Professor
Department of Mathematics and Computer Science, Brandon University
Artificial intelligence, data mining, neural networks, ant colony optimization, particle swarm optimization, genetic algorithms, computer games.
2019
Journal
1. Ashraf M, Abdelbar, and Khalid M. Salama, “Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization,” IEEE Access, Vol. 7, 2018, pp. 18464-18479.
2018
Conference Proceedings
2. Ashraf M, Abdelbar, Islam Nabaraway, Khalid M. Salama, and Donald C. Wunsch, “Matrix Factorization Based Collaborative Filtering with Resilient Gradient Descent,” Proceedings IEEE International Joint Conference on Neural Networks, 2018, pp. 1-7.
3. Ashraf M. Abdelbar, and Khalid M. Salama, “Does the ACOR Algorithm Benefit from the Use of Crossover?” Proceedings International Conference on Swarm Intelligence (ANTS-2018), 2018, pp. 342-350.
4. Ashraf M, Abdelbar, Khalid M. Salama, Jesus Falcon-Garcia, and Carlos Coello Coello, “An Adaptive Recombination-Based Extension of the iMOACOR Algorithm,” Proceedings IEEE Symposium Series in Computational Intelligence, 2018, pp. 735-742.
2017
Journal
5. Khalid M. Salama and Ashraf M. Abdelbar, “Learning Cluster-Based Classification Systems with Ant Colony Optimization,” Swarm Intelligence, Vol. 11, No. 3-4, 2017, pp. 211-242.
6. Khalid M. Salama, and Ashraf M. Abdelbar, “Instance-Based Classification with Ant Colony Optimization,” Intelligent Data Analysis, Vol. 21, No. 4, 2017, pp. 913-941.
Conference Proceedings
7. Ashraf M. Abdelbar, and Khalid M. Salama, “Solution Recombination in an Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces,” Proceedings IEEE Symposium Series in Computational Intelligence, 2017.
8. Ashraf M. Abdelbar, and Khalid M. Salama, “A Sugeno-Based Search Width Decay Schedule in the ACOR Algorithm,” Proceedings IEEE Symposium Series in Computational Intelligence, 2017.
9. Ashraf M. Abdelbar, and Khalid M. Salama, “The Effect of the Number of Ants Parameter in the ACOR Algorithm: A Run-Time Profiling Study,” Proceedings IEEE Symposium Series in Computational Intelligence, 2017.
10. Ayah Helal, Enas Jawdat, Islam Elnabaraway, Ashraf Abdelbar, and Donald C. Wunsch, “Integrated Particle Swarm and Evolutionary Algorithm Approaches to the Quadratic Assignment Problem,” Proceedings IEEE Symposium Series in Computational Intelligence, 2017.
2016
Journal
11. Khalid M. Salama, Ashraf M. Abdelbar, and Ismail M. Anwar. “Data Reduction for Classification with Ant Colony Algorithms,” Intelligent Data Analysis, Vol. 20, No. 5, pp. 1021-1059, 2016.
12. Gautam Srivastava, Evan Citulsky, Kyle Tilbury, Ashraf Abdelbar, Toshiyuki Amagasa, “The Effects of Ant Colony Optimization on Graph Anonymization,” GSTF Journal of Computing, Vol. 5, No. 1, pp. 92-101, 2016.
Book Chapter
13. Ashraf M. Abdelbar, Islam El-Nabarawy, Donald C. Wunch, and Khalid M. Salama, Ant Colony Optimization Applied to the Training of a High Order Neural Network with Adaptable Exponential Weights, in: Ming Zhang, ed., Applied Artificial Higher Order Neural Networks for Control and Recognition, IGI Global Press, pp. 362-374, 2016.
Conference Proceedings
14. Ashraf M. Abdelbar, and Khalid M. Salama, “An Extension of the ACOR Algorithm with Time-Decaying Search Width, with Application to Neural Network Training,” Proceedings IEEE Congress on Evolutionary Computation, Vancouver, Canada, pp. 2360-2366, 2016.
15. Ashraf M. Abdelbar, and Khalid M. Salama, “Ant Colony Optimization Applied to the Regularization Process of a High Order Neural Network,” Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), Athens, Greece, pp. 1-8, 2016.
16. Islam El-Nabarawy, Donald C. Wunsch, and Ashraf M. Abdelbar, “Biclustering ARTMAP Collaborative Filtering Recommender System,” Proceedings IEEE International Joint Conference on Neural Networks, Vancouver, Canada, pp. 2986-2991, 2016.
17. Khalid M. Salama, and Ashraf M. Abdelbar, “Using Ant Colony Optimization to Build Cluster-Based Classification Systems,” Proceedings International Conference on Swarm Intelligence (ANTS-2016), Springer Lecture Notes in Computer Science Vol. 9882, Brussels, Belgium, pp. 210-221, 2016.
18. Ashraf M. Abdelbar, and Khalid M. Salama, “Clustering with the ACO Algorithm,” Proceedings International Conference on Swarm Intelligence (ANTS-2016), Springer Lecture Notes in Computer Science Vol. 9882, Brussels, Belgium, pp. 291-292, 2016.
2015
Journal
19. Khalid M. Salama, and Ashraf M. Abdelbar, “Learning Neural Network Structures with Ant Colony Algorithms,” Swarm Intelligence, Vol. 9, No. 4, pp. 229-265, 2015.
Conference Proceedings
20. Ismail M. Anwar and Khalid M. Salama and Ashraf M. Abdelbar, “Instance Selection with AntColony Optimization,” Procedia Computer Science (Proceedings INNS Conference on Big Data), Vol. 53, pp. 248-256, 2015.
21. Ayah Helal, Enas Jawdat, and Ashraf M. Abdelbar, “An Improved Particle Swarm Optimization/Tabu Search Approach to the Quadratic Assignment Problem,” Proceedings IEEE Congress on Evolutionary Computation, Sendai, Japan, pp. 220-226, 2015.
22. Ismail M. Anwar, Khalid M. Salama and Ashraf M. Abdelbar. “ADR-Miner: An Ant-Based Data Reduction Algorithm for Classification,” Proceedings IEEE Congress on Evolutionary Computation, Sendai, Japan, pp. 515-521, 2015.
23. Khalid M. Salama, Ashraf M. Abdelbar and Fernando E.B. Otero, “Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers,” Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), Cape Town, South Africa, pp. 1146-1153, 2015
24. Ashraf M. Abdelbar and Khalid M. Salama, A Gradient-Guided ACO Algorithm for Neural Network Learning, Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), pp. 1133-1140, 2015.
2014
Journal
25. Ayah Helal, and Ashraf M. Abdelbar, “Incorporating Domain-Specific Heuristics in a Particle Swarm Optimization Approach to the Quadratic Assignment Problem,” Memetic Computing, 2014, Vol. 6, No. 4, pp. 241-254, 2014.
26. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch II, “A Bare-Bones Ant Colony Optimization Algorithm that Performs Competitively on the Sequential Ordering Problem,” Memetic Computing, Vol. 6, No. 1, pp. 19-29, 2014.
27. Islam El-Nabarawy, and Ashraf M. Abdelbar, “Advanced Learning Methods and Exponent Regularization Applied to a High Order Neural Network,” Neural Computing & Applications, 2014, Vol. 25, No. 3, pp. 897-910, September 2014.
Conference Proceedings
28. Khalid M. Salama, and Ashraf M. Abdelbar, “A Novel Ant Colony Algorithm for Building Neural Network Topologies,” Proceedings International Conference on Swarm Intelligence (ANTS-2014), Springer Lecture Notes in Computer Science Vol. 8667, Brussels, Belgium, pp. 1-12, 2014.
29. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch, “An Extended EigenAnt Colony System Applied to the Sequential Ordering Problem,” Proceedings IEEE Swarm Intelligence Symposium (SIS-2014), Orlando, Florida, pp. 1-7, December 2014.
30. Khalid M. Salama and Ashraf M. Abdelbar, “Exploring the Impact of Different Classification Quality Functions in the ACO Algorithm for Learning Neural Network Structures,” Proceedings 6th International Conference on Evolutionary Computation Theory and Applications, Rome, Italy, October 22-24, pp. 137-144, 2014.
2013
Journal
31. Khalid M. Salama, Ashraf M. Abdelbar, Fernando E.B. Otero, and Alex A. Freitas, “Utilizing Multiple Pheromone Types in an Ant-Based Algorithm for Continuous-Attribute Classification Rule Discovery,” Applied Soft Computing, Vol. 13, pp. 667-675, 2013.
32. Ashraf M. Abdelbar, and D.C. Wunsch, “Search Context Awareness in Several Ant Colony Optimization Models,” International Journal of Computers and Their Applications, Vol. 20, No. 2, pp. 97-110, 2013.
Conference Proceedings
33. Islam Nabarawy, Ashraf M. Abdelbar, and Donald C. Wunsch, “Levenberg-Marquardt and Conjugate Gradient Methods Applied to a High Order Neural Network,” Proceedings 2013 IEEE/INNS International Joint Conference in Neural Networks (IJCNN-2013), Dallas, Texas, pp. 2126-2132, 2013.
34. Ahmed Ezzat, and Ashraf Abdelbar, “A Less Exploitative Variation of the Enhanced Ant Colony System Applied to SOP,” Proceedings 2013 IEEE Congress on Evolutionary Computation (CEC-13), Cancun, Mexico, pp. 1917-1924, 2013.
2012
Journal
35. Ashraf M. Abdelbar, “Alpha-Beta Pruning and Althöfer’s Pathology-Free Negamax Algorithm,” Algorithms, Vol. 5, pp. 521-528, 2012.
Conference Proceedings
36. Ashraf M. Abdelbar, “Is There a Computational Advantage to Representing Evaporation Rate as a Gaussian Random Variable?,” Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012), pp. 1-8, Philadelphia, USA, 2012.
37. Ashraf M. Abdelbar, and Donald C. Wunsch, “Improving the Performance of MAX-MIN Ant System on the TSP Using Stubborn Ants,” Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012) Conference Companion, Philadelphia, USA,pp. 1395-1396, 2012.
38. Ashraf M. Abdelbar, and Donald C. Wunsch, “Promoting Search Diversity in Ant Colony Optimization with Stubborn Ants,” Proceedings Complex Adaptive Systems Conference, Vol. 12 of Procedia Computer Science, Washington, DC, pp. 456-462, November 2012.
39. Ashraf M. Abdelbar, and Donald C. Wunsch, “A Modified Ant Colony Optimization Algorithm,” Proceedings International Conference on Information Science and Computing Applications, Bali, Indonesia, pp. 150-154, November 2012.
2011
Journal
40. Khalid M. Salama, Ashraf M. Abdelbar, and Alex A. Freitas, “Multiple Pheromone Types and Other Extensions to the Ant-Miner Classification Rule Discovery Algorithm”, Swarm Intelligence, Vol. 5, No. 3-4, pp. 149-182, 2011.
Conference Proceedings
41. Khalid M. Salama, and Ashraf M. Abdelbar, “Exploring Different Rule Quality Evaluation Functions in ACO-Based Classification Algorithms,” Proceedings IEEE 2011 Swarm Intelligence Symposium, Paris, France, pp. 1-8, April 2011.
2010
Conference Proceedings
42. Khalid M. Salama, and Ashraf M. Abdelbar, “Extensions to the Ant-Miner Classification Rule Discovery Algorithms,’’ Proceedings International Conference on Swarm Intelligence (ANTS-2010), Springer Lecture Notes in Computer Science Vol. 6234, pp. 43-50,2010.
