Anil Yaman

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dr. Anil Yaman

 https://orcid.org/0000-0003-1379-3778
  • 14 Conference contribution
  • 9 Article
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  • 2024

    An Approach to Representation Learning in Morphological Robot Evolution

    Stuurman, A. C., Yaman, A. & Eiben, A. E., 2024, 2023 IEEE Symposium Series on Computational Intelligence (SSCI): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., p. 1072-1077 6 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    19 Downloads (Pure)

  • An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms

    Custode, L. L., Caraffini, F., Yaman, A. & Iacca, G., 2024, GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1838-1845 8 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models

    Hall, O. & Yaman, A., 2024, Artificial Intelligence in Music, Sound, Art and Design: 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings. Johnson, C., Rebelo, S. M. & Santos, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 194-210 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14633 LNCS).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    3 Downloads (Pure)

  • Evolving Generalist Controllers to Handle a Wide Range of Morphological Variations

    Triebold, C. & Yaman, A., 2024, GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 1137-1145 9 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem

    de Jeu, L. & Yaman, A., 2024, Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I. Smith, S., Correia, J. & Cintrano, C. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1. p. 162-177 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14634 LNCS)(EvoApplications: International Conference on the Applications of Evolutionary Computation (Part of EvoStar); vol. 2024).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    11 Downloads (Pure)

  • The Effect of Training Schedules on Morphological Robustness and Generalization

    Barba, E., Yaman, A. & Iacca, G., 2024, GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1870-1878 9 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
  • 2021

    Topological Insights into Sparse Neural Networks

    Liu, S., Van der Lee, T., Yaman, A., Atashgahi, Z., Ferraro, D., Sokar, G., Pechenizkiy, M. & Mocanu, D. C., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 279-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • 2020

    Novelty producing synaptic plasticity

    Yaman, A., Iacca, G., Mocanu, D. C., Fletcher, G. & Pechenizkiy, M., 8 Jul 2020, GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 93-94

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • 2019

    Learning with delayed synaptic plasticity

    Yaman, A., Iacca, G., Mocanu, D. C., Fletcher, G. & Pechenizkiy, M., 13 Jul 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 152-160

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • 2018

    Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution

    Yaman, A., Mocanu, D. C., Iacca, G., Fletcher, G. & Pechenizkiy, M., 2 Jul 2018, GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 569-576

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • Multi-strategy Differential Evolution

    Yaman, A., Iacca, G., Coler, M., Fletcher, G. & Pechenizkiy, M., 2018, Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings. Sim, K. & Kaufmann, P. (eds.). Springer Verlag, p. 617-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • 2017

    A framework for knowledge integrated evolutionary algorithms

    Hallawa, A., Yaman, A., Iacca, G. & Ascheid, G., 2017, Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Proceedings. Hidalgo, J. I., Cotta, C., Hu, T., Tonda, A., Burrelli, P., Coler, M., Iacca, G., Kampouridis, M., Mora Garcia, A. M., Squillero, G., Brabazon, A., Haasdijk, E., Heinerman, J., D Andreagiovanni, F., Bacardit, J., Nguyen, T. T., Silva, S., Tarantino, E., Esparcia-Alcazar, A. I., Ascheid, G., Glette, K., Cagnoni, S., Kaufmann, P., de Vega, F. F., Mavrovouniotis, M., Zhang, M., Divina, F., Sim, K., Urquhart, N. & Schaefer, R. (eds.). Springer Verlag, p. 653-659 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • Presenting the ECO: Evolutionary computation ontology

    Yaman, A., Hallawa, A., Coler, M. & Iacca, G., 2017, Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Proceedings. Hidalgo, J. I., Cotta, C., Hu, T., Tonda, A., Burrelli, P., Coler, M., Iacca, G., Kampouridis, M., Mora Garcia, A. M., Squillero, G., Brabazon, A., Haasdijk, E., Heinerman, J., D Andreagiovanni, F., Bacardit, J., Nguyen, T. T., Silva, S., Tarantino, E., Esparcia-Alcazar, A. I., Ascheid, G., Glette, K., Cagnoni, S., Kaufmann, P., de Vega, F. F., Mavrovouniotis, M., Zhang, M., Divina, F., Sim, K., Urquhart, N. & Schaefer, R. (eds.). Springer Verlag, p. 603-619 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • 2014

    Trend and network analysis of common eligibility features for cancer trials in ClinicalTrials.gov

    Weng, C., Yaman, A., Lin, K. & He, Z., 2014, Smart Health - International Conference, ICSH 2014, Proceedings. Springer Verlag, p. 130-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review