Sergio Santander-Jiménez

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Heterogeneous Computing

Multiobjective Evolutionary Algorithms

Gene Interactions

Top Venues

IEEE Trans. Parallel Distributed Syst.

Concurr. Comput. Pract. Exp.

Appl. Soft Comput.

Publications

Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa
IPU-EpiDet: Identifying Gene Interactions on Massively Parallel Graph-Based AI Accelerators. IPDPS (2024)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, José M. Granado Criado, Álvaro Rubio-Largo, Juan Antonio Gómez Pulido, César Gómez-Martín, Arturo Durán-Domínguez
Offline and online peer assessment in computer engineering: Insights from a 5-year experience. Educ. Inf. Technol. 29 (4) (2024)
Fernando M. Rodríguez-Bejarano, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
GADPO: Genetic Algorithm based on Dominance for Primer Optimization. Expert Syst. Appl. 238 (Part E) (2024)
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
A multi-objective butterfly optimization algorithm for protein encoding. Appl. Soft Comput. 139 (2023)
Miguel Graça, Diogo Marques, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic
Interpreting High Order Epistasis Using Sparse Transformers. CHASE (2023)
Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. CoRR (2022)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics. Future Gener. Comput. Syst. 127 (2022)
José M. Granado Criado, Álvaro Rubio-Largo, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Multiobjective evolutionary computation for high-order genetic interactions. Appl. Soft Comput. 128 (2022)
Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa
Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs. ICPP (2022)
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Parallel multi-objective optimization approaches for protein encoding. J. Supercomput. 78 (4) (2022)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data. IEEE Trans. Cybern. 52 (5) (2022)
Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. IPDPS (2022)
Gaspar Ribeiro, Nuno Neves, Sergio Santander-Jiménez, Aleksandar Ilic
HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection. FCCM (2021)
Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa
Fourth-Order Exhaustive Epistasis Detection for the xPU Era. ICPP (2021)
Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa
Retargeting Tensor Accelerators for Epistasis Detection. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Ricardo Nobre, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic
Accelerating 3-Way Epistasis Detection with CPU+GPU Processing. JSSPP (2020)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Antonio Zahinos-Márquez, Leonel Sousa
GPU acceleration of Fitch's parsimony on protein data: from Kepler to Turing. J. Supercomput. 76 (12) (2020)
Rafael Campos, Diogo Marques, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic
Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection. Euro-Par (2020)
José M. Granado Criado, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo
A multi-objective optimization procedure for solving the high-order epistasis detection problem. Expert Syst. Appl. 142 (2020)
Francisco Gonçalves, Sergio Santander-Jiménez, Leonel Sousa, José M. Granado Criado, Aleksandar Ilic
Parallel evolutionary computation for multiobjective gene interaction analysis. J. Comput. Sci. 40 (2020)
Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa
Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection. IPDPS (2020)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Analysis of MOEA/D Approaches for Inferring Ancestral Relationships. HAIS (2019)
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search. Inf. Sci. 500 (2019)
Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing. J. Supercomput. 75 (7) (2019)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios. Inf. Sci. 485 (2019)
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes. Expert Syst. Appl. 136 (2019)
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado
Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein. Appl. Soft Comput. 74 (2019)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Jorge Vicente-Viola, Leonel Sousa
Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony. J. Parallel Distributed Comput. 126 (2019)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology. PBio@EuroMPI (2018)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data. IEEE Trans. Evol. Comput. 22 (6) (2018)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors. BIBM (2018)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories. Soft Comput. 21 (19) (2017)
Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Parallelism-based approaches in computational biology: a view from diverse case studies. Clust. Comput. 20 (3) (2017)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study. IEEE Trans. Parallel Distributed Syst. 28 (7) (2017)
Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, Miguel A. Vega-Rodríguez
Accelerating the phylogenetic parsimony function on heterogeneous systems. Concurr. Comput. Pract. Exp. 29 (8) (2017)
Daniel Gallego-Sánchez, José M. Granado Criado, Sergio Santander-Jiménez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez
Parallel Multi-objective Optimization for High-Order Epistasis Detection. ICA3PP (2017)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference. Inf. Sci. 330 (2016)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Improving Multiobjective Phylogenetic Searches by Using a Parallel \varepsilon -Dominance Based Adaptation of the Firefly Algorithm. Euro-Par Workshops (2016)
Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez
Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives. Concurr. Comput. Pract. Exp. 27 (18) (2015)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction. Inf. Sci. 324 (2015)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference. Concurr. Comput. Pract. Exp. 27 (3) (2015)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies on Multicore Clusters. IEEE Trans. Parallel Distributed Syst. 26 (6) (2015)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Inferring Multiobjective Phylogenetic Hypotheses by Using a Parallel Indicator-Based Evolutionary Algorithm. TPNC (2014)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction. NaBIC (2014)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships. CLUSTER (2014)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference. Biosyst. 114 (1) (2013)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
A Parallel Multiobjective Algorithm Inspired by Fireflies for Inferring Evolutionary Trees on Multicore Machines. EUROCAST (1) (2013)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference. GECCO (Companion) (2013)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies. EvoBIO (2013)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes. EuroMPI (2013)
Sergio Santander-Jiménez, Miguel Ángel Vega Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez
Evaluating the Performance of a Parallel Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies on Multicore Architectures. ISPA (2012)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez
Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm. EvoBIO (2012)
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez
Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies. TPNC (2012)