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ORCIDSvetlana N. Yanushkevich
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2020 – today
- 2024
[j39]Masood Mehmood Khan
, Sharon Smart, Hans Bogaardt, Junaid Ahmed Zubairi, Svetlana N. Yanushkevich:
Design of a Portable Device: Toward Assisting in Tongue-Strengthening Exercises and Dysphagia Management. IEEE Access 12: 84893-84906 (2024)- [j38]Olha Shaposhnyk, Kenneth Lai, Gregor Wolbring, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Next Generation Computing and Communication Hub for First Responders in Smart Cities. Sensors 24(7): 2366 (2024) - [j37]Thomas Truong, Svetlana N. Yanushkevich:
Visual Relationship Detection for Workplace Safety Applications. IEEE Trans. Artif. Intell. 5(2): 956-961 (2024) - [j36]Jordan Vice, Masood Mehmood Khan, Tele Tan, Iain Murray, Svetlana N. Yanushkevich:
A Hierarchical Separation and Classification Network for Dynamic Microexpression Classification. IEEE Trans. Comput. Soc. Syst. 11(3): 3766-3779 (2024) - [c112]Noor Abid, Liam Pond, Svetlana N. Yanushkevich:
Causality Exploration in Modeling Engineering Student Satisfaction. EDUCON 2024: 1-10 - [c111]Kenneth Lai, Gregor Wolbring, Svetlana N. Yanushkevich:
Causal Inference in Deep Learning Forecasting: A Bayesian Approach to Analyzing the Relationship between Employment Rate and Immigration. IJCNN 2024: 1-8 - 2023
- [j35]Kenneth Lai, Leonardo Queiroz, Vlad P. Shmerko, Kelly W. Sundberg, Svetlana N. Yanushkevich:
Post-Pandemic Follow-Up Audit of Security Checkpoints. IEEE Access 11: 7599-7616 (2023) - [j34]Peter Shmerko, Yumi Iwashita, Adrian Stoica, Svetlana N. Yanushkevich:
Stress Contagion Protocols for Human and Autonomous Robot Teams. Trans. Comput. Sci. 40: 6-25 (2023) - [j33]Soheil Zabihi, Elahe Rahimian, Amir Asif, Svetlana N. Yanushkevich, Arash Mohammadi:
Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces. Trans. Comput. Sci. 40: 48-65 (2023) - [j32]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Fairness, Bias and Trust in the Context of Biometric-Enabled Autonomous Decision Support. Trans. Comput. Sci. 40: 66-87 (2023) - [c110]Olha Shaposhnyk, Svetlana N. Yanushkevich, Vitalii Babenko, Maksym Chernykh, Ievgen Nastenko:
Inferring Cognitive Load Level from Physiological and Personality Traits. IDT 2023: 233-242 - [c109]Behnaz Jafari, Kenneth Lai, Svetlana N. Yanushkevich:
Investigating Association and Causal Relationships between Physiological Signals and Affective State. IDT 2023: 243-250 - [c108]Peter Shmerko, Svetlana N. Yanushkevich, Marek A. Perkowski, Yumi Iwashita, Adrian Stoica:
Discovering Emerging Applications of Multi-Valued Logic: Protocols for Human-Autonomy Teaming. ISMVL 2023: 209-214 - [c107]Jui-Teng Ho, Gee-Sern Hsu, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Outline Generation Transformer for Bilingual Scene Text Recognition. MVA 2023: 1-5 - [c106]Mackenzie Wallich, Kenneth Lai, Svetlana N. Yanushkevich:
Assessing Upper Limb Motor Function in the Immediate Post-Stroke Period using Accelerometry. SMC 2023: 215-220 - [c105]Philip Ciunkiewicz, Svetlana N. Yanushkevich:
Decision Support Component for the Localized Epidemiological Modelling of COVID-19. SSCI 2023: 759-764 - [c104]Kenneth Lai, Mohammed Almekhlafi, Svetlana N. Yanushkevich:
After-Stroke Arm Paresis Detection Using Kinematic Data. SSCI 2023: 1032-1037 - [c103]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Intelligent Stress Assessment for e-Coaching. SSCI 2023: 1638-1643 - [c102]Kenneth Lai, Svetlana N. Yanushkevich:
Causal Models Applied to the Patterns of Human Migration due to Climate Change. SSCI 2023: 1644-1649 - [c101]Olha Shaposhnyk, Svetlana N. Yanushkevich:
