Heitor Silvério Lopes

发表

A Survey of Swarm Algorithms Applied to Discrete Optimization Problems

Jonas Krause, Jelson Cordeiro, Rafael Stubs Parpinelli, 2013 .

A hybrid particle swarm optimization model for the traveling salesman problem

Heitor Silvério Lopes, Thiago R. Machado, H. S. Lopes, 2005 .

Genetic Algorithms for the Nesting Problem in the Packing Industry

Flávio Neves, Heitor Silvério Lopes, Roberto Selow, 2007, IMECS.

Extracting human attributes using a convolutional neural network approach

Heitor Silvério Lopes, Hugo Alberto Perlin, 2015, Pattern Recognit. Lett..

Desenvolvimento de uma Rede Neural LVQ em Linguagem VHDL para Aplicações em Tempo-Real

Mauricio Kugler, Heitor Silvério Lopes, Jorge Tortato Júnior, 2016 .

An Ant Colony Algorithm for Classification Rule Discovery

Alex A. Freitas, Rafael Stubs Parpinelli, Heitor Silvério Lopes, 2002 .

A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2020 .

Bioluminescent Swarm Optimization Algorithm

Daniel de Oliveira, Rafael Stubs Parpinelli, Heitor Silvério Lopes, 2011 .

Computational Biology and Applied Bioinformatics

Heitor Silvério Lopes, Leonardo Magalhães Cruz, 2014 .

Web Tools for Molecular Biological Data Analysis

Ana Tereza Ribeiro de Vasconcelos, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2005, Encyclopedia of Information Science and Technology.

Computers in Physical Therapy Education: Interactive Multimedia Learning with MuStreT

Luciana Vieira Castilho-Weinert, Heitor Silvério Lopes, H. S. Lopes, 2009, Informatics Educ..

EGIPSYS: AN ENHANCED GENE EXPRESSION PROGRAMMING APPROACH FOR SYMBOLIC REGRESSION PROBLEMS †

Heitor Silvério Lopes, Wagner R. Weinert, H. S. Lopes, 2004 .

A genetic programming method for protein motif discovery and protein classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2011, Soft Comput..

Soft Biometrics Classication in Videos Using Transfer Learning and Bidirectional Long Short-Term Memory Networks

Heitor Silvério Lopes, Manassés Ribeiro, Leandro Takeshi Hattori, 2020 .

ESTRATÉGIAS PARA MELHORIA DO DESEMPENHO DO ALGORITMO DE PROGRAMAÇÃO DE EXPRESSÃO GENÉTICA NA TAREFA DE REGRESSÃO SIMBÓLICA

Heitor Silvério Lopes, Wagner Rodrigo Weinert, 2007 .

Simulation of the Dynamic Behavior of One-Dimensional Cellular Automata Using Reconfigurable Computing

Heitor Silvério Lopes, Wagner Rodrigo Weinert, César Manuel Vargas Benítez, 2007, ARC.

Feature Selection Using Differential Evolution for Unsupervised Image Clustering

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2018, ICAISC.

Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation

Matheus Gutoski, Heitor Silvério Lopes, Leandro Takeshi Hattori, 2019, 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Mining Comprehensible Rules from Data with an Ant Colony Algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2002, SBIA.

A comparison of FPGA and FPAA technologies for a signal processing application

Heitor Silvério Lopes, Roberto Selow, Carlos R. Erig Lima, 2009, 2009 International Conference on Field Programmable Logic and Applications.

Discrete Capacity Assignment in IP networks using Particle Swarm Optimization

Emílio Carlos Gomes Wille, Heitor Silvério Lopes, Eduardo Yabcznski, 2011, Appl. Math. Comput..

Multiple Face Recognition Using Local Features and Swarm Intelligence

Leyza Baldo Dorini, Heitor Silvério Lopes, Hugo Vieira Neto, 2014, IEICE Trans. Inf. Syst..

An ant colony based system for data mining: applications to medical data

Alex A. Freitas, Rafael Stubs Parpinelli, Heitor Silvério Lopes, 2001 .

Rule Discovery with a Parallel Genetic Algorithm

Alex A. Freitas, Heitor Silvério Lopes, Dieferson L.A. Araujo, 2000 .

An Ecology-Based Heterogeneous Approach for Cooperative Search

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2012, SBIA.

Population-based harmony search using GPU applied to protein structure prediction

Rafael S. Parpinelli, Heitor Silvério Lopes, César Manuel Vargas Benítez, 2014, Int. J. Comput. Sci. Eng..

Reconfigurable Computing for Accelerating Protein Folding Simulations

Heitor Silvério Lopes, Carlos R. Erig Lima, Nilton B. Armstrong, 2007, ARC.

Hierarchical Parallel Genetic Algorithm applied to the three-dimensional HP Side-chain Protein Folding Problem

Heitor Silvério Lopes, César Manuel Vargas Benítez, H. S. Lopes, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

A Differential Evolution Approach for Protein Folding Using a Lattice Model

Heitor Silvério Lopes, Reginaldo Bitello, H. S. Lopes, 2007, Journal of Computer Science and Technology.

Genetic Programming for Induction of Context-Free Grammars

Heitor Silvério Lopes, Ernesto Rodrigues, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Computação evolucionária em problemas de engenharia

Heitor Silvério Lopes, Ricardo Hiroshi Caldeira Takahashi, 2011 .

An object detection and recognition system for weld bead extraction from digital radiographs

Lúcia Valéria Ramos de Arruda, Heitor Silvério Lopes, Tania Mezzadri Centeno, 2006, Comput. Vis. Image Underst..

A Framework for Analyzing Book Covers and Co-purchases using Object Detection and Data Mining Methods

Matheus Gutoski, Heitor Silvério Lopes, Leandro Takeshi Hattori, 2019, 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Solving the base station placement problem by means of swarm intelligence

Marcos Talau, Emílio Carlos Gomes Wille, Heitor Silvério Lopes, 2013, 2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks (CIComms).

A differential evolution approach for protein structure optimisation using a 2D off-lattice model

Heitor Silvério Lopes, Diego Humberto Kalegari, 2010, Int. J. Bio Inspired Comput..

A high performance approach for parallel computing of fibre Bragg grating strain profiles using graphics processing units

Heitor Silvério Lopes, Marcia Muller, Lucas Hermann Negri, 2017 .

A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 2004, Artif. Intell. Medicine.

A Compact Genetic Algorithm with Elitism and Mutation Applied to Image Recognition

Heitor Silvério Lopes, Carlos R. Erig Lima, Rafael R. Silva, 2008, ICIC.

A Genetic Programming Approach for Image Segmentation

Heitor Silvério Lopes, Hugo Alberto Perlin, H. S. Lopes, 2013 .

An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact Maps

Rafael S. Parpinelli, Heitor Silvério Lopes, César Manuel Vargas Benítez, 2016, GECCO.

Evolutionary computation and swarm intelligence for the inference of gene regulatory networks

Fabrício Martins Lopes, Heitor Silvério Lopes, Leandro Takeshi Hattori, 2016, International Journal of Innovative Computing and Applications.

Extracao de regras de redes neurais via algoritmos geneticos

Alex A. Freitas, Julio Cesar Nievola, Heitor Silvério Lopes, 2016 .

MAHATMA: A Genetic Programming-Based Tool for Protein Classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Evolutionary Grammatical Inference

Heitor Silvério Lopes, Ernesto Rodrigues, 2009, Encyclopedia of Artificial Intelligence.

Implementation of a Parallel Algorithm for Protein Pairwise Alignment Using Reconfigurable Computing

Heitor Silvério Lopes, Carlos R. Erig Lima, Guilherme L. Moritz, 2006, 2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006).

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

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2013, 2013 Brazilian Conference on Intelligent Systems.

A benchmark of optimally folded protein structures using integer programming and the 3D-HP-SC model

Matheus Gutoski, Heitor Silvério Lopes, Luiz Fernando Nunes, 2019, Comput. Biol. Chem..

Deep metric learning for open-set human action recognition in videos

Heitor Silvério Lopes, André Eugênio Lazzaretti, Matheus Gutoski, 2020, Neural Computing and Applications.

Algorithmic Trading Using Genetic Algorithms in the Brazilian Stock Exchange

Heitor Silvério Lopes, Jean Pierre Jarrier Conti, H. S. Lopes, 2020 .

Como Mensurar a Importância, Influência e a Relevância de Usuários do Twitter? Uma análise da interação dos candidatos à presidência do Brasil nas eleições de 2018 pdf

Matheus Gutoski, Heitor Silvério Lopes, Leandro Takeshi F. Hattori, 2019, ArXiv.

PRADA: a high-performance reconfigurable parallel architecture based on the dataflow model

Edson Pedro Ferlin, Heitor Silvério Lopes, Carlos R. Erig Lima, 2011, Int. J. High Perform. Syst. Archit..

Performance Analysis of Swarm Intelligence Algorithms for the 3D-AB off-lattice Protein Folding Problem

Rafael S. Parpinelli, Jelson Cordeiro, Heitor Silvério Lopes, 2014, J. Multiple Valued Log. Soft Comput..

Multiple Sequence Alignment Using Reconfigurable Computing

Heitor Silvério Lopes, Carlos R. Erig Lima, Maiko R. Moroz, 2007, ARC.

Wi-Fi Device Identification in Crowd Counting Using Machine Learning Methods

Heitor Silvério Lopes, Jean Pierre Jarrier Conti, Tiago B. Nion da Silveira, 2017 .

A Configware Approach for the Implementation of a LVQ Neural Network

Heitor Silvério Lopes, Maurcio Kugler, 2007 .

Object Detection for Computer Vision Using a Robust Genetic Algorithm

Lúcia Valéria Ramos de Arruda, Heitor Silvério Lopes, Tania Mezzadri Centeno, 2005, EvoWorkshops.

A Hierarchical Clustering Strategy to Improve the Biological Plausibility of an Ecology-Based Evolutionary Algorithm

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2012, IBERAMIA.

A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences

Heitor Silvério Lopes, Carlos R. Erig Lima, C. R. E. Lima, 2008, ICIC.

EPYNET: Efficient Pyramidal Network for Clothing Segmentation

Heitor Silvério Lopes, Andrei De Souza Inácio, 2020, IEEE Access.

Evolutionary Multi-Objective System Design : Theory and Applications

Nadia Nedjah, Luiza de Macedo Mourelle, Heitor Silvério Lopes, 2020 .

Genetic Programming with Incremental Learning for Grammatical Inference

Heitor Silvério Lopes, Ernesto Rodrigues, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Classification-Rule Discovery with an Ant Colony Algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2005, Encyclopedia of Information Science and Technology.

An Ant Colony system for large-scale phylogenetic tree reconstruction

Heitor Silvério Lopes, Mauricio Perretto, H. S. Lopes, 2007, J. Intell. Fuzzy Syst..

Induction of fuzzy classification rules with an artificial immune system

Alex A. Freitas, Heitor Silvério Lopes, Myriam Regattieri Delgado, 2004 .

Reconfigurable Hardware Computing for Accelerating Protein Folding Simulations Using the Harmony Search Algorithm and the 3D-HP-Side Chain Model

Heitor Silvério Lopes, César Manuel Vargas Benítez, Carlos R. Erig Lima, 2011, ICA3PP.

AN ANT COLONY OPTIMIZATION SYSTEM FOR THE CAPACITATED VEHICLE ROUTING PROBLEM

Heitor Silvério Lopes, Carlos R. Erig Lima, Vilson L. Dalle Molle, 2005 .

A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis

Matheus Gutoski, Heitor Silvério Lopes, César Manuel Vargas Benítez, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Construction and improvement heuristics applied to the capacitated vehicle routing problem

Heitor Silvério Lopes, Carlos R. Erig Lima, Leonardo G. Tavares, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Molecular Dynamics for Simulating the Protein Folding Process Using the 3D AB Off-Lattice Model

Heitor Silvério Lopes, César Manuel Vargas Benítez, 2012, BSB.

Discovering interesting prediction rules with a genetic algorithm

Alex A. Freitas, Heitor Silvério Lopes, Edgar Noda, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Evolutionary Algorithms for the Protein Folding Problem: A Review and Current Trends

Heitor Silvério Lopes, 2008, Computational Intelligence in Biomedicine and Bioinformatics.

Data Mining with Constrained-syntax Genetic Programming: Applications in Medical Data Sets

Alex A. Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 2001 .

Template Matching in Digital Images with Swarm Intelligence

Heitor Silvério Lopes, Hugo Alberto Perlin, Chidambaram Chidambaram, 2015 .

Reconfigurable Parallel Architecture for Genetic Algorithms: Application to the Synthesis of Digital Circuits

Edson Pedro Ferlin, Heitor Silvério Lopes, Carlos R. Erig Lima, 2007, ARC.

A gene expression programming approach for evolving multi-class image classifiers

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Discovering comprehensible classification rules with a genetic algorithm

Alex A. Freitas, Heitor Silvério Lopes, M. V. Fidelis, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

An integer programming model for protein structure prediction using the 3D-HP side chain model

Regina Berretta, Pablo Moscato, Heitor Silvério Lopes, 2016, Discret. Appl. Math..

An Artificial Immune System for Fuzzy-Rule Induction in Data Mining

Alex Alves Freitas, Heitor Silvério Lopes, Myriam Regattieri Delgado, 2004, PPSN.

A Configware Approach for High-Speed Parallel Analysis of genomic Data

Heitor Silvério Lopes, Carlos R. Erig Lima, Norton J. Murata, 2007, J. Circuits Syst. Comput..

Semantic Segmentation of Clothes in the Context of Soft Biometrics Using Deep Learning Methods

Heitor Silvério Lopes, Anderson Brilhador, Andrei de Souza Inacio, 2020 .

Evaluation of dynamic behavior forecasting parameters in the process of transition rule induction of unidimensional cellular automata

Heitor Silvério Lopes, Wagner Rodrigo Weinert, H. S. Lopes, 2010, Biosyst..

Genetic Algorithms and Heuristic Rules for Solving the Nesting Problem in the Package Industry

Heitor Silvério Lopes, Roberto Selow, Flávio Neves, 2008 .

Using a chain of LVQ neural networks for pattern recognition of EEG signals related to intermittent photic-stimulation

Mauricio Kugler, Heitor Silvério Lopes, H. S. Lopes, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

An Approach for Solving the Base Station Placement Problem using Particle Swarm Intelligence

Marcos Talau, Heitor Silvério Lopes, Emilio C. G. Wille, 2010 .

Ant Colony Algorithms for Data Classification

Alex A. Freitas, Rafael Stubs Parpinelli, Heitor Silvério Lopes, 2009 .

An Ontology-Based System for Knowledge Management and Learning in Neuropediatric Physiotherapy

Luciana Vieira Castilho-Weinert, Heitor Silvério Lopes, H. S. Lopes, 2010, Smart Information and Knowledge Management.

A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model

Heitor Silvério Lopes, Marcos P. Scapin, H. S. Lopes, 2008 .

Protein structure prediction with the 3D-HP side-chain model using a master–slave parallel genetic algorithm

Heitor Silvério Lopes, César Manuel Vargas Benítez, 2010, Journal of the Brazilian Computer Society.

New inspirations in swarm intelligence: a survey

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2011, Int. J. Bio Inspired Comput..

A study of deep convolutional auto-encoders for anomaly detection in videos

Heitor Silvério Lopes, Manassés Ribeiro, André Eugênio Lazzaretti, 2018, Pattern Recognit. Lett..

A computational ecosystem for optimization: review and perspectives for future research

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2015, Memetic Comput..

Detection of movement-related desynchronization of the EEG using neural networks

Heitor Silvério Lopes, H. S. Lopes, V. Pilla, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

A comparison of swarm intelligence algorithms for structural engineering optimization

Rafael Stubs Parpinelli, Heitor Silvério Lopes, Fábio Roberto Teodoro, 2012 .

AN EVOLUTIONARY APPROACH TO SIMULATE COGNITIVE FEEDBACK LEARNING IN MEDICAL DOMAIN

Heitor Silvério Lopes, M. S. Coutinho, Walter Celso de Lima, 1997 .

Parallelism, hybridism and coevolution in a multi‐level ABC‐GA approach for the protein structure prediction problem

Rafael S. Parpinelli, Heitor Silvério Lopes, César Manuel Vargas Benítez, 2012, Concurr. Comput. Pract. Exp..

An eco-inspired evolutionary algorithm applied to numerical optimization

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

A Parallel Algorithm for Large-Scale Multiple Sequence Alignment

Heitor Silvério Lopes, Guilherme Luiz Moritz, Carlos R. Erig Lima, 2012 .

Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems

Heitor Silvério Lopes, Myriam Regattieri Delgado, Marcos H. Maruo, 2005, EvoCOP.

Extracting knowledge from the p53 mutation database: the influence of tabagism in the somatic mutations profile of lung cancer subjects

Heitor Silvério Lopes, Adilson Dias, 2003, WOB.

An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2005, EvoWorkshops.

A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem

Heitor Silvério Lopes, César Manuel Vargas Benítez, Leandro Takeshi F. Hattori, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Preliminary Steps Towards Protein Folding Prediction Using Reconfigurable Computing

Heitor Silvério Lopes, Carlos R. Erig Lima, Nilton B. Armstrong, 2006, 2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006).

Modeling and Building an Ontology for Neuropediatric Physiotherapy Domain

Cesar Augusto Tacla, Luciana Vieira Castilho-Weinert, Heitor Silvério Lopes, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Image Segmentation Methods

Heitor Silvério Lopes, Manassés Ribeiro, 2015 .

A Comparative Study of Machine Learning and Evolutionary Computation Approaches for Protein Secondary Structure Classification

Heitor Silvério Lopes, César Manuel Vargas Benítez, Chidambaram Chidambaram, 2011 .

Detection of Video Anomalies Using Convolutional Autoencoders and One-Class Support Vector Machines

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2018 .

Genetic programming for epileptic pattern recognition in electroencephalographic signals

Heitor Silvério Lopes, H. S. Lopes, 2007, Appl. Soft Comput..

A new greedy heuristic for 3DHP protein struture prediction with side chain

Pablo Moscato, Heitor Silvério Lopes, Luiz Fernando Nunes, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Data mining with an ant colony optimization algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2002, IEEE Trans. Evol. Comput..

Clustering Methods for Detecting Communities in Networks

Heitor Silvério Lopes, Ademir Cristiano Gabardo, H. S. Lopes, 2015 .

Mobile computing on telemedicine and distance learning: application on surgery pediatric oncology

Heitor Silvério Lopes, Edson L. Michalkiewicz, Jaime de Britto, 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

Meta-heurísticas em pesquisa operacional

Maria Teresinha Arns Steiner, Heitor Silvério Lopes, Luiz Carlos de Abreu Rodrigues, 2013 .

Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 1999, GECCO.

A genetic approach to ARMA filter synthesis for EEG signal simulation

Heitor Silvério Lopes, Cesar Janeczko, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

Reconstruction of Phylogenetic Trees using the Ant Colony Optimization Paradigm

Heitor Silvério Lopes, Mauricio Perretto, H. S. Lopes, 2005, WOB.

Car Make and Model Classification with Deep Learning Methods

Heitor Silvério Lopes, Matheus Gutoski, Lucas Augusto Albini, 2020 .

A new approach for template matching in digital images using an Artificial Bee Colony Algorithm

Heitor Silvério Lopes, Chidambaram Chidambaram, H. S. Lopes, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

PathMolD-AB: Spatiotemporal pathways of protein folding using parallel molecular dynamics with a coarse-grained model

Heitor Silvério Lopes, Leandro Takeshi Hattori, César Manuel Vargas Benítez, 2020, Comput. Biol. Chem..

Particle Swarm Optimization for the Multidimensional Knapsack Problem

Heitor Silvério Lopes, Walter Godoy, Fernanda Hembecker, 2007, ICANNGA.

Evolutionary training of a neurofuzzy network for detection of P wave of the ECG

Heitor Silvério Lopes, V. Pilla, 1999, Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300).

An Enhanced Genetic Algorithm for Protein Structure Prediction Using the 2D Hydrophobic-Polar Model

Heitor Silvério Lopes, Marcos P. Scapin, H. S. Lopes, 2005, Artificial Evolution.

An Improved ABC Algorithm Approach Using SURF for Face Identification

Leyza Baldo Dorini, Heitor Silvério Lopes, Hugo Vieira Neto, 2012, IDEAL.

Evolutionary computation methods for the schedule optimisation of pipeline networks

Jonas Krause, Heitor Silvério Lopes, H. S. Lopes, 2016 .

A study of topology in insular Parallel Genetic Algorithms

Heitor Silvério Lopes, Carlos R. Erig Lima, Leonardo G. Tavares, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

A Graph-Based Genetic Algorithm for the Multiple Sequence Alignment Problem

Heitor Silvério Lopes, Guilherme L. Moritz, H. S. Lopes, 2006, ICAISC.

A Differential Evolution Approach for Protein Folding

Heitor Silvério Lopes, Reginaldo Bitello, H. S. Lopes, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Genetic Algorithms for the Assembly Line Balancing Problem: A Real-World Automotive Application

Lúcia Valéria Ramos de Arruda, Heitor Silvério Lopes, Solivan A. Valente, 2002 .

An Improved Artificial Bee Colony Algorithm for the Object Recognition Problem in Complex Digital Images Using Template Matching

Heitor Silvério Lopes, Chidambaram Chidambaram, H. S. Lopes, 2010, Int. J. Nat. Comput. Res..

Supply Chain Optimization Using Chaotic Differential Evolution Method

Leandro dos Santos Coelho, Heitor Silvério Lopes, L. Coelho, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming

Heitor Silvério Lopes, Wagner Rodrigo Weinert, H. S. Lopes, 2006, ADMA.

Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2012, IDEAL.

A Hybrid Evolutionary Approach for the Protein Classification Problem

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2009, ICCCI.

Supply chain optimisation using evolutionary algorithms

Leandro dos Santos Coelho, Heitor Silvério Lopes, Marco Aurelio Falcone, 2008, Int. J. Comput. Appl. Technol..

Qualitative analysis of deep learning frameworks

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2017 .

Parallel Artificial Bee Colony Algorithm Approaches for Protein Structure Prediction Using the 3DHP-SC Model

Heitor Silvério Lopes, César Manuel Vargas Benítez, H. S. Lopes, 2010, IDC.

Protein Structure Prediction using an enhanced Genetic Algorithm for the 2D HP model

Heitor Silvério Lopes, Marcos P. Scapin, 2004, WOB.

Gene Expression Programming for Evolving Two-Dimensional Cellular Automata in a Distributed Environment

Heitor Silvério Lopes, Wagner Rodrigo Weinert, César Manuel Vargas Benítez, 2014, IDC.

A New Mutation Operator for the Elitism-Based Compact Genetic Algorithm

Heitor Silvério Lopes, Carlos R. Erig Lima, Rafael R. Silva, 2007, ICANNGA.

