Preprints

    Refereed journal articles

    1. Huynh, T. D., Tsakalakis, N., Helal, A., Stalla-Bourdillon, S., & Moreau, L. (2022). Explainability-by-Design: A Methodology to Support Explanations in Decision-Making Systems. ArXiv Preprint ArXiv:2206.06251.
    2. Helal, A., & Otero, F. E. B. (2022). Data stream classification with ant colony optimisation. International Journal of Intelligent Systems, 37(9), 5725–5751.
    3. Huynh, T. D., Tsakalakis, N., Helal, A., Stalla-Bourdillon, S., & Moreau, L. (2021). Addressing Regulatory Requirements on Explanations for Automated Decisions with Provenance—A Case Study. Digital Government: Research and Practice, 2(2), 1–14.
    4. Tsakalakis, N., Stalla-Bourdillon, S., Carmichael, L., Huynh, T. D., Moreau, L., & Helal, A. (2021). The dual function of explanations: Why it is useful to compute explanations. Computer Law & Security Review, 41, 105527.
    5. Marzagão, D. K., Huynh, T. D., Helal, A., Baccas, S., & Moreau, L. (2020). Provenance graph kernel. ArXiv Preprint ArXiv:2010.10343.
    6. Huynh, T. D., Tsakalakis, N., Helal, A., Stalla-Bourdillon, S., & Moreau, L. (2020). King’s Research Portal.
    7. Salama, K. M., Abdelbar, A. M., Helal, A. M., & Freitas, A. A. (2017). Instance-based classification with ant colony optimization. Intelligent Data Analysis, 21(4), 913–944.
    8. Helal, A. M., & Abdelbar, A. M. (2014). Incorporating domain-specific heuristics in a particle swarm optimization approach to the quadratic assignment problem. Memetic Computing, 6, 241–254.

    Refereed conference proceedings

    1. Tsakalakis, N., Carmichael, L., Stalla-Bourdillon, S., Moreau, L., Huynh, D., & Helal, A. (2020). Explanations for AI: Computable or Not? Companion Publication of the 12th ACM Conference on Web Science, 77–77.
    2. Helal, A., Brookhouse, J., & Otero, F. E. B. (2018). Archive-based pheromone model for discovering regression rules with ant colony optimization. 2018 IEEE Congress on Evolutionary Computation (CEC), 1–7.
    3. Helal, A., & Otero, F. E. B. (2017). Automatic design of ant-miner mixed attributes for classification rule discovery. Proceedings of the Genetic and Evolutionary Computation Conference, 433–440.
    4. Helal, A. M., Jawdat, E., Elnabarawy, I., Wunsch, D. C., & Abdelbar, A. M. (2017). Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1–5.
    5. Helal, A., & Otero, F. E. B. (2016). A mixed-attribute approach in ant-miner classification rule discovery algorithm. Proceedings of the Genetic and Evolutionary Computation Conference 2016, 13–20.
    6. Helal, A., & Balasa, F. (2015). Multithreaded Signal-to-Memory Mapping Algorithm for Embedded Multidimensional Signal Processing. 2015 20th International Conference on Control Systems and Computer Science, 255–260.
    7. Helal, A., Jawdat, E., & Abdelbar, A. M. (2015). An improved Particle Swarm Optimization/Tabu search approach to the Quadratic Assignment Problem. 2015 IEEE Congress on Evolutionary Computation (CEC), 220–226.