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PUBLICATIONS

​​Peer-reviewed Journal Articles

  1. Yaman A, Leibo JZ, Iacca G, Lee SW. The emergence of division of labour through decentralized social sanctioning. Proceedings of the Royal Society B. 290: 20231716. 2023.
    https://doi.org/10.1098/rspb.2023.1716
     

  2. Yaman A, Bredeche N, Çaylak O, Leibo JZ, Lee SW. Meta-control of social learning strategies. PLOS Computational Biology 18(2): e1009882. https://doi.org/10.1371/journal.pcbi.1009882.
     

  3. Yaman A, van der Lee T, Iacca G. Online distributed evolutionary optimization of time division multiple access protocols. Expert Systems with Applications, 211, 118627.
     

  4. Yaman A, Iacca G. Distributed Embodied Evolution over Networks. Applied Soft Computing. 101:106993, 2021. DOI: 10.1016/j.asoc.2020.106993 
     

  5. Yaman A, Iacca G, Mocanu DC, Coler M, Fletcher G, Pechenizkiy M. Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evolutionary Computation. 2020. DOI: 10.1162/evco_a_00286
    arXiv preprint arXiv:1904.01709. 
     

  6. Çaylak O, Yaman A, Baumeier B. Evolutionary Approach to Constructing a Deep Feedforward Neural Network for Prediction of Electronic Coupling Elements in Molecular Materials. Journal of Chemical Theory and Computation. 2019. 
     

  7. Sen A, Goldstein A, Chakrabarti S, Shang N, Kang T, Yaman A, Ryan PB, Weng C. The Representativeness of Eligible Patients in Type 2 Diabetes Trials: A Case Study Using GIST 2.0. Journal of the American Medical Informatics Association. 2017 Sep 13;25(3):239-47. 

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Peer-reviewed Conference Publications

  1. Triebold, C, Yaman, A. Evolving generalist controllers to handle a wide range of morphological variations​. In Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (GECCO ’24) 2024 (In press).
     

  2. Hall, O., Yaman, A. Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models. In: Johnson, C., Rebelo, S.M., Santos, I. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2024. Lecture Notes in Computer Science, vol 14633. Springer, Cham. https://doi.org/10.1007/978-3-031-56992-0_13
    (*Best Paper Award*)
     

  3. de Jeu, L., Yaman, A. Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem. In: Smith, S., Correia, J., Cintrano, C. (eds) Applications of Evolutionary Computation. EvoApplications 2024. Lecture Notes in Computer Science, vol 14634. https://doi.org/10.1007/978-3-031-56852-7_11
     

  4. Liu S, van der Lee T, Yaman A, Atashgahi Z, Ferrar D, Sokar G, Pechenizkiy M, Mocanu DC. Topological Insights into Sparse Neural Networks. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2020. https://arxiv.org/abs/2006.14085.
     

  5. Yaman A, Iacca G, Mocanu DC, Fletcher G, Pechenizkiy M. Novelty Producing Synaptic Plasticity, In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO ’20). ACM, New York, NY, USA, 93–94. DOI: https://doi.org/10.1145/3377929.3389976.
     

  6. Yaman A, Iacca G, Mocanu DC, Fletcher G, Pechenizkiy M. Learning with Delayed Synaptic Plasticity. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19), Manuel López-Ibáñez (Ed.). ACM, New York, NY, USA, 152-160, 2019. DOI: https://doi.org/10.1145/3321707.3321723.
     

  7. Caraffini F, Iacca G, Yaman A. Improving (1+ 1) Covariance Matrix Adaptation Evolution Strategy: A Simple Yet Efficient Approach. In AIP Conference Proceedings 2019 Feb 12 (Vol. 2070, No. 1, p. 020004). AIP Publishing. 
     

  8. Yaman A, Iacca G, Caraffini F. A Comparison of Three Differential Evolution Strategies in Terms of Early Convergence with Different Population Sizes. In AIP Conference Proceedings 2019 Feb 12 (Vol. 2070, No. 1, p. 020002). AIP Publishing. 
     

  9. Yaman A, Mocanu DC, Iacca G, Fletcher G, Pechenizkiy M. Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. In Proceedings of the Genetic and Evolutionary Computation Conference 2018 (pp. 569-576). ACM. 
     

  10. Yaman A, Iacca G, Coler M, Fletcher G, Pechenizkiy M. Multi-strategy Differential Evolution. In: Sim K., Kaufmann P. (eds) Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, vol 10784. Springer, Cham. 
     

  11. Yaman A, Hallawa A, Coler M, Iacca G. Presenting the ECO: Evolutionary Computation Ontology. In: Squillero G., Sim K. (eds) Applications of Evolutionary Computation. EvoApplications 2017. Lecture Notes in Computer Science, vol 10199. Springer, Cham. 
     

  12. Hallawa A, Yaman A, Iacca G, Ascheid G. A Framework for Knowledge Integrated Evolutionary Algorithms.  In: Squillero G., Sim K. (eds) Applications of Evolutionary Computation. EvoApplications 2017. Lecture Notes in Computer Science, vol 10199. Springer, Cham.
     

  13. Yaman A, Chakrabarti S, Sen A, Weng C. How Have Cancer Clinical Trial Eligibility Criteria Evolved over Time?. AMIA Summits on Translational Science Proceedings. 2016. (Distinguished Clinical Research Informatics Paper Award).
     

  14. Chandar P*, Yaman A*, Hoxha J, He Z, Weng C. Similarity-based Recommendation of New Concepts to a Terminology. In AMIA Annual Symposium Proceedings 2015 (Vol. 2015, p. 386). American Medical Informatics Association. (* equal contribution)
     

  15. Weng C, Yaman A, Lin K, He Z. Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials. gov. In International Conference on Smart Health 2014 Jul 10 (pp. 130-141). Springer, Cham. 

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