Journal Articles

• Huang, J., Yu, H., Zhang, J. and Nait-Charif, H., 2024. Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields. IET Image Processing, 18 (12), 3507-3517.
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• Marimón, E., Marsden, P.A., Nait-Charif, H. and Diáz, O., 2021. A semi-empirical model for scatter field reduction in digital mammography. Physics in Medicine and Biology, 66 (4).
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• Arifoglu, D., Charif, H.N. and Bouchachia, A., 2020. Detecting indicators of cognitive impairment via Graph Convolutional Networks. Engineering Applications of Artificial Intelligence, 89.
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• Guelzim, I., Amkoui, A. and Nait-Charif, H., 2020. Part-Based Lumbar Vertebrae Tracking in Videofluoroscopy Using Particle Filter. Int. J. Comput. Vis. Image Process., 10, 29-44.
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• Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J. and Nait-Charif, H., 2013. A unified framework for 3D hand tracking. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8033 LNCS (PART 1), 129-139.
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• Nait-Charif, H., 2010. Complex-valued neural networks fault tolerance in pattern classification applications. Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010, 3, 154-157.
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• Taleb, T., Bottazzi, D., Guizani, M. and Nait-Charif, H., 2009. ANGELAH: A Framework for Assisting Elders At Home. IEEE Journal on Selected Areas in Communications, 27, 480-494.
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• Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2009. Real time automatic skeleton and motion estimation for character animation. Computer Animation and Virtual Worlds, 20, 523-531.
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• McKenna, S.J. and Nait-Charif, H., 2007. Tracking human motion using auxiliary particle filters and iterated likelihood weighting. Image and Vision Computing, 25, 852-862.
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• McKenna, S.J. and Nait-Charif, H., 2006. Tracking the activity of participants in a meeting. Machine Vision and Applications, 17, 83-93.
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• McKenna, S.J. and Nait-Charif, H., 2004. Summarising contextual activity and detecting unusual inactivity in a supportive home environment. Pattern Analysis and Applications, 7, 386-401.
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• Bhuiyan, I.H., Hasan, M.K., Nait-Charif, H. and Yahagi, T., 2001. Image compression with neural networks using dynamic construction algorithm. Journal of Signal Processing, 5, 445-454.
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• Daoudi, E., Jaara, E.M. and Nait-Charif, H., 2001. Parallelisation de la compression d'image (parallelization of neural network-based image compression). Reseaux et Systeme Repartis, 361-369.
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• Zouggar, S., Nait-Charif, H. and Azizi, M., 2000. Neural control and transient analysis of the LCL-type resonant converter. The European Physical Journal - Applied Physics, 11, 21-27.
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• Nait-Charif, H. and Ito, H., 1998. Improving the performance of feedforward neural networks by noise injection into hidden neurons. Journal of Intelligent and Robotic Systems, 21, 103-115.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1998. Dynamic constructive fault tolerant algorithm for feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 115-123.
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• Nait-Charif, H. and Ito, H., 1998. On the activation function and fault tolerance in feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 66-72.
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• Nait-Charif, H. and Ito, H., 1997. A learning algorithm for fault tolerant feedforward neural networks. IEICE Transactions on Information and Systems, E80-D, 21-27.
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Chapters