Integration of Structural Equation Models and Bayesian Networks for Cognitive Load Modeling. SSCI 2023: 1650-1655 - [c100]Daria Zahorska, Vitalii Babenko, Maksym Chernykh, Ievgen Nastenko, Olha Shaposhnyk, Svetlana N. Yanushkevich:
Unraveling Body Vitals as Traumatic Event-Caused Stress Indicators. SSCI 2023: 1656-1661 - [c99]Illia Yankovyi, Olha Shaposhnyk, Svetlana N. Yanushkevich, MacKenzie Horn, Mohammed Almekhlafi:
Computational Intelligence Driven Motor Function Assessment in Post-Stroke Patients. SSCI 2023: 1662-1667 - [i30]Rahat Islam, Kenneth Lai, Svetlana N. Yanushkevich:
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense. CoRR abs/2311.00767 (2023) - [i29]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Intelligent Stress Assessment for e-Coaching. CoRR abs/2311.03385 (2023) - [i28]Mackenzie Wallich, Kenneth Lai, Svetlana N. Yanushkevich:
Assessing Upper Limb Motor Function in the Immediate Post-Stroke Perioud Using Accelerometry. CoRR abs/2311.04226 (2023) - [i27]Kenneth Lai, Svetlana N. Yanushkevich:
Causal Models Applied to the Patterns of Human Migration due to Climate Change. CoRR abs/2311.14686 (2023) - [i26]Kenneth Lai, Mohammed Almekhlafi, Svetlana N. Yanushkevich:
After-Stroke Arm Paresis Detection using Kinematic Data. CoRR abs/2311.16138 (2023) - 2022
- [j31]Xingdong Cao, Kenneth Lai, Gee-Sern Jison Hsu, Michael R. Smith, Svetlana N. Yanushkevich:
Cross-Spectrum Thermal Face Pattern Generator. IEEE Access 10: 9576-9586 (2022) - [j30]Gee-Sern Jison Hsu, Hung-Yi Wu, Chun-Hung Tsai, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Masked Face Recognition From Synthesis to Reality. IEEE Access 10: 37938-37952 (2022) - [j29]Philip Ciunkiewicz, W. Brooke, M. Rogers, Svetlana N. Yanushkevich:
Agent-based epidemiological modeling of COVID-19 in localized environments. Comput. Biol. Medicine 144: 105396 (2022) - [c98]Anita Garland, Helder Oliveira, Svetlana N. Yanushkevich, Katrin Smith, Jeremie Bourqui, Elise C. Fear, Sarah Quirk, Michael Roumeliotis, Petra Grendarova, James Pinilla, Mark Lesiuk, Alison Gourley:
Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated Tissue. CIBCB 2022: 1-8 - [c97]Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Mohammed Almekhlafi:
Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks. CIBCB 2022: 1-8 - [c96]Kenneth Lai, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Face Biometric Fairness Evaluation on Real vs Synthetic Cross-Spectral Images. CogMI 2022: 101-106 - [c95]Jordan Vice, Masood Mehmood Khan, Iain Murray, Svetlana N. Yanushkevich:
Adaptive Classification of Occluded Facial Expressions of Affective States. EAIS 2022: 1-8 - [c94]Jordan Vice, Masood Mehmood Khan, Tele Tan, Svetlana N. Yanushkevich:
Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability. EAIS 2022: 1-8 - [c93]Sudarsini Tekkam Gnanasekar, Olha Shaposhnyk, Illia Yankovyi, Svetlana N. Yanushkevich:
Brief Audit of Post-pandemic Biometrics. ICPR Workshops (3) 2022: 610-626 - [c92]Noor Abid, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Audit of Computational Intelligence Techniques for EDI-aware Systems. IJCNN 2022: 1-8 - [c91]Philip Ciunkiewicz, Svetlana N. Yanushkevich, Michael Roumeliotis, Kailyn Stenhouse, Philip McGeachy, Sarah Quirk, Petra Grendarova:
Improved Design of Bayesian Networks for Modelling Toxicity Risk in Breast Radiotherapy using Dynamic Discretization. IJCNN 2022: 1-8 - [c90]Rahat Islam, Kenneth Lai, Svetlana N. Yanushkevich:
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense. IJCNN 2022: 1-8 - [c89]Helder Cesar Rodigues de Oliveira, Haaziq Altaf, Mohammed Almekhlafi, Svetlana N. Yanushkevich:
Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients. SSCI 2022: 551-558 - [c88]Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich, Nynke J. Van den Hoogen, Tuan Trang:
Rodent Tracking and Abnormal Behavior Classification in Live Video using Deep Neural Networks. SSCI 2022: 830-837 - [i25]Leonardo Queiroz, Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%. CoRR abs/2201.00461 (2022) - [i24]Kenneth Lai, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Fairness on Synthetic Visual and Thermal Mask Images. CoRR abs/2209.08762 (2022) - [i23]Peter Shmerko, Yumi Iwashita, Adrian Stoica, Svetlana N. Yanushkevich:
Stress Propagation in Human-Robot Teams Based on Computational Logic Model. CoRR abs/2211.04056 (2022) - [i22]Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Svetlana N. Yanushkevich, Arash Mohammadi:
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains. CoRR abs/2212.00743 (2022) - 2021
- [j28]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Intelligent Stress Monitoring Assistant for First Responders. IEEE Access 9: 25314-25329 (2021) - [j27]Marina L. Gavrilova, Gee-Sern Hsu, Khalid Saeed, Svetlana N. Yanushkevich:
IEEE Access Special Section Editorial: Intelligent Biometric Systems for Secure Societies. IEEE Access 9: 71418-71421 (2021) - [j26]Thomas Truong, Svetlana N. Yanushkevich:
Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects. IEEE Access 9: 108782-108792 (2021) - [j25]Xingdong Cao, Kenneth Lai, Michael R. Smith, Svetlana N. Yanushkevich:
Adversarial and adaptive tone mapping operator: multi-scheme generation and multi-metric evaluation. J. Electronic Imaging 30(4) (2021) - [j24]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko, Ming Hou:
Capturing causality and bias in human action recognition. Pattern Recognit. Lett. 147: 164-171 (2021) - [j23]Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. 38(5): 37-66 (2021) - [c87]Aakash Bhatt, Thomas Truong, Svetlana N. Yanushkevich, Mohammed Almekhlafi:
Body Pose Analysis using CNN and Pressure Sensor Array Data. BHI 2021: 1-4 - [c86]Leonardo Queiroz, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich:
Thermal-Mask - A Dataset for Facial Mask Detection and Breathing Rate Measurement. IDT 2021: 142-151 - [c85]Aakash Bhatt, Nitya Shah, MacKenzie Horn, Sahil Bhatt, Svetlana N. Yanushkevich, Mohammed Almekhlafi:
Assessment of Post-Stroke Motor Function Weakness using Pressure Sensor Data. SSCI 2021: 1-7 - [c84]Divyansh Goyal, Netra Patel, Thomas Truong, Svetlana N. Yanushkevich:
Towards Explainable Person Re- Identification. SSCI 2021: 1-8 - [c83]Helder Cesar Rodigues de Oliveira, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship. SSCI 2021: 1-8 - [i21]Ziyi Liu, Jie Yang, Mengchen Lin, Kenneth Kam Fai Lai, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range. CoRR abs/2101.03826 (2021) - [i20]Jie Yang, Ziyi Liu, Mengchen Lin, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
Deep Reformulated Laplacian Tone Mapping. CoRR abs/2102.00348 (2021) - 2020
- [j22]Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. IEEE Access 8: 148779-148792 (2020) - [c82]Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Assessing Risks of Biases in Cognitive Decision Support Systems. EUSIPCO 2020: 840-844 - [c81]Thomas Truong, Svetlana N. Yanushkevich:
Relatable Clothing: Detecting Visual Relationships between People and Clothing. ICPR 2020: 4070-4076 - [c80]Gee-Sern Jison Hsu, Chia-Hao Tang, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Contrastive Data Learning for Facial Pose and Illumination Normalization. ICPR 2020: 8336-8343 - [c79]Kenneth Lai, Svetlana N. Yanushkevich:
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition. IJCNN 2020: 1-7 - [c78]Svetlana N. Yanushkevich, Adrian Stoica, Peter Shmerko, W. Gareth J. Howells, Keeley A. Crockett, Richard M. Guest:
Cognitive Identity Management: Synthetic Data, Risk and Trust. IJCNN 2020: 1-8 - [c77]Kenneth Lai, Svetlana N. Yanushkevich:
Decision Support for Video-based Detection of Flu Symptoms. SMC 2020: 868-874 - [c76]Thomas Truong, Aakash Bhatt, Leonardo Queiroz, Kenneth Lai, Svetlana N. Yanushkevich:
Instance Segmentation of Personal Protective Equipment using a Multi-stage Transfer Learning Process. SMC 2020: 1181-1186 - [c75]Leonardo Queiroz, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Reed Ferber:
Video-Based Breathing Rate Monitoring in Sleeping Subjects. SMC 2020: 2458-2464 - [c74]Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk:
A Tripartite Theory of Trustworthiness for Autonomous Systems. SMC 2020: 3375-3380 - [c73]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Reliability of Decision Support in Cross-spectral Biometric-enabled Systems. SMC 2020: 3401-3406 - [c72]Thomas Truong, Dhyey Lalseta, Ryan Ittyipe, Svetlana N. Yanushkevich:
Detecting Proper Mask Usage with Soft Attention. SSCI 2020: 1745-1750 - [c71]Xingdong Cao, Kenneth Lai, Svetlana N. Yanushkevich, Michael R. Smith:
Adversarial and Adaptive Tone Mapping Operator for High Dynamic Range Images. SSCI 2020: 1814-1821 - [c70]Thomas Truong, Svetlana N. Yanushkevich:
Detecting Subject-Weapon Visual Relationships. SSCI 2020: 2047-2052 - [i19]Svetlana N. Yanushkevich, Shawn Eastwood, Kenneth Lai, Vlad P. Shmerko:
Emerging Biometrics: Deep Inference and Other Computational Intelligence. CoRR abs/2006.11971 (2020) - [i18]Thomas Truong, Svetlana N. Yanushkevich:
Relatable Clothing: Detecting Visual Relationships between People and Clothing. CoRR abs/2007.10283 (2020) - [i17]Kenneth Lai, Steven Samoil, Svetlana N. Yanushkevich:
Multi-Spectral Facial Biometrics in Access Control. CoRR abs/2007.11318 (2020) - [i16]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk Assessment in the Face-based Watchlist Screening in e-Border. CoRR abs/2007.11323 (2020) - [i15]Kenneth Lai, Svetlana N. Yanushkevich:
Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy. CoRR abs/2007.11328 (2020) - [i14]Kenneth Lai, Svetlana N. Yanushkevich:
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition. CoRR abs/2007.11983 (2020) - [i13]Kenneth Lai, Xinyuan Tu, Svetlana N. Yanushkevich:
Dog Identification using Soft Biometrics and Neural Networks. CoRR abs/2007.11986 (2020) - [i12]Kenneth Lai, Svetlana N. Yanushkevich:
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition. CoRR abs/2007.11987 (2020) - [i11]Shawn C. Eastwood, Svetlana N. Yanushkevich:
Information Fusion on Belief Networks. CoRR abs/2007.12989 (2020) - [i10]Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Assessing Risks of Biases in Cognitive Decision Support Systems. CoRR abs/2007.14361 (2020) - [i9]Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. CoRR abs/2008.02359 (2020) - [i8]Thomas Truong, Svetlana N. Yanushkevich:
Generative Adversarial Network for Radar Signal Generation. CoRR abs/2008.03346 (2020) - [i7]Thomas Truong, Jonathan Graf, Svetlana N. Yanushkevich:
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data. CoRR abs/2008.03353 (2020) - [i6]Svetlana N. Yanushkevich, Vlad P. Shmerko:
On the Gap between Epidemiological Surveillance and Preparedness. CoRR abs/2008.03845 (2020) - [i5]Kenneth Lai, Svetlana N. Yanushkevich:
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition. CoRR abs/2008.05732 (2020) - [i4]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Reliability of Decision Support in Cross-spectral Biometric-enabled Systems. CoRR abs/2008.05735 (2020) - [i3]Kenneth Lai, Svetlana N. Yanushkevich:
Decision Support for Video-based Detection of Flu Symptoms. CoRR abs/2008.10534 (2020) - [i2]Kenneth Lai, Svetlana N. Yanushkevich:
Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt. CoRR abs/2008.11040 (2020) - [i1]Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. CoRR abs/2012.14106 (2020)
