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Computer Science

D-Index
39
Citations
5980
World Ranking
9810
National Ranking
29

Overview

Frederico G. Guimarães is affiliated with the Universidade Federal de Minas Gerais in Brazil. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on subfields such as Artificial Intelligence, Management Science and Operations Research, Signal Processing, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's work covers a range of topics, including:

  • Stock Market Forecasting Methods
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting
  • Cognitive Science and Mapping
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Neural Networks and Applications

Recent publications of Frederico G. Guimarães include:

  • "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions," 2020, Chaos Solitons & Fractals
  • "Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs," 2021, Computers in Biology and Medicine
  • "Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks," 2020, Computers and Electronics in Agriculture
  • "Time series forecasting using fuzzy cognitive maps: a survey," 2022, Artificial Intelligence Review

Frederico G. Guimarães frequently collaborates with several researchers, including:

  • Petrônio Cândido de Lima e Silva
  • Omid Orang
  • Marcos Antônio Alves
  • Hélder Seixas Lima
  • Bruno Alberto Soares Oliveira

The scientist publishes regularly in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • Congresso Brasileiro de Automática
  • SSRN Electronic Journal

Best Publications

  • COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions

    Petrônio C. L. Silva;Paulo V. C. Batista;Helder Seixas Lima;Marcos Antonio Alves

  • Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

    Hossein Javedani Sadaei;Petrônio Cândido de Lima e Silva;Frederico Gadelha Guimarães;Muhammad Hisyam Lee

  • Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

    Vitor N. Coelho;Vitor N. Coelho;Miri Weiss Cohen;Igor M. Coelho;Nian Liu

  • A clonal selection algorithm for optimization in electromagnetics

    F. Campelo;F.G. Guimaraes;H. Igarashi;J.A. Ramirez

  • A multi-objective model for the green capacitated location-routing problem considering environmental impact

    Eliana M. Toro;John F. Franco;Mauricio Granada Echeverri;Frederico Gadelha Guimarães

  • Index-based permutation-diffusion in multiple-image encryption using DNA sequence

    Rasul Enayatifar;Frederico Gadelha Guimarães;Patrick Siarry

  • Electric Distribution Network Expansion Under Load-Evolution Uncertainty Using an Immune System Inspired Algorithm

    E.G. Carrano;F.G. Guimaraes;R.H.C. Takahashi;O.M. Neto

  • A GPU deep learning metaheuristic based model for time series forecasting

    Igor M. Coelho;Vitor N. Coelho;Eduardo J. da S. Luz;Luiz S. Ochi

  • Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices

    Hossein Nematzadeh;Rasul Enayatifar;Homayun Motameni;Frederico Gadelha Guimarães

  • A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem

    Fernando Bernardes de Oliveira;Rasul Enayatifar;Hossein Javedani Sadaei;Frederico Gadelha Guimarães

  • Short-term load forecasting method based on fuzzy time series, seasonality and long memory process

    Unknown

  • Review: Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors

    Sílvia Grasiella Moreira Almeida;Sílvia Grasiella Moreira Almeida;Frederico Gadelha Guimarães;Jaime Arturo Ramírez

  • Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios

    Roberto G. Ribeiro;Luciano P. Cota;Thiago A. M. Euzebio;Jaime A. Ramirez

  • Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid.

    Vitor Nazário Coelho;Igor Machado Coelho;Bruno Nazário Coelho;Miri Weiss Cohen

  • A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment

    Vitor Nazário Coelho;Igor Machado Coelho;Bruno Nazário Coelho;Agnaldo José da Rocha Reis;Agnaldo José da Rocha Reis

  • Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.

    Marcos Antonio Alves;Giulia Zanon Castro;Bruno Alberto Soares Oliveira;Leonardo Augusto Ferreira

  • Aggregation Trees for visualization and dimension reduction in many-objective optimization

    Alan R.R. de Freitas;Peter J. Fleming;Frederico G. Guimarães

  • Probabilistic Forecasting With Fuzzy Time Series

    Petronio Candido de Lima Silva;Hossein Javedani Sadaei;Rosangela Ballini;Frederico Gadelha Guimaraes

  • Stock market forecasting by using a hybrid model of exponential fuzzy time series

    Fatemeh Mirzaei Talarposhti;Hossein Javedani Sadaei;Rasul Enayatifar;Frederico Gadelha Guimarães

  • Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks

    Patrícia de Oliveira e Lucas;Marcos Antonio Alves;Petrônio Cândido de Lima e Silva;Frederico Gadelha Guimarães

  • Pareto cone ε-dominance: improving convergence and diversity in multiobjective evolutionary algorithms

    Lucas S. Batista;Felipe Campelo;Frederico G. Guimarães;Jaime A. Ramírez

  • A modified immune network algorithm for multimodal electromagnetic problems

    F. Campelo;F.G. Guimaraes;H. Igarashi;J.A. Ramirez

  • A comparison of dominance criteria in many-objective optimization problems

    Lucas S. Batista;Felipe Campelo;Frederico G. Guimaraes;Jaime A. Ramirez

Frequent Co-Authors

Peter J. Fleming
Peter J. Fleming University of Sheffield
Nenad Mladenović
Nenad Mladenović Khalifa University
Jean-Yves Potvin
Jean-Yves Potvin University of Montreal
Deborah Negrão-Corrêa
Deborah Negrão-Corrêa Universidade Federal de Minas Gerais
Reinaldo M. Palhares
Reinaldo M. Palhares Universidade Federal de Minas Gerais
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
El-Ghazali Talbi
El-Ghazali Talbi University of Lille

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