Edited Books

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 3804, 1st International Symposium, ISVC 2005, Lake Tahoe, NV, USA, December 5-7, 2005.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 4291, 4292, 2nd International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 4841, 4842, 3rd International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 5358, 5359, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 5875, 5876, 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 6453, 6454, 6455, 6th International Symposium, ISVC 2010, Las Vegas, NV, USA, November 29 - December 1, 2010.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 6938, 6939, 7th International Symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 7430, 7431, 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 8033, 8034, 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 8887, 8888, 10th International Symposium, ISVC 2014, Las Vegas, Nevada, USA, Dec 8-10, 2014.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 9474, 9475, 11th International Symposium, ISVC 2015, Las Vegas, Nevada, USA, Dec 14-16, 2015.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vols. 10072, 10073, 12th International Symposium, ISVC 2016, Las Vegas, Nevada, USA, Dec 12-14, 2016.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 11241, 13th International Symposium, ISVC 2018, Las Vegas, Nevada, USA, Nov 19-21, 2018.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 11844, 11845, 14th International Symposium, ISVC 2019, Lake Tahoe, Nevada, USA, October 7-9, 2019.

G. Bebis et al (eds) "Mathematical and Computational Oncology (Papers)", Lecture Notes in Computer Science (LNCS), Vol. 11826, 1st International Symposium, ISMCO 2019, Lake Tahoe, Nevada, USA, October 14-16, 2019.

G. Bebis et al (eds) "Mathematical and Computational Oncology (Abstracts)", Frontiers, 1st International Symposium, ISMCO 2019, Lake Tahoe, Nevada, USA, October 14-16, 2019.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 12509, 12510, 15th International Symposium, ISVC 2020 (virtual), October 5-7, 2020.

G. Bebis et al (eds) "Mathematical and Computational Oncology (Papers)", Lecture Notes in Bioinfomartics (LNBI), Vol. 12508, 2nd International Symposium, ISMCO 2020 (virtual), October 9-10, 2020.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 13017, 13018, 16th International Symposium, ISVC 2021 (virtual), October 4-6, 2021.

G. Bebis et al (eds) "Mathematical and Computational Oncology (Papers)", Lecture Notes in Bioinfomartics (LNBI), Vol. 13060, 3rd International Symposium, ISMCO 2021 (virtual), October 11-13, 2021.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 13598, 13599, 17th International Symposium, ISVC 2022, San Diego, CA, October 3-5, 2022.

El-Sayed El-Alfy, George Bebis, and Mengchu Zhou, "Intelligent Video Analytics: Clustering and Classification Application", CRC Press, Taylor & Francis Group, 2023.

G. Bebis et al (eds) "Advances in Visual Computing", Lecture Notes in Computer Science (LNCS), Vol. 14361, 14362, 18th International Symposium, ISVC 2023, Lake Tahoe, Nevada, October 16-19, 2023.




Editorials

George Bebis, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie, Dinler Antunes, Ken Chen, and Jinzhuang Dou, Advances in Mathematical and Computational Oncology", Frontiers in Physiology, September 20223

George Bebis, Doron Levy, Russell Rockne, Ernesto Lima, and Panayiotis Benos, Advances in Mathematical and Computational Oncology", Frontiers in Physiology, April 2022.

Paolo Spagnolo, Hamid Aghajan, George Bebis, Shaogang Gong, Amy Loutf,; Leonid Sigal, Wei-Shi Zheng"Large-Scale Visual Sensor Networks: Architectures and Applications", IEEE Transactions on Circuits and Systems for Video Technology, April 2021.

Athanasios Voulodimos, Nikolaos Doulamis, George Bebis, and Tania Stathaki, "Recent Developments in Deep Learning for Engineering Applications", Computational Intelligence and Neuroscience, May 2018.

N. Bourbakis and G. Bebis, "Digital Multimedia on Demand", IEEE Multimedia, January-March 2004.


Book Chapters

K. Michalopoulos, G. Bebis, and N. Bourbakis, "Synthesizing 2D Ground Images for Maps Creation and Detecting Texture Patterns", In: Virvou M., Tsihrintzis G.A., Tsoukalas L.H., Jain L.C. (eds) Advances in Artificial Intelligence-based Technologies. Learning and Analytics in Intelligent Systems, vol 22. Springer, 2021.

Alireza Tavakkoli, Mircea Nicolescu, George Bebis and Junxian Wang, "Background Learning with Support Vectors: Efficient Foreground Detection and Tracking for Automated Visual Surveillance", Thierry Bouwmans, Fatih Porikli, Benjamin Horferlin, Antoine Vacavant (editors), CRC Press, Taylor and Francis, pages 11.1-11.23, June 2014.

G. Bebis, "Fingerprint Indexing", Biometrics Encyclopedia, Springer-Verlag, pp. 491-496, 2009.

G. Bebis, "Face Recognition in the Thermal Spectrum, Biometrics Encyclopedia, Springer-Verlag, pp. 359-365, 2009.


Journal Publications

Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, George Bebis, and Javad Sattarvand, "A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation", Machine Vision and Applications, 35(67), 2024.

Marc Berghouse, George Bebis, and Alireza Tavakkoli, "Exploring the influence of attention for whole-image mammogram classification", Image and Vision Computing, 2024.

Mukul Badhan, Kasra Shamsaei, Hamed Ebrahimian, George Bebis, Neil P. Lareau, and Eric Rowell, "Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data", Remote Sensing, 16(4), 2024.

Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, and George Bebis, "Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size", Journal of Imaging, 10(1), 20, 2024.

Lazaro J. Perez, George Bebis, Sean A. McKenna and Rishi Parashar, "Solute transport prediction in heterogeneous porous media using random walks and machine learning", International Journal on Geomathematics, 14(30), 2023.

Ashwaq Alotaibi, Muhammad Hussain,Hatim AboAlSamh, Wadood Abdul, and George Bebis, "Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss", Sensors, vol. 22, no. 18, 2022.

K. Asghar, M.Saddique, M. Hussain, G. Bebis, and Z. Habib "Image Forgery Detection Using Noise and Edge Weighted Local Texture Features", Advances in Electrical and Computer Engineering (AECE), 2022.

Adhwa Alrashidi, Ashwaq Alotaibi, Muhammad Hussain, Helala AlShehri, Hatim A. AboAlSamh, and George Bebis, "Cross-Sensor Fingerprint Matching Using Siamese Network and Adversarial Learning", Sensors, 2021.

Duc Tran, Hung Nguyen, Uyen Le, George Bebis, Hung N. Luu, and Tin Nguyen, "A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis", Frontiers in Oncology (Advances in Mathematical and Computational Oncology), 2020.

Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, and Terry Fong, "Horizon Line Detection using Supervised Learning and Edge Cues", Computer Vision and Image Understanding (CVIU), vol. 191, 2020.

Ebrahim Emami, Touqeer Ahmad, George Bebis, Ara Nefian, and Terry Fong, "Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, 2019.

Yongjie Chu, Touqeer Ahmad, George Bebis, Lindu Zhao, "Low-resolution face recognition with single sample per person", Signal Processing, vol. 141, pp. 144-157, 2017.