2010 – 2019
- 2019
- [j21]Svetlana N. Yanushkevich, Kelly W. Sundberg, Nathan W. Twyman, Richard M. Guest, Vlad P. Shmerko:
Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening. Comput. Secur. 85: 372-385 (2019) - [c69]Yingxu Wang, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Svetlana N. Yanushkevich, Fakhri Karray, Ming Hou, Newton Howard, Rodolfo A. Fiorini, Paolo Soda, Edward W. Tunstel, Jianmin Wang, Shushma Patel:
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. ICCI*CC 2019: 7-12 - [c68]Svetlana N. Yanushkevich, W. Gareth J. Howells, Keeley A. Crockett, James O'Shea, Helder Cesar Rodigues de Oliveira, Richard M. Guest, Vlad P. Shmerko:
Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources. CogMI 2019: 33-42 - [c67]Jordan Vice, Masood Mehmood Khan, Svetlana N. Yanushkevich:
Multimodal Models for Contextual Affect Assessment in Real-Time. CogMI 2019: 87-92 - [c66]Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich:
Face Attributes and Detection of Drug Addicts. EST 2019: 1-6 - [c65]Jonathan Graf, Shawn Eastwood, Svetlana N. Yanushkevich, Reed Ferber:
Risk Inference Models for Security Applications. EST 2019: 1-6 - [c64]Kenneth Lai, Svetlana N. Yanushkevich:
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition. EST 2019: 1-6 - [c63]O. Obi-Alago, Svetlana N. Yanushkevich, H. M. Wetherley:
Detecting Thermal Face Signature Abnormalities. EST 2019: 1-6 - [c62]Thomas Truong, Jonathan Graf, Svetlana N. Yanushkevich:
Hybrid Score- and Rank-Level Fusion for Person Identification using Face and ECG Data. EST 2019: 1-6 - [c61]Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich:
Face Attribute Prediction in Live Video using Fusion of Features and Deep Neural Networks. IJCNN 2019: 1-8 - [c60]Kenneth Lai, Xinyuan Tu, Svetlana N. Yanushkevich:
Dog Identification using Soft Biometrics and Neural Networks. IJCNN 2019: 1-8 - [c59]Thomas Truong, Svetlana N. Yanushkevich:
Generative Adversarial Network for Radar Signal Synthesis. IJCNN 2019: 1-7 - 2018
- [j20]Kenneth Lai, Ondrej Kanich, Michal Dvorák, Martin Drahanský, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Biometric-enabled watchlists technology. IET Biom. 7(2): 163-172 (2018) - [j19]Patrick Kozlow, Noor Abid, Svetlana N. Yanushkevich:
Gait Type Analysis Using Dynamic Bayesian Networks. Sensors 18(10): 3329 (2018) - [j18]Kenneth Lai, Shawn C. Eastwood, Warren Adam Shier, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Mass Evidence Accumulation and Traveler Risk Scoring Engine in e-Border Infrastructure. IEEE Trans. Intell. Transp. Syst. 19(10): 3271-3281 (2018) - [c58]Shawn Eastwood, Kenneth Lai, Svetlana N. Yanushkevich, Richard M. Guest, Vlad P. Shmerko:
Technology Gap Navigator: Emerging Design of Biometric-Enabled Risk Assessment Machines. BIOSIG 2018: 1-5 - [c57]Kenneth Lai, Svetlana N. Yanushkevich:
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition. ICPR 2018: 3451-3456 - 2017
- [j17]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko, Shawn Eastwood:
Bridging the Gap Between Forensics and Biometric-Enabled Watchlists for e-Borders. IEEE Comput. Intell. Mag. 12(1): 16-28 (2017) - [c56]Jie Yang, Alain Horé, Ulian Shahnovich, Kenneth Lai, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images. AVSS 2017: 1-6 - [c55]Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk assessment in the face-based watchlist screening in e-borders. IJCB 2017: 16-21 - [c54]Patrick Kozlow, Noor Abid, Svetlana N. Yanushkevich:
Utilizing gait traits to improve e-border watchlist performance. SSCI 2017: 1-8 - [c53]Kenneth Lai, Svetlana N. Yanushkevich:
Watchlist risk assessment using multiparametric cost and relative entropy. SSCI 2017: 1-7 - 2016
- [j16]