1. On the capability of support vector machines to classify lithology. Accepted, November, 2009;Al-Anazi;Natural Resources Research,2009
2. Support vector regression for permeability prediction in a heterogeneous reservoir: a comparative study. Accepted, October, 2009;Al-Anazi,2009
3. Support vector regression for porosity prediction in a heterogeneous reservoir: a comparative study;Al-Anazi;Submitted to Computers and Geosciences,2009
4. Fuzzy logic data-driven permeability prediction for heterogeneous reservoirs;Al-Anazi,2009
5. Improving support vector machine classifiers by modifying kernel functions;Amari;Proceedings of International Conference on Neural Networks,1999