Universidad Carlos III de Madrid-ko ikertzaileekin lankidetzan egindako argitalpenak (13)

2022

  1. A preliminary study about gender gap perception in informatics studies in Spain

    Proceedings - JICV 2022: 12th International Conference on Virtual Campus

2021

  1. Gender and STEAM as part of the MOOC STEAM4ALL

    IEEE Global Engineering Education Conference, EDUCON

2020

  1. Educational Robotics for All: Gender, Diversity, and Inclusion in STEAM

    Proceedings of 2020 IEEE Learning With MOOCS, LWMOOCS 2020

2018

  1. Energy monitoring as an essential building block towards sustainable ultrascale systems

    Sustainable Computing: Informatics and Systems, Vol. 17, pp. 27-42

2016

  1. Panel: What are limits of educational technologies?

    2016 International Symposium on Computers in Education, SIIE 2016: Learning Analytics Technologies

2015

  1. On processing extreme data

    Scalable Computing, Vol. 16, Núm. 4, pp. 467-490

2011

  1. Optimization algorithms for large-scale real-world instances of the frequency assignment problem

    Soft Computing, Vol. 15, Núm. 5, pp. 975-990

2010

  1. Optimizing the DFCN broadcast protocol with a parallel cooperative strategy of multi-objective evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. Benchmarking a wide spectrum of metaheuristic techniques for the radio network design problem

    IEEE Transactions on Evolutionary Computation, Vol. 13, Núm. 5, pp. 1133-1150

2008

  1. Metaheuristics for solving a real-world frequency assignment problem in GSM networks

    GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

  2. Optimization Techniques for Solving Complex Problems

    John Wiley and Sons, pp. 1-476

  3. Preface

    Optimization Techniques for Solving Complex Problems

2007

  1. Metaheuristic approaches for optimal broadcasting design in metropolitan MANETs

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)