Publications


Dr Mohamed ElHelw's publications

M. Siam, M. ElHelw, “Enhanced Target Tracking in Aerial Imagery with P-N Learning and Structural Constraints”, International Conference on Computer Vision (ICCV), Workshop on Computer Vision in Vehicle Technology, Sydney, Australia, 2013.

A. Salaheldin, S. Maher, M. ElHelw, “Robust Real-Time Tracking with Diverse Ensembles and Random Projections”, International Conference on Computer Vision (ICCV), Workshop on Visual Object Tracking, Sydney, Australia, 2013.

A. Salaheldin, S. Maher, M. ElHelw, “Random Projections and Haar Cascades for Accurate Real-Time Vehicle Detection and Tracking”, Qatar Annual Research Conference, Doha, Qatar, 2013.

M. Siam, M. ElHelw, “Real-time Multiple Moving Vehicle Detection and Tracking Framework for Autonomous UAV Monitoring of Urban Traffic”, Qatar Annual Research Conference, Doha, Qatar, 2013.

M. Taie, K. Nasr, M. ElHelw, “ITS Navigation and Live Timetables for the Blind Based on RFID Robotic Localization Algorithms and ZigBee Broadcasting”, IEEE Robotics and Biomimetics (ROBIO), Shenzen, China, 2013.

M. Siam, M. ElHelw, “Tracking Ground Targets from a UAV Using New P-N Constraints”, IFAC Workshop on Research, Education and Development of Unmanned Aerial Systems, Compiegne, France.

S. Maher, R. Sayed, M. ElHelw, “Real-Time Vehicle Detection and Tracking Using Haar-Like Features and Compressive Tracking”, Iberian Robotics Conference (ROBOT’13), Madrid, Spain, 2013.

A. Salaheldin, S. Maher, M. ElHelw, “Robust Scale-Invariant Object Tracking”, Iberian Robotics Conference (ROBOT’13), Madrid, Spain, 2013.

A. Karali, M. ElHelw “Motion History of Skeletal Volumes and Temporal change in Bounding Volume Fusion for Human Action Recognition”, in Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Springer Berlin Heidelberg, 2013.

A. Fathy, S. Eldawlatly, A. Fahmy, M. ElHelw, "EEG Spectral Analysis for Attention State Assessment: Graphical Versus Classical Classification Techniques", IEEE EMBS International Conference on Biomedical Engineering and Sciences, Malaysia, 2012.

M. Siam and M. ElHelw, “Multiple Target Detection and Tracking in Aerial Imagery”, 11th IEEE Int. Conf. Signal Processing (ICSP-12), Beijing, China.

Menna Siam and Mohamed Elhelw, “Robust Real-time Multiple Moving Targets Detection and Tracking Framework for UAV Imagery”, IROS'12 2nd Workshop on Robots and Sensors integration in future rescue information systems (ROSIN'12), Algarve, Portugal.

M. Siam, R. ElSayed and M. ElHelw, “On-board Multiple Target Detection and Tracking on Camera-Equipped Aerial Vehicles”, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), Guangzhou, China.

M. Anwar, M. Diab and M. ElHelw, “Remote prognosis, diagnosis and maintenance for automotive architecture based on least squares support vector machine and multiple classifiers”, International Conference on Ultra Modern Telecommunications and Control Systems (ICUMT 2012), Saint Petersburg, Russia.

Hamad and M. ElHelw, “Distributed Component-Based Framework for Unmanned Aerial Vehicle Systems”, IEEE International Conference on Information and Automation (ICIA), China, June 2012.

Hamad and M. ElHelw, “Light-ECV: An Intelligent Lightweight Framework for Embedded Computer Vision Applications”, In Proceedings of The 5th International Conference on Pervasive Technologies Related to Assistive Environments, Greece, 2012.

Karali and M. ElHelw, “Motion History of Skeletal Volumes for Human Action Recognition”, In Springer LNCS: Proceedings of the 8th International Symposium on Visual Computing, Greece, 2012.

K. Mansour, W. Farag, M. ElHelw, “AiroDiag: A Sophisticated Tool that Diagnoses and Updates Vehicles Software over Air”. 12th IEEE International Electric Vehicle Conference, South Carolina, USA, March 2012.

M. El-Zahhar, M. ElHelw, “A Semi Supervised Learning-Based Method for Adaptive Shadow Detection”, IEEE International Conference on Signal and Image Processing Applications, KL, Malaysia, 2011.

M. ElHelw, J. Pansiot, D. McIlwraith, R. Ali, B. Lo and L. Atallah, An Integrated Multi-Sensing Framework for Pervasive Healthcare Monitoring'', in Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare 2009 (/best paper award/).

