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Items where Author, Editor or other role is "Helal, A.M."

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Number of items: 6.


Helal, Ayah, Otero, Fernando E.B. (2022) Data stream classification with ant colony optimisation. International Journal of Intelligent Systems, . ISSN 0884-8173. (doi:10.1002/int.22809) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:92827)
Format: PDF

Salama, Khalid M., Abdelbar, Ashraf M., Helal, Ayah, Freitas, Alex A. (2017) Instance-based classification with ant colony optimization. Intelligent Data Analysis, 21 (4). pp. 913-944. ISSN 1088-467X. (doi:10.3233/IDA-160031) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:66669)

Book section

Helal, Ayah and Otero, Fernando E.B. (2017) Automatic design of ant-miner mixed attributes for classification rule discovery. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 433-440. ISBN 978-1-4503-4920-8. (doi:10.1145/3071178.3071306) (KAR id:62176)
Format: PDF

Conference or workshop item

Helal, Ayah, Brookhouse, James, Otero, Fernando E.B. (2018) Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization. In: 2018 IEEE Congress on Evolutionary Computation (CEC). . pp. 1-7. IEEE ISBN 978-1-5090-6018-4. E-ISBN 978-1-5090-6017-7. (doi:10.1109/CEC.2018.8477643) (KAR id:67178)
Format: PDF

Helal, Ayah, Otero, Fernando E.B. (2016) A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm. In: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation. . pp. 13-20. ACM Press (doi:10.1145/2908812.2908900) (KAR id:55150)
Format: PDF


Helal, Ayah (2019) New Archive-Based Ant Colony Optimization Algorithms for Learning Predictive Rules from Data. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:80465)
Format: PDF

This list was generated on Thu Oct 6 20:08:49 2022 BST.