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Rafael Stubs Parpinelli - IEEE Xplore Author Profile
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Rafael Stubs Parpinelli

Also published under: Rafael Parpinelli, R. S. Parpinelli, Rafael S. Parpinelli

Publications
15
Citations
744
Publications by Year
20022024
Co-Authors:
Show All Co-Authors (18)
Image of author Rafael Stubs Parpinelli

Rafael Stubs Parpinelli

Also published under: Rafael Parpinelli, R. S. Parpinelli, Rafael S. Parpinelli

Affiliation

Graduate Program in Applied Computing
State University of Santa Catarina
Joinville, Brazil

Publication Topics

Biography

Rafael S. Parpinelli received the B.Sc. degree in computer science from Universidade Estadual de Maringá, Maringá, Brazil, in 1999 and the M.Sc. degree in computer science from Centro Federal de Educação Tecnológica do Paraná, Curitiba, Brazil, in 2001. He is currently working toward the Ph.D. in degree computer science at the same university.,His current research interests include data mining and all kinds of bio-inspired algorithms (mainly, evolutionary algorithms and ant colony algorithms).(Based on document published on 7 November 2002).
Publications
15
Citations
744
Publications by Year
20022024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information

Rafael Stubs Parpinelli;Nicholas Wojeicchowski;Nilcimar Neitzel Will

2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Year: 2024 | Conference Paper |
Protein structure prediction in three dimensions represents a fundamental challenge in Structural Bioinformatics. Leveraging problem-specific information such as fragment insertion, secondary structure, and contact maps can significantly enhance the exploration of the search space. In this study, an evolutionary algorithm is introduced, which incorporates such problem information for protein struc...Show More

Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information

Rafael Stubs Parpinelli;Nicholas Wojeicchowski;Nilcimar Neitzel Will

Year: 2024 | Conference Paper |

A Multi-objective Cluster-based Biased Random-Key Genetic Algorithm with Online Parameter Control Applied to Protein Structure Prediction

Felipe Marchi;Rafael Stubs Parpinelli

2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS)
Year: 2022 | Conference Paper |
The protein structure prediction problem is one of the most important bioinformatics problems. Computational methods can be used to approach this problem and de novo methods are able to generate protein structures without the need of having known similar structures to the predicted protein. These methods transform the prediction problem into an optimization problem, using optimization models that ...Show More

A Multi-objective Cluster-based Biased Random-Key Genetic Algorithm with Online Parameter Control Applied to Protein Structure Prediction

Felipe Marchi;Rafael Stubs Parpinelli

Year: 2022 | Conference Paper |

A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm

Felipe Marchi;Rafael Stubs Parpinelli

2021 IEEE Congress on Evolutionary Computation (CEC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Proteins are base molecules present in live organisms. The study of their structures and functions is of considerable importance for many application fields, particularly for the pharmaceutical area. This paper presents a multi-objective model to the Protein Structure Prediction problem, using three objectives: energy score, secondary structure information, and contact maps information. A BRKGA me...Show More

A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm

Felipe Marchi;Rafael Stubs Parpinelli

Year: 2021 | Conference Paper |

An Energy-Efficient Bio-Scheduling Model For Emergency Networks

Janine Kniess;Marcelo Petri;Rafael Stubs Parpinelli

2021 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2021 | Conference Paper |
The efficient management of resources after a disaster, must take place within a short time and efficiently. Therefore, resource scheduling protocol which shares resources among the victims, respecting time constraints, is decisive. In disaster scenarios, communication infrastructure is usually damaged and a commonly used solution for ensuring connectivity between victims and providers is Mobile A...Show More

An Energy-Efficient Bio-Scheduling Model For Emergency Networks

Janine Kniess;Marcelo Petri;Rafael Stubs Parpinelli

Year: 2021 | Conference Paper |

Resource Scheduling for Mobility Scenarios with Time Constraints

Marcelo Petri;Janine Kniess;Rafael Stubs Parpinelli

2018 XLIV Latin American Computer Conference (CLEI)
Year: 2018 | Conference Paper |
This paper presents an approach for resource scheduling in service discovery to MANETs operating in cenarios with time constraints, as emergency scenarios. The shared resources can be ambulances or rescue cars. With an efficient model of resource scaling, it is intended to provide the largest number of victims in the shortest time. In this work, we present an approach for resource scheduling model...Show More

Resource Scheduling for Mobility Scenarios with Time Constraints

Marcelo Petri;Janine Kniess;Rafael Stubs Parpinelli

Year: 2018 | Conference Paper |

An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization

Vinícius de Figueiredo Marques;Janine Kniess;Rafael Stubs Parpinelli

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
Low-power and Lossy network (LNN) is commonly deployed in Internet of Things applications. It consists of a considerable amount of devices, also known as motes, with sensory capacity and wireless connectivity deployed in a wide geographical area. Such devices face limitations in terms of energy, memory and processing. A common topology in LNN is a mesh-like one. The communication between nodes oft...Show More

An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization

Vinícius de Figueiredo Marques;Janine Kniess;Rafael Stubs Parpinelli

Year: 2018 | Conference Paper |

Scheduling services for MANETs using genetic algorithms

Marcelo Petri;Janine Kniess;Rafael Stubs Parpinelli

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Year: 2017 | Conference Paper |
This paper presents a genetic algorithm for resource scheduling in service discovery to MANETs operating in emergency scenarios. The shared resources could be ambulances or support cars. Through an appropriate model for scheduling resources, we aim to attend the greatest number of victims in the affected area. Performance evaluation results on the Network Simulator NS-3 confirm the effectiveness o...Show More

