Publications



Refereed Journal and Transaction Papers


  1. H. Z. Xiao, H. Nait-Charif and J. J. Zhang “Real time automatic skeleton and motion estimation for character animation”, Computer Animation and Virtual Worlds journal, vol. 20, no. 5-6, pp. 523-531, Feb. 2009.

  2. H. Taleb, T., Bottazzi, D., Guizani, M., Nait-Charif, H“ANGELAH: A Framework for Assisting Elders At Home”, IEEE Journal on Selected Areas in Communications, vol. 27(4), pp. 480-494, 2009.

  3. H. Xiao, Z., Nait-Charif, H., Zhang, J.J“Automatic Estimation of Skeletal Motion from Optical Motion Capture Data, Vol. 5277/2008, pp. 144-153, 2008.

  4. H. Nait-Charif and S. McKenna, “Tracking the activity of participants in a meeting”, Machine Vision and Applications, pp.1-11,Mar 2006.

  5. S. McKenna and H. Nait-Charif, “Tracking of Human Motion using Auxiliary Particle Filters and Iterated Likelihood Weighting”, Image and Vision Computing Journal, Volume 25 Issue 6, June, 2007 Pages 852-862

  6. S. McKenna and H. Nait-Charif, “Summarizing Contextual Activity and Detecting Unusual Inactivity in Supportive Home Environment”, Pattern Analysis and Applications Journal. Published online: 20 May 2005.

  7. Md. I. H. Bhuiyan, Md. K. Hassan, H, Nait-Charif, T. Yahagi “Image Compression with Neural Networks Using Dynamic Construction Algorithm", J. of Signal Processing, vol. 5, no 6, pp 445-454, November 2001.

  8. E. Daoudi, E. Jaara and H. Nait-Charif, "Parallélisation de la compression d’Image", (Parallelization of Neural Network-based Image Compression), Reseaux et Systeme Repartis Journal, pp. 361-369, January 2001, Hermes Science Edition (in French).

  9. S. Zouggar, H. Nait-Charif, M. Azizi, "Neural Control and Transient Analysis of the LCL-Type Resonant Converter",European Physical Journal Applied Physics EPJ, vol. 11, n°. 1, July 2000, pp: 21-27.

  10. H. Nait Charif, T. Ohmameuda, K. Kaneko, and H. Ito, "Dynamic Constructive Fault Tolerant Algorithm for Feedforward Neural Networks", IEICE Trans. Information and Systems, vol. E81-D, no. 1, pp. 115-123, January 1998.

  11. H. Nait Charif and H. Ito, "On the Activation Function and Fault Tolerance in Feedforward Neural Networks", IEICE Trans. Information and Systems, vol. E81-D, no. 1, pp. 66-72, January 1998.

  12. H. Nait-Charif and H. Ito, “Improving the Performance of Feedforward Neural Networks by Noise Injection into Hidden Neurons", Int. Journal of Intelligent and Robotic Systems (Kluwer), vol. 21, no. 2, pp. 103,115, February 1998.

  13. H. Nait-Charif and H. Ito, ''A Learning Algorithm for Fault Tolerant Feedforward Neural Networks'', IEICE Trans. Information and Systems, vol. E80-D, no. 1, pp. 21-27, January 1997.



    Conference Papers

  1. Nait-Charif H, Breen A, Thompson P “Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Initialisation”, International Symposium on Visual Computing (ISVC) Crete, Greece, 16 Jul 2012.

  2. Somasekharan A, Nait-Charif H, Zhang J “Towards Generating Real‐time Muscle Activations for Skeletal Hand Motion: An Evolutionary Approach”, Computer Graphics International CGI2012,Bournemouth, UK, June 2012.

  3. Poudel RPK, Nait-Charif H, Zhang JJ, Liu D “Region-based skin color detection”, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.,Rome, Italy, February 2012.

  4. H. Nait-Charif “Complex-Valued Neural Networks Fault tolerance in Pattern Classification Applications”,Global Congress on Intelligent Systems, Wuhan, China, December 2010.

  5. Taleb T, Bottazzi D, Nait-Charif H “An Advanced Home ElderCare Service”,HEALTHINF 2009: International Conference on Health Informatics, Porto, Portugal, 14 Jan 2009.

  6. S. McKenna, H. Nait-Charif and T. Frank, “Towards Video Understanding for Laparoscopic Surgery: Instrument Tracking”, Image and Vision Computing New Zealand Conference, Dunedin, New Zealand, November 2005.

  7. R. Aboutni, M. ElHitmy, E. M. Jaara, H. Nait-Charif, “Impact Of Texture Images Compression Using Discrete Cosine Transform On The Texture Parameters”, International Conference on Pattern Recognition & Information Processing, Minsk, Belarus, May 2005.

  8. H. Nait-Charif and S. J. McKenna, “Activity Summarisation and Fall Detection in a Supportive Home Environment”, International Conference on Pattern Recognition (ICPR), Cambridge, vol. 4, pp. 323-326, August 2004.

  9. S. J. McKenna and H. Nait-Charif, “Learning Spatial Context from Tracking using Penalized Likelihood Estimation”, International Conference on Pattern Recognition (ICPR), Cambridge, vol. 4, pp. 138-141, August 2004.

  10. H. Nait-Charif and S. J. McKenna, “Tracking Poorly Modeled Motion Using Particle Filters with Iterated Likelihood Weighting”, Asian Conference on Computer Vision Systems (ACCV04), Jeju, Korea, pp. 156-161, January, 2004.

