BASSAM ALMOGAHED
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Journal Publication


  1. Bassam Almogahed, Ioannis A. Kakadiaris: Novel Framework for Supervised Learning in Imbalanced Data: A Semi-Supervised Learning Approach. Machine Learning. 2015 (Submitted).
  2. Bassam Almogahed, Ioannis A. Kakadiaris: NEATER: Filtering of Over-Sampled Data Using Non-Cooperative Game Theory. Soft Computing. 2014.
  3. Ioannis A. Kakadiaris, Bassam Almogahed, Harvey Hecht, Christopher Sibley, MortezaNaghavi, Matthew Budoff: CardioRS: Toward a New Methodology for Predicting Cardiovascular Events, Journal of the American College of Cardiology. 2013;61(10_S):. doi:10.1016/S0735-1097(13)60163-1.
  4. Ioannis A. Kakadiaris, Bassam A. Almogahed, Harvey S. Hecht, Christopher T. Sibley, Susan R. Heckbert, MortezaNaghavi, Matthew Budoff. CardioRS (CRS): Toward a New Methodology for Predicting Cardiovascular Events. Journal of the American College of Cardiology. 2014 (Pending). Impact Factor: 14.086.

Conference Publications


  1. Bassam Almogahed, Ioannis A. Kakadiaris: NEATER: Filtering of Over-Sampled Data Using Non-Cooperative Game Theory. International Conference of Pattern Recognition, Stockholm, Sweden, Aug. 24-28, 2014: 1371-1376.
  2. Bassam Almogahed, Ioannis A. Kakadiaris: Empowering Imbalanced Data in Supervised Learning: A Semi-Supervised Learning Approach. International Conference on Artificial Neural Networks, Hamburg, Germany, Sept. 15-19, 2014: 523-530.
  3. H. Chris Tseng, Bassam Almogahed: Modular Neural Networks with Application to Pattern Profiling Problems. Neurocomputing. 72(10-12): 2093-2100, 2009.