Neural networks for protein classification

Heitor Silvério Lopes, Wagner Rodrigo Weinert, 2004, Applied bioinformatics.

Fault Classification in Power Distribution Systems using PMU Data and Machine Learning

Heitor Silvério Lopes, Miguel Moreto, André Eugenio Lazzaretti, 2019, 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP).

A clustering-based deep autoencoder for one-class image classification

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 2003, EuroGP.

Data mining with a parallel rule induction system based on gene expression programming

Heitor Silvério Lopes, Wagner Rodrigo Weinert, H. S. Lopes, 2011 .

Hardalign: a parallel pairwise alignment hardware application

Heitor Silvério Lopes, Carlos R. Erig Lima, Guilherme L. Moritz, 2006, 2006 IEEE International Conference on Field Programmable Technology.

Biological plausibility in optimisation: an ecosystemic view

Rafael S. Parpinelli, Heitor Silvério Lopes, R. S. Parpinelli, 2012, Int. J. Bio Inspired Comput..

Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

Matheus Gutoski, Heitor Silvério Lopes, Leandro Takeshi Hattori, 2018 .

Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling

Alex Alves Freitas, Heitor Silvério Lopes, Edgar Noda, 2000, GECCO.

Nature-inspired collective intelligence in theory and practice

Dariusz Król, Heitor Silvério Lopes, 2012, Inf. Sci..

A fast modular simulator for combinational logic circuits generated by genetic algorithm

Heitor Silvério Lopes, Walter Godoy, Daniel Mealha Cabrita, 2013, 2013 IEEE Congress on Evolutionary Computation.

Theory and New Applications of Swarm Intelligence

Rafael Stubs Parpinelli, Heitor Silvério Lopes, 2012 .

A Study on the Perception of Researchers about the Application of Agile Software Development Methods in Research

Heitor Silvério Lopes, Nelson Marcelo Romero Aquino, Adolfo Gustavo Serra Seca Neto, 2017, WBMA.

Particle Swarm Optimization for Object Recognition in Computer Vision

Heitor Silvério Lopes, Hugo Alberto Perlin, Tania Mezzadri Centeno, 2008, IEA/AIE.

Using Social Network Analysis to Unveil Cartels in Public Bids

Heitor Silvério Lopes, Ademir Cristiano Gabardo, 2014, 2014 European Network Intelligence Conference.

A FPGA-Based Reconfigurable Parallel Architecture for High-Performance Numerical Computation

Edson Pedro Ferlin, Heitor Silvério Lopes, Carlos R. Erig Lima, 2011, J. Circuits Syst. Comput..

A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model

Heitor Silvério Lopes, César Manuel Vargas Benítez, H. S. Lopes, 2009, 2009 IEEE Congress on Evolutionary Computation.

A Study of the Influence of Data Complexity and Similarity on Soft Biometrics Classification Performance in a Transfer Learning Scenario

Matheus Gutoski, Heitor Silvério Lopes, Manassés Ribeiro, 2021, Learning and Nonlinear Models.

Incremental human action recognition with dual memory

Matheus Gutoski, Heitor Silvério Lopes, André Eugenio Lazzaretti, 2021, Image Vis. Comput..

OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario

Matheus Gutoski, Heitor Silvério Lopes, André Eugênio Lazzaretti, 2021, IEEE Access.

The Effect of Data Augmentation on the Performance of Convolutional Neural Networks

Matheus Gutoski, Heitor Silvério Lopes, Leandro Takeshi Hattori, 2018 .

A comparison of histogram and template matching for face verification

Leyza Baldo Dorini, Heitor Silvério Lopes, Hugo Vieira Neto, 2012 .

Ab-Initio Protein Folding Using Molecular Dynamics and a Simplified Off-Lattice Model

Heitor Silvério Lopes, H. S. Lopes, CésarM. V. Benítez, 2013 .