Scheduling services for MANETs using genetic algorithms

Marcelo Petri;Janine Kniess;Rafael Stubs Parpinelli

Year: 2017 | Conference Paper |

Optimizing a Homomorphic Filter for Illumination Compensation In Face Recognition Using Population-Based Algorithms

Guilherme Felippe Plichoski;Chidambaram Chidambaram;Rafael Stubs Parpinelli

2017 Workshop of Computer Vision (WVC)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Face recognition (FR) systems based on populationbased heuristics algorithms is common nowadays. Depends on the approach, there is a need for tuning parameters in preprocessing step using optimization algorithms. Regarding FR challenges, the illumination variation is one of the critical factors. The homomorphic filter (HF) is one of the methods that can compensate ination aiding to stabilize the f...Show More

Optimizing a Homomorphic Filter for Illumination Compensation In Face Recognition Using Population-Based Algorithms

Guilherme Felippe Plichoski;Chidambaram Chidambaram;Rafael Stubs Parpinelli

Year: 2017 | Conference Paper |

A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization

Leanderson Andre;Rafael Stubs Parpinelli

2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
Year: 2016 | Conference Paper |
Symbiotic relationships are one of several phenomena that can be observed in nature. These relationships consist of interactions between organisms and can lead to benefits or damages to those involved. In an optimization context, symbiotic relationships can be used to perform information exchange between populations of candidate solutions to a given problem. This paper presents an information exch...Show More

A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization

Leanderson Andre;Rafael Stubs Parpinelli

Year: 2016 | Conference Paper |

A hybrid vision system for detecting use of mobile phones while driving

Rafael Berri;Fernando Osório;Rafael Parpinelli;Alexandre Silva

2016 International Joint Conference on Neural Networks (IJCNN)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
In this work, a vision system has been developed using a frontal camera to monitor the driver, enabling to recognize the use of a cell phone while driving. It is estimated that 80% of car crashes and 65% of near collisions involved drivers who were inattentive in traffic for three seconds before the event. Five videos in real environments were generated to test the proposed system. The solution is...Show More

A hybrid vision system for detecting use of mobile phones while driving

Rafael Berri;Fernando Osório;Rafael Parpinelli;Alexandre Silva

Year: 2016 | Conference Paper |

A pattern recognition system for detecting use of mobile phones while driving

Rafael A. Berri;Alexandre G. Silva;Rafael S. Parpinelli;Elaine Girardi;Rangel Arthur

2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Year: 2014 | Conference Paper |
Cited by: Papers (6) | Patents (1)
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with phone) and the other 100 negative images (no phone...Show More

A pattern recognition system for detecting use of mobile phones while driving

Rafael A. Berri;Alexandre G. Silva;Rafael S. Parpinelli;Elaine Girardi;Rangel Arthur

Year: 2014 | Volume: 2 | Conference Paper |

A Heterogeneous Parallel Ecologically-Inspired Approach Applied to the 3D-AB Off-Lattice Protein Structure Prediction Problem

César M.V. Benítez;Rafael Stubs Parpinelli;Heitor Silvério Lopes

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence
Year: 2013 | Conference Paper |
Cited by: Papers (9)
This paper applies a heterogeneous parallel ecology-inspired algorithm (pECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem in a heterogeneous model. The aim is to search low energy conformations for the Protein Str...Show More

A Heterogeneous Parallel Ecologically-Inspired Approach Applied to the 3D-AB Off-Lattice Protein Structure Prediction Problem

César M.V. Benítez;Rafael Stubs Parpinelli;Heitor Silvério Lopes

Year: 2013 | Conference Paper |

An Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice Protein Structure Prediction Problem

Rafael Stubs Parpinelli;Heitor Silverio Lopes

2013 Brazilian Conference on Intelligent Systems
Year: 2013 | Conference Paper |
Cited by: Papers (5)
This paper applies an ecology-inspired algorithm (ECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem, both homogeneously and heterogeneously. The aim is to search low energy conformations for the Protein Structure P...Show More

An Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice Protein Structure Prediction Problem

Rafael Stubs Parpinelli;Heitor Silverio Lopes

Year: 2013 | Conference Paper |

An eco-inspired evolutionary algorithm applied to numerical optimization

Rafael Stubs Parpinelli;Heitor Silvério Lopes

2011 Third World Congress on Nature and Biologically Inspired Computing
Year: 2011 | Conference Paper |
Cited by: Papers (19)
The search for nature-inspired ideas, models and computational paradigms always was of great interest for computer scientists, particularly for those from the Natural Computing area. The concept of optimization is present in several natural processes as in the evolution of species, in the behavior of social groups, in the dynamics of the immune system, in the food search strategies and ecological ...Show More

An eco-inspired evolutionary algorithm applied to numerical optimization

Rafael Stubs Parpinelli;Heitor Silvério Lopes

Year: 2011 | Conference Paper |

Data mining with an ant colony optimization algorithm

R.S. Parpinelli;H.S. Lopes;A.A. Freitas

IEEE Transactions on Evolutionary Computation
Year: 2002 | Volume: 6, Issue: 4 | Journal Article |
The paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts as well as principles. We compare the performance of Ant-Miner with CN2, a well-known data mining algorithm for classification...Show More

Data mining with an ant colony optimization algorithm

R.S. Parpinelli;H.S. Lopes;A.A. Freitas

Year: 2002 | Volume: 6, Issue: 4 | Journal Article |

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