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Marco Pérez-Cisneros

Marco Pérez-Cisneros

D-Index & Metrics

Computer Science

D-Index
36
Citations
4426
World Ranking
11381
National Ranking
11

Overview

Marco Pérez-Cisneros is affiliated with the University of Guadalajara in Mexico. Their research spans primarily within the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Computational Theory and Mathematics.

The scientist's main research topics include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Image Enhancement Techniques
  • Evolutionary Algorithms and Applications
  • Medical Image Segmentation Techniques
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques

Frequently published venues for their work include:

  • IEEE Access
  • Mathematics
  • arXiv (Cornell University)
  • Applied Sciences
  • Applied Mathematical Modelling

Marco Pérez-Cisneros has contributed to several research papers, some of the recent ones are:

  • "An efficient Harris hawks-inspired image segmentation method" (2020) published in Expert Systems with Applications
  • "Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer" (2021) published in Mathematics
  • "Artificial Intelligence in Wind Speed Forecasting: A Review" (2023) published in Energies
  • "A Novel Decomposition-Based Multi-Objective Symbiotic Organism Search Optimization Algorithm" (2023) published in Mathematics
  • "Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm" (2020) published in Biomedical Signal Processing and Control

Frequent co-authors collaborating with Marco Pérez-Cisneros include:

  • Erik Cuevas
  • Diego Oliva
  • Daniel Zaldívar
  • Ram Sarkar
  • Alma Y. Alanís

In addition to journal publications, Marco Pérez-Cisneros has authored books published by Springer Nature. Notably, in 2023, they published "New Metaheuristic Schemes: Mechanisms and Applications."

Best Publications

  • A swarm optimization algorithm inspired in the behavior of the social-spider

    Erik Cuevas;Miguel Cienfuegos;Daniel ZaldíVar;Marco PéRez-Cisneros

  • An efficient Harris hawks-inspired image segmentation method

    Erick Rodríguez-Esparza;Laura A. Zanella-Calzada;Diego Oliva;Ali Asghar Heidari;Ali Asghar Heidari

  • From ants to whales: metaheuristics for all tastes

    Fernando Fausto;Adolfo Reyna-Orta;Erik Cuevas;Ángel G. Andrade

  • Multilevel Thresholding Segmentation Based on Harmony Search Optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • A novel multi-threshold segmentation approach based on differential evolution optimization

    Erik Cuevas;Daniel Zaldivar;Marco Pérez-Cisneros

  • Circle detection using electro-magnetism optimization

    Erik Cuevas;Diego Oliva;Daniel Zaldivar;Marco Pérez-Cisneros

  • A Chaotic Improved Artificial Bee Colony for Parameter Estimation of Photovoltaic Cells

    Diego Oliva;Ahmed A. Ewees;Mohamed Abd El Aziz;Aboul Ella Hassanien

  • An Improved Crow Search Algorithm Applied to Energy Problems

    Primitivo Díaz;Marco Pérez-Cisneros;Erik Cuevas;Omar Avalos

  • A multi-threshold segmentation approach based on Artificial Bee Colony optimization

    Erik Cuevas;Felipe Sención;Daniel Zaldivar;Marco Pérez-Cisneros

  • An Algorithm for Global Optimization Inspired by Collective Animal Behavior

    Erik Cuevas;Mauricio González;Daniel Zaldivar;Marco Pérez-Cisneros

  • Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

    Erik Cuevas;Daniel ZaldíVar;Marco PéRez-Cisneros;Humberto Sossa

  • Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer

    Hassan Shaban;Essam H. Houssein;Marco Pérez-Cisneros;Diego Oliva

  • A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior.

    Daniel Zaldívar;Bernardo Morales;Alma Rodríguez;Arturo Valdivia-G

  • Real-Time Discrete Neural Block Control Using Sliding Modes for Electric Induction Motors

    A.Y. Alanis;E.N. Sanchez;A.G. Loukianov;M.A. Perez-Cisneros

  • Multi-circle detection on images using artificial bee colony (ABC) optimization

    Erik Cuevas;Felipe Sención-Echauri;Daniel Zaldivar;Marco Pérez-Cisneros

  • Circle detection using discrete differential evolution optimization

    Erik Cuevas;Daniel Zaldivar;Marco Pérez-Cisneros;Marte Ramírez-Ortegón

  • Block-matching algorithm based on differential evolution for motion estimation

    Erik Cuevas;Daniel ZaldíVar;Marco PéRez-Cisneros;Diego Oliva

  • A Novel Decomposition-Based Multi-Objective Symbiotic Organism Search Optimization Algorithm

    Unknown

  • Circle Detection by Harmony Search Optimization

    Erik Cuevas;Noé Ortega-Sánchez;Daniel Zaldivar;Marco Pérez-Cisneros

  • Image segmentation by minimum cross entropy using evolutionary methods

    Diego Oliva;Salvador Hinojosa;Valentín Osuna-Enciso;Erik Cuevas

  • Computational Intelligence in Image Processing 2018

    Erik Cuevas;Daniel Zaldívar;Gonzalo Pajares;Marco Perez-Cisneros

  • A novel evolutionary algorithm inspired by the states of matter for template matching

    Erik Cuevas;Alonso EchavarríA;Daniel ZaldíVar;Marco PéRez-Cisneros

Frequent Co-Authors

Erik Cuevas
Erik Cuevas University of Guadalajara
Diego Oliva
Diego Oliva University of Guadalajara
Gonzalo Pajares
Gonzalo Pajares Complutense University of Madrid
Raúl Rojas
Raúl Rojas Freie Universität Berlin
Ali Asghar Heidari
Ali Asghar Heidari National University of Singapore
Ram Sarkar
Ram Sarkar Jadavpur University
Gaurav Dhiman
Gaurav Dhiman Jagat Guru Nanak Dev Punjab State Open University
Ahmed A. Ewees
Ahmed A. Ewees Damietta University
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology

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