  11. S. McKenna, H. Nait-Charif, F. Marquies-Faulkes and A. Newel, “Activity Monitoring for Independent Living using Ceiling-Mounted Visual Sensors”, International Conference on Aging, Disability and Independence, December 2003, Virginia, USA.

  12. H. Nait-Charif and S. McKenna, “Head Tracking and Action Recognition in a Smart Meeting Room”, IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ICVS), Graz, Austria, pp. 24-31, March, 2003.*

  13. M. Nasri, R. Aboutni, M. El Hitmy, H. Nait-Charif, H. Jender, “Cascade system, genetic algorithm-Multilayer neural network for a supervised classification of texture images”, Third workshop on Physics in Signal and Image Processing, Grenoble, France 29-31 january, 2003.

  14. M. I. H. Bhuiyan, M. K. Hasan, M. A. Haque, and H. Nait-Charif, “A robust method for image compression using dynamically constructive neural network”, Sixth International Symposium on Signal Processing and its applications (IEEE ISSPA), pp.525-528, August 14-16, 2001, Kuala Lampur, Malaysia.

  15. H. Nait-Charif and F. Salam, "Neural Networks-based Image Compression System," The 43rd IEEE Midwest Symposium on Circuits and Systems, Lansing, MI, pp. 446-449, August 2000.

  16. E. Daoudi, E. Jaara and H. Nait Charif, “Parallel Methods for Image Compression Using Multilayer Neural Networks”, Int. Conf. on Artificial and Computational Intelligence for Decision, Control and Automation in Eng. and Industrial Applications ACIDCA'2000 Monastir, Tunisia, pp. 15-20, March 2000.

  17. S. Zouggar, H. Nait-Charif and M. Azizi, “Dynamic Analysis and Control Design of the LCL Type Resonant Converter’ Int. Conf. on Artificial and Computational Intelligence for Decision, Control and Automation in Eng. and Industrial Applications ACIDCA'2000 Monastir, Tunisia, 22-24 March 2000

  18. H. Ouriachi, D. Hamad, H. Nait-Charif and M. Barboucha, “Unsupervised Classification Using Evolutionary Programming Approach and Akaike Criteria”, 14th Int. Symposium on Computers and Information Sciences (ISCIS99), Izmir, Turkey.

  19. S. Zouggar, H. Nait-Charif and M. Azizi, “Neural Control and Transient Analysis of the LCL Type Resonant Converter”, Int. Conf. Engineering of Modern Electric Systems (EMES’99) Romania, 1999.

  20. S. Zouggar, H. Nait Charif, G. Rojat and M. Azizi, Dynamic Analysis and Control Design of the LCL Type Resonant Converter”, 8th European Conference on Power Electronics and Applications EPE'99 CD-ROM.

  21. H. Nait-Charif, T. Ohmameuda, K. Kaneko, and H. Ito: “Fault Tolerant Constructive Algorithm for Feedforward Neural Networks”, Proc. of the 1997 Pacific Rim International Symposium on Fault Tolerant Systems (PRFTS'97), pp. 215-220 1997.

  22. H. Nait-Charif and H. Ito, “Noise Injection into Hidden Neurons: A Learning Technique for Enhancing the -Performance of Feedforward Neural Networks”, Proc. of Int. Conf. on Neural Networks and Their Applications (NEURAP'97), pp. 245-251, Marseilles, March 1997.

  23. H. Nait-Charif and H. Ito, “On the Activation Function and Fault Tolerance in Feedforward Neural Networks”, Proc. of Int. Workshop on Dependability in Advanced Computing Paradigms, pp. 29-34, Hitachi, June 1996.

  24. H. Nait Charif and H. Ito, “A Fault Tolerant Learning Algorithm for Feedforward Neural Networks”, Proc. of Int. Workshop on Fault Tolerant Parallel Processing, Hawaii, April 1996.

  25. H. Nait-Charif, T. Ohmameuda, K. Kaneko, and H. Ito, “Fault Tolerant Learning Technique for Neural Networks”, Proc. of IEICE Fall, September 1997.

  26. H. Nait-Charif, A. Nasir and H. Ito, “Improving Fault Tolerance and Generalization Ability by Noise Injection into Hidden Neurons”, Proc. of IEICE Spring, part. 1, pp. 238 Japan, March 1997. (In Japanese).

  27. A. Nasir, H. Nait-Charif and H. Ito, “Output Smoothing: A Learning Algorithm for Fault Tolerant Neural Networks”, Proc. of IEICE Spring, part. 1, pp. 239, Japan, March 1997.

  28. H. Nait-Charif and H. Ito, “A New Energy Function for Fault Tolerant Neural Networks”, Proc. of IEICE Spring, part. 1,p. 203, Japan, March 1996.

  29. H. Nait Charif, T. Ohmameuda, and H. Ito, “Training Method for Fault Tolerant Feedforward Neural Networks”, Proc. of IEICE Fall, Part 1, Japan, September 1995



    Technical Reports

  1. H. Nait-Charif, T. Ohmameuda, K. Kaneko, and H. Ito, ``Dynamic Construction of Fault Tolerant Feedforward Neural Networks'', IEICE Technical Report, FTS97-34, pp. 31-38, August 1997.

  2. H. Nait-Charif and H. Ito, ``A Learning Algorithm for Fault Tolerant Feedforward Neural Networks'', IEICE Technical Report, FTS95-78, pp. 23-30, February 1996.