Publicacións nas que colabora con Daniel Varela (14)

2023

  1. Protein structure prediction with energy minimization and deep learning approaches

    Natural Computing, Vol. 22, Núm. 4, pp. 659-670

2022

  1. Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction

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

  2. Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 2, pp. 225-252

  3. Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction

    Swarm and Evolutionary Computation

  4. Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method

    Natural Computing, Vol. 21, Núm. 4, pp. 537-551

2019

  1. Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model

    Natural Computing, Vol. 18, Núm. 2, pp. 275-284

  2. Crowding Differential Evolution for Protein Structure Prediction

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

  3. Evolutionary computation methods for protein structure prediction and for the computational modeling of the protein folding process

    Evolutionary computation methods for protein structure prediction and for the computational modeling of the protein folding process

2018

  1. Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 3

2017

  1. A hybrid evolutionary algorithm for protein structure prediction using the face-centered cubic lattice model

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

  2. A protein folding model using the Face-Centered Cubic lattice model

    GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

  3. Protein folding modeling with neural cellular automata using the face-centered cubic model

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

2016

  1. Protein folding modeling with neural cellular automata using rosetta

    GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

2015

  1. Combination of differential evolution and fragment-based replacements for protein structure prediction

    GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference