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Last update: 31-jan-2025 16:27 |
Journal papers:
Rinaldi, J.T., Casanova, D., Tonial,
L.M., Teixeira, M., Lopes, H.S., Uma nova abordagem para avaliação de
carbono e nitrogênio do solo por análise de imagem: um caso de estudo com
latossolos e cambissolos. Revista
de Informática Teórica e Aplicada , v. ??, p. 11-19, 2025
Brilhador, A., L.M., Lazzaretti, A.E., Lopes, H.S.,
A survey on open world learning for image segmentation: definitions,
challenges, and directions.
Learning and Nonlinear Models, v.
23, n. 1, p. 33-48, 2025
Journal papers:
Brilhador, A., Lazzaretti, A.,
Lopes, H.S., A prototypical metric learning approach for open-set semantic
segmentation on remote sensing images.
IEEE
Transactions on Geoscience and Remote Sensing, v. 62, p. ?-?,
2024
Marques, L.M., Lazzaretti, A.E., Lopes, H.S., Blending Ensemble applied to Open-Set Recognition for Time Series Classification.
Learning and Nonlinear Models, v. 22, n.
1, p. 32-44, 2024
Kossoski, C., Simão, J.M., Lopes,
H.S., Modeling and Performance Analysis of a Notification-Based Method for
Processing Video Queries on the Fly.
Applied Sciences,
v. 14, p. 3566-3589, 2024.
Dureck, E.H., Benetti, D.,
Junior, W.C.P., Silva, T.H., Lopes, H.S., Dreyer, U.J., Sousa, K.M., Pipa, D.R., Silva, J.C.C., Contactor Fault Detection and Classification System Using Optical Fiber Bragg Grating Sensors.
IEEE Sensors Journal, v.
24, n. 4, p. 5316-5323, 2024
Aguiar, E.L., Nolasco, L.S.N., Lazzaretti, A.E., Pipa, D.R., Lopes, H.S., ST-NILM: A Wavelet Scattering-Based Architecture for Feature Extraction and Multi-Label Classification in NILM Signals. IEEE Sensors Journal, v. 24, n. 7, p. 10540-10550, 2024
Flores, W.O.C., Carvalho, V., Martins, V. H., Fabris, J.L., Muller, M., Lopes, H.S., Lazzaretti, A.E., Machine Learning-Based Methods for Force Mapping with an Optical Fiber Sensing System. IEEE Sensors Letters, v. 8, n. 7, p. 1-4, 2024
di Renzo, A.B., Morais, H.R.F., Lazzaretti, A.E., Arruda, L.V.R., Lopes, H.S., Martelli, C., Silva, J.C.C., Edge device for the classification of photovoltaic faults using deep neural networks. Journal of Control, Automation and Electrical Systems, v. ?, n. 35, p. 861-869, 2024
Brilhador, A., Silva, R.T., Modinez Jr., C.R., Spadafora, G.A., Lopes, H.S., Lazzaretti, A.E., Open-Set Tattoo Semantic Segmentation. IEEE
Access, v. 12, p.107181-107200, 2024
Conferences:
Mariani, W.C.,
Munaretto, A., Fonseca, M., Lopes, H.S., Silva, T.H., Detecção de Intrusão e
Análise Cyberfísica em Redes Industriais. In: Anais do Simpósio
Brasileiro de Segurança da Informação e de Sistemas Computacionais, São
José dos Campos (SP), SBC, 2024.
Cabral, I.A., Wehrmeister, M., Lazzaretti, A., Lopes, H.S., Recognizing human actions: a deep learning model for UAV control. Proceedings of the 16th Brazilian Symposium on Robotics, Goiânia (GO), SBC, 2024.
Rinaldi, J.T., Lopes, H.S., Silva, T.H., Pola, I.R.V., Tonial, L.M.S., Casanova, D., Automatic classification of soils by image analysis: a case study with Oxisol and Inceptisol, Anais do XIX Workshop em Visão Computacional, Rio Parnaíba (MG), 2024.
Nolasco, L.S.N., Lazzaretti, A.E., Lopes, H.S., "DeepDFML-NILM: A Deep Learning-Based Model for Detection, Feature Extraction and Classification in NILM Signals". in: Paes, A. e Verri, F.A.N. (Eds.), Prooceedings of the 34th Brazilian Conference on Intelligent Systems, Belém (PA), Lecture Notes in Computer Science (LNCS), Springer, vol. 15413, 2024.
Journal papers:
Gutoski, M., Lazzaretti, A.E., Lopes, H.S., Unsupervised Open World Human Action Recognition. Pattern Analysis and Applications, v. 26, n. 4, p. 1753–1770, 2023
Silveira, T.B.N., Lopes, H.S., Intelligence across humans and machines: a joint perspective. Frontiers in Psychology, v. 14, n., p. 1-12, 2023
Inácio, A.S., Lopes, H.S., Evaluation metrics for video captioning: a survey. Machine Learning with Applications, v. 13, n. 100488, 2023
Krause, J., Lopes, H.S., A phoneme-based deepfake detection system. International Journal of Advances in Science, Engineering and Technology, v. 11, n. 1, ISSN: 2321-9009, p. 93-98, 2023.
Conferences:
Dureck, E.H., Benetti, D.,
Lazzaretti, A.E., Lopes, H.S., Dreyerm U.J., Pipa, D.R., Silva, J.C.C.,Condition
Assessment of AC Contactors Using Optical Fiber Sensors and Deep Learning.
In: Proceedings of SMBO/IEEE MTT-S International Microwave and
Optoelectronics Conference (IMOC), Castelldefels, Spain. Piscataway, NJ,
USA: IEEE, p. 307-309, 2023.
Krause, J., Inácio, A.S., Lopes,
H.S., Language-focused deepfake detection using phonemes, mouth movements,
and video features.
In: Proceedings of
9th IEEE Latin American Conference on Computational
Intelligence, Recife, Brazil. Piscataway, NJ, USA: IEEE, p. 1-6, 2023.
Andrade, W.J., Lazzaretti, A.E.,
Kondo, R.E., Lopes, H.S., Oliveira, V.,
Analysis and Mitigation of the
Imbalance Impact on an Industrial Image Classification Dataset. In:
Proceedings of the XVI Brazilian Conference on
Computational Intelligence, Salvador (BA), p. 1-6, 2023
Lexinoski, G., Teixeira, M.A.S.,
Lazzaretti, A.E., Toledo, L., Travassos, G., Fonseca, M.J., Lopes, H.S.,
Recognition, location, and depth estimation of objects in electrical
substations". Proceedings of 15th Brazilian Symposium on Robotics (SBR) &
20th IEEE Latin American Robotics Symposium (LARS), Salvador (BA), p.,
2023
Journal papers:
Kossoski, C., Schaefer, G., Oliveira, G.F., Lopes, H.S., A scalable analytics pipeline for COVID-19 face mask surveillance.
Learning and Nonlinear Models,
v. 20, p. 62-73, 2022.
Conferences:
Silva, R.T., Lopes,
H.S., A Transfer Learning Approach for the Tattoo Classification Problem.
In: Proceedings of 8th IEEE Latin American Conference on Computational
Intelligence, Montevidéo, Uruguay. Piscataway, NJ, USA: IEEE, 2022. p. 1-6.
.
Hauer, A., Lazzaretti,
A.E., Campos, D.P., Krueger, E., Lopes, H.S., Mendes Junior, J.J.A.,
Classificação de imagética motora baseada em EEG entre indivíduos por meio
de redes neurais convolucionais. In: Proceedings of IX Latin American
Congress on Biomedical Engineering & XXVIII Brazilian Congress on Biomedical
Engineering, Rio de Janeiro (RJ), p. 1-6, 2022
Hauer, A., Lazzaretti,
A.E., Campos, D.P., Krueger, E., Lopes, H.S., Mendes Junior, J.J.A.,
Análise de diferenças entre sinais de EEG de indivíduos distintos. In:
Proceedings of IX Latin American Congress on Biomedical Engineering & XXVIII
Brazilian Congress on Biomedical Engineering, Rio de Janeiro (RJ), p.
1-6, 2022
Journal papers:
Inácio, A.S., Gutoski, M., Lazzaretti, A.E.,
Lopes, H.S., OSVidCap: a framework for the simultaneous
recognition and description of concurrent actions in videos in
an open-set scenario. IEEE
Access,
v. 9 p. 137029-137041, 2021
Gutoski, M., Lazzaretti,
A.E., Lopes, H.S., Deep metric learning for open-set human
action
recognition in videos. Neural Computing
and Applications, v. 33, pp. 1207-1220, 2021
Gutoski, M., Ribeiro,
M., Hattori, L.T., Romero, M., Lazzaretti, A.E., Lopes, H.S., A
Comparative Study of Transfer Learning Approaches for Video
Anomaly Detection.
International Journal of Pattern Recognition and Artificial
Intelligence, v. 35, n.5, p. 2152003, 2021 .
Gutoski, M., Lazzaretti, A.E., Lopes, H.S., Incremental human
action recognition with dual memory. Image
and Vision Computing, v. 116, n. 104313, 2021 .
Silva, R., Lopes, H.S., A benchmark for multi-objective routing in vehicle ad-hoc networks using the ant colony optimization algorithm.
Learning and Nonlinear Models,
v.19, n.2, p. 15-28, 2021
Conferences:
Tchalski, R., Lopes, H.S., A transfer learning approach for the tattoo
detection problem. Anais do XV Congresso Brasileiro de Inteligência Computacional (CBIC),
Joinville (SC), 2021.
Brilhador, A., Gutoski, M. Lazzaretti, A.E., Lopes, H.S., A comparative
study for open set semantic segmentation. Anais do XV Congresso Brasileiro de Inteligência Computacional (CBIC),
Joinville (SC), 2021.
Inácio, A.S.,
Teixeira, R.M., Lopes, H.S., Explainable anomaly detection in videos based
on the description of atomic actions. Anais do XV Congresso Brasileiro de Inteligência Computacional (CBIC),
Joinville (SC), 2021.
Inácio, A.S., Ramos, R.H., Lopes, H.S., Deep learning for people counting in
videos by age and gender. Anais do XV Congresso Brasileiro de Inteligência Computacional (CBIC),
Joinville (SC), 2021.
Book Chapters:
Borba, G.B., Fabro, J.A., Schneider, G.A., Lopes, H.S. Aplicação
de aprendizagem baseada em projetos por meio de disciplinas integradoras:
experiência do curso de Engenharia de Computação da UTFPR. In: Costa Junior,
A.G., D'Andrea, A.F., Dallabona, C.A., Duarte, E.R., Educação em Engenharia:
Aplicações no Ensino em Engenharia. João Pessoa (PB): Editora IFPB, vol. 10,
cap. 5, p. 182-220, 2021. ISBN: 978-65-87572-27-7,
Journal papers:
Inácio, A.S., Lopes,
H.S., EPYNET: Efficient pyramidal network for clothing
segmentation. IEEE
Access, vol. 8, pag. 187882-187892, 2020
Romero, M., Gutoski, M.,
Hattori, L.T., Ribeiro, M., Lopes, H.S., A study of the
influence of data complexity and similarity on soft biometrics
classification performance in a transfer learning scenario.
Learning and Nonlinear Models,
v. 18, n. 2, p. 56-65, 2020.
Romero, M., Gutoski, M.,
Hattori, L.T., Ribeiro, M., Lopes, H.S., Soft biometrics
classification in videos using transfer learning and
bidirectional long short-term memory networks. Learning and Nonlinear Models,
v.18, n.1, p. 47-59, 2020
Hattori, L.T., Gutoski,
M., Benítez, C.M.V., Nunes, L.F., Lopes, H.S., A benchmark of
optimally folded protein structures using integer programming
and the 3D-HP-SC model. Computational Biology and Chemistry, v.
84, article 107192-8, 2020
Ribeiro, M., Gutoski,
M., Lazzaretti, A.E., Lopes, H.S., One-class classification in
images and videos using a convolutional autoencoder with compact
embedding. IEEE
Access, vol. 8, pag. 86520-86535, 2020
Hattori, L.T., Pinheiro,
B.A., Frigori, R.B., Benítez, C.M.V., Lopes, H.S., PathMolD-AB:
Spatiotemporal pathways of protein folding using parallel
molecular dynamics with a coarse-grained model.
Computational Biology and Chemistry, v.
88, article 107301, 2020
Conferences:
Kasper, J.V.G., Bazzo, T.P.M.,
Lopes, H.S., Malagoli, J.A. Minimização da massa de um gerador síncrono
usando otimização por enxame de partículas. In: Anais do XXIII Encontro
Nacional de Modelagem Computacional & XI Encontro de Ciência e Tecnologia de
Materiais, Palmas (TO), 28-30/out, p. 1-11, 2020.
Conferences:
Inácio, A.S., Hattori, L.T., Gutoski,
M., Lazzaretti, A.E., Lopes, H.S. Análise da Fragmentação Partidária
na Assembleia Legislativa do Rio Grande do Sul com Métodos de Mineração de
Dados. In: Proc. of 8th Brazilian Workshop on Social Network Analysis and
Mining / CSBC, Belém, 2019.
Brilhador, A., Gutoski, M., Hattori,
L.T., Inácio, A.S., Lazzaretti, A.E., Lopes, H.S. Classification of Weeds
and Crops at the Pixel-Level Using Convolutional Neural Neural Networks and
Data Augmentation. In: Proc. of 6th IEEE Latin American Conference on
Computational Intelligence LA-CCI, Guayaquil (Equador), 2019.
Berno, B.C.S., Gabardo, A.C.,
Hattori, L.T., Gutoski, M., Inácio, A.S., Lopes, H.S., A Framework for
Analyzing Book Covers and Co-purchases using Object Detection and Data
Mining Methods. In: Proc. of 6th IEEE Latin American Conference on
Computational Intelligence LA-CCI, Guayaquil (Equador), 2019.
