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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]Shawn Eastwood, Vlad P. Shmerko, Svetlana N. Yanushkevich, Martin Drahanský, Dmitry O. Gorodnichy:
Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications. IEEE Trans. Hum. Mach. Syst. 46(2): 231-242 (2016) - [c52]Kok Yee Roger Lu, Svetlana N. Yanushkevich:
Wearable system-on-module for prosopagnosia rehabilitation. CCECE 2016: 1-4 - [c51]Steven Samoil, Svetlana N. Yanushkevich:
Multispectral hand recognition using the Kinect v2 sensor. CEC 2016: 4258-4264 - [c50]Warren Adam Shier, Svetlana N. Yanushkevich:
Pain recognition and intensity classification using facial expressions. IJCNN 2016: 3578-3583 - [p4]Shawn Eastwood, Svetlana N. Yanushkevich:
Risk Assessment in Authentication Machines. Recent Advances in Computational Intelligence in Defense and Security 2016: 391-420 - 2015
- [c49]Svetlana N. Yanushkevich, Shawn Eastwood, Steven Samoil, Vlad P. Shmerko, Travis Manderson, Martin Drahanský:
Taxonomy and Modeling of Impersonation in e-Border Authentication. EST 2015: 38-43 - [c48]Steven Samoil, Svetlana N. Yanushkevich:
Depth Assisted Palm Region Extraction Using the Kinect v2 Sensor. EST 2015: 74-79 - [c47]Shawn Eastwood, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Belief Network Support via Decision Diagrams. ISMVL 2015: 176-181 - [p3]Kenneth Lai, Steven Samoil, Svetlana N. Yanushkevich, Gaetan Collaud:
Biometrics for Biomedical Applications. Applications of Computational Intelligence in Biomedical Technology 2015: 143-161 - 2014
- [c46]Kenneth Lai, Ahmad Poursaberi, Svetlana N. Yanushkevich:
One-shot facial feature extraction based on Gauss-Laguerre filter. CCECE 2014: 1-6 - [c45]Madeena Sultana, Marina L. Gavrilova, Reda Alhajj, Svetlana N. Yanushkevich:
Adaptive multi-stream score fusion for illumination invariant face recognition. CIBIM 2014: 94-101 - [c44]Kenneth Lai, Steven Samoil, Svetlana N. Yanushkevich:
Multi-spectral facial biometrics in access control. CIBIM 2014: 102-109 - [c43]Dmitry O. Gorodnichy, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Automated border control: Problem formalization. CIBIM 2014: 118-125 - [c42]Shawn Eastwood, Svetlana N. Yanushkevich:
Risk profiler in automated human authentication. CIES 2014: 140-147 - [c41]Shawn Eastwood, Svetlana N. Yanushkevich:
Modeling Risks in Biometric-Based Authentication Control Systems. EST 2014: 2-7 - [c40]Steven Samoil, Kenneth Lai, Svetlana N. Yanushkevich:
Multispectral Hand Biometrics. EST 2014: 24-29 - [c39]Shawn C. Eastwood, Vlad P. Shmerko, Svetlana N. Yanushkevich, Martin Drahanský:
Biometric Intelligence in Authentication Machines: from Talking Faces to Talking Robots. IIAI-AAI 2014: 763-768 - [c38]Madeena Sultana, Marina L. Gavrilova, Svetlana N. Yanushkevich:
Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time. IJCCI (FCTA) 2014: 146-152 - [c37]Madeena Sultana, Marina L. Gavrilova, Svetlana N. Yanushkevich:
Multi-resolution fusion of DTCWT and DCT for shift invariant face recognition. SMC 2014: 80-85 - [c36]Madeena Sultana, Marina L. Gavrilova, Svetlana N. Yanushkevich:
Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments. VISAPP (1) 2014: 216-221 - 2013
- [b1]Svetlana N. Yanushkevich, Seiya Kasai, Golam Tangim:
Introduction to Noise-Resilient Computing. Synthesis Lectures on Digital Circuits and Systems, Morgan & Claypool Publishers 2013, ISBN 9781627050227 - [j15]Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova, Vlad P. Shmerko, Patrick S. P. Wang:
Situational Awareness through Biometrics. Computer 46(5): 102-104 (2013) - [j14]Ahmad Poursaberi, Jan Vana, Stepán Mrácek, Radim Dvorak, Svetlana N. Yanushkevich, Martin Drahanský, Vlad P. Shmerko, Marina L. Gavrilova:
Facial biometrics for situational awareness systems. IET Biom. 2(2): 35-47 (2013) - [c35]Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Modified Multiscale Vesselness Filter for Facial Feature Detection. EST 2013: 21-24 - [c34]Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova:
An Efficient Facial Expression Recognition System in Infrared Images. EST 2013: 25-28 - [c33]Golam Tangim, Svetlana N. Yanushkevich, Seiya Kasai, Vlad P. Shmerko:
Noise-Tolerant Model of a Ternary Inverter Based on Markov Random Field. ISMVL 2013: 278-283 - 2012
- [j13]Ahmad Poursaberi, Hossein Ahmadi, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Gauss-Laguerre wavelet textural feature fusion with geometrical information for facial expression identification. EURASIP J. Image Video Process. 2012: 17 (2012) - [c32]Jan Vana, Stepán Mrácek, Martin Drahanský, Ahmad Poursaberi, Svetlana N. Yanushkevich:
Applying fusion in thermal face recognition. BIOSIG 2012: 1-7 - [c31]Ali Abbasinasab, Svetlana N. Yanushkevich:
Reliability evaluation of multivalued logic circuits via probabilistic transfer matrices. CCECE 2012: 1-4 - [c30]Svetlana N. Yanushkevich:
Secure Biometric System Design. EST 2012: 1-7 - [c29]Stepán Mrácek, Jan Vana, Martin Drahanský, Radim Dvorak, Svetlana N. Yanushkevich:
Thermal Face Recognition: A Fusion Approach. EST 2012: 39-42 - [c28]Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Optimum-Path Forest Classifier for Large Scale Biometric Applications. EST 2012: 58-61 - [c27]Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich:
A fast large scale iris database classification with Optimum-Path Forest technique: A case study. IJCNN 2012: 1-5 - 2011
- [j12]Svetlana N. Yanushkevich, Marina L. Gavrilova, Vlad P. Shmerko, Sergey Edward Lyshevski, Adrian Stoica, Ronald R. Yager:
Belief trees and networks for biometric applications. Soft Comput. 15(1): 3-11 (2011) - [c26]Svetlana N. Yanushkevich:
Tutorial: Belief network design for biometric systems. CIBIM 2011: 168-177 - [c25]Svetlana N. Yanushkevich:
Synthetic Biometrics for Training Users of Biometric and Biomedical Systems. CW 2011: 5-8 - [c24]Ali Abbasinasab, Mehdi Mohammadi, Siamak Mohammadi, Svetlana N. Yanushkevich, Michael Smith:
Mutant Fault Injection in Functional Properties of a Model to Improve Coverage Metrics. DSD 2011: 422-425 - [c23]A. H. Tran, Svetlana N. Yanushkevich, Sergey Edward Lyshevski, Vlad P. Shmerko:
Fault Tolerant Computing Paradigm for Random Molecular Phenomena: Hopfield Gates and Logic Networks. ISMVL 2011: 93-98 - [r1]Svetlana N. Yanushkevich, Denis V. Popel:
DNA. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 359-362
2000 – 2009
- 2009
- [j11]Dan Zhang, Xinge You, Patrick Shen-Pei Wang, Svetlana N. Yanushkevich, Yuan Yan Tang:
Facial Biometrics Using Nontensor Product Wavelet and 2D Discriminant Techniques. Int. J. Pattern Recognit. Artif. Intell. 23(3): 521-543 (2009) - [c22]Svetlana N. Yanushkevich, Anna V. Shmerko:
Fundamentals of Biometric System Design: New Course for Electrical, Computer, and Software Engineering Students. BLISS 2009: 3-8 - 2008
- [j10]Svetlana N. Yanushkevich, David Hurley, Patrick S. P. Wang:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 22(3): 367-369 (2008) - [j9]Sang-Woong Lee, Patrick S. P. Wang, Svetlana N. Yanushkevich, Seong-Whan Lee:
Noniterative 3D Face Reconstruction Based on Photometric Stereo. Int. J. Pattern Recognit. Artif. Intell. 22(3): 389-410 (2008) - [c21]S. Chague, B. Droit, Oleg Boulanov, Svetlana N. Yanushkevich, Vlad P. Shmerko, Adrian Stoica:
Biometric-Based Decision Support Assistance in Physical Access Control Systems. BLISS 2008: 11-16 - [c20]Svetlana N. Yanushkevich, Oleg Boulanov, Adrian Stoica, Vlad P. Shmerko:
Support of Interviewing Techniques in Physical Access Control Systems. IWCF 2008: 147-158 - 2007
- [j8]Svetlana N. Yanushkevich, Adrian Stoica, Vlad P. Shmerko:
Developmental Tools - Synthetic Biometrics. IEEE Comput. Intell. Mag. 2(2): 60-69 (2007) - [j7]Svetlana N. Yanushkevich, Vlad P. Shmerko:
Introduction to the Special Issue: Nano MVL Structures. J. Multiple Valued Log. Soft Comput. 13(3): 217-234 (2007) - [c19]Patrick S. P. Wang, Svetlana N. Yanushkevich:
Biometric technologies and applications. Artificial Intelligence and Applications 2007: 249-254 - [c18]Vlad P. Shmerko, Svetlana N. Yanushkevich, Hyunsuk Moon, Adrian Stoica, Ronald R. Yager:
Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures. BLISS 2007: 11-14 - [p2]Svetlana N. Yanushkevich, Vlad P. Shmerko, Adrian Stoica, Patrick S. P. Wang, Sargur N. Srihari:
Introduction to Synthesis in Biometrics. Image Pattern Recognition 2007: 5-30 - [p1]Svetlana N. Yanushkevich, Adrian Stoica, Vlad P. Shmerko:
Fundamentals of Biometric-Based Training System Design. Image Pattern Recognition 2007: 365- - [e1]Svetlana N. Yanushkevich, Marina L. Gavrilova, Patrick S. P. Wang, Sargur N. Srihari:
Image Pattern Recognition - Synthesis and Analysis in Biometrics. Series in Machine Perception and Artificial Intelligence 67, WorldScientific 2007, ISBN 978-981-256-908-0, pp. 1-452 [contents] - 2006
- [c17]Svetlana N. Yanushkevich:
Synthetic Biometrics: A Survey. IJCNN 2006: 676-683 - [c16]Svetlana N. Yanushkevich, Vlad P. Shmerko, Oleg Boulanov:
Embedding and Assembling Techniques for Spatial Computing Structure Design using Decision Trees and Diagrams. ISMVL 2006: 29 - [c15]Svetlana N. Yanushkevich:
A concept of intelligent biometric-based early detection and warning system. PST 2006: 55 - 2004
- [j6]Svetlana N. Yanushkevich, Vlad P. Shmerko, V. D. Malyugin, Piotr Dziurzanski, Anna M. Tomaszewska:
Linearity of Word-Level Representations of Multiple-Valued Networks. J. Multiple Valued Log. Soft Comput. 10(2): 129-158 (2004) - [c14]Svetlana N. Yanushkevich, Vlad P. Shmerko, L. Guy, D. C. Lu:
Three Dimensional Multiple Valued Circuits Design Based on Single-Electron Logic. ISMVL 2004: 275-280 - 2003
- [j5]Svetlana N. Yanushkevich:
Editorial - Artificial Intelligence in Logic Design. Artif. Intell. Rev. 20(3-4): 167-168 (2003) - [j4]Vlad P. Shmerko, Svetlana N. Yanushkevich:
Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices. Artif. Intell. Rev. 20(3-4): 473-494 (2003) - 2002
- [j3]Svetlana N. Yanushkevich:
Matrix and combinatorics solutions of Boolean differential equations. Discret. Appl. Math. 117(1-3): 279-292 (2002) - [c13]Svetlana N. Yanushkevich, Piotr Dziurzanski, Vlad P. Shmerko:
The Word-Level Models for Efficient Computation of Multiple-Valued Functions. PART 1: LAR Based Model. ISMVL 2002: 202-208 - [c12]Anna M. Tomaszewska, Svetlana N. Yanushkevich, Vlad P. Shmerko:
The Word-Level Models for Efficient Computation of Multiple-Valued Functions. PART 2: LWL Based Model. ISMVL 2002: 209-215 - [c11]Svetlana N. Yanushkevich, Vlad P. Shmerko, V. D. Malyugin, Piotr Dziurzanski:
Linearity of World-Level Circuit Models: New Understanding. IWLS 2002: 67-72 - 2001
- [j2]Jon T. Butler, Gerhard W. Dueck, Svetlana N. Yanushkevich, Vlad P. Shmerko:
On the number of generators for transeunt triangles. Discret. Appl. Math. 108(3): 309-316 (2001) - [c10]V. Cheushev, Svetlana N. Yanushkevich, Vlad P. Shmerko, Claudio Moraga, Joanna Kolodziejczyk:
Information Theory Method for Flexible Network Synthesis. ISMVL 2001: 201-206 - [c9]Anna M. Tomaszewska, Piotr Dziurzanski, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Two-Stage Exact Detection of Symmetrics. ISMVL 2001: 213-220 - 2000
- [j1]Jon T. Butler, Gerhard W. Dueck, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Comments on "Sympathy: fast exact minimization of fixedpolarity Reed-Muller expansion for symmetric functions". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 19(11): 1386-1388 (2000) - [c8]Tadeusz Luba, Claudio Moraga, Svetlana N. Yanushkevich, Vlad P. Shmerko, Joanna Kolodziejczyk:
Application of Design Style in Evolutionary Multi-Level Networks Synthesis. EUROMICRO 2000: 1156-1163 - [c7]Svetlana N. Yanushkevich, Jon T. Butler, Gerhard W. Dueck, Vlad P. Shmerko:
Experiments on FPRM Expressions for Partially Symmetric Logic Functions. ISMVL 2000: 141-146 - [c6]Tadeusz Luba, Claudio Moraga, Svetlana N. Yanushkevich, M. Opoka, Vlad P. Shmerko:
Evolutionary Multi-Level Network Synthesis in Given Design Style. ISMVL 2000: 253-258 - [c5]Svetlana N. Yanushkevich, Denis V. Popel, Vlad P. Shmerko, V. Cheushev, Radomir S. Stankovic:
Information Theoretic Approach to Minimization of Polynomial Expressions over GF(4). ISMVL 2000: 265-272
1990 – 1999
- 1998
- [c4]V. Cheushev, Vlad P. Shmerko, Dan A. Simovici, Svetlana N. Yanushkevich:
Functional Entropy and Decision Trees. ISMVL 1998: 257-263 - 1997
- [c3]Vlad P. Shmerko, Svetlana N. Yanushkevich, Vitaly G. Levashenko:
Test Pattern Generation for Combinatorial Multi-Valued Networks Based on Generalized D-Algorithm. ISMVL 1997: 139-144 - 1996
- [c2]Vlad P. Shmerko, Svetlana N. Yanushkevich, Vitaly G. Levashenko, I. Bondar:
Technique of Computing Logic Derivatives for MVL-Functions. ISMVL 1996: 267-272 - [c1]Vlad P. Shmerko, Svetlana N. Yanushkevich, Krzysztof Malecki:
A Class of Logic design Problems solved based on Parallel Computations of Butterfly Configurations. PDPTA 1996: 1589-1592
Coauthor Index
Shawn Eastwood
aka: Shawn C. Eastwood
aka: Shawn C. Eastwood
Kenneth Lai
aka: Kenneth Kam Fai Lai
aka: Kenneth Kam Fai Lai
[j38] [c111] [j35] [j32] [c109] [c106] [c104] [c103] [c102] [i30] [i29] [i28] [i27] [i26] [j31] [c96] [c90] [i25] [i24] [j28] [j25] [j24] [i21] [j22] [c82] [c79] [c77] [c76] [c73] [c71] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [i9] [i5] [i4] [i3] [i2] [c64] [c60] [j20] [j18] [c58] [c57] [j17] [c56] [c55] [c53] [p3] [c46] [c44] [c40]
[j38] [j35] [j32] [c103] [i29] [c96] [c92] [i25] [i24] [j28] [j24] [c83] [j22] [c82] [c73] [i19] [i16] [i10] [i9] [i6] [i4] [j21] [c68] [j20] [j18] [c58] [j17] [c55] [j16] [c49] [c47] [c43] [c39] [j15] [j14] [c33] [j12] [c23] [c21] [c20] [j8] [j7] [c18] [p2] [p1] [c16] [j6] [c14] [j4] [c13] [c12] [c11] [j2] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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