A. Yazdanpanah, E. Regentova and G. Bebis, "Algebraic Iterative Reconstruction-Reprojection (AIRR) Method for High Performance Sparse-View CT Reconstruction", Applied Mathematics and Information Sciences, vol. 10, no. 6, pp. 1-8, 2016.

S. Khana, M, Hussain, H. Aboalsamhb, H. Mathkourb, G. Bebis, and M. Zakariahd, "Optimized Gabor features for mass classification in mammography", Applied Soft Computing, vol. 44, pp. 267-280, 2016.

A. Alahmadi, M. Hussain, H. Aboalsamh, G. Muhammad, G. Bebis, and H. Mathkour, "Passive Detection of Image Forgery using DCT and Local Binary Pattern", Signal, Image and Video Processing, 2016.

C. Moujahdi, G. Bebis, S. Ghouzali, M. Mikram and M. Rziza, "Biometric Template Protection Using Spiral Cube: Performance and Security Analysis", International Journal on Artificial Intelligence Tools, vol. 25, no. 1, 2016.

Shicai Yang, George Bebis, Yongjie Chua and Lindu Zhaoa "Effective Face Recognition Using Bag of Features with Additive Kernels", Journal of Electronic Imaging 2016.

Salabat Khan, Muhammad Hussain, Hatim Aboalsamh and George Bebis, "A comparison of different Gabor feature extraction approaches for mass classification in mammography", Multimedia Tools and Applications, pp. 1-25, 2015.

Touqeer Ahmad, George Bebis, Emma Regentova, Ara Nefian, and T. Fong, "Coupling Dynamic Programming with Machine Learning for Horizon Line Detection", International Journal on Artificial Intelligence Tools, vol. 24, no. 4, pp. 1-19, 2015.

M. Jiang, J. Kong, G. Bebis, and H. Huo, "Informative joints based human action recognition using skeleton contexts", Signal Processing: Image Communication, vol. 33, pp. 29-40, 2015.

Q. Tao, Z. Liu, G. Bebis, and M. Hussain, "Face Recognition Using a Novel Image Representation Scheme and Multi-Scale Local Features", International Journal of Biometrics, vol. 7, no. 3, pp. 191-212, 2015.

F. Tafazzoli, G. Bebis, S. Louis, and M. Hussain, "Genetic Feature Selection for Gait Recognition", Journal of Electronic Imaging, vol. 24, no. 1, pp. 1-14, 2015.

M. Hussain, S. Qasem, G. Bebis, G. Muhammad, H. Aboalsahm, and H. Mathkour, "Evaluation of Image Forgery Detection Using Multi-Scale Weber Local Descriptors", International Journal on Artificial Intelligence Tool, vol. 24, no. 4, pp. 1-28, 2015.

A. Ambardekar, Mircea Nicolescu, G. Bebis, and Monica Nicolescu, "Vehicle Classification Framework: A Comparative Study", EURASIP Journal on Image and Video Processing, vol. 29, pp. 1-13, 2014.

C. Moujahdi, G. Bebis, S. Ghouzali, and M. Rziza, Fingerprint Shell: Secure Representation of Fingerprint Template", Pattern Recognition Letters, vol. 45, pp. 189-196, 2014.

G. Muhammad, M. Al-Hammadi, M. Hussain, G. Bebis, Image Forgery Detection Using Steerable Pyramid Transform and Local Binary Pattern", Machine Vision and Applications, vol 25, no 4, pp. 985-995, 2014.

A. Ambardekar, Mircea Nicolescu, G. Bebis, and Monica Nicolescu, "A Visual Traffic Surveillance Framework: Classification to Event Detection", Journal of Electronic Imaging, Special Issue on "Video Surveillance and Transportation Imaging Applications", vol. 22, no. 4, 2014.

A. K. Mandava, E. E. Regentova, G. Bebis, LFAD- Locally and Feature-Adaptive Diffusion Based Image Denoising", Applied Mathematics and Information Sciences, vol. 8, no. 1, pp. 1-12, 2014.

M. Jaberi, G. Bebis, M. Hussain, and G. Muhammad, Accurate and Robust Localization of Duplicated Region in Copy-Move Image Forgey", Machine Vision and Applications, vol. 25, pp. 451-475, 2014.

M. Hussain, S. Khan, G. Muhammad, and G. Bebis, Effective Extraction of Gabor features for False Positive Reduction and Mass classification in Mammography", Applied Mathematics and Information Sciences, vol. 8, no. 1L, pp. 397-412, 2014.

A. Mazoul, M. El Ansari, K. Zebbara and G. Bebis, Fast spatio-temporal stereo for intelligent transportation systems", Pattern Analysis and Applications, vol. 17, no. 1, 2014.

Ihsan Ullah, Aboalsamh, H., Hussain, M., Muhammad, G., Mirza, A. M., Bebis, G., Gender Classification using Texture Descriptor", Journal of Internet Technology, vol. 15(5), pp.801-812, Sept, 2014.

B. Li, E. Erdin, M. Gunes, G. Bebis, and T. Shipley, An Overview of Anonymity Technology Usage", Computer Communications, vol. 36, no. 12, pp. 1269-1283, 2013.

M. Hussain, I. Ullah, H. Aboalsamh, G. Muhammad, G. Bebis, and A. Mirza Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern", International Journal on Artificial Intelligence Tools, vol. 22, no. 5, pp. 2013.

B. Li, J. Springer, G. Bebis, and M. Gunes, A Survey Of Network Flow Applications", Journal of Networks and Computer Applications, vol. 36, pp. 567-581, 2013.

S. Yang, G. Bebis, M. Hussain, G. Muhammad, and A. Mirza, Unsupervised Discovery of Visual Face Categories", International Journal of Artificial Intelligence Tools, vol. 22, no. 1, 2013.

G. Muhammad, M. Hussain, F. Alenezy, G. Bebis, A. Mirza, and H. Aboalsamh, Race Classification from Face Images Using Local Descriptors", International Journal of Artificial Intelligence Tools, vol. 21, no. 5, 2012.

G. Muhammad, M. Hussain and G. Bebis, "Passive copy move image forgery detection using undecimated dyadic wavelet transform", Digital Investigation, vol. 9, pp. 49-57, 2012.

L. Loss, G. Bebis, and B. Parvin, "Iterative Tensor Voting for Perceptual Grouping of Ill-Defined Curvilinear Structures", IEEE Transactions on Medical Imaging, vol. 30, no. 8, pp. 1503-1513, 2011.

T. Patten, W. Li, G. Bebis, and M. Hussain, "Assessing Insect Growth Using Image Analysis", International Journal of Artificial Intelligence Tools, vol. 20, no. 3, pp. 511-530, 2011.

U. Rajanna, A. Erol, and G. Bebis, "A Comparative Study on Feature Extraction for Fingerprint Classification and Performance Improvements Using Rank-Level Fusion", Pattern Analysis and Applications, vol. 13, no. 3, pp. 263-272, 2010.