R. Maged, A. Mortada and M. ElHelw, “Sensor Explorer: Monitoring and Visualisation Framework for Pervasive Sensor Deployments”, Third Workshop of the Centre for Pervasive Sensing, Imperial College London, UK, 2009. (/poster/)

M.A. ElHelw, S. Atkins, M. Nicolaou, A. Chung and G.Z. Yang, “A Gaze-Based Study for Investigating the Perception of Photorealism in Simulated Scenes”, ACM Transactions on Applied Perception (TAP), vol. 5, no. 1, 2008.

O. Aziz, L. Atallah, B. Lo, M.A. ElHelw, L. Wang, G.Z. Yang, A. Darzi, “A Pervasive Body Sensor Network for Measuring Post-operative Recovery at Home”, Surgical Innovation, vol. 14, no. 2, 2007.

M.A. ElHelw, M. Nicolaou, A. Chung and G.Z. Yang, “Photorealistic Modelling of Tissue Reflectance Properties”, Computer Aided Surgery (CAS), vol. 11, no. 6, 2006.

R. Ali, M.A. ElHelw, L. Atallah, B. Lo and G.Z. Yang. Pattern Mining for Routine Behaviour Discovery in Pervasive Healthcare Environments. In the IEEE proceedings of the 5th International Conference on Information Technology and Applications in Biomedicine - ITAB 2008 (Accepted).

M.A. ElHelw, J. Pansiot, R. Ali, B. Lo, and G.Z. Yang, “Smart and Aware Pervasive Healthcare Environments”, Second Workshop of the Centre for Pervasive Sensing, Imperial College London, UK, 2008. (Poster)

B. Lo, L. Atallah, O. Aziz, M. ElHelw, A. Darzi, and G.Z. Yang, “Real-Time Pervasive Monitoring for Postoperative Care”, In the IEEE Proceedings of 4th International Workshop on Wearable and Implantable Body Sensor Networks, Springer, pp. 122-127, 2007.

L. Attalah, M.A. ElHelw, J. Pansiot, D. Stoyanov, B. Lo, and G.Z. Yang, “Profiling Patient Behavior using Ambient and Wearable Sensing”, In the IEEE Proceedings of 4th International Workshop on Wearable and Implantable Body Sensor Networks, Springer, pp. 133-138, 2007.

M.A. ElHelw, S. Atkins, M. Nicolaou, and G.Z. Yang, “Photo-Realistic Tissue Reflectance Modelling for Minimally Invasive Surgical Simulation”, In Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer LNCS 3749, pp. 868-875, 2005.

A. Chung, F. Deligianni, M.A. ElHelw, P. Shah, A. Wells, and G. Z. Yang, “Assessing Realism of Virtual Bronchoscopy Images Via Specialist Survey and Eye-Tracking”, Medical Image Perception XI (MIPS XI), Windermere, UK, 2005. (Abstract)

M.A. ElHelw, B.P. Lo, A.J. Chung, A. Darzi and G.Z. Yang, “Photorealistic Rendering of Large Tissue Deformation for Surgical Simulation”, In Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer LNCS 3216, pp. 355-362, 2004.

M.A. ElHelw, B.P. Lo, A Darzi and G.Z. Yang, “Real-Time Photo-Realistic Rendering for Surgical Simulation with Graphics Hardware”, In Proceedings of Medical Imaging and Augmented Reality (MIAR), Springer LNCS 3150, pp. 346-352, 2004.

M.A. ElHelw, A.J. Chung, A. Darzi and G.Z. Yang, “Image-Based Modelling of Soft Tissue Deformation”, In Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer LNCS 2878, pp. 83-90, 2003.

M.A. ElHelw, A. Chung and G.Z. Yang, “A Novel Method for Simulating Soft Tissue Deformation”, In Proceedings of Medical Image Understanding and Analysis (MIUA), University of Sheffield, pp. 83-90, 2003.

D. Stoyanov, M.A. ElHelw, B.P. Lo, A.J. Chung, F. Bello and G.Z. Yang, “Current Issues of Photorealistic Rendering for Virtual and Augmented Reality in Minimally Invasive Surgery”, In Proceedings of the Seventh International Conference on Information Visualization (IV03), IEEE, pp. 350-359, 2003.

M.A. ElHelw and G.Z. Yang, “Cylindrical Relief Texture Mapping”, In Proceedings of WSCG, ISSN 1213-6972, vol. 11, No. 1, pp. 125-132, 2003.



Dr Neamat El-Gayar's publications

E. Ahmed, N. El Gayar, A. Atiya and I. El Azab, "Fuzzy Gaussian Process Classification Model", accepted for presentation at ICIAR 2009 (International Conference on Image Analysis and Recognition), Halifax, Canada, July 6-8, 2009.

W. Azmy, N. El Gayar, A. Atiya and H. EL-Shishiny, "MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction", accepted for presentation at MCS 2009 (8th International Workshop on Multiple Classifier Systems), University of Iceland, Reykjavik, Iceland June 10-12, 2009

W. M. Hassan, A. F. Atiya, N. El Gayar and R. Elfouly, " Novel Ensemble Techniques for Regression with Missing Data", New Mathematics and Natural Computation, to appear.

N. Ahmed, , A. Atiya, N. El Gayar, and H. El-Shishiny, "An Empirical Comparison of Machine Learning Models for Time Series Forecasting", accepted for publication, in Econometric Reviews. Special Issue on ”The Link Between Statistical Learning Theory and Econometrics: Applications in Economics, Finance, and Marketing”, to appear, 2009

H. Aboulmagd, N. El Gayar, H. Onsi, "A New Approach in Content-Based Image Retrieval Using Fuzzy Logic". - Journal of Telecommunication Systems, Special Issue on Intelligent Multimedia computing, Springer 2008.

N. El Gayar., A. Zakhary, H. Abdel Aziz, M. Saleh, A. Atiya and H. El-Shishiny, " A New approach for Room Revenue Maximization using Advanced Forecasting and Optimization Methods", Proceedings of the EuroCHRIE Conference: Dubai, United Arab Emirates October 11th-14th, 2008

H. Abdel Aziz, M. Saleh, N. El Gayar and H. El -Shishiny, "A Randomized Model for Group Reservations in a Hotel’s Revenue Management System" . Proceedings of INFOS'2008, March 27-29, p. 24-30, 2008

N. El Gayar, A.M. Hendawi, A. Zakhary and H. El-Shishiny. "A Proposed Decision Support Model for Hotel Room Revenue Management", ICGST International Journal on Artificial Intelligence and Machine Learning, ICGST-AIML. Special Issue on Computational Methods for the Tourism Industry,Vol.8, pp 23-28,2008.

A. Zakhary, N. El Gayar and A. Atyia. "A Comparative Study of The Pickup Method and its Variations Using A Simulated Reservation Hotel Data". ICGST International Journal on Artificial Intelligence and Machine Learning, ICGST-AIML, Special Issue on Computational Methods for the Tourism Industry. Vol 8., pp 15-21, 2008.

N. Kamel, A. F. Atiya, N. El Gayar and Hisham El-Shishiny, "Tourism Demand Forecasting using Machine Learning Methods", ICGST International Journal on Artificial Intelligence and Machine Learning, ICGST-AIML, Special Issue on Computational Methods for the Tourism Industry. Vol 8., pp 1-7, 2008.

A. Zakhary, A. Atyia , N. El Gayar, N. and H. El-Shishiny. "Forecasting Hotel Demand Using Simulation". Technical Report. Data Mining for Improving Tourism Revenue in Egypt research project within the Egyptian Data Mining and Computer Modeling Center of Excellence, 2007.

N. Ahmed, , A. Atiya, N. El Gayar, and H. El-Shishiny, "A Combined Neural Network / Gaussian Process Regression Time Series Forecasting System for theNN3 Competition", winning paper in the Artificial Neural Network & Computational Intelligence Forecasting Competition 2007, (rank 5/6 ). http://www.neural-forecasting-competition.com/NN3/results.htm

M. Hassan, A. F. Atiya, N. El Gayar and R. Elfouly, "Regression in the Presence Missing Data Using Ensemble Methods", International Joint Conference on Neural Networks, Orlando, Florida, August 12-17, 2007.

T. Ahmed, N. El Gayar and A. F. Atiya, "A Co-training Approach for Time Series prediction with Missing Data", MCS 2007 (7th International Workshop on Multiple Classifier Systems), Czech Academy of Sciences, Prague, Czech Republic, May 23-25 2007.

N. El Gayar, S.A. Shaban and S. Hamdy, "Face Recognition with co-training and ensemble driven learning"; WSEAS Transactions on Computers, vol. 6, no. 3, March 2007.

Shereen Mohamed, N. El Gayar and H. Abd Elazim "A Fuzzy Engine Model for Financial Market Prediction", WSEAS Transactions on Information Science and Applications, vol. 4, no. 2, February 2007.

M. Soliman and N. El Gayar, "A Co-training Approach for Semi-Supervised Multiple Classifiers", ICGST International Journal on Artificial Intelligence and Machine Learning, ICGST-AIML, Volume (6), Special Issue on Multiple Classifier Systems, pp 9-16, May 2006.

A. Sami, N. El Gayar, S. El Ola Hanafy, " Multiple HMM Classifiers for Intrusion Detection in Wireless Ad Hoc Networks, Egyptian Informatics Journal, June 2006.

Z. Suraj, N. El Gayar and P. Delimata, A Rough set Approach to Multiple Classifier Systems, Fundamenta Informaticae, vol 72, IOS press, Amsterdam, pp 393-406, 2006.

N. El Gayar, S.A. Shaban and S. Hamdy, "Face Recognition with semi-supervised learning and Multiple Classifier Systems; Proceedings of the 5th WSEAS International Conference on COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS and CYBERNETICS (CIMMACS '06), Venice, Italy, November 20-22, 2006.

S. Mohamed, N. El Gayar and H.Abd Elazim, "A Fuzzy Engine Model for Efficient Stock Market Prediction, Proceedings of the 5th WSEAS International Conference on COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS and CYBERNETICS (CIMMACS '06), Venice, Italy, November 20-22, 2006.

N. El Gayar, F. Schwenker and G. Palm, "A Study of the Robustness of KNN Classifiers Trained Using Soft labels", Lecture Notes in Artificial Intelligence 4087, Artificial Neural Networks in Pattern Recognition , Proceedings of the second IAPR Workshop, ANNPR 2006, Germany , August 31-September 2, 2006, Springer Verlag, Berlin-Heidelberg, pp 67-80, 2006.

A. Sami, N. El Gayar and S. O. Hanafy, "Multiple HMM Classifiers for Intrusion Detection in Wireless Ad Hoc Networks, ", Proceedings of 4th International Conference on Informatics and Systems (INFOS 2006), Cairo University, Faculty of Computers and Information, Cairo, Egypt, March 25-27, 2006.

M. Soliman and N. El Gayar, "A Co-training Approach for Semi-Supervised Multiple Classifiers", Proceedings of 4th International Conference on Informatics and Systems (INFOS 2006), Cairo University, Faculty of Computers and Information, Cairo, Egypt, March 25-27, 2006.

Z. Suraj, N. El Gayar and P. Delimata, “A Rough Set Approach to Multiple Classifier Systems”, Proceedings of Workshop of Concurrency, Specification and Programming(CS&P'2005), Warsaw University, Ruciana-Nida, Poland, vol.2, pp 509-518, 2005.

N. El Gayar, "An Experimental Study of a Self-Supervised Classifier Ensemble", Proceedings of the International Conference on Computational Intelligence 2004 (ICCI 2004), December 17-19, 2004, Istanbul, Turkey, Proceedings. International Computational Intelligence Society , ISBN 975-98458-1-4, pp 197-201, 2004.

N. El Gayar, “A Multi-classifier Approach to Self-supervised Learning”, Proc. 1st International Computer Engineering Conference, (ICENCO 2004), Faculty of Engineering, Cairo University, Cairo, Egypt, December 27-30, 2004 .

N. El Gayar. “An Experimental Study of a Self-Supervised Classifier Ensemble”, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY(IJIT), VOLUME 1 NUMBER 1 , ISSN:1305-2403, 2004

N. El Gayar, “Fuzzy-teacher-based Learning for an Ensemble of Neural Networks”. Poster presentation in the International School on Neural Networks, 7th course on : Ensemble Methods for Learning Machines, Vietri sul Mare, Salerno, Italy, September 22-28, 2002.

N. El Gayar, “Fuzzy Neural Network Models for Unsupervised and Confidence-Based Learning”, Ph.d. thesis, Dept. of Comp. Sc., University of Alexandria, 1999.

N. El Gayar, F. Schwenker, M.A. Ismail and G. Palm “Fuzzy Neural Network Models for High-Dimensional Data Clustering”. In the Proceeding of the 2nd International ICSC Symposium on Fuzzy Logic and Applications (ISFL’97), pages 203-206, Zurich, Switzerland, February 12-14, 1997.

N. El Gayar, F. Schwenker, M.A. Ismail and G. Palm “A Comparative Study of Different Fuzzy and Conventional Neural Network Models for Data Clustering”. In the Proceedings of the European Workshop on Fuzzy Decision Analysis for Management, Planning and Optimization (EFDAN’96), pages 19-22, Dortmund, Germany, May 21-22, 1996.

N. El Gayar, K.M. Ahmed and M.A. Ismail and A. Shoukry. “A Neural Network Training Algorithm for Data Clustering”, Proc. Of the 6th International Conference on Microelectronics (ICM’94), Istanbul, Turkey, Sept. 5-7, pp. 136-139, 1994.

N. El Gayar, “New Algorithms for Unsupervised Learning in Artificial Neural Networks”, M.Sc. thesis, Comp. Sc. Dept., University of Alexandria, 1993.



 
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