Genetic Programming Bibliography entries for Hossam Faris

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8010

GP coauthors/coeditors: Amaal R Al Shorman, Pedro A Castillo Valdivieso, Juan Julian Merelo, Nailah Al-Madi, Alaa Sheta, Ertan Oznergiz, Rania Hiary, Bashar Al-Shboul, Nazeeh A L Ghatasheh, Rana Faris, Bara'a Almasri, Faris M AL-Oqla, Doraid M Dalalah, Maria Habib, Mohammad Ahmad Hassonah, Ja'far Alqatawna, Ala M Al-Zoubi, Mouhammd Al-Kasassbeh,

Genetic Programming Articles by Hossam Faris

  1. Hossam Faris and Alaa F. Sheta and Ertan Oznergiz. MGP-CC: a hybrid multigene GP-Cuckoo search method for hot rolling manufacture process modelling. Systems Science \& Control Engineering, 4(1):39-49, 2016. details

  2. Alaa F. Sheta and Hossam Faris. Influence of Nitrogen-di-Oxide, Temperature and Relative Humidity on Surface Ozone Modeling Process Using Multigene Symbolic Regression Genetic Programming. International Journal of Advanced Computer Science and Applications (IJACSA), 6(6) 2015. details

  3. Alaa F. Sheta and Hossam Faris and Ertan Oznergiz. Improving Production Quality of a Hot Rolling Industrial Process via Genetic Programming Model. International Journal of Computer Applications in Technology, 49(3/4):239-250, 2014. Special Issue on: Computational Optimisation and Engineering Applications. details

  4. Hossam Faris and Alaa Sheta and Rania Hiary. On Symbolic Regression for Optimizing Thermostable Lipase Production. International Journal of Advanced Science and Technology, 63(11):23-33, 2014. Special Issue on: Computational Optimisation and Engineering Applications. details

  5. Alaa Sheta and Hossam Faris and Mouhammd Alkasassbeh. A Genetic Programming Model for S\&P 500 Stock Market Prediction. International Journal of Control and Automation, 6(5):303-314, 2013. details

  6. Alaa Sheta and Rania Hiary and Hossam Faris and Nazeeh Ghatasheh. Optimizing Thermostable Enzymes Production Using Multigene Symbolic Regression Genetic Programming. World Applied Sciences Journal, 22(4):485-493, 2013. details

  7. Hossam Faris and Alaa Sheta. Identification of the Tennessee Eastman Chemical Process Reactor Using Genetic Programming. International Journal of Advanced Science and Technology, 50:121-140, 2013. details

  8. Hossam Faris and Alaa Sheta and Ertan Oznergiz. Modeling Hot Rolling Manufacturing Process Using Soft Computing Techniques. International Journal of Computer Integrated Manufacturing, 26(8):762-771, 2013. details

Genetic Programming conference papers by Hossam Faris

  1. Rana Faris and Bara'a Almasri and Hossam Faris and Faris M. AL-Oqla and Doraid Dalalah. Evolving Genetic Programming Models for Predicting Quantities of Adhesive Wear in Low and Medium Carbon Steel. In Evolutionary Machine Learning Techniques, 2020. Springer. details

  2. Maria Habib and Hossam Faris and Mohammad A. Hassonah and Ja'far Alqatawna and Alaa F. Sheta and Ala' M. Al-Zoubi. Automatic Email Spam Detection using Genetic Programming with SMOTE. In Amala Rajan editor, Fifth HCT Information Technology Trends, ITT 2018, pages 185-190, Dubai, UAE, 2018. details

  3. Amaal R. Al Shorman and Hossam Faris and Pedro A. Castillo and Juan Julian Merelo Guervos and Nailah Al-Madi. The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers. In Christophe Sabourin and Juan Julian Merelo Guervos and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 10th International Joint Conference on Computational Intelligence, IJCCI 2018, Seville, Spain, September 18-20, 2018, pages 79-85, 2018. SciTePress. details

  4. Hossam Faris and Bashar Al-Shboul and Nazeeh Ghatasheh. A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry. In Dosam Hwang and Jason J. Jung and Ngoc Thanh Nguyen editors, Computational Collective Intelligence. Technologies and Applications - 6th International Conference, ICCCI 2014, Seoul, Korea, September 24-26, 2014. Proceedings, volume 8733, pages 353-362, 2014. Springer. details