J. Wang, G. Bebis, Mircea Nicolescu, Monica Nicolescu, and R. Miller, "Improving Target Detection by Coupling It with Tracking", Machine Vision and Applications, vol. 20, no. 4, pp. 205-223, 2009.

T. Uz, G. Bebis, A. Erol, and S. Prabhakar, "Minutiae-Based Template Synthesis and Matching for Fingerprint Authentication", Computer Vision and Image Understanding (CVIU), vol 113, pp. 979-992, 2009.

G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu, "Hand-Based Verification and Identification Using Palm-Finger Segmentation and Fusion", Computer Vision and Image Understanding (CVIU) vol 113, pp. 477-501, 2009.

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "An Iterative Multi-Scale Tensor Voting Scheme for Perceptual Grouping of Natural Shapes in Cluttered Backgrounds", Computer Vision and Image Understanding (CVIU) vol. 113, no. 1, pp. 126-149, January 2009.

J. Martinez, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Integrating Perceptual Level of Detail with Head Pose Estimates and their Uncertainty", Machine Vision and Applications, vol 21, no. 1, pp. 69-83, 2009.

A. Tavakkoli, Mircea Nicolescu, G. Bebis, and Monica Nicolescu, "Non-Parametric Statistical Background Modeling for Efficient Foreground Region Detection", Machine Vision and Applications vol 20, no 6, pp. 395-409, 2009.

J. Usabiaga, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Global Hand Pose Estimation by Multiple Camera Ellipse Tracking", Machine Vision and Applications, vol 21, no. 1, pp. 1-15, 2009.

W. Li, G. Bebis, and N. Bourbakis, "3D Object Recognition Using 2D Views", IEEE Transactions on Image Processing, vol. 17, no. 11, pp. 2236-2255, 2008.

R. Kelley, C. King, A. Tavakkoli, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "An architecture for understanding intent using novel hidden Markov formulation", International Journal of Humanoid Robotics, (special issue on "Cognitive Humanoid Robots"), vol. 5, no. 2, pp. 243-264, 2008.

A. Tavakkoli, Mircea Nicolescu, G. Bebis, and Monica Nicolescu, "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds", International Journal on Artificial Intelligence Tools vol. 17, no. 4, pp. 635-658, 2008.

J. Usabiaga, G. Bebis, A. Erol, Mircea Nicolescu, and Monica Nicolescu, "Recognizing Simple Human Actions Using 3D Head Trajectories", Computational Intelligence (special issue on Ambient Intelligence), vol. 23, no. 4, pp. 484-496, 2007.

A. Erol, G. Bebis, M. Nicolescu, R. Boyle, X. Twombly, "Vision-Based Hand Pose Estimation: A Review", Computer Vision and Image Understanding (CVIU) (special issue on Vision for Human-Computer Interaction), vol. 108, no. 1-2, pp. 52-73, October/November 2007.

G. Bebis, A. Gyaourova, S. Singh, and I. Pavlidis, "Face Recognition by Fusing Thermal Infrared and Visible Imagery", Image and Vision Computing, vol. 24, no. 7, pp. 727-742, 2006.

Z. Sun, G. Bebis, and R. Miller, "On-road Vehicle Detection: A review", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 694-711, 2006.

Z. Sun, G. Bebis, and R. Miller, "Monocular Pre-crash Vehicle Detection: Features and Classifiers", IEEE Transactions on Image Processing , vol. 15, no. 7, pp. 2019-2034, July 2006.

Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization ", IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 2, pp. 125-137, 2005.

Z. Sun, G. Bebis, and R. Miller, "Object Detection Using Feature Subset Selection", Pattern Recognition, vol. 37, pp. 2165-2176, 2004.

N. Bourbakis, J. Gattiker, and G. Bebis "A Synergistic Model for Interpreting Human Activities and Events from Video", International Journal on Artificial Intelligence Tools , vol. 12, no. 1, 2003.

J. Dowdall, I. Pavlidis, and G. Bebis, "Face Detection in the Near-IR Spectrum", Image and Vision Computing, vol 21, no. 7, pp. 565-578, 2003.

G. Bebis. D. Egbert, and M. Shah, "Review of Computer Vision Education", IEEE Transactions on Education, vol. 46, no. 1, pp. 2-21, 2003.

G. Bebis. S. Louis, Y. Varol, and A. Yfantis, "Genetic Object Recognition Using Combinations of Views", IEEE Transactions on Evolutionary Computation, vol 6, no. 2, pp. 132-146, April 2002.

G. Bebis, S. Uthiram, and M. Georgiopoulos, " Face Detection and Verification Using Genetic Search", International Journal on Artificial Intelligence Tools, vol 9, no 2, pp. 225-246, 2000.

E.Yfantis, T. Lazarakis, G. Bebis, and M. Gallitano, " An Algorithm for Cancer Recognition of Ultrasound Images", International Journal on Artificial Intelligence Tools , vol 9, no 2, pp. 265-276, 2000.

G. Bebis, M. Georgiopoulos, M. Shah, and N. da Vitoria Lobo, " Indexing Based on Algebraic Functions of Views", Computer Vision and Image Understanding (CVIU), Vol. 72, No. 3, pp. 360-378, 1998.

G. Bebis, M. Georgiopoulos and N. La Vitoria Lobo, "Using Self-Organizing Maps to Learn Geometric Hashing Functions for Model-Based Object Recognition " IEEE Transactions on Neural Networks Vol 9, No. 3, pp. 560-570, 1998.

G. Bebis, G. Papadourakis and S. Orphanoudakis, " Curvature Scale Space Driven Object Recognition with an Indexing Scheme based on Artificial Neural Networks ", Pattern Recognition., Vol. 32, No. 7, pp. 1175-1201, 1999.

G. Bebis, M. Georgiopoulos, N. da Vitoria Lobo, and M. Shah, " Recognition by learning affine transformations", Pattern Recognition, Vol. 32, No. 10, pp. 1783-1799, 1999.

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "An Ordering Algorithm for Pattern Presentation in Fuzzy ARTMAP That Tends to Improve Generalization Performance ", IEEE Transactions on Neural Networks , Vol. 10, No. 4, pp. 768-778, 1999.

M. Georgiopoulos, I. Dagher, G. Heilman, and G. Bebis, "Properties of Learning of a Fuzzy ART Variant ", Neural Networks., Vol. 12, No. 6, pp. 837-850, 1999.

G. Bebis, M. Georgiopoulos and T. Kasparis, " Coupling Weight Elimination with Genetic Algorithms to Reduce Network Size and Preserve Generalization", Neurocomputing, Vol 17, No. 3&4, pp. 167-194, 1997.

M. Georgiopoulos, H. Fernlund, G. Bebis, and G. Heileman, " Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the choice parameter", Neural Networks.vol. 9, no. 9, pp. 1541-1559, 1996.

G. Bebis and M. Georgiopoulos, " Feed-forward neural networks: why network size is so important" , IEEE Potentials pp. 27-31, October/November 1994.

G. Bebis and G. Papadourakis, "Object Recognition Using Invariant Object Boundary Contour Representations and Neural Network Models ", Pattern Recognition, Vol. 25, No. 1, pp. 25-44, January 1992.

