Heder S. Bernardino

Orcid: 0000-0003-2012-7802

Affiliations:
  • Universidade Federal de Juiz de Fora, MG, Brazil


According to our database1, Heder S. Bernardino authored at least 92 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cryptoeconomic User Behavior in the Acute Stages of Geopolitical Conflict.
IEEE Trans. Comput. Soc. Syst., October, 2024

Exploring the solution space for adaptive curriculum sequencing: Study of a multi-objective approach.
Internet Things, April, 2024

Solving multi-objective truss structural optimization problems considering natural frequencies of vibration and automatic member grouping.
Evol. Intell., April, 2024

A Data-Distribution and Successive Spline Points based discretization approach for evolving gene regulatory networks from scRNA-Seq time-series data using Cartesian Genetic Programming.
Biosyst., 2024

An interactive reference-point-based method for incorporating user preferences in multi-objective structural optimization problems.
Appl. Soft Comput., 2024

Short-term Forecasting of the Wind Power Generation of Brazilian Power Stations Using an LSTM Model.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Short-Term Fourier Transform as Preprocessing for Common Spatial Pattern.
Proceedings of the International Joint Conference on Neural Networks, 2024

Inferring Gene Regulatory Networks from Single-Cell RNA-Sequencing Experimental Data using Cartesian Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning.
Expert Syst. Appl., November, 2023

An adaptive mutation for cartesian genetic programming using an ε-greedy strategy.
Appl. Intell., November, 2023

Solving Multi-Agent Pickup and Delivery Problems using Multiobjective Optimization.
J. Intell. Robotic Syst., October, 2023

Differential Evolution for linear equality constraint satisfaction via unconstrained search in the null space.
Evol. Intell., April, 2023

Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web.
AI Soc., April, 2023

COVID-19 Detection Using Forced Cough Sounds and Medical Information.
RITA, 2023

Residual Attention Module on EEGN et for Brain-Computer Interface.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Analysis of account behaviors in Ethereum during an economic impact event.
CoRR, 2022

A variable neighborhood descent with ant colony optimization to solve a bilevel problem with station location and vehicle routing.
Appl. Intell., 2022

Previsão da Classe de Frequência de Acesso de Objetos em Serviços de Armazenamento em Nuvem.
Proceedings of the 40th Brazilian Symposium on Computer Networks and Distributed Systems, 2022

Analyzing Data Augmentation Methods for Convolutional Neural Network-based Brain-Computer Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2022

High-performance cartesian genetic programming on GPU for the inference of gene regulatory networks using scRNA-seq time-series data.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Human activity recognition using grammar-based genetic programming.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Automated Machine Learning for Time Series Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

A Reward Function Using Image Processing for a Deep Reinforcement Learning Approach Applied to the Sonic the Hedgehog Game.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Feature Extraction for a Genetic Programming-Based Brain-Computer Interface.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
A comparative analysis of metaheuristics applied to adaptive curriculum sequencing.
Soft Comput., 2021

Fighting Under-price DoS Attack in Ethereum with Machine Learning Techniques.
SIGMETRICS Perform. Evaluation Rev., 2021

Analyzing Transaction Confirmation in Ethereum Using Machine Learning Techniques.
SIGMETRICS Perform. Evaluation Rev., 2021

Forecasting the carsharing service demand using uni and multivariable models.
J. Internet Serv. Appl., 2021

An analysis of the fees and pending time correlation in Ethereum.
Int. J. Netw. Manag., 2021

Single Electrode Energy on Clinical Brain-Computer Interface Challenge.
Biomed. Signal Process. Control., 2021

Metaheuristic-based adaptive curriculum sequencing approaches: a systematic review and mapping of the literature.
Artif. Intell. Rev., 2021

Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface.
Proceedings of the Progress in Artificial Intelligence, 2021

Solving a Bilevel Problem with Station Location and Vehicle Routing Using Variable Neighborhood Descent and Ant Colony Optimization.
Proceedings of the Progress in Artificial Intelligence, 2021

Human Activity Recognition Using Parallel Cartesian Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Cheapest Insertion and Disruption of Routes Operators for Solving Multi-Depot Electric Vehicle Location Routing Problem with Time Windows and Battery Swapping via GRASP and RVND.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

