يعرض 1 - 2 نتائج من 2 نتيجة بحث عن '"Kostovska, Ana"', وقت الاستعلام: 1.08s تنقيح النتائج
  1. 1
    مؤتمر

    المساهمون: JSI (JSI Ljubljana), Recherche Opérationnelle (RO), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Leiden Institute of Advanced Computer Science Leiden (LIACS), Universiteit Leiden = Leiden University, European Project: 952215,TAILOR(2020)

    المصدر: 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022
    https://hal.sorbonne-universite.fr/hal-03740760Test
    17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩

    جغرافية الموضوع: Dortmund, Germany

    العلاقة: info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR; hal-03740760; https://hal.sorbonne-universite.fr/hal-03740760Test; https://hal.sorbonne-universite.fr/hal-03740760/documentTest; https://hal.sorbonne-universite.fr/hal-03740760/file/PerRun-AlgoSelect-PPSN2022.pdfTest

  2. 2
    مؤتمر

    المساهمون: JSI (JSI Ljubljana), Recherche Opérationnelle (RO), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Leiden Institute of Advanced Computer Science Leiden (LIACS), Universiteit Leiden = Leiden University, European Project: 952215,TAILOR(2020)

    المصدر: 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022
    https://hal.sorbonne-universite.fr/hal-03740760Test
    17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩

    جغرافية الموضوع: Dortmund, Germany

    العلاقة: info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR; hal-03740760; https://hal.sorbonne-universite.fr/hal-03740760Test; https://hal.sorbonne-universite.fr/hal-03740760/documentTest; https://hal.sorbonne-universite.fr/hal-03740760/file/PerRun-AlgoSelect-PPSN2022.pdfTest