G. Bebis, G. Papadourakis and M. Georgiopoulos, " Back Propagation: Increasing Rate of Convergence by Predictable Pattern Loading ", Intelligent Systems Reviews, Vol. 1, No. 3, pp. 14-30, 1989.

G. Papadourakis and G. Bebis, "Artificial Neural Networks I", Technika Chronika Scientific Journal of the Technical Chamber of Greece, Vol. 11, No. 3, pp. 57-73, 1991.

G. Papadourakis and G. Bebis, "Artificial Neural Networks II", Technika Chronika Scientific Journal of the Technical Chamber of Greece, Vol. 12, No. 1, pp. 107-131, 1992.


Conference Publications

Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, and George Bebis, Supervised Pectoral Muscle Removal in Mammography Images", 22nd International Conference on Artificial Intelligence in Medicine, Slat Lake City, July 9-12, 2024.

Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, and George Bebis, ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images", 32nd International Conference on Artificial Neural Networks (ICANN'23), Heraklion, Crete, Greece, September 26-29, 2023.

Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, and George Bebis, Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images", 18th International Symposium on Visual Computing (ISVC'23), Lake Tahoe, Nevada, USA, October 16-18, 2023.

Marc Berghouse, George Bebis, and Alireza Tavakkoli, Investigating the Impact of Attention on Mammogram Classification", 18th International Symposium on Visual Computing (ISVC'23), Lake Tahoe, Nevada, USA, October 16-18, 2023.

Aminul Huq, Dimitris Zermas, and George Bebis, Identification of Abnormality in Maize Plants from UAV Images Using Deep Learning Approaches", 18th International Symposium on Visual Computing (ISVC'23), Lake Tahoe, Nevada, USA, October 16-18, 2023.

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Sal Baker, SWIN-SFTNET: Spatial Feature Expansion and Aggregation Using SWIN Transformer for Whole Breast Micro-Mass Segmentation ", IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena de Indias, Colombia, April 18-21, 2023.

Adarsh Sehgal, Muskan Sehgal, Hung Manh La, and George Bebis, Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms", 17th International Symposium on Visual Computing (ISVC'22), San Diego, CA, USA, October 3-5, 2022.

Prithul Sarker, Sushmita Sarker, George Bebis, and Alireza Tavakkoli, ConnectedUNets++: Mass Segmentation from Whole Mammographic Images", 17th International Symposium on Visual Computing (ISVC'22), San Diego, CA, USA, October 3-5, 2022.

Yan Yang, George Bebis and Mircea Nicolescu, Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real", 2nd International Conference on Image Processing and Vision Engineering, Prague, Czech Republic, April 22-24, 2022.

Touqeer Ahmad, Ebrahim Emami, Martin Cadik, and George Bebis Resource Efficient Mountainous Skyline Extraction using Shallow Learning", International Joint Conference on Neural Networks (IJCNN'21), (Virtual), July 18-22, 2021.

Touqeer Ahmad, Pavel Campr, Martin Cadik, and George Bebis, Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection", International Joint Conference on Neural Networks (IJCNN'17), Anchorage, Alaska, May 14-19, 2017.

Touqeer Ahmad, David Ilstrup, Ebrahim Emami, and George Bebis , Symbolic Road Marking Recognition Using Convolutional Neural Networks", IEEE Intelligent Vehicles Symposium (IV'17), Redondo Beach, CA, June 11-14, 2017.

Ebrahim Emami, George Bebis, Ara Nefian, and Terry Fong, On Crater Verification Using Mislocalized Crater Regions", IEEE Workshop on Applications in Computer Vision (WACV'17), Santa Rosa, CA, March 27-30, 2017.

Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer and George Bebis, "A Compact Task Representation for Hierarchical Robot Control", IEEE-RAS International Conference on Humanoid Robots, Cancun, Mexico, 2016.

Yu Ding, Mircea Nicolescu, Dan Farmer, Yao Wang, George Bebis, and Fabien Scalzo, "Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms", 12th International Symposium on Visual Computing (ISVC'16), Las Vegas, NV, 2016.

Raqinah Alrabiah, Muhammad Hussain, Hatim A. Aboalsamh, Mansour Zuair, and George Bebis, "PH-BRINT: Pooled Homomorphic Binary Rotation Invariant and Noise Tolerant Representation for Face Recognition under Illumination Variations", 12th International Symposium on Visual Computing (ISVC'16), Las Vegas, NV, 2016.

Mariam Busaleh, Muhammad Hussain, Hatim A. Aboalsamh, Mansour Zuair, and George Bebis, "False Positive Reduction in Breast Mass Detection using the Fusion of Texture and Gradient Orientation Features", 12th International Symposium on Visual Computing (ISVC'16), Las Vegas, NV, 2016.

Muhammad Hussain, Awabed Jibreen, Hatim Aboalsmah, Hassan Madkour, George Bebis and Gholamreza Amayeh, "Feature Selection for Hand-Shape Based Identification", International Joint Conference, Advances in Intelligent Systems and Computing, 2015.

Ebrahim Emami, George Bebis, Ara Nefian, and T. Fong, Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks", 11th International Symposium on Visual Computing (ISVC'15), Las Vegas, Nevada, December 14-16, 2015.

Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, and T. Fong, An Edge-Less Approach to Horizon Line Detection", IEEE International Conference on Machine Learning and Applications (ICMLA'15), Miami, Florida, December 9-11, 2015.

Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, and T. Fong, Fusion of Edge-less and Edge-based Approaches for Horizon Line Detection", International Conference on Information, Intelligence, Systems and Applications (IISA'15), Corfu, Greece, July 6-8, 2015.

Touqeer Ahmad, George Bebis, Emma Regentova, Ara Nefian, and T. Fong, An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection", 10th International Symposium on Visual Computing (ISVC'14), Las Vegas, Nevada, USA, December 8-10, 2014.

Faezeh Tafazzoli, George Bebis, Sushil Louis and Muhammad Hussain, Improving Human Gait Recognition Using Feature Selection", 10th International Symposium on Visual Computing (ISVC'14), Las Vegas, Nevada, USA, December 8-10, 2014.

Ali Pour Yazdanpanah, Ajay K.Mandava, Emma E. Regentova, Venkatesan Muthukumar, and George Bebis, A CUDA based Implementation of Locally- and Feature- Adaptive Diffusion based Image Denoising Algorithm", International Conference on Information Technology: New Generations, 2014.

Muhammad Hussain, Sahar Q. Saleh, Hatim Aboalsamh, Ghulam Muhammad, and George Bebis Comparison between WLD and LBP Descriptors for Non-intrusive Image Forgery Detection ", IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2014.

Muhammad Hussain, Sarah Al-Otaibi, Hatim Aboalsamh, George Bebis, and Ghulam Muhammad Nonsubsampled Contourlet Transform Based Descriptors for Gender Recognition", 11th International Conference on Computer Graphics, Imaging and Visualization, 2014.

A. Nefian, X. Boyssounousse, L. Edwards, T. Kim, E. Hand, J. Rhizor, M. Deans, G. Bebis, and T. Fong, Planetary Rover Localization within Orbital Maps", International Conference on Image Processing, Paris, France, October 27-30, 2014.

