SERGIO SANTANDER JIMÉNEZ

Literals

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  • SANTANDER JIMÉNEZ
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  • SERGIO
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  • 9
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  • SERGIO SANTANDER JIMÉNEZ
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  • 0000000228622026
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  • http://orcid.org/0000000228622026
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  • 55155600600

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Relations

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  • ARQUITECTURAS ESPECIALIZADAS
  • DISEÑO Y PROGRAMACIÓN WEB
  • ESTRUCTURA DE COMPUTADORES
  • ESTRUCTURA DE COMPUTADORES
  • ESTRUCTURA DE COMPUTADORES
  • ESTRUCTURA DE COMPUTADORES
  • SISTEMAS DIGITALES
  • SISTEMAS DIGITALES
  • SISTEMAS DIGITALES
  • SISTEMAS DIGITALES
  • TECNOLOGÍAS DE LA COMUNICACIÓN Y LA DOCUMENTACIÓN CIENTÍFICA
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• ou:tienePublicacion
  • A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference
  • A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference
  • A multi-objective butterfly optimization algorithm for protein encoding
  • A multi-objective optimization procedure for solving the high-order epistasis detection problem
  • A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios
  • A multiobjective proposal based on the firefly algorithm for inferring phylogenies
  • A parallel multiobjective algorithm inspired by fireflies for inferring evolutionary trees on multicore machines
  • Accelerating 3-Way Epistasis Detection with CPU+GPU Processing
  • Accelerating the phylogenetic parsimony function on heterogeneous systems
  • Algorithms for Computational Biology
  • Analysis of MOEA/D Approaches for Inferring Ancestral Relationships
  • Analysis of scheduling policies in metaheuristics for evolutionary biology
  • Análisis Comparativo de Tecnologías GPGPU para Acelerar Funciones Objetivo: parsimonia como caso de estudio
  • Análisis de diseños paralelos multiobjetivo y políticas de planificación en biología evolutiva
  • Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships
  • Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference
  • Asynchronous non-generational model to parallelize metaheuristics: A bioinformatics case study
  • Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios
  • Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony
  • Comparing different operators and models to improve a multiobjective artificial bee colony algorithm for inferring phylogenies
  • Evaluating the performance of a parallel multiobjective artificial bee colony algorithm for inferring phylogenies on multicore architectures
  • Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics
  • Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection
  • Fourth-Order Exhaustive Epistasis Detection for the xPU Era
  • GADPO: Genetic Algorithm based on Dominance for Primer Optimization
  • GPU acceleration of Fitch’s parsimony on protein data: from Kepler to Turing
  • HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection
  • Heterogeneous CPU+iGPU processing for efficient epistasis detection
  • Improving multiobjective phylogenetic searches by using a parallel ε-dominance based adaptation of the firefly algorithm
  • Inferring multiobjective phylogenetic hypotheses by using a parallel indicator-based evolutionary algorithm
  • Inferring phylogenetic trees using a multiobjective artificial bee colony algorithm
  • Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data
  • Interpreting High Order Epistasis Using Sparse Transformers
  • Message from the PBio 2015 Workshop Chairs
  • Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein
  • Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes
  • Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search
  • Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data
  • Multiobjective evolutionary computation for high-order genetic interactions
  • Offline and online peer assessment in computer engineering: Insights from a 5-year experience
  • On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction
  • Paralelizando una Aproximación Multiobjetivo y Bioinspirada para Filogenética Usando Esquemas Híbridos MPI/OpenMP
  • Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing
  • Parallel evolutionary computation for multiobjective gene interaction analysis
  • Parallel multi-objective optimization for high-order epistasis detection
  • Parallel multi-objective optimization approaches for protein encoding
  • Parallel multiobjective metaheuristicsfor inferring phylogenies on multicore clusters
  • Parallelism-based approaches in computational biology: a view from diverse case studies
  • Parallelism-based technologies in bioinformatics and biomedicine: A view from diverse perspectives
  • Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes
  • Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction
  • Performance evaluation of dominance-based and indicator-based multi objective approaches for phylogenetic inference
  • PhyloMissForest: a random forest framework to construct phylogenetic trees with missing data
  • Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors
  • Preface
  • Preface
  • Preface
  • Proceedings of the 6th International Workshop on Parallelism in Bioinformatics - PBio 2018
  • Retargeting Tensor Accelerators for Epistasis Detection
  • Taxonomía de Algoritmos Evolutivos Multiobjetivo Paralelos: una Visión Intra-Algorítmica
  • Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs
  • Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study
  • Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study
  • Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories
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• ou:perteneceAGrupoInvestigacion
  • Arquitectura de Computadores y Diseño Lógico
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  • ARQUITECTURA Y TECNOLOGÍA DE COMPUTADORES
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  • Escuela Politécnica
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  • TECNOLOGÍA COMPUTADORES Y DE LAS COMUNICACIONES

Inverse Relations

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  • Análisis E Inferencia Multiobjetivo De Hipótesis Filogenéticas Mediante Computación Paralela Y Bioinspirada - Multiobjective Analysis And Inference Of Phylogenetic Hypotheses By Means Of Parallel And Bioinspired Computing

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