapidly growing domain of ambient intelligence, in particular in assisting living and smart homes. In this paper…
Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy
K. Lai, S. N. Yanushkevich
This paper addresses the facial biometric-enabled watchlist technology in which risk detectors are mandatory mechanisms for early detection of threats, as well as for avoiding offe…
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…
Multi-Spectral Facial Biometrics in Access Control
K. Lai, S. Samoil, S. N. Yanushkevich
This study demonstrates how facial biometrics, acquired using multi-spectral sensors, such as RGB, depth, and infrared, assist the data accumulation in the process of authorizing u…
Relatable Clothing: Detecting Visual Relationships between People and Clothing
Thomas Truong, Svetlana Yanushkevich
Detecting visual relationships between people and clothing in an image has been a relatively unexplored problem in the field of computer vision and biometrics. The lack readily ava…
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…