"Abductive Reasoning Optimization Using Recurrent Neural Networks: Theory, solution architecture and implementation techniques". Emad Andrews. VDM Verlag Dr. Mller Aktiengesellschaft & Co. KG, Saarbrcken Germany.ISBN 978-3-639-22868-7
"Finding MAPs using strongly equivalent high order recurrent symmetric connectionist networks". Emad A. M. Andrews and Anthony J. Bonner. Cognitive Systems Research (2011), doi:10.1016/j.cogsys.2010.12.013.
"Neural Networks Approaches for Discovering the Learnable Correlation between Gene Function and Gene Expression in Mouse" Emad Andrews, Quaid Morris, and Anthony j. Bonner, Neurocomputing, Volume 71 , No. 16-18, pp.3168-3175
“Recurrent Neural Networks with Backtrack-Points and Negative Reinforcement Applied to Cost-Based Abduction”. M. Abdelbar, Mostafa A. El-Hemely , Emad A. M. Andrews, and Donald C. Wunsch II. Neural Networks, Vol. 18, No. 5-6, July 2005. pp. 755-764
“A Connectionist Approach to Cost-Based Abduction” Ashraf M. Abdelbar, Emad A. M. Andrews, and Donald C. Wunsch II. International Journal of Computational Cognition. Vol. 3 Number 2, June 2005. pp. 46-51
“Abductive Reasoning with Recurrent Neural Networks” Ashraf M. Abdelbar, Emad A. M. Andrews, and Donald C. Wunsch II. Neural Networks, Vol. 16 Number 5-6, June-July 2003, pp. 665-673.
"Explaining Genetic Knock-out Effects Using Cost-Based Abduction". Emad Andrews And Anthony J. Bonner. In Proceedings of the Twenty-Second Inter- national Joint Conference on Artificial Intelligence (IJCAI) (2011).
"Finding MAPs Using High Order Recurrent Networks" Emad Andrews, and Anthony J. Bonner, C.S. Leung, M. Lee, and J.H. Chan (Eds.): The 16th International Conference on Neural Information Processing 2009, Part I. In Lecture Notes in Computer Science 5863, pp. 100-109,Springer-Verlag Berlin Heidelberg.
Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression" Emad Andrews Shenouda, Quad Morris , and Anthony J. Bonner. In Proceedings of The 13th International Conference on Neural Information Processing (ICONIP 06), published as a multi-volume set in Springer's LNCS series.
“A Quantitative Comparison of Different MLP Activation Functions in Classifications” Emad A. M. Andrews Shenouda. In Lecture Notes in Computer Science: Advances in Neural Networks - ISNN 2006. J. Wang (Ed.) pages 849-857: Springer-Verlag, 2006.
“Negative Reinforcement and Backtrack-Points for Recurrent Neural Networks for Cost-Based Abduction” M. Abdelbar, Mostafa A. El-Hemely , Emad A. M. Andrews, and Donald C. Wunsch II. In Proceedings of IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2005).
“Finding Least Cost Proofs Using High Order Recurrent Networks” Ashraf M. Abdelbar, Emad A. M. Andrews, and G. A. Tagliarini, In Proceedings of IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2003).
“A Hybrid Annealing-Neural Approach to knowledge Discovery in Databases” Ashraf M. Abdelbar, A. Khalil, and Emad A. M. Andrews. In Proceedings of the ISCA 3rd International Conference on Information Reuse and Integration (IRI-2001).