| Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm KM Salama, AM Abdelbar, AA Freitas Swarm Intelligence 5, 149-182, 2011 | 66 | 2011 |
| Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery KM Salama, AM Abdelbar, FEB Otero, AA Freitas Applied Soft Computing 13 (1), 667-675, 2013 | 63 | 2013 |
| Learning neural network structures with ant colony algorithms KM Salama, AM Abdelbar Swarm Intelligence 9 (4), 229-265, 2015 | 49 | 2015 |
| Instance selection with ant colony optimization IM Anwar, KM Salama, AM Abdelbar Procedia Computer Science 53, 248-256, 2015 | 45 | 2015 |
| A novel ant colony algorithm for building neural network topologies K Salama, AM Abdelbar International Conference on Swarm Intelligence, 1-12, 2014 | 40 | 2014 |
| Learning Bayesian network classifiers using ant colony optimization KM Salama, AA Freitas Swarm Intelligence 7, 229-254, 2013 | 35 | 2013 |
| ABC-Miner: an ant-based Bayesian classification algorithm KM Salama, AA Freitas International Conference on Swarm Intelligence, 13-24, 2012 | 32 | 2012 |
| Extensions to the Ant-Miner classification rule discovery algorithm KM Salama, AM Abdelbar Swarm Intelligence: 7th International Conference, ANTS 2010, Brussels …, 2010 | 26 | 2010 |
| Exploring different rule quality evaluation functions in aco-based classification algorithms KM Salama, AM Abdelbar 2011 IEEE Symposium on Swarm Intelligence, 1-8, 2011 | 24 | 2011 |
| Using deep learning to associate human genes with age-related diseases F Fabris, D Palmer, KM Salama, JP De Magalhaes, AA Freitas Bioinformatics 36 (7), 2202-2208, 2020 | 22 | 2020 |
| Ant colony algorithms for constructing Bayesian multi-net classifiers KM Salama, AA Freitas Intelligent Data Analysis 19 (2), 233-257, 2015 | 22 | 2015 |
| Practitioners guide to MLOps: A framework for continuous delivery and automation of machine learning K Salama, J Kazmierczak, D Schut Google Could White paper, 2021 | 21 | 2021 |
| Parameter self-adaptation in an ant colony algorithm for continuous optimization AM Abdelbar, KM Salama IEEE Access 7, 18464-18479, 2019 | 20 | 2019 |
| Data reduction for classification with ant colony algorithms KM Salama, AM Abdelbar, IM Anwar Intelligent Data Analysis 20 (5), 1021-1059, 2016 | 20 | 2016 |
| Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation KM Salama, AA Freitas Swarm and Evolutionary Computation 18, 54-70, 2014 | 18 | 2014 |
| Learning multi-tree classification models with ant colony optimization KM Salama, FEB Otero INSTICC Press, 2014 | 16 | 2014 |
| Clustering-based Bayesian multi-net classifier construction with ant colony optimization KM Salama, AA Freitas 2013 IEEE Congress on Evolutionary Computation, 3079-3086, 2013 | 16 | 2013 |
| Extending the ABC-Miner Bayesian classification algorithm KM Salama, AA Freitas Nature Inspired Cooperative Strategies for Optimization (NICSO 2013 …, 2014 | 15 | 2014 |
| Investigating patterns of change, stability, and interaction among scientific disciplines using embeddings B McGillivray, GB Jenset, K Salama, D Schut Humanities and Social Sciences Communications 9 (1), 1-15, 2022 | 13 | 2022 |
| Instance-based classification with ant colony optimization KM Salama, AM Abdelbar, AM Helal, AA Freitas Intelligent Data Analysis 21 (4), 913-944, 2017 | 12 | 2017 |
