Dr Mohamed Bennasar

Articles

• Islam, R. et al. 2020. Non-proprietary movement analysis software using wearable inertial measurement units on both healthy participants and those with anterior cruciate ligament reconstruction across a range of complex tasks: validation study. JMIR mHealth and uHealth 8(6), article number: e17872. (10.2196/17872)
• Bennasar, M., Hicks, Y. A., Clinch, S., Jones, P., Rosser, A. E., Busse, M. and Holt, C. A. 2016. Huntington's Disease assessment using tri axis accelerometers. Procedia Computer Science 96, pp. 1193-1201. (10.1016/j.procs.2016.08.163)
• Bennasar, M., Hicks, Y. and Setchi, R. 2015. Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications 42(22), pp. 8520-8532. (10.1016/j.eswa.2015.07.007)
• Bennasar, M., Setchi, R. and Hicks, Y. A. 2013. Feature interaction maximisation. Pattern Recognition Letters 34(14), pp. 1630-1635. (10.1016/j.patrec.2013.04.002)

Conferences

• Bennasar, M., Setchi, R., Hicks, Y. and Bayer, A. J. 2014. Cascade classification for diagnosing dementia. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, CA, USA, 5-8 October 20142014 IEEE International Conference on Systems, Man and Cybernetics (SMC). pp. 2535-2540., (10.1109/SMC.2014.6974308)
• Bennasar, M., Setchi, R., Bayer, A. J. and Hicks, Y. A. 2013. Feature selection based on information theory in the clock drawing test. Presented at: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Kitakyushu, Japan, 9 -12 September 2013Procedia Computer Science, Vol. 22. pp. 902-911., (10.1016/j.procs.2013.09.173)

Thesis

• Bennasar, M. 2014. Clinical decision support system for early detection and diagnosis of dementia. PhD Thesis, Cardiff University.