On the Analysis of CGP Mutation Operators When Inferring Gene Regulatory Networks Using ScRNA-Seq Time Series Data.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

Identifying User Behavior Profiles in Ethereum Using Machine Learning Techniques.
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

2020
A benchmark suite for designing combinational logic circuits via metaheuristics.
Appl. Soft Comput., 2020

Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
An improved differential evolution algorithm for optimization including linear equality constraints.
Memetic Comput., 2019

Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Designing Combinational Circuits Using a Multi-objective Cartesian Genetic Programming with Adaptive Population Size.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

An Analysis of the Fees and Pending Time Correlation in Ethereum.
Proceedings of the 9th Latin American Network Operations and Management Symposium, 2019

Differential evolution based spatial filter optimization for brain-computer interface.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A 3-Step Cartesian Genetic Programming for Designing Combinational Logic Circuits with Multiplexers.
Proceedings of the Progress in Artificial Intelligence, 2019

On the Impact of the Objective Function on Imbalanced Data using Cartesian Genetic Programming Neuroevolutionary Approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Knowledge discovery in multiobjective optimization problems in engineering via Genetic Programming.
Expert Syst. Appl., 2018

Reinforcement learning with optimized reward function for stealth applications.
Entertain. Comput., 2018

Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology.
BMC Bioinform., 2018

An Improved Rolling Horizon Evolution Algorithm with Shift Buffer for General Game Playing.
Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018

Game State Evaluation Heuristics in General Video Game Playing.
Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018

Hybridization of Cartesian Genetic Programming and Differential Evolution for Generating Classifiers Based on Neural Networks.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Hybrid Grammar-Based Genetic Programming for Symbolic Regression Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Evolving Controllers for Mario AI Using Grammar-based Genetic Programming.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Differential Evolution with Adaptive Penalty and Tournament Selection for Optimization Including Linear Equality Constraints.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Cartesian Genetic Programming with Crossover for Designing Combinational Logic Circuits.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A massively parallel Grammatical Evolution technique with OpenCL.
J. Parallel Distributed Comput., 2017

Predator-Prey Techniques for Solving Multiobjective Scheduling Problems for Unrelated Parallel Machines.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Solving a Multiobjective Caloric-Restricted Diet Problem using Differential Evolution.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Development of an open-source web-based intervention for Brazilian smokers - Viva sem Tabaco.
BMC Medical Informatics Decis. Mak., 2016

A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A parallel multi-GPU Clonal Selection Algorithm for optimization using OpenCL and OpenMP.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

An initialization method for grammatical evolution assisted by decision trees.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A differential evolution algorithm for bilevel problems including linear equality constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Ant colony approaches for multiobjective structural optimization problems with a cardinality constraint.
Adv. Eng. Softw., 2015

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks.
Proceedings of the 14th Brazilian Symposium on Computer Games and Digital Entertainment, 2015

A Differential Evolution Algorithm for Optimization Including Linear Equality Constraints.
Proceedings of the Progress in Artificial Intelligence, 2015

Using grammar-based genetic programming to determine characteristics of multiple infections and environmental factors in the development of allergies and asthma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Grammar-based immune programming to assist in the solution of functional equations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Stealthy Path Planning Using Navigation Meshes.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Optimization of combinational logic circuits through decomposition of truth table and evolution of sub-circuits.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Improving recruitment effectiveness using genetic programming techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Differential evolution with the Adaptive Penalty Method for constrained multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

A family of adaptive penalty schemes for steady-state genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Grammar-based immune programming.
Nat. Comput., 2011

Surrogate-assisted clonal selection algorithms for expensive optimization problems.
Evol. Intell., 2011

Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

A new approach for generating numerical constants in grammatical evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving Numerical Constants in Grammatical Evolution with the Ephemeral Constant Method.
Proceedings of the Progress in Artificial Intelligence, 2011

2010
Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Faster Clonal Selection Algorithm for Expensive Optimization Problems.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

Probabilistic performance profiles for the experimental evaluation of stochastic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Artificial Immune Systems for Optimization.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Grammar-Based Immune Programming for Symbolic Regression.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

2008
A new hybrid AIS-GA for constrained optimization problems in mechanical engineering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A hybrid genetic algorithm for constrained optimization problems in mechanical engineering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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