Functional networks training algorithm for statistical pattern recognition. - Emad A. El-Sebakhy (ISCC, 2004)

Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier. - Emad A. El-Sebakhy; Kanaan A. Faisal; Tarek Helmy; Farag Azzedin; A. Al-Suhaim (AICCSA, 2006)

A Priority-Based MLFQ Scheduler for CPU Power Saving. - Muhammad Kashif; Tarek Helmy; Emad A. El-Sebakhy (AICCSA, 2006)

Neuro-Fuzzy Systems Modeling Tools for Bacterial Growth. - Emad A. El-Sebakhy; Iputu Raharja; S. Adem; Yaman Khaeruzzaman (AICCSA, 2007)

Dynamic Programming Algorithm for Training Functional Networks. - Emad A. El-Sebakhy; Salahadin Mohammed; Moustafa Elshafei (IC-AI, 2007)

Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. - Emad A. El-Sebakhy; Abdulazeez Abdulraheem; Motaz Ahmed (IICAI, 2007)

Bacterial Growth Classification with Support Vector Machines: A Comparative Study. - Emad A. El-Sebakhy; Kanaan A. Faisal (MLMTA, 2007)

Iterative Least Squares Functional Networks Classifier. - Emad A. El-Sebakhy; Ali S. Hadi; Kanaan A. Faisal (IEEE Trans. Neural Networks, 2007)

New Computational Intelligence Paradigm for Estimating the Software Project Effort. - Emad A. El-Sebakhy (AINA Workshops, 2008)

New Data Mining and Intelligence System Scheme in Protein Structure Prediction based on Extreme Learning Machine. - Emad A. El-Sebakhy; Ognian Asparouhov; Tarek R. Sheltami; Krassimir Latinski; Salahadin Mohammed (BIOCOMP, 2009)

Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification Problems. - Emad A. El-Sebakhy; Tarek R. Sheltami; Asparouhov Asparouhov; Krassimir Latinski; Zeehasham Rasheed (DMIN, 2009)

Software reliability identification using functional networks: A comparative study. - Emad A. El-Sebakhy (Expert Syst. Appl., 2009)

Data mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systems. - Emad A. El-Sebakhy (Comput. Geosci., 2009)

Flow regimes identification and liquid-holdup prediction in horizontal multiphase flow based on neuro-fuzzy inference systems. - Emad A. El-Sebakhy (Math. Comput. Simul., 2010)

Functional networks as a novel data mining paradigm in forecasting software development efforts. - Emad A. El-Sebakhy (Expert Syst. Appl., 2011)

Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. - Emad A. El-Sebakhy; Ognian Asparouhov; Abdulazeez Abdulraheem; Abdulaziz Al-Majed; Donghui Wu; Kris Latinski; Iputu Raharja (Expert Syst. Appl., 2012)