Grando, F.L., Lazzaretti, A.E.,
Moreto, M., Lopes, H.S., Fault Classification in Power Distribution Systems
using PMU Data and Machine Learning. In: Proc. of 20th International
Conference on Intelligent System Applications to Power Systems. New
Delhi (India), 2019.
Berno, B.C.S., Albini, L.A., Tasso,
V.C., Benítez, C.M.V., Lopes, H.S., A Gene Expression Programming Approach
for Vehicle Body Segmentation and Color Recognition. In: Anais do XIV
Congresso Brasileiro de Inteligência Computacional, Belém (PA), 2019.
Dalmedico, N., Oliveira, A.S.,
Lopes, H.S., Definição do Trajeto de um Robô Inspetor de Vasos de Pressão
Esféricos Utilizando Otimização por Colônia de Formigas. In: Anais do XIV
Congresso Brasileiro de Inteligência Computacional, Belém (PA), 2019.
Jorge, O.C., Lopes, H.S., Métodos de
Aprendizado de Máquina Aplicados ao Reconhecimento Autoral e Temporal de
Bandas de Rock and Roll. In: Anais do XIV Congresso Brasileiro de
Inteligência Computacional, Belém (PA), 2019.
Berno, B.C.S., Schneider, L., Albini,
L.A., Lopes, H.S., Brazilian Birds of Prey - A New Dataset and
Classification with Deep Neural Networks. In: Anais do XIV Congresso
Brasileiro de Inteligência Computacional, Belém (PA), 2019.
Albini, L.A., Gutoski, M., Lopes,
H.S., Car Make and Model Classification with Deep Learning Methods. In: Anais do XIV Congresso Brasileiro de Inteligência Computacional, Belém
(PA), 2019.
Inácio, A.S., Brilhador, A., Lopes,
H.S., Semantic segmentation of clothes in the context of soft biometrics
using deep learning methods. In: Anais do XIV Congresso Brasileiro de
Inteligência Computacional, Belém (PA), 2019.
Ribeiro, M., Learning
Spatio-Temporal Features for Detecting Anomalies in Videos using
Convolutional Autoencoder. In: Anais do XIV Congresso Brasileiro de
Inteligência Computacional, Belém (PA), 2019.
Conti, J.P.J., Romero, M.,
Lazzaretti, A.E., Lopes, H.S., Algorithmic Trading Using Genetic Algorithms
in the Brazilian Stock Exchange. In: Anais do XIV Congresso Brasileiro de
Inteligência Computacional, Belém (PA), 2019.
Journal papers:
Ribeiro, M., Lazzaretti, A.E.,
Lopes, H.S., A study of deep convolutional auto-encoders for anomaly
detection in videos. Pattern Recognition Letters, v. 68, n. 2, p. 250-259, 2018.
Lecture Notes in Computer Science:
Gutoski, M., Ribeiro, M., Aquino,
N.M.R., Hattori, L.T., Lazzaretti, A.E., Lopes, H.S. Feature Selection Using
Differential Evolution for Unsupervised Image Clustering In: Proc. of the
International Conference on Artificial Intelligence and Soft Computing,
2018. In: Rutkowski L., Scherer R., Korytkowski M., Pedrycz W.,
Tadeusiewicz R., Zurada J. (eds) Artificial Intelligence and
Soft Computing. ICAISC 2018. Lecture Notes in Computer
Science, vol 10841. Springer, Cham, p. 376-385, 2018.
Conferences:
Hattori, L.T., Benítez, C.M.V.,
Gutoski, M., Aquino, N.M.R., Lopes, H.S. A Novel Approach to Protein
Folding Prediction based on Long Short-Term Memory Networks: A Preliminary
Investigation and Analysis. In: Proc. of IEEE World Congress on
Computational Intelligence, Rio de Janeiro, 2018.
Silveira, T.B.N., Lopes, H. S.,
Lazzaretti, A.E., Araújo, D.P., Valério, C.F., Classificação de contexto
para processamento da linguagem natural baseado em representação vetorial de
palavras e no agrupamento por k-means. In: Proc. Computer on the Beach,
Florianópolis, SC: UNIVALI, p. 502-510, 2018.
Journal papers:
Gutoski, M., Hattori, L.T., Aquino,
N.M.R., Senefonte, H.C.M., Ribeiro, M., Lazzaretti, A.E., Lopes, H.S.,
Qualitative Analysis of Deep Learning Frameworks.
Learning and Nonlinear Models,
v. 15, n.1, p. 45-52, 2017.
Conti, J.P.R., Silveira, T.B.N., Lopes, H.S.,
Wi-Fi Device Identification in Crowding Counting Using Machine Learning
Methods. Learning and Nonlinear
Models, v. 15, n.1, p. 53-63, 2017.
Edited Books:
Nedjah, N., Mourelle, L.M., Lