Publications

Link to the Biometric Technologies Lab info and publications on the Research Gate

N. Abid, V. Shmerko and S. Yanushkevich, "Audit of Computational Intelligence Techniques for EDI-aware Systems," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/IJCNN55064.2022.9892638. https://ieeexplore.ieee.org/abstract/document/9892638

K. Lai, V. Shmerko, and S. Yanushkevich, “Fairness on Synthetic Visual and Thermal Mask Images.” IEEE Interntional Conference on Cognitive Machine Intelligence, December 14, pp. 1--6, 2022. arXiv

H. C. R. Oliveira, S. Yanushkevich, and M. Almekhlafi, “Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks,” in 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Aug. 2022, pp. 1–8. doi: 10.1109/CIBCB55180.2022.9863028.

A. Garland, H. Oliveira, S. Yanushkevich, K. Smith, J. Bourqui, E. Fear, S. Quirk, et al. “Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated Tissue.” In 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 1–8. IEEE, 2022.

N. Abid, V. Shmerko, and S. Yanushkevich, "Audit of Machine Reasoning Techniques for Modeling Equity, Diversity and Inclusion," in IEEE World Congress on Computational Intelligence, pp. 1-8, 2022.

P. Ciunkiewicz, M. Roumeliotis, K. Stenhouse, P. McGeachy, S. Quirk, P. Grendarova, and S. Yanushkevich, "Improved Design of Bayesian Networks for Modelling Toxicity Risk in Breast Radiotherapy using Dynamic Discretization,” in IEEE World Congress on Computational Intelligence, pp. 1-8, 2022.

R. Islam, K. Lai, S. Yanushkevich, "Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense," in IEEE World Congress on Computational Intelligence, pp. 1-8, 2022, doi: 10.1109/IJCNN55064.2022.9892631.

P. Ciunkiewicz, M. Roumeliotis, K. Stenhouse, P. McGeachy, P. Grendarova, S. Quirk, and S. Yanushkevich, “Assessment of tissue toxicity risk in breast radiotherapy using Bayesian networks,” Medical Physics, In Press, doi: 10.1002/mp.15651.

G. -S. J. Hsu, H. -Y. Wu, C. -H. Tsai, S. Yanushkevich and M. L. Gavrilova, "Masked Face Recognition From Synthesis to Reality," in IEEE Access, vol. 10, pp. 37938-37952, 2022, doi: 10.1109/ACCESS.2022.3160828.

P. Ciunkiewicz, W. Brooke, M. Rogers, and S. Yanushkevich, “Agent-based epidemiological modeling of COVID-19 in localized environments,” Computers in Biology and Medicine, vol. 144, p. 105396, May 2022, doi: 10.1016/j.compbiomed.2022.105396.

X. Cao, K. Lai, G. -S. J. Hsu, M. Smith and S. Yanushkevich, "Cross-spectrum Thermal Face Pattern Generator," in IEEE Access, Vol. 10, pp. 9576-9586, doi: 10.1109/ACCESS.2022.3144308.

L. Queiroz, K. Lai, S. Yanushkevich, and V. Shmerko, Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%, 2022. arXiv

P. Ciunkiewicz, M. Roumeliotis, K. Stenhouse, P. McGeachy, P. Grendarova, S. Quirk, and S. Yanushkevich, “Modelling Toxicity Risk and Uncertainty in Breast Radiotherapy with Bayesian Networks,” in MEDICAL PHYSICS, 2021, vol. 48, no. 6.

K. Stenhouse, M. Roumeliotis, P. Ciunkiewicz, R. Banerjee, S. Yanushkevich, and P. McGeachy, “Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy,” Frontiers in Oncology, vol. 11, 2021 https://www.frontiersin.org/article/10.3389/fonc.2021.611437

H. C. R. Oliveira, V. Shmerko and S. N. Yanushkevich, "Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship," 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1-8, doi: 10.1109/SSCI50451.2021.9660140.

K. Lai, S. N. Yanushkevich and V. P. Shmerko, Intelligent Stress Monitoring Assistant for First Responders, in IEEE Access, vol. 9, pp. 25314-25329, 2021, doi: 10.1109/ACCESS.2021.3057578. GitHub

K. Lai, S. Yanushkevich, V. Shmerko, and M. Hou, Capturing causality in bias in human action recognition, in Pattern Recognition Letters, vol. 147, pp. 164-171, July 2021, doi: 10.1016/j.patrec.2021.04.008. GitHub

A. Mohammadi, Y. Wang, N. Enshaei, P. Afshar, F. naderkhani, A. Oikonomou, M.rafiee, H. Oliveira, S. Yanushkevich, K. 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) DOI: 10.1109/MSP.2021.3090674

X. Cao, K. Lai, M. Smith, and S. Yanushkevich, Adversarial and adaptive tone mapping operator: multi-scheme generation and multi-metric evaluation, in Journal of Electronic Imaging, vol. 30, no. 4, article 043020, 2021, doi: http://dx.doi.org/10.1117/1.JEI.30.4.043020.

T. Truong and S. Yanushkevich, Relatable Clothing: Soft-Attention Mechanism for Detecting Worn/Unworn Objects, in IEEE Access, vol. 9, pp. 108782-108792, 2021, doi: 10.1109/ACCESS.2021.3101789.

K. Lai, S. Yanushkevich, and V. Shmerko, Epidemiology Attack at the Aircraft Carrier Theodore Roosevelt: Bridging Gaps of the Emergency Management, Journal of Defense Modeling and Simulation, 2021, doi: https://doi.org/10.1177/15485129211028659. GitHub

M. Gavrilova, Gee-Sern Hsu, K. Saeed, S. Yanushkevich, IEEE Access Special Section Editorial: Intelligent Biometric Systems for Secure Societies. IEEE Access 9: 71418-71421 (2021)

A. Bhatt, T. Truong, S. Yanushkevich and M. Almekhlafi, Body Pose Analysis using CNN and Pressure Sensor Array Data, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021, pp. 1-4, doi: 10.1109/BHI50953.2021.9508570.

Truong, T. and Yanushkevich, S., Relatable Clothing: Detecting Visual Relationships between People and Clothing. 25^th International Conference on Pattern Recognition. Milan, Italy. January 2021, pp. 1-7

L. Queiroz, H. Oliveira and S. Yanushkevich, Thermal-Mask – A Dataset for Facial Mask Detection and Breathing Rate Measurement, 2021 International Conference on Information and Digital Technologies (IDT), 2021, pp. 142-151, doi: 10.1109/IDT52577.2021.9497521

K. Lai, H. Oliveira, M. Hou, S. Yanushkevich, and V. Shmerko, Assessing Risks of Biases in Cognitive Decision Support Systems, European Signal Processing Conference, January 2021, pp. 840-844. arXiv

K. Lai, S. Yanushkevich, and V. Shmerko, Counter-Epidemiological Projections of e-Coaching, 2021. arXiv

K. Lai, H. Oliveira, M. Hou, S. Yanushkevich, and V. Shmerko, Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. IEEE Access, vol. 8, August 2020, pp. 148779 - 148792. 10.1109/ACCESS.2020.3015855. GitHub

T. Truong and S. Yanushkevich, Relatable Clothing: Detecting Visual Relationships between People and Clothing, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 4070-4076, doi: 10.1109/ICPR48806.2021.9413149

G. -S. J. Hsu, C. -H. Tang, S. Yanushkevich and M. L. Gavrilova, Contrastive Data Learning for Facial Pose and Illumination Normalization, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 8336-8343, doi: 10.1109/ICPR48806.2021.9412811

T. Truong and S. Yanushkevich, Detecting Subject-Weapon Visual Relationships, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 2047-2052, doi: 10.1109/SSCI47803.2020.9308574

T. Truong, D. Lalseta, R. Ittyipe and S. Yanushkevich, Detecting Proper Mask Usage with Soft Attention, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 1745-1750, doi: 10.1109/SSCI47803.2020.9308430.

X. Cao, K. Lai, S. N. Yanushkevich and M. R. Smith, Adversarial and Adaptive Tone Mapping Operator for High Dynamic Range Images, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 1814-1821, doi: 10.1109/SSCI47803.2020.9308535

K. Lai, S. Yanushkevich, and V. Shmerko, Reliability of Decision Support in Cross-spectral Biometric-enabled Systems, IEEE International Conference on Systems, Man, and Cybernetics, October 2020, pp. 1-6. arXiv. GitHub

T. Truong, A. Bhatt, L. Queiroz, K. Lai and S. Yanushkevich, Instance Segmentation of Personal Protective Equipment using a Multi-stage Transfer Learning Process," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 1181-1186, doi: 10.1109/SMC42975.2020.9283427

K. Lai and S. Yanushkevich, Decision Support for Video-based Detection of Flu Symptoms, IEEE International Conference on Systems, Man, and Cybernetics, October 2020, pp. 1-7. arXiv. GitHub

K. Lai and S. Yanushkevich, An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1-7, doi: 10.1109/IJCNN48605.2020.9207601. arXiv

S. Yanushkevich, A. Stoica, P. Shmerko, W. Howells, K. Crockett and R. Guest, Cognitive Identity Management: Synthetic Data, Risk and Trust, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207385.

L. Queiroz, H. Oliveira, S. Yanushkevich and R. Ferber, Video-Based Breathing Rate Monitoring in Sleeping Subjects, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 2458-2464, doi: 10.1109/SMC42975.2020.9283398

J. Vice, M. M. Khan and S. Yanushkevich, Multimodal Models for Contextual Affect Assessment in Real-Time, 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), Los Angeles, CA, USA, 2019, pp. 87-92, doi: 10.1109/CogMI48466.2019.00020.

S. N. Yanushkevich W. G. Howells; K. A. Crockett; J. O'Shea; H. C. R. Oliveira; R. M. Guest; V. P. Shmerko, Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources, 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), Los Angeles, CA, USA, 2019, pp. 33-42, doi: 10.1109/CogMI48466.2019.00014

K. Lai and S. N. Yanushkevich, Multi-Metric Evaluation of Thermal-to-Visual Face Recognition, 2019 Eighth International Conference on Emerging Security Technologies (EST), Colchester, United Kingdom, 2019, pp. 1-6, doi: 10.1109/EST.2019.8806202. arXiv

K. Lai, X. Tu and S. Yanushkevich, Dog Identification using Soft Biometrics and Neural Networks, 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8, doi: 10.1109/IJCNN.2019.8851971. arXiv

Truong, T., Graf, J., and Yanushkevich, S., Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data, 8^th International Conference on Emerging Securities Technologies. Essex, UK. July 2019, pp. 1-6.

Truong, T. and Yanushkevich, S., Generative Adversarial Network for Radar Signal Generation, International Joint Conference on Neural Networks. Budapest, Hungary. July 2019, pp. 1-8

J. Graf, S. Eastwood, S. Yanushkevich and R. Ferber, Risk Inference Models for Security Applications, 2019 Eighth International Conference on Emerging Security Technologies (EST), Colchester, United Kingdom, 2019, pp. 1-6, doi: 10.1109/EST.2019.8806210.

N. Abid, P. Kozlow and S. Yanushkevich, "Detection of Asymmetric Abnormalities in Gait using Depth Data and Dynamic Bayesian Networks," 2018 14th IEEE International Conference on Signal Processing (ICSP), Beijing, China, 2018, pp. 762-767, doi: 10.1109/ICSP.2018.8652291. https://ieeexplore.ieee.org/abstract/document/8652291

P. Kozlow, N. Abid, S. Yanushkevich, “Gait Type Analysis Using Dynamic Bayesian Networks,” Sensors 2018, 18, 3329. https://doi.org/10.3390/s18103329.

K. Lai, S. Eastwood, W. Shier, S. Yanushkevich, V. Shmerko, Mass Evidence Accumulation and Traveler Risk Scoring in e-Border Infrastructure, IEEE Transactions on Intelligent Transportation Systems, 2018

K. Lai, O. Kanich, M. Dvorák, M. Drahanský, S. Yanushkevich, and V. Shmerko, Biometric-Enabled Watchlists Technology, IET Biometrics, vol. 7, no. 2, pp. 163-172, March 2018

K. Lai and S. Yanushkevich, CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition, International Conference on Pattern Recognition, pp. 3451-3456, August 2018. arXiv

X. Tu, K. Lai, and S. Yanushkevich, Transfer Learning on Convolutional Neural Networks for Dog Identification, IEEE International Conference on Software Engineering and Service, pp. 357-360, November 2018.

K. Lai and S. N. Yanushkevich, Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy,   IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) at the IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA, November 2017. arXiv

P. Kozlow, N. Abid, and S. Yanushkevich, Utilizing Gait Traits to Improve e-Border Watchlist Performance,   IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) at the IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA, November 2017 https://ieeexplore.ieee.org/abstract/document/8285250

K. Lai, S. N. Yanushkevich, and V. Shmerko, Risk Assessment in the Face-based Watchlist Screening in e-Borders, Int. Joint Conference on Biometrics (IJCB), Colorado, USA, October 2017, pp. 16-21. arXiv

J. Yang, A. Hore, K. Lai, S. N. Yanushkevich, O. Yadid-Pecht, Multi-scale Histogram Tone Mapping Algorithm Enables Better Object Detection in Wide Dynamic Range Images, IEEE Int. Conference on Advanced Video and Signal Based Surveillance (AVSS), Italy, September 2017, pp. 1-6

K. Lai, S. N. Yanushkevich, V. P. Shmerko, and S. C. Eastwood, Bridging the Gap Between Forensics and Biometric-Enabled Watchlists for e-Borders, IEEE Computational Intelligence Magazine, vol. 12, no. 1, pp. 16-28, February 2017

S. N. Yanushkevich, S. C. Eastwood, M. Drahansky, and V. P. Shmerko, Understanding and Taxonomy of Uncertainty in Modeling, Simulation, and Risk Profiling for Border Control Automation, Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, PLOS, Publishing, January 2017

S. C. Eastwood and S. N. Yanushkevich, Risk Assessment in Authentication Machines, In: Abielmona, R., Falcon, R., Zincir-Heywood, N., Abbass, H.A. (Eds.), Recent Advances in Computational Intelligence in Defense and Security, Series: Studies in Computational Intelligence, vol. 621, Springer Int group, 2016

S. C. Eastwood, V. P. Shmerko, S. N. Yanushkevich, M. Drahansky, D. O. Gorodnichy, Biometric-enabled Authentication Machines: A Survey of Open-Set Real-World Applications, IEEE Transactions on Human Machine Systems, Issue 2, April 2016, pp. 231 - 242.

S. Samoil, S. Yanushkevich, Multispectral Hand Recognition Using the Kinect v2 Sensor, IEEE Congress on Evolutionary Computation at IEEE World Congress on Computational Intelligence, Vancouver, 2016.

K.Y. Lu, Yanushkevich, S. N., Wearable system-on-module for prosopagnosia rehabilitation, 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Vancouver, 2016.

W. A. Shier, S.N.. Yanushkevich, Pain Recognition and Intensity Classification Using Facial Expressions, IEEE Int Joint Conference on Neural Networks (IJCNN), at World Congress on Computational Intelligence (WCCI), Vancouver 2016, pp. 3578-3583 

W. A. Shier, S.N.. Yanushkevich, Effects of Training Set Selection on Pain Recognition Using Facial Expressions, ICPOR 2016, Japan, 2016

W. A. Shier and S. N. Yanushkevich, Biometrics in human-machine interaction, 2015 International Conference on Information and Digital Technologies, Zilina, 2015, pp. 305-313.

Eastwood, S.C.; Shmerko, V.P.; Yanushkevich, S.N.; Drahansky, M.; Gorodnichy, D.O., Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications, IEEE Transactions on Human-Machine Systems , vol. PP, no.99, pp.1-12.  doi: 10.1109/THMS.2015.2412944

Yanushkevich, S. N., Eastwood, S. C., Manderson, T. L., Samoil, S., Drahansky, M., and Shmerko V. P., Taxonomy and Modeling of Impersonation in e-Border Authentication. Sixth International Conference on Emerging Security Technologies - EST 2015, Braunschweig, Germany, 2015, pp. 1-6.

S. Eastwood, S. Yanushkevich, and V. Shmerko, Belief Network Support via Decision Diagrams, 45th IEEE International Symposium on Multiple-Valued Logic - ISMVL2015, Canada, May 2015, p.1-8.

S. Eastwood, and S. Yanushkevich, Dempster-Shafer Models for Binary Logic, Proc. of the 24th International Workshop on Post-Binary ULSI Systems, Waterloo, Canada, May 2015, pp.1-10.

Lai, K., Samoil, S., Yanushkevich, S. and Collaud, G., Biometrics for Biomedical Applications, In: Bris, R., Majernik, J., Pancerz, K., Zaitseva, E. (Eds.) Applications of Computational Intelligence in Biomedical Technology Vol. 606 Studies in Computational Intelligence, Springer Int Publishing, 2015, p.143-161.

K. Lai, S. Samoil, S. N. Yanushkevich, Synthetic Biometrics in Biomedical systems, Chapter in: Eren, Webster (Editors), The E-Medicine, E-Health, M-Health, Telemedicine and Telehealth Handbook, Taylor & Francis, November, 2015. http://tandf.net/books/details/9781482297942/

S. Eastwood, and S. Yanushkevich, Risk Profiler in Automated Human Authentication, Proceedings of the IEEE Workshop on Computational Intelligence in Engineering CIEN 2014, IEEE Symposium Series on Computational Intelligence, Orlando, December 2014.

M.Sultana, M.Gavrilova, R.Alhajj, S.Yanushkevich, Adaptive Multi-Stream Score Fusion for Illumination Invariant Face Recognition, Proceedings of the IEEE Workshop on Computational Intelligence in Biometrics and Identity Management CIBIM 2014, IEEE SSCI, Orlando, December 2014.

M. Sultana, M. Gavrilova, and S. Yanushkevich, Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time, 6th International Conference on Fuzzy Computation Theory and Applications (FCTA), pp. 146-152, November 2014.

M. Sultana, M. Gavrilova, and S. Yanushkevich, Multi-Resolution Fusion of DTCWT and DCT for Shift Invariant Face Recognition, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), pp. 86-91, 2014.

S. C. Eastwood, V. P. Shmerko, S. N. Yanushkevich, M. Drahansky, Biometric Intelligence in Authentication Machines: From Talking Faces to Talking Robots, 2014 IIAI 3rd International Conference on Advanced Applied Informatics, Japan, August 2014, pp.763 -768.

M. Sultana, M.L. Gavrilova, S.N. Yanushkevich: Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments. Proceedings of the Conference on Computer Vision Theory and Applications - VISAPP, Lisbon, Portugal, January, 2014, Volume 1, pp. 216-221.

S. Eastwood, and S. Yanushkevich, Modeling Risks in Biometric-Based Authentication Control Systems, Int. Conference on Emerging Security Technologies - EST 2014, Spain, September 2014.

K. Lai, S. Samoil, and S. N. Yanushkevich, Multi-spectral facial biometrics in access control, Proceedings of the IEEE Workshop on Computational Intelligence in Biometrics and Identity Management CIBIM 2014,  IEEE Symposium Series on Computational Intelligence, Orlando, December 2014, pp. 102-109

S. Samoil, K. Lai, S. N. Yanushkevich, Multispectral Hand Biometrics, International Conference on Emerging Security Technologies (EST), September 2014, pp. 24-29

K. Lai, A. Poursaberi, and S. N. Yanushkevich, One-shot facial feature extraction based on Gauss-Laguerre filter, Canadian Conference on Electrical and Computer Engineering (CCECE), May 2014, pp. 1-6

K. Lai, S. Samoil, S. N. Yanushkevich, and G. Collaud, Application of biometric technologies in biomedical systems, International Conference on Digital Technologies (DT), July 2014, pp. 207-216

A. Poursaberi, S. N. Yanushkevich, M. L. Gavrilova, V. P. Shmerko, P. S. P. Wang, Situational Awareness through Biometrics. IEEE Computer, Vol. 46, issue 5, 2013, pp. 102-104

A. Poursaberi; J. Vana; S. Mracek; R. Dvorak; S. N. Yanushkevich; M. Drahansky; V. P. Shmerko; M. L. Gavrilova, Facial biometrics for situational awareness systems, IET Biometrics, Volume 2, Issue 2, June 2013, pp. 35 - 47

A. Poursaberi, S. Yanushkevich and M. Gavrilova, Modified Multiscale Vesselness Filter for Facial Feature Detection, Int.
Conference on Emerging Security Technologies - EST 2013, Cambridge, UK, September 2013.

A. Poursaberi, S. Yanushkevich and M. Gavrilova, Int. Conference on Emerging Security Technologies - EST 2013, Cambridge, UK, September 2013.

L.C.S. Afonso, J. Papa, A.N. Marana , A. Poursaberi, S. Yanushkevich, A Fast Classifier for Large Scale Biometric Applications, A fast large scale iris database classification with Optimum-Path Forest technique: A case study. International Joint Conference on Neural Networks - IJCNN, 2012, pp. 1-5.

J. Vana, S.Mracek, S. Yanushkevich, M. Drahansky, Applying Fusion in Thermal Face Recognition, IEEE Int. Conf. of Biometrics Special Interest Group - BIOSIG, Germany, 2012.

S. N. Yanushkevich, Secure biometric system design. Keynote, Int. Conference on Emerging Security Technologies - EST 2012, pp.1-10, Portugal, August 2012.

L. C. S. Afonso, J. P. Papa and A. N. Marana, A. Poursaberi, S. Yanushkevich and M. Gavrilova, Optimum-Path Forest Classifier for Large Scale Biometric Applications, Int. Conference on Emerging Security Technologies - EST 2012, pp. 58{61, Portugal, August 2012.

S.Mracek, J. Vana, M. Drahansky, R. Dvorak, S. Yanushkevich, Thermal Face Recognition: a Fusion Approach, Int. Conference on Emerging Security Technologies - EST 2012, pp.39-42, Portugal, 2012.

L.C.S. Afonso, A. Poursaberi, S. Yanushkevich, J. P. Papa, A. N. Marana, A Fast Large Scale Iris Database Classification with Optimum-Path Forest Technique: A Case Study, IEEE World Congress on Computational Intelligence, Brisbane, Australia, 2012.

A. Poursaberi, H. Ahmadi Noubari, S. Yanushkevich, Gauss-Laguerre Wavelet Textural Feature Fusion with Geometrical Information for Facial Expression Recognition, EURASIP Journal on Image and Video Processing, Springer, No.17, 2012 ( open access).

Mracek, S., Vana, J., Dvorak, R., Drahansky, M., Yanushkevich, S.: 3D and Thermo-face Recognition, New Trends and Developments in Biometrics, Rijeka, HR, InTech, 2012, p. 31-58

S. N. Yanushkevich, D. V. Popel: DNA. Encyclopedia of Cryptography and Security (2nd Ed.) 2011, pp. 359-362

S. Yanushkevich, A. Stoica, R. Yager, O. Boulanov, V. Shmerko, Synthetic Biometrics for Testing Biometric Systems and User Training,
In: B. M. Wilamowski, J.D. Irwin, Editors, The Industrial Electronics Handbook: Intelligent Systems, CRC Press, Chapter 32, pp. 32-1 - 32-12.

S. N. Yanushkevich, M. L. Gavrilova, V. P. Shmerko, S. E. Lyshevski, A. Stoica, R. R. Yager, Belief trees and networks for biometric applications, Soft Computing, Vol. 15, Issue 1, 2011, pp.3-11

A. Poursaberi, M. Spicher, H. Ahmadi Noubari, S. Yanushkevich, Global Gauss-Laguerre Wavelets Feature Selection for Facial Expression Recognition, 8th International Conference on Digital Technologies 2011, Zilina - Slovak Republic, November, 2011, pp.1-8.

O. R. Boulanov, M. L. Gavrilova, A. Poursaberi, M. Spicher, V. P. Shmerko, S. N. Yanushkevich and P. S. P. Wang, Biometric-Based Intelligent Agent Systems, IADIS International Conference Intelligent Systems and Agents 2011, July 2011, Rome, Italy, pp. 162-164.

S. Yanushkevich, Belief Network Design for Biometric Systems, Proceedings of the IEEE Workshop on Computational Intelligence in Biometrics and Identity Management - CIBIM 2011, IEEE Symposium Series on Computational Intelligence, May, 2011 Paris, France, pp. ix-xviii.

S. N. Yanushkevich: Synthetic Biometrics for Training Users of Biometric and Biomedical Systems. CyberWorlds 2011, pp. 5-8

Zhang, D., You, X., Wang, P.S.P., Yanushkevich, S.N., and Tang Yuan Yan, Facial Biometrics using Non-tensor Product Wavelet and 2D Discriminant Techniques, International Journal of Pattern Recognition & Artificial Intelligence, Vol. 23, No. 3, May 2009, pp.521-543

S. Yanushkevich, V. Shmerko, O. Boulanov, and A. Stoica, Decision Making Support in Biometric- Based Physical Access Control Systems: Design Concept, Architecture, and Applications, In: N. V. Boulgouris, K. N. Plataniotis, and L. Micheli-Tzanakou (Editors), Biometrics: theory, methods, and applications, Wiley-IEEE Press

Zhang, D., You, X., Wang, P.S.P., Yanushkevich, S.N., and Tang Yuan Yan, Facial Biometrics using Non-tensor Product Wavelet and 2D Discriminant Techniques, International Journal of Pattern Recognition & Artificial Intelligence, Volume 23, Number 3, May 2009, pp.521–543

Yanushkevich, S.N., Hurley, D.; Wang, P.S.P., Editorial to the Special Issue on Biometrics, International Journal of Pattern Recognition & Artificial Intelligence, Volume 22, Issue 3, 2008, pp.367–369

Lee, Sang-Woong,Wang, P.S.P., Yanushkevich, S.N., Lee, Seong-Whan, Non-iterative 3D Face Recognition Based on Photometric Stereo, International Journal of Pattern Recognition & Artificial Intelligence, Volume 22, Issue 3, 2008, pp. 389–410

S. Yanushkevich, A. Stoica, V. Shmerko, Synthetic Biometrics, IEEE Computational Intelligence Magazine, Volume 2, Number 2, May 2007, pp. 60–69

S. Yanushkevich, V. Shmerko, A. Stoica, P.Wang, S. Srihari, Introduction to Synthesis in Biometrics, In: S. Yanushkevich, P. Wang, M. Gavrilova, S. Srihari (Editors), Image Pattern Recognition: Synthesis and Analysis in Biometrics, Machine Perception and Artificial Intelligence, Vol 67 (see content here), World Scientific Publishing Co., New Jersey-London-Singapore, pp. 5–29

S. Yanushkevich, A. Stoica, V. Shmerko, Fundamentals of Biometric-based Training, In: S. Yanushkevich, P. Wang, M. Gavrilova, S. Srihari (Editors), Image Pattern Recognition: Synthesis and Analysis in Biometrics, Machine Perception and Artificial Intelligence, Vol 67 (see content here), World Scientific Publishing Co., New Jersey-London-Singapore, pp. 365–406

S. N. Yanushkevich, A. Stoica, V. P. Shmerko, Experience of Design and Prototyping of a Multi-Biometric Early Warning Security Systems, The Annual IEEE-IES Conference IECON, Paris, France, November 2006.

S. N. Yanushkevich, A Concept of Intelligent Biometric-based Early Detection and Warning System, 4th Annual Conference on Privacy, Security and Trust, Markham, ON, Canada, October 2006.

S. N. Yanushkevich, A. Stoica, V. P. Shmerko, Semantic Framework for Biometric-based Access Control System, 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Alexandria, USA, October 2006.

S. Yanushkevich, Synthetic Biometrics: A Survey, In: Proceedings of the World Congress on Computational Intelligence, Vancouver, July 2006.

Yanushkevich S., Shmerko V., Stoica A., Popel D., Biometric Inverse Problems , CRC Press 

Yanushkevich S., Stoica A., Srihari S., Shmerko V., Gavrilova M., Simulation of Biometric Information: The New Generation of Biometric Systems. Proc. BT2004 Int'l Workshop on Biometric Technologies, Calgary, AB, Canada, pp.87-98 

Wang P., Yanushkevich S., Shmerko V., Using Polar Transform of Orientation Map in the task of Generation of Synthetic Fingerprints. Proc. BT2004 Int'l Workshop on Biometric Technologies, Calgary, AB, Canada, pp.163-172 

Gavrilova M., Computational Geometry and Biometrics: on the Path to Convergence. Proc. BT2004 Int'l Workshop on Biometric Technologies, Calgary, AB, Canada, pp.131-138 

Ayers T., Federkeil R., Nichols T., Parmar R., Modeling Fingerprints: Components for the Task of Synthesis, Proc. BT2004 Int'l Workshop on Biometric Technologies, Calgary, AB, Canada, pp.155-162