Ashraf M. Abdelbar
According to our database^{1},
Ashraf M. Abdelbar
authored at least 67 papers
between 1996 and 2019.
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Bibliography
2019
IEEE Access, 2019
2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Swarm Intelligence  11th International Conference, 2018
2017
Learning clusterbased classification systems with ant colony optimization algorithms.
Swarm Intell., 2017
Intell. Data Anal., 2017
Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Solution recombination in an indicatorbased manyobjective ant colony optimizer for continuous search spaces.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
The effect of the number of ants parameter in the ACOR algorithm: A runtime profiling study.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Intell. Data Anal., 2016
Ant Colony Optimization applied to the regularization process of a High Order neural Network.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
An extension of the ACOR algorithm with timedecaying search width, with application to neural network training.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Swarm Intelligence  10th International Conference, 2016
2015
Swarm Intell., 2015
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the INNS Conference on Big Data 2015, 2015
An improved Particle Swarm Optimization/Tabu search approach to the Quadratic Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Advanced learning methods and exponent regularization applied to a high order neural network.
Neural Comput. Appl., 2014
Incorporating domainspecific heuristics in a particle swarm optimization approach to the quadratic assignment problem.
Memetic Comput., 2014
A barebones ant colony optimization algorithm that performs competitively on the sequential ordering problem.
Memetic Comput., 2014
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014
Exploring the Impact of Different Classification Quality Functions in an ACO Algorithm for Learning Neural Network Structures.
Proceedings of the ECTA 2014, 2014
Proceedings of the Swarm Intelligence  9th International Conference, 2014
2013
Search Context Awareness in Several Ant Colony Optimization Models.
Int. J. Comput. Their Appl., 2013
Utilizing multiple pheromones in an antbased algorithm for continuousattribute classification rule discovery.
Appl. Soft Comput., 2013
LevenbergMarquardt and Conjugate Gradient methods applied to a highorder neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012
Algorithms, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Is there a computational advantage to representing evaporation rate in ant colony optimization as a gaussian random variable?
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Multiple pheromone types and other extensions to the AntMiner classification rule discovery algorithm.
Swarm Intell., 2011
Exploring different rule quality evaluation functions in ACObased classification algorithms.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011
2010
Proceedings of the Swarm Intelligence  7th International Conference, 2010
2009
Incorporating swarm behavior into the adaptation mechanism of an orderdriven artificial financial market.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009
2008
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008
2007
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
An Evolutionary Optimization Approach to CostBased Abduction, with Comparison to PSO.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
A SelfAdaptive Evolutionary Algorithm Applied to Bayesian Networks.
Proceedings of the 22nd International Conference on Computers and Their Applications, 2007
2006
Neural Comput. Appl., 2006
Exploring the fitness landscape and the runtime behaviour of an iterated local search algorithm for costbased abduction.
J. Exp. Theor. Artif. Intell., 2006
2005
Recurrent neural networks with backtrackpoints and negative reinforcement applied to costbased abduction.
Neural Networks, 2005
J. Exp. Theor. Artif. Intell., 2005
Finding MAPs for Large Belief Networks Using Evolutionary Computation.
Int. J. Comput. Their Appl., 2005
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005
2004
Artif. Intell., 2004
Effective Stock Market Prediction with Neural Networks Optimized by PopulationOriented Simulated Annealing.
Proceedings of the ISCA 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2004
2003
Neural Networks, 2003
2002
Neurocomputing, 2002
2001
A Hybrid AnnealingNeural Approach to Knowledge Discovery in Databases.
Proceedings of the ISCA 3rd International Conference on Information Reuse and Integration, 2001
2000
The complexity of approximating MAPs for belief networks with bounded probabilities.
Artif. Intell., 2000
1999
Using simulated annealing to optimize receptive fields for MLP networks with ensemble encoding.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Neural Comput. Appl., 1998
J. Exp. Theor. Artif. Intell., 1998
Artif. Intell., 1998
Artif. Intell., 1998
A Mahalanobis Distance Error Measure for Backpropagation Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
1997
A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations on Bayesian belief networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996