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- Khalid M. Salama, Alex Alves Freitas
- ANTS
- 2012

Bayesian networks (BNs) are powerful tools for knowledge representation and inference that encode (in)dependencies among random variables. A Bayesian network classifier is a special kind of these… (More)

- Khalid M. Salama, Alex Alves Freitas
- Swarm Intelligence
- 2013

Bayesian networks are knowledge representation tools that model the (in)dependency relationships among variables for probabilistic reasoning. Classification with Bayesian networks aims to compute the… (More)

- Khalid M. Salama, Ashraf M. Abdelbar
- IEEE Symposium on Swarm Intelligence
- 2011

The μAnt-Miner algorithm is an extension of the well-known Ant-Miner classification rule discovery algorithm. μAnt-Miner utilizes multiple pheromone types, one for each permitted rule class. An ant… (More)

- Khalid M. Salama, Ashraf M. Abdelbar, Alex Alves Freitas
- Swarm Intelligence
- 2011

Ant-Miner is an ant-based algorithm for the discovery of classification rules. This paper proposes five extensions to Ant-Miner: (1) we utilize multiple types of pheromone, one for each permitted… (More)

- Khalid M. Salama, Ashraf M. Abdelbar
- ANTS Conference
- 2014

A re-occurring challenge in applying feed-forward neural networks to a new dataset is the need to manually tune the neural network topology. If one’s attention is restricted to fully-connected… (More)

- Khalid M. Salama, Ashraf M. Abdelbar
- ANTS Conference
- 2010

Ant-Miner is an ant-based algorithm for the discovery of classification rules. This paper proposes four extensions to Ant-Miner: 1) we allow the use of a logical negation operator in the antecedents… (More)

- Khalid M. Salama, Alex Alves Freitas
- IEEE Congress on Evolutionary Computation
- 2013

Bayesian Multi-nets (BMNs) are a special kind of Bayesian network (BN) classifiers that consist of several local networks, typically, one for each predictable class, to model an asymmetric set of… (More)

- Ismail M. Anwar, Khalid M. Salama, Ashraf M. Abdelbar
- IEEE Congress on Evolutionary Computation (CEC)
- 2015

Classification is a central problem in the fields of data mining and machine learning. Using a training set of labelled instances, the task is to build a model (classifier) that can be used to… (More)

- Ashraf M. Abdelbar, Khalid M. Salama
- IEEE Congress on Evolutionary Computation (CEC)
- 2016

ACO<sub>ℝ</sub> is a fairly-recent Ant Colony Optimization (ACO) algorithm for continuous problem domains. ACO<sub>R</sub>'s search width parameter £ controls the extent to which the search is… (More)

- Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero, Alex Alves Freitas
- Appl. Soft Comput.
- 2013

The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose… (More)