A. Nefian, X. Boyssounousse, L. Edwards, T. Kim, E. Hand, J. Rhizor, M. Deans, G. Bebis, and T. Fong, Infrastructure free rover localization ", International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Montral, Canada, June 17-19, 2014.

Alomar, F.A. ; Muhammad, G. ; Aboalsamh, H. ; Hussain, M. ; Mirza, A.M. ; Bebis, G., Gender recognition from faces using bandlet and local binary patterns ", International Conference on Systems, Signals and Image Processing (IWSSIP), Bucharest, Romania, July 7-9, 2013.

Miran Kim, Jeff Angermann, George Bebis and Eelke Folmer, ViziCal: Accurate Energy Expenditure Prediction for Playing Exergames", ACM Symposium on User Interface Software and Technology (UIST'13), St Andrews, UK, Oct. 8-11, 2013.

Alamri, T. ; Hussain, M. ; Aboalsamh, H. ; Muhammad, G. ; Bebis, G. ; Mirza, A.M., Category Specific Face Recognition Based on Gender ", International Conference on Information Science and Applications (ICISA), Pattaya, Thailandm June 24-26, 2013.

Hussain, M. ; Muhammad, G. ; Saleh, S.Q. ; Mirza, A.M. ; Bebis, G., Image forgery detection using multi-resolution Weber local descriptors ", IEEE EUROCON, Zagreb, Croatia, July 1-4, 2013.

Muhammad, G. ; Al-Hammadi, M.H. ; Hussain, M. ; Mirza, A.M. ; Bebis, G. , Copy move image forgery detection method using steerable pyramid transform and texture descriptor ", IEEE EUROCON, Zagreb, Croatia, July 1-4, 2013.

Touqeer Ahmad, George Bebis, Emma Regentova, and Ara Nefian, A Machine Learning Approach to Horizon Line Detection Using Local Features", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.

Ilias Apostolopoulos, Eelke Folmer, and George Bebis, Improving Accessibility of Virtual Worlds by Automatic Object Labeling", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.

Sahar Q. Saleh, Muhammad Hussain, Ghulam Muhammad and George Bebis, Evaluation of Image Forgery Detection Using Multi-Scale Weber Local Descriptors", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.

A.M. Mirza, M. Hussain, H. Almuzaini, G. Muhammad, H. Aboalsamh and G. Bebis, Gender Recognition using Fusion of Local and Global Facial Features", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.

Ali Pour Yazdanpanah, Emma E. Regentova, Ajay Kumar Mandava, and George Bebis, Sky Segmentation by Fusing Clustering with Neural Networks", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.

A. Mandava, E. Regentova and G. Bebis, FLAD-Feature Based Locally Adaptive Diffusion Based Image Denoising", International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, NV, July 22-25, 2013, pp.746-752.

M. Jaberi, G. Bebis, M. Hussain, and G. Muhammad, Improving the Detection and Localization of Duplicated Regions in Copy-Move Image Forgery", 18th International Conference on Digital Signal Processing, Santorini, Greece, July 1-3 2013.

M. Hussain, G. Muhammad, and G. Bebis, "Face Recognition using Multiscale and Spatially Enhanced Weber Law Descriptor", 8th International Conference on Signal Image Technology and Internet Based Systems, Nov. 25-29, 2012, Naples, Italy.

M. Hussain, G. Muhammad, Q. Sahar, G. Bebis, and A. Mirza, "Copy-move Image Forgery Detection using Multi-resolution Weber Descriptors", 8th International Conference on Signal Image Technology and Internet Based Systems, Nov. 25-29, 2012, Naples, Italy.

M. Hussain, S. Khan, G. Muhammad, and G. Bebis, "A Comparison of Different Gabor features for Mass Classification in Mammography", 8th International Conference on Signal Image Technology and Internet Based Systems, Nov. 25-29, 2012, Naples, Italy.

G. Muhammad, M. Hussain, F. Alenezy, A. Mirza, G. Bebis, and H. Aboalsamh, "Race recognition using local descriptors", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1525-1528, 2012.

G. Muhammad, M. Hussain, A. Mirza, and G. Bebis, "Dyadic wavelets and DCT based blind copy-move image forgery detection", IET Conference on Image Processing, 2012.

M. Hussain, S. Khan, G. Muhammad, M. Berbar, and G. Bebis, "Mass detection in digital mammograms using Gabor filter bank", IET Conference on Image Processing, 2012.

L. Loss, G. Bebis, H. Chang, M. Auer, P. Sarkar, and B. Parvin, "Automatic Segmentation and Quantification of Filamentous Structures in Electron Tomography", ACM Conference on Bioinformatics, Computational Biology and Biomedicine, Orlando, Florida, October 7-10, 2012.

G. Muhammad, M. Hussain, F. Alenezy, G. Bebis, and A. Mirza, "Race Recognition From Face Images Using Weber Local Descriptor", International Conference on Systems, Signals, and Image Processing, Vienna, Austria, April 11-13, 2012.

I. Ullah, M. Hussain, G. Muhammad, H. Aboalsamh, G. Bebis, and A. Mirza, "Gender Recognition from Face Images with Local WLD Descriptor", International Conference on Systems, Signals, and Image Processing, Vienna, Austria, April 11-13, 2012.

I. Ullah, M. Hussain, G. Muhammad, H. Aboalsamh, G. Bebis, and A. Mirza, "Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern", International Symposium on Visual Computing , Rethymnon, Crete, Greece, July, 2012.

C. Moujahdi, S. Ghouzali, M. Mikram, M. Riza, and G. Bebis, "Spiral Cube for Biometric Template Protection", International Conference on Image and Signal Processing, Agadir, Morocco, June, 2012.

N. Muhammad, M. Hussain, G. Muhamad, and G. Bebis, "Copy-Move Forgery Detection Using Dyadic Wavelet Transform ", IEEE International Conference on Computer Graphics, Imaging and Visualization (CGIV'11), Singapore, August 17-19, 2011.

B. Li, E. Erdin, M. Gunes, G. Bebis and T. Shipley, "Analyzing the Usage of Anonymity Services", 3rd COST TMA International Workshop on Traffic Monitoring and Analysis, Vienna, Austria, April 27, 2011.

N. Muhammad, M. Hussain, G. Muhamad, and G. Bebis, "A Non-intrusive Method for Copy-Move Forgery Detection", 7th International Symposium on Visual Computing (ISVC'11), LNCS vol. 6939, Las Vegas, USA, September 26-28, 2011.

Mohamed El Ansari, Abdenbi Mazoul, Abdelaziz Bensrhair, George Bebis, "A Real-time Spatio-Temporal Stereo Matching for Road Applications", 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA. October 5-7, 2011.

G. Muhammad, M. Hussain, K. Khawaji, and G. Bebis, "Blind Copy Move Image Forgery Detection Using Dyadic Uncedimated Wavelet Transform", 17th International Conference on Digital Signal Processing, Corfu, Greece, July 6-8, 2011.

J. Gleason, A. Nefian, X. Bouyssounousse, T. Fong and G. Bebis, "Vehicle Detection from Aerial Imagery", IEEE International Conference on Robotics and Automation (ICRA11), Shanghai, China, May 9-13, 2011.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos", 6th International Symposium on Visual Computing, Las Vegas, Nevada, Nov 29 - Dec 1, 2010.

G. Amayeh, G. Bebis, and M. Hussain, "A Comparative Study of Hand Recognition Systems", Workshop on Emerging Techniques and Challenges for Hand-based Biometrics (in conjunction with ICPR 2010), Istanbul, Turkey, August 22, 2010.

M. El Ansari, S. Mousset, A. Bensrhair, and G. Bebis, "Temporal Consistent Fast Stereo Matching for Advanced Driver Assistance Systems (ADAS)", IEEE Intelligent Vehicles Symposium (IV10), San Diego, CA, June 21-24, 2010.

G. Amayeh, A. Tavakkoli, and G. Bebis, "Accurate and Efficient Computation of Gabor Features in Real-Time Applications", 5th Internatonal Symposium on Visual Computing (ISVC09), Las Vegas, Nevada, USA, November 30 - December 2, 2009.

G. Amayeh, G. Bebis, and M. Nicolescu, "Improving Hand-Based Verification Through Online Finger Template Update Based on Fused Confidences", IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS09), September 28-30, 2009, Washington DC.

L. Loss, G. Bebis, and B. Parvin, "Tunable Tensor Voting Improves Grouping of Membrane-Bound Macromolecules", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, (in conjunction with CVPR09), Miami, USA, June 20, 2009.

L. Loss, G. Bebis, and B. Parvin, "Tunable Tensor Voting for Rregularizing Punctate Patterns of Membrane-Bound Protein Signals", IEEE International Symposium on Biomedical Imaging, Boston, USA, June 28 - July 1, 2009.

A. Tavakkoli, R. Kelly, C. King, Mircea Nicolescu, Monica Nicolescu, G. Bebis, "A Visual Tracking Framework for Intent Recognition in Videos", 4th International Symposium on Visual Computing, Las Vegas, Nevada, USA, December 2008.

F. Scalzo, G. Bebis, Mircea Nicolescu, L. Loss, and A. Tavakkoli, "Feature Fusion Hierarchies for Gender Classification", International Conference on Pattern Recognition (ICPR08), December 2008.

A. Tavakkoli, Mircea Nicolescu, G. Bebis and Monica Nicolescu, "Efficient Background Modeling through Incremental Support Vector Data Description", International Conference on Pattern Recognition (ICPR08), December 2008.

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "Investigating How and When Perceptual Organization Cues Improve Boundary Detection in Natural Images", IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR08), 2008.

G. Amayeh, G. Bebis and M. Nicolescu, "Gender Classification from Hand Shape", IEEE Workshop on Biometrics (in conjunction with CVPR08), 2008.

A. Tavakkoli, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos", Signal and Image Processing (SIP08), August 2008.

A. Ambardekar, M. Nicolescu, and G. Bebis, "Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System ", Signal and Image Processing (SIP08), August 2008.

F. Scalzo, G. Bebis, M. Nicolescu, and L. Loss, "Multimodal Feature Fusion Hierarchies", Benelearn, Spa, Belgium, May 2008.

K. McDermott, I. Juricevic, G. Bebis, and M. Webster, "Adapting Images to Observers", SPIE Electronic Imaging (Human Vision and Electronic Imaging XIII), vol. 6806, San Jose, CA, January 2008.

R. Kelley, A. Tavakkoli, C. King, Monica Nicolescu, Mircea Nicolescu, and George Bebis, "Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots", ACM/IEEE International Conference on Human-Robot Interaction, Amsterdam, Netherlands, March 2008.

G. Amayeh, G. Bebis, A. Erol and M. Nicolescu, "A new approach to hand-based authentication", SPIE Defense and Security Symposium (DS26: Biometric Technology for Human Identification V), Orlando, FL, April 2007,.

G. Amayeh, G. Bebis, A. Erol and M. Nicolescu, "
A component-based approach to Hand Verification", IEEE Workshop on Biometrics (in conjunction with CVPR07), Minneapolis, MN, June 2007.

A. Tavakkoli, R. Kelley, C. King, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "
A Vision-based Architecture for Intent Recognition", 3rd International Symposium on Visual Computing (ISVC07), Lecture Notes of Computer Science (LNCS), vol. 4842, pp. 173-182, November 26-28, 2007, Lake Tahoe, NV.

M. Webster, K. McDermott, and G. Bebis, "Fitting the world to the mind: Transforming images to mimic perceptual adaptation", 3rd International Symposium on Visual Computing (ISVC07), Lecture Notes of Computer Science (LNCS), vol. 4842, pp. 757-768, November 26-28, 2007, Lake Tahoe, NV.

T. Uz, G. Bebis, A. Erol, and S. Prabhakar, "Minutia-Based Template Synthesis and Matching Using Hierarchical Delaunay Triangulations", IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS07), September 27-29, 2007, Washington DC.

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds", British Machine Vision Conference (BMVC 2007), University of Warwick, UK, September 10-13, 2007.

G. Amayeh, S. Kasaei, G. Bebis, A. Tavakkoli, and K. Veropoulos, "Improvement of Zernike Moment Descriptors on Affine Transformed Shapes", International Symposium on Signal Processing and its Applications (ISSPA07), United Arab Emirates, February 12-15, 2007.

L. Loss, G. Bebis, M. Nicolescu, and A. Skourikhine, "Perceptual Grouping Based on Iterative Multi-Scale Tensor Voting", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

J. Usabiaga, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Global Hand Pose Estimation by Multiple Camera Ellipse Tracking", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

N. Bourbakis and G. Bebis, "A Method for Associating Patterns of Motion in Events from Video: A Case Study", IEEE International Conference on Tools with Artificial Intelligence (ICTAI06), Washington, DC, November 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds", International Conference on Pattern Recognition (ICPR06), Hong Kong, August 2006.

G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu, "Peg-Free Hand Shape Verification Using High Order Zernike Moments", IEEE Workshop on Biometrics (in conjunction with CVPR06), New York, NY, June 2006.

J. Wang, G. Bebis, and R. Miller, "Robust Video-Based Surveillance by Integrating Target Detection with Tracking", IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum (in conjunction with CVPR06), New York, NY, June 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "An Adaptive Recursive Learning Technique for Robust Foreground Object Detection", Workshop on Statistical Methods in Multi-image and Video Processing, (in conjunction with ECCV06), Graz, Austria, May 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Automatic Statistical Object Detection for Visual Surveillance", IEEE Southwest Symposium on Image Analysis and Interpretation, Denver, CO, March 2006.

K. McDermott, J. Mulligan, G. Bebis, and M. Webster, "Visual Search and Eye Movements in Novel and Familiar Contexts", SPIE Electronic Imaging (Human Vision and Electronic Imaging XI), San Jose, January 2006.

K. Veropoulos, G. Bebis, and M. Webster, "Investigating the Impact of Face Categorization on Recognition Performance", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

G. Amayeh, A. Erol, G. Bebis, and M. Nicolescu, "Accurate and Efficient Computation of High Order Zernike Moments", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

J. Martinez, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Rendering Optimizations Guided by Head-Pose Estimates and their Uncertainty", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Automatic Robust Background Modeling Using Multivariate Non-Parametric Kernel Density estimation for Visual Surveillance", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

A. Erol, G. Bebis, M. Nicolescu, R. Boyle and X. Twombly, "A Review on Vision-Based Full DOF Hand Motion Estimation", IEEE Workshop on Vision for Human-Computer Interaction, (in conjunction with CVPR05) San Diego, CA, June 21, 2005.

N. Goel, G. Bebis, A. Nefian, "Face Recognition Experiments with Random Projection", SPIE Defense and Security Symposium (Biometric Technology for Human Identification), Orlando, FL, March 28 - April 1, 2005.

A. Erol, G. Bebis, R. Boyle and M. Nicolescu, "Visual Hull Construction Using Adaptive Sampling", IEEE Workshop on Applications of Computer Vision, Breckenridge, CO, January 5-7, 2005.

T. Patten, W. Li, G. Bebis, and M. Freeman, "Automatic Heliothis Zea Classification Using Image Analysis", IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, FL, November 15-17, 2004.

K. She, G. Bebis, H. Gu, and R. Miller, "Vehicle Tracking Using On-Line Fusion of Color and Shape Features", IEEE International Conference on Intelligent Transportation Systems, Washington, DC, October 3-6, 2004.

Z. Sun, G. Bebis, and R. Miller, "On-road Vehicle Detection Using Optical Sensors: A Review", IEEE International Conference on Intelligent Transportation Systems, Washington, DC, October 3-6, 2004.

G. Cong, M. Eser, B. Parvin, and G. Bebis, "Shape Metamorphism Using p-Laplacian Equation", International Conference on Pattern Recognition (ICPR), Cambridge UK, 23-26 August 2004.

W. Li, G. Bebis, and N. Bourbakis, "Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition", IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington DC, June 28, 2004.

S. Singh, A. Gyaourova, G. Bebis, and I. Pavlidis, "Infrared and Visible Image Fusion for Face Recognition", SPIE Defense and Security Symposium (Biometric Technology for Human Identification), Orlando, 12-16 April, 2004.

A. Gyaourova, G. Bebis, and I. Pavlidis, "Fusion of Infrared and Visible Images for Face Recognition", European Conference on Computer Vision (ECCV04), Prague, May 11-14, 2004.

V. Nikulin and G. Bebis, "Multiresolution Image Retrieval Through Fusion", SPIE Electronic Imaging (Storage and Retrieval Methods and Applications for Multimedia), San Jose, January 2004.

Z. Sun, G. Bebis, and R. Miller, "Evolutionary Gabor Filter Optimization with Application to Vehicle Detection", IEEE International Conference on Data Mining, pp. 307-314, Melbourne FL, November 2003.

J. Bhatt, N. Lobo, M. Shah, and G. Bebis "Automatic recognition of a baby gesture", IEEE International Conference on Tools with Artificial Intelligence, November 2003, Sacremento.

Z. Sun, G. Bebis, and R. Miller, "Boosting Object Detection Using Feature Selection", IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 290-296, Miami, July 2003.

Z. Sun, Z. Sun, Y. Varol and G. Bebis, "A distributed Visual Surveillance System", IEEE International Conference on Advanced Video and Signal Based Surveillance, Miami, July 2003.

J. Dowdall, I. Pavlidis, and G. Bebis "Face Detection in the Near-IR Spectrum", AeroSense SPIE Conference, April 2003, Orlando.

Dwight Egbert, George Bebis, and Dave Williams, "Computer Vision Research Teaching Modules for Community College Computer Science and Engineering Courses", 2003 ASEE Annual Conference & Exposition, June 2003.

G. Bebis and D. Egbert, "Using Computer Vision to Improve Learning and Knowledge Acquisition, 4th International Conference on Information Communication Technologies in Education, Samos, Greece, July 2003.

G. Bebis and D. Egbert, "Integrating Teaching with Research Using Computer Vision Examples, International Conference on Computers and Advanved Technology in Education, Rhodes, Greece, July 2003.

Z. Sun, G. Bebis, X. Yuan, and S. Louis, "Genetic Feature Subset Selection for Gender Classification: A Comparison Study", IEEE Workshop on Applications of Computer Vision, pp. 165-170, Orlando, December 2002.

Z. Sun, R. Miller, G. Bebis, and D. DiMeo, "A Real-time Precrash Vehicle Detection System", IEEE Workshop on Applications of Computer Vision, pp. 171-176, Orlando, December 2002.

Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection Using Gabor Filters and Support Vector Machines", IEEE International Conference on Digital Signal Processing, Santorini, Greece, July 2002.

Z. Sun, G. Bebis, and R. Miller, "Improving the Performance of On-Road Vehicle Detection by Combining Gabor and Wavelet Features", IEEE International Conference on Intelligent Transporation Systems, Singapore, September 2002.

Z. Sun, G. Bebis, and R. Miller, "Quantized Wavelet Features and Support Vector Machines for On-Road Vehicle Detection", IEEE International Conference on Control, Automation, Robotics and Vision, Singapore, December 2002.

B. Carlson, G. Bebis, and C. Looney, "Minutiae Detection Through Classifier Fusion and Clustering", International Conference on Imaging Science, Systems, and Technology, Las Vegas, June 2002.

D. Egbert, G. Bebis, M. McIntosh, N. LaTourrette, and A. Mitra "Computer Vision Research as a Teaching Tool in CS1",32nd ASEE/IEEE Frontiers in Education Conference, Boston, November 2002.

W. Abd-Almageed, S. Fadali, and G. Bebis "A Non-intrusive Kalman Filter-Based Tracker for Pursuit Eye Movement", American Control Conference 2002 (ACC'02) May 8-10, 2002, Anchorage, Alaska.

Z. Sun, X. Yuan, G. Bebis, and S. Louis, "Neural-Network-Based Gender Classification Using Genetic Eigen-Feature Extraction", IEEE International Joint Conference on Neural Networks, May 2002, Honoloulu, Hawaii.

J. Dowdall, I. Pavlidis, and G. Bebis "A Face Detection Method Based on Multi-Band Feature Extraction in the Near-IR Spectrum",IEEE Workshop on Computer Vision Beyond the Visible Spectrum December 14, 2001, Hawaii.

N. Bourbakis, G. Bebis, and J. Gattiker "A Synergistic Model for Interpreting Human Activities and Events from Video: A Case Study", IEEE International Conference on Tools with Artificial Intelligence, pp. 132-139, Vancouver, Canada, 2000.

E. Yfantis, T. Lazarakis, A. Popovitch, A. Angelopoulos, and G. Bebis, "On Cancer Recognition of Ultrasound Images", IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, pp 44-54, Hilton Head Island, 2000.

G. Bebis and K. Fujimura, "An Eigenspace Approach to Eye-Gaze Estimation", ISCA 13th International Conference on Parallel and Distributed Computing Systems (Special Session on Digital Video and Digital Audio), pp. 604-609, Las Vegas, 2000.

G. Bebis, T. Deaconu and M. Georgiopoulos, " Fingerprint Identification Using Delaunay Triangulation", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99) , pp. 452-459, Maryland, 1999.

G. Bebis, S. Uthiram and M. Georgiopoulos, " Genetic Search for Face Detection and Verification", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99) , pp. 360-368, Maryland, 1999.

E. Yfantis, T. Lazarakis, G. Bebis, and G. Gallitano "A Computer Algorithm for Cancer Recognition on Ultrasound Images of Prostate Tissue", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99) , pp. 34-39, Maryland, 1999

G. Bebis, M. Georgiopoulos and N. La Vitoria Lobo, "Learning Geometric Hashing Functions for Model Based Object Recognition", Fifth International Conference on Computer Vision (ICCV-95), pp. 543-548, M.I.T., Cambridge, Massachusetts, June 1995.

G. Bebis, M. Georgiopoulos, N. da Vitoria Lobo and M. Shah, " Learning Affine Transformations of the Plane for Model-based Object Recognition ", 13th International Conference on Pattern Recognition (ICPR-96), vol. IV, pp. 60-64, Vienna, Austria, August 1996.

G. Bebis, M. Georgiopoulos, and T. Kasparis, "Coupling Weight Elimination and Genetic Algorithms", International Conference on Neural Networks (ICNN-96), vol. 2, pp. 1115-1120, Washington, DC, June 1996.

M. Georgiopoulos, H. Fernlund, G. Bebis, and G. Heileman, "Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter", invited paper, International Conference on Neural Networks (ICNN-96). Panel and Special Session, pp. 215-220, Washington, DC, June 1996. .

G. Bebis and M. Georgiopoulos, "Improving Generalization by Using Genetic Algorithms to Determine the Neural Network Size", Proceedings of the Southcon/95 Conference, pp. 592-595, Ft. Lauderdale, Florida, March 1995.

P. Karkhanis and G. Bebis, "A Performance Evaluation of Variations to the Standard Back-propagation Algorithm", Proceedings of the Southcon/94 Conference, pp. 71-76, Orlando, Florida, March 1994.

G. Bebis, M. Georgiopoulos, G. Papadourakis and G. Heileman,"Increasing Classification Accuracy Using Multiple Neural Network Schemes", Proceedings of the SPIE (Inter. Soc. for Opt. Eng.), Vol. 1709, pp. 221-231, Orlando, Florida, April 1992.

G. Bebis and G. Papadourakis, "Model Based Object Recognition Using Artificial Neural Networks", Artificial Neural Networks, ICANN-91, Vol. 2, Kohonen et. al. (eds.), pp. 1111-1115, North-Holland, 1991.

G. Papadourakis and G. Bebis, "Artificial Neural Networks", (tutorial presentation), Proceedings of the Third Panhellenic Conference on Information Sciences, pp. 336-351, Athens, Greece, May 1991.

G. Papadourakis, G. Bebis and M. Georgiopoulos, "Machine Printed Character Recognition Using Artificial Neural Networks", Proceedings of the International Neural Networks Conference (INNS-90), pp. 392, Paris, 1990.

G. Bebis and G. Papadourakis, "Implementation of Character Recognition Using Neural Networks and Traditional Classifiers", Proceedings of the NEURONET International Symposium on Neural Networks and Neural Computing, pp. 33-36, Prague, September 1990.

G. Papadourakis, S. Micheloyannis, G. Bebis and M. Giaxnakis, "EEG Signal Classification Using Neural Networks ", Engineering Systems with Intelligence, EURISCON '91, S. Tzafestas (ed.), Kluwer Academic, pp. 221-228, 1991.

G. Papadourakis and G. Bebis, "The Design of a Systolic Architecture to Implement Graphic Transformations", Proceedings of the IEEE CompEuro '91 Conference, pp. 170-175, Bologna, Italy, May 1991.

G. Papadourakis, E. Gaga, G. Vareltzis and G. Bebis, "Use of ANN for Clinical Decision-Making (Maldescensus Testis), Proceedings of International Joint Conference on Neural Networks 92 (IJCNN 1992), Vol. III, pp. 159-164, Baltimore, Maryland, June 1992.

G. Bebis, M. Georgiopoulos, and S. Bhatia " Learning Orthorgraphic Transformations for Object Recognition", IEEE International Conference on Systems, Man, and Cybernetics, Vol 4, pp. 3576-3581, Orlando, FL, October 1997.

G. Anagnostopoulos, M. Georgiopoulos, D. Nickerson, and G. Bebis, "Extending the Power of Linear Hybrid Ensemble Methods", IEEE International Conference on Systems, Man, and Cybernetics, Vol 2, pp. 1350-1355, Orlando, FL, October 1997.

G. Bebis, M. Georgiopoulos, M. Shah, and N. da Vitoria Lobo, " Using Algebraic Functions of Views for Indexing-Based Object Recognition",6th International Conference on Computer Vision (ICCV-98), pp. 634-639, India, January 1998.

M. Georgiopoulos, I. Dagher, G. Heilman, and G. Bebis, "Properties of Learning of a Fuzzy ART Variant", International Conference on Neural Networks (ICNN-97), Vol. III, pp. 2012-2016, 1997.

S. Fadali and G. Bebis, "Control System Design for LTI Systems Using Interval Analysis", 13th International Conference on Computers and Their Applications (CATA-98), Hawaii, March 1998.

S. Louis, G. Bebis. S. Uthiram, and Y. Varol, "Genetic Search for Object Recognition", Lecture Notes in Computer Science 1447, V. Porto et. al (Eds.) (Seventh Annual Conference on Evolutionary Programming, San Diego, March 1998), pp. 199-208.

G. Bebis, S. Louis, and Y. Varol, "Using Genetic Algorithms for Model-Based Object Recognition", 1998 International Conference on Imaging Science, Systems, and Technology (CISST'98), Las Vegas, NV, July 1998, pp. 1-6.

G. Bebis, G. Papadourakis, and S. Orphanoudakis, " Recognition using Curvature Scale Space and Artificial Neural Networks", Signal and Image Processing (SIP'98), Las Vegas, NV, October 28-31, 1998.

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm", 1998 International Joint Conference on Neural Networks (IJCNN-98), Vol. 3, pp. 1688-1693, May 4-9, Alaska, 1998.

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "Ordered Fuzzy ARTMAP: A Fuzzy ARTMAP algorithm with a fixed order of pattern presentation", 1998 International Joint Conference on Neural Networks (IJCNN-98), Vol. 3, pp. 1717-1722, May 4-9, Alaska, 1998.

G. Bebis, S. Louis, and S. Fadali, "Using Genetic Algorithms for 3D Object Recognition", 11th International Conference on Computer Applications in Industry and Engineering( CAINE'98), pp. 13-16, Las Vegas, NV, November 1998.

Qiang Ji and George Bebis, "Visual Cues Extraction for Monitoring Driver's Vigilance", First HONDA Initiation Grant Forum: The HIG Symposium, pp. 48-55, 1999.