43. Ashraf M. Abdelbar, “Gaussian Random Evaporation in Ant Colony Optimization,” Proceedings International Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-2010), St. Louis, Missouri, pp. 243-250, Nov. 2010.
2009
Book Chapter
44. Sherif G. Aly and Ashraf Abdelbar, “Environmental Information and Air Pollution Levels in the City of Cairo: The Role of Information Technology” in: Egypt, Energy and the Environment: Critical Sustainability Perspectives, (Tarek H. Selim, ed.), London: Adonis and Abbey Publishers Ltd, pp. 137-145, 2009.
Conference Proceedings
45. Ashraf M. Abdelbar, Sherif Ragab, and Eskander Tooma, “Incorporating Swarm Behavior into the Adaptation Mechanism of an Order-Driven Artificial Financial Market,” Proceedings IEEE Swarm Intelligence Symposium, Nashville, Tennessee, pp. 104-108, 2009.
2008
Conference Proceedings
46. Ashraf M. Abdelbar, “Stubborn Ants”, Proceedings IEEE 2008 Swarm Intelligence Symposium, Saint Louis, Missouri, pp. 1-5, 2008.
47. Ashraf M. Abdelbar, “Particles with Personality”, late-breaking poster, IEEE 2008 Swarm Intelligence Symposium, Saint Louis, Missouri, pp. 18-19 (published in a book of late-breaking abstracts, separate from the main conference proceedings), 2008.
2007
Conference Proceedings
48. Shawn T. Chivers, Gene A. Tagliarini, and Ashraf M. Abdelbar, “An Evolutionary Optimization Approach to Cost-Based Abduction, with Comparison with PSO,” Proceedings 2007 IEEE/INNS International Joint Conference in Neural Networks, Orlando, pp. 2926-2930, 2007.
49. Ashraf M. Abdelbar, Suzan Abdelshahid, and Donald C. Wunsch, “Gaussian Versus Cauchy Membership Functions in Fuzzy PSO,” Proceedings 2007 IEEE/INNS International Joint Conference in Neural Networks,” Orlando, pp. 2902-2907, 2007.
50. Shawn T. Chivers, Gene A. Tagliarini, and Ashraf M. Abdelbar, “Finding Least Cost Proofs Using a Hierarchical PSO,” Proceedings IEEE Swarm Intelligence Symposium, Honolulu, Hawaii, pp. 156-161, April 2007.
51. Ashraf M. Abdelbar, and Manar I. Hosny, “A Self-Adaptive Evolutionary Algorithm Applied to Bayesian Networks,” Proceedings ISCA International Conference on Computers and Their Applications, Honolulu, Hawaii, pp. 118-122, March 2007.
2006
Journal
52. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, “Receptive Field Optimization for Ensemble Encoding,” Neural Computing & Applications, Vol. 15, No. 1, pp. 1-8, 2006.
53. Ashraf M. Abdelbar, Sarah H. Gheita, and Heba A. Amer, “Exploring the Fitness Landscape and the Run-Time Behavior of an Iterated Local Search Algorithm for Cost-Based Abduction,” Journal of Theoretical and Experimental Artificial Intelligence, Vol. 18, No. 3, pp. 365-382, September 2006.
54. Ashraf M. Abdelbar, and Manar I. Hosny, “Probabilistic Explanation with Genetic Algorithms and Simulated Annealing,” WSEAS Transactions on Computers, Vol. 5, No. 10, pp. 2162-2168, October 2006.
Conference Proceedings
55. Ashraf M. Abdelbar, and Manar I. Hosny, “Finding Most Probable Explanations Using a Self-Adaptive Hybridization of Genetic Algorithms and Simulated Annealing,” Proceedings 10th WSEAS International Conference on Computers, July 13-15, Vouliagmeni, Greece, pp. 800-806, 2006.
56. Ashraf M. Abdelbar, and Heba A. Amer, “Finding Least Cost Proofs with Population-Oriented Simulated Annealing,” Proceedings 2006 Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-04), St. Louis, Missouri, pp. 79-84, Nov. 2006.
2005
Journal
57. Ashraf M. Abdelbar, Mostafa A. El-Hemaly, Emad A.M. Andrews, and D.C. Wunsch, “Recurrent Neural Networks with Backtrack-Points and Negative Reinforcement Applied to Cost-Based Abduction,” Neural Networks, Vol. 18, No. 5-6, pp. 755-764, August 2005.
58. Ashraf M. Abdelbar, and Mohamed Hefny, “An Efficient LP-Based Admissible Heuristic for Cost-Based Abduction,” Journal of Experimental and Theoretical Artificial Intelligence, Vol. 17, No. 3, pp. 297-303, September 2005.
59. Ashraf M. Abdelbar, Emad A.M. Andrews, and D.C Wunsch, “A Connectionist Approach to Cost-Based Abduction,” International Journal of Computational Cognition, Vol. 3, No. 2, pp. 46-51, June 2005.
60. Ashraf M. Abdelbar, and Sahar Attia, “Finding MAPs for Large Belief Networks Using Evolutionary Computation,” International Journal of Computers and Their Applications, Vol. 12, No. 1, pp. 16-20, March 2005.
Conference Proceedings
61. Ashraf M. Abdelbar, Suzan Abdelshahid, and D.C. Wunsch, “Fuzzy PSO: A Generalization of Particle Swarm Optimization,” Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 1086-1091, 2005.
62. Ashraf M. Abdelbar, Mostafa Hemaly, Emad Andrews, and D.C. Wunsch, “Negative Reinforcement and Backtrack Points for Recurrent Neural Networks for Cost-Based Abduction,’’ Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 827-832, 2005.
63. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, “Experimental Evaluation of Hybrid Method for Configuring Ensemble Encoding Receptors,’’ Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 989-994, 2005.
64. Ashraf M. Abdelbar, Ossama Soliman, Sherif Kinawy, and Hisham Sayed, “An Evolved Seega Player Capable of Strong Novice-Level Play,” Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 332-336, 2005.
65. Ashraf M. Abdelbar, “Towards an Improved Twin-Page Method for Rapid Transaction Undo Recovery,” Proceedings ACS/IEEE International Conference on Computer Systems and Applications, Cairo, Egypt, January 3-6, p. 38, 2005.
2004
Journal
66. Ashraf M. Abdelbar, “Approximating Cost-Based Abduction Is NP-Hard,” Artificial Intelligence, Vol. 159, No.1-2, pp. 231-239, November 2004.
Conference Proceedings
67. Ashraf M. Abdelbar, and Manar I. Hosny, “An Adaptive Hybrid Genetic Annealing Technique Applied to Bayesian Networks,” Proceedings 2004 Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-04), St. Louis, Missouri, pp. 45-50, Nov. 2004.
68. Mohamed M. Mahmoud, Ashraf M. Abdelbar, Maha Bali, and Mohamed El-Hagry, “Effective Stock Market Prediction with Neural Networks Optimized by Population-Oriented Simulated Annealing,” Proceedings 12th ISCA International Conference on Intelligent and Adaptive Systems and Software Engineering, pp. 131-134, 2004.
69. Ashraf M. Abdelbar, and Suzan Abdelshahid, “Instinct-Based PSO with Local Search Applied to Satisfiability,” Proceedings 2004 IEEE International Joint Conference on Neural Networks, Vol. 3, pp. 2291-2295, 2004.
70. Ashraf M. Abdelbar, Sherif Ragab, and Sara Mitri, “Co-Evolutionary Particle Swarm Optimization Applied to the 7×7 Seega Game,” Proceedings 2004 IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 243-248, 2004.
2003
Journal
71. Ashraf M. Abdelbar, Emad A.M. Andrews, and Donald C. Wunsch, “Abductive Reasoning with Recurrent Neural Networks,” Neural Networks, 2003, Vol. 16, No. 5-6, pp. 665-673, 2003.
Conference Proceedings
72. Mary El-Mallakh, and Ashraf M. Abdelbar, “Genetic Algorithms for Production Scheduling,” Proceedings Seventh World Multiconference on Systemics, Cybernetics and Informatics, 2003.
73. Ashraf M. Abdelbar, Emad A.M. Andrews, Gene A. Tagliarini, “Finding Least Cost Proofs Using High Order Recurrent Networks,’’ Proceedings IEEE/INNS International Joint Conference on Neural Networks, Vol. 4, pp. 2803-2806, 2003.
74. Ashraf M. Abdelbar, and Heba Amer, “Applying Guided Evolutionary Simulated Annealing to Cost-Based Abduction,” Proceedings IEEE/INNS International Joint Conference on Neural Networks, Vol. 3, pp. 2428-2431, 2003.
75. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, “Three Heuristics for Receptive Field Optimization for Ensemble Encoding,” Proceedings IEEE/INNS International Joint Conference on Neural Networks, Vol. 3, 2328-2333, 2003.
76. Ashraf M. Abdelbar, and Suzan AbdelShahid, “A Modified Particle Swarm Algorithm Applied to Weighted Max-Sat,” Proceedings International Joint Conference on Artificial Intelligence (IJCAI-03) Workshop on Stochastic Search Algorithms, pp. 25-30, 2003.
77. Ashraf M. Abdelbar, and Mohamed Mokhtar, “A k-Elitist MAX-MIN Ant System Approach to Cost-Based Abduction,” Proceedings IEEE Congress on Evolutionary Computation, Vol. 4, pp. 2635-2641, 2003.
78. Ashraf M. Abdelbar, and Suzan Abdelshahid, “Swarm Optimization with Instinct-Driven Particles,” Proceedings IEEE Congress on Evolutionary Computation, Vol. 2, pp. 777-782, 2003.
79. Ashraf M. Abdelbar, Sherif Ragab, and Sara Mitri, “Applying Co-Evolutionary Particle Swarm Optimization to the Egyptian Board Game Seega,” Proceedings IEEE Congress on Evolutionary Computation (CEC-03) Workshop on Genetic Programming, pp. 9-15, 2003.
2002
Journal
80. Ashraf M. Abdelbar, Sahar Attia, and Gene A. Tagliarini, “A Hybridization of Bayesian and Neural Learning,’’ Neurocomputing, Vol. 48, pp. 443-453, October 2002.
Conference Proceedings
81. Ashraf M. Abdelbar, Ghada M. Bahig, and Larry R. Medsker, “A Recurrent Network Approach to MAP Explanation,” IEEE/INNS International Joint Conference on Neural Networks, Vol. 3, pp. 2503-2508, 2002.
2001
Conference Proceedings
82. Ashraf Abdelbar, “Extending Guided Evolutionary Simulated Annealing,” Proceedings IEEE/INNS International Joint Conference on Neural Networks, Vol. 4, pp. 2568-2573, 2001.
83. Murad Assaggaf, and Ashraf M. Abdelbar, “A Connectionist Approach to Evidential Reasoning,” Proceedings IEEE/INNS International Joint Conference on Neural Networks, 2001.
84. Ashraf M. Abdelbar, Awad H. Khalil, and Emad Andrews, “A Hybrid Neural-Annealing Approach to Knowledge Discovery,” Proceedings Third ISCA International Conference on Information Reuse and Integration, pp. 42-44, Nov. 2001.
2000
Journal
85. Ashraf M. Abdelbar, Steven T. Hedetniemi, and Sandra M. Hedetniemi, “The Complexity of Approximating MAPs for Belief Networks with Bounded Probabilities,” Artificial Intelligence, Vol. 124, pp. 283-288, 2000.
Conference Proceedings
86. Ashraf M. Abdelbar, and M. Mohy Mahmoud, “Genetic Optimization of Neural Network Preprocessing in a Financial Application,” Proceedings Second ISCA International Conference on Information Reuse and Integration, Hawaii, pp. 107-110, 2000.
1999
Book Chapter
87. Ashraf M. Abdelbar, “Designing High Order Recurrent Networks for Bayesian Belief Revision,” in: Larry Medsker, ed., Recurrent Neural Networks: Design and Applications, CRC Press, pp. 77-98, 1999.
Conference Proceedings
88. Ashraf M. Abdelbar, and Murad Assaggaf, “Recurrent High Order Networks for Probabilistic Explanation,” Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 3, pp. 1515-1520, 1999.
89. Ashraf M. Abdelbar, “A Linear Constraint Satisfaction Approach to Bayesian Networks,” Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 6, pp. 4404-4408, 1999.
90. Ashraf M. Abdelbar, and Sridhar Narayan, “Using Simulated Annealing to Optimize Receptive Fields for MLP Networks with Ensemble Encoding,” Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 6, pp. 4079-4083, 1999.
91. Ashraf M. Abdelbar, and Sahar Attia, “Finding Most Probable Explanations Using Simulated Annealing as a Genetic Operator,” Proceedings World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, July 31-August 2, Vol. 8, pp. 131-139, 1999.
1998
Journal
92. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, “Approximating MAPs for Belief Networks is NP-Hard and Other Theorems,” Artificial Intelligence, Vol. 102, pp. 21-38, 1998.
93. Ashraf M. Abdelbar, “An Algorithm for Finding MAPs for Belief Networks through Cost-Based Abduction,” Artificial Intelligence, Vol. 104, pp. 331-338, 1998.
94. Ashraf M. Abdelbar, “Achieving Superior Generalization with a High Order Neural Network,” Neural Computing & Applications, Vol. 7, pp. 141-146, 1998.
95. Ashraf M. Abdelbar, and Gene A. Tagliarini, “Using Neural Network Learning in an Othello Evaluation Function,” Journal of Experimental and Theoretical Artificial Intelligence, Vol. 10, pp. 217-230, 1998.
Conference Proceedings
96. Ashraf M. Abdelbar, and Gene A. Tagliarini, “A Hybrid Bayesian Neural Machine Learning Strategy Applied to CONNECT-4,” Proceedings IEEE International Joint Conference on Neural Networks, Anchorage, Alaska, Vol. 1, pp. 402- 407, 1998.
97. Amr Goneid, Ibrahim Farag, Ashraf M. Abdelbar, and Abear Kamel, “A Mahanobolis Distance Based Error Measure for Backpropagation Neural Networks,” Proceedings International Conference on Neural Computation, Vienna, Austria, pp. 572-576, 1998.
98. Mohamed M. Mahmoud, Ashraf M. Abdelbar, and Tarek Radi, “A Framework for Evaluating Multiprocessor Scheduling Techniques,” Proceedings ISCA International Conference on Parallel and Distributed Computing Systems, Chicago, Illinois, pp. 121-128, 1998.
99. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, “A Recursive Cubic-Order Neural Network for Generating Most Probable Explanations,” Proceedings IMACS/IEEE International Conference on Computational Engineering in Systems Applications, Tunis, 1998.
1997
Conference Proceedings
100. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, “A Parallel Hybrid Genetic Algorithms Simulated Annealing Approach to Finding Most Probable Explanations on Bayesian Belief Networks,” Proceedings IEEE International Conference on Neural Networks, Houston, Texas, Vol. I, pp. 450-455, 1997.
1996
101. Ashraf M. Abdelbar, and Gene A. Tagliarini, “HONEST: A New High Order Feedforward Neural Network,” Proceedings IEEE International Conference on Neural Networks, Washington, DC, Vol. II, pp. 1250-1255, 1996.
Brandon University
270 18th Street
Brandon, MB
R7A 6A9
CANADA
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Fax: (204) 726-4573