• Poudel, R.P.K., Nait-Charif, H., Zhang, J.J. and Liu, D., 2012. Region-based skin color detection. 301-306.
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• Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. Motion in Games - First International Workshop, MIG 2008, Revised Papers. Springer, 144-153.
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• Nait-Charif, H. and McKenna, S.J., 2004. Activity summarisation and fall detection in a supportive home environment. In: Kittler, J., Petrou, M. and Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 323-326.
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• McKenna, S.J. and Nait-Charif, H., 2004. Learning spatial context from tracking using penalized likelihood estimation. In: Kittler, J., Petrou, M. and Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 138-141.
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• Nait-Charif, H. and McKenna, S.J., 2004. Tracking poorly modeled motion using particle filters with iterated likelihood weighting. In: Hong, K.-S. and Zhang, Z., eds. ACCV 2004 : proceedings of the sixth Asian conference on computer vision. Seoul(?): Asian Federation of Computer Vision Societies, 156-161.
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• Nait-Charif, H. and Salam, F., 2000. Neural networks-based image compression system. Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems. Lansing, MI, USA: IEEE, 446-449.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Fault tolerant constructive algorithm for feedforward neural networks. Proceedings of the 1997 Pacific Rim International Symposium on Fault-Tolerant Systems. Washington, DC, USA: IEEE Computer Society, 215-220.
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• Nait-Charif, H., Nasir, A. and Ito, H., 1997. Improving fault tolerance and generalization ability by noise injection into hidden neurons. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 238.
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• Nasir, A., Nait-Charif, H. and Ito, H., 1997. Output smoothing: a learning algorithm for fault tolerant neural networks. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 239.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Dynamic construction of fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 31-38.
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• Nait-Charif, H. and Ito, H., 1996. A new energy function for fault tolerant neural networks. Proceedings of IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 203.
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• Nait-Charif, H. and Ito, H., 1996. A learning algorithm for fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 23-30.
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• Nait-Charif, H., Ohmameuda, T. and Ito, H., 1995. Training method for fault tolerant feedforward neural networks. Proceedings of IEICE Fall Conference. IEICE (Institute of Electronics, Information and Communication Engineers).
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Conferences

• Cheddi, F., Habbani, A. and Nait-Charif, H., 2024. A Multi-Modal Feature Fusion-Based Approach for Chest X-Ray Report Generation. Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024.
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• Demolder, A., Newman, A., Durrant, T., Nait-Charif, H., Adzhiev, V. and Kaczorowski, A., 2021. Enabling Reflective & Refractive Depth Representation in Computer-Generated Holography. Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters, SIGGRAPH 2021.
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• Adhikari, K., Bouchachia, H. and Nait-Charif, H., 2020. Long short-term memory networks based fall detection using unified pose estimation. Proceedings of SPIE - The International Society for Optical Engineering, 11433.
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• Glynos, C.M., Glynos, M.C., Aina, O.O. and Nait-Charif, H., 2019. Assessing the efficacy of the dynamic eye misalignment retroversion system (DEMRS) prototype with normal and strabismus subjects. ACM International Conference Proceeding Series, 39-46.
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• Ioannidis, I. and Nait-Charif, H., 2019. Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11679 LNCS, 49-61.
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• Aguilera-Canon, M.C., Wainwright, T., Yang, X. and Nait-Charif, H., 2019. Mixed Reality-Based Simulator for Training on Imageless Navigation Skills in Total Hip Replacement Procedures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11462 LNCS, 30-34.
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• Glynos, C.M., Aina, O.O. and Nait-Charif, H., 2017. Dynamic eye misalignment retroversion system (DEMRS). Proceedings - Applied Imagery Pattern Recognition Workshop.
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• Adhikari, K., Bouchachia, H. and Nait-Charif, H., 2017. Activity recognition for indoor fall detection using convolutional neural network. Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017, 81-84.
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• Marimón, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Diaz, O., 2017. Scatter reduction for grid-less mammography using the convolution-based image post-processing technique. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 10132.
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• Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Diaz, O., 2016. Detailed analysis of scatter contribution from different simulated geometries of X-ray detectors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9699, 203-210.
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• Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J. and Nait-Charif, H., 2013. A Unified Framework for 3D Hand Tracking. ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I, 8033, 129-139.
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• Nait-Charif, H., Breen, A. and Thompson, P., 2012. Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Initialisation. In: Bebis, G. et al., eds. International Symposium on Visual Computing (ISVC) 16-18 July 2012 Crete, Greece. ISVC (2), 7432, 61-69 Springer.
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• Somasekharan, A., Nait-Charif, H. and Zhang, J., 2012. Generating Real‐time Muscle Activations for Skeletal Hand Motion: An Evolutionary Approach. In: Computer Graphics International CGI 2012 12-15 June 2012 Poole.
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• Taleb, T., Bottazzi, D. and Nait-Charif, H., 2009. An Advanced Home ElderCare Service. In: HEALTHINF 2009: International Conference on Health Informatics 14-17 January 2009 Porto, Portugal. , 30-37 NSTICC Press 2009.
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• Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. MIG, 5277, 144-153 Springer.
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• McKenna, S.J., Nait-Charif, H. and Frank, T., 2005. Towards video understanding for laparoscopic surgery: instrument tracking. In: Image and Vision Computing New Zealand Conference 28-29 November 2005 Dunedin, New Zealand.
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• Aboutni, R., El Hitmy, M., Jaara, E.M. and Nait-Charif, H., 2005. Impact of texture images compression using discrete cosine transform on the texture parameters. In: International Conference on Pattern Recognition and Information Processing May 2005 Minsk, Belarus.
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• McKenna, S.J., Nait-Charif, H., Marquies-Faulkes, F. and Newel, A., 2003. Activity monitoring for independent living using ceiling-mounted visual sensors. In: International Conference on Aging, Disability and Independence December 2003 Virginia, USA.
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• Nait-Charif, H. and McKenna, S.J., 2003. Head tracking and action recognition in a smart meeting room. In: IEEE Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ICVS) 24-31 March 2003 Graz, Austria.
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• Nasri, M., Aboutni, R., El Hitmy, M., Nait-Charif, H. and Jender, H., 2003. Cascade system genetic algorithm - multilayer neural network for a supervised classification of texture images. In: Third Workshop on Physics in Signal and Image Processing 29-31 January 2003 Grenoble, France.
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• Bhuiyan, I.H., Hasan, M.K., Haque, M.A. and Nait-Charif, H., 2001. A robust method for image compression using dynamically constructive neural network. In: Boashash, B., Salleh, S.H.S. and Abed Meraim, K., eds. Signal Processing and its Applications: Sixth International Symposium 13-16 August 2001 Kuala Lumpur, Malaysia. , 525-528 Malaysia: Universiti Teknologi Malaysia.
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• Daoudi, E., Jaara, E.M. and Nait-Charif, H., 2000. Parallel methods for image compression using multilayer neural networks. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22-24 March 2000 Monastir, Tunisia. , 15-20.
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• Zouggar, S., Nait-Charif, H. and Azizi, M., 2000. Dynamic analysis and control design of the LCL type resonant convertor. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22-24 March 2000 Monastir, Tunisia.
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• Ouriachi, H., Hamad, D., Nait-Charif, H. and Barboucha, M., 1999. Unsupervised classification using evolutionary programming approach and Akaike criteria. In: 14th International Symposium on Computers and Information Sciences (ISCIS99) 18-20 October 1999 Izmir, Turkey.
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• Nait-Charif, H. and Ito, H., 1997. Noise injection into hidden neurons: a learning technique for enhancing the performance of feedforward neural networks. In: International Conference on Neural Networks and their Applications (NEURAP97) March 1997 Marseilles, France. , 245-251.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Fault tolerant learning technique for neural networks. In: The Institute of Electronics, Information and Communication Engineers (IEICE) Fall Conference September 1997.
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• Nait-Charif, H. and Ito, H., 1996. A fault tolerant learning algorithm for feedforward neural networks. In: International Workshop on Fault Tolerant Parallel Processing April 1996 Hawaii.
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Posters

• Wu, M., Xiao, Z. and Nait-Charif, H., 2021. Graph Representation Learning on Trajectory Encoded Volumetric Heatmaps for Human Motion Generation. In: 16th Women in Machine Learning Workshop (WiML 2021).
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Grants

• Handheld based point of sale system (InnovateUK, 01 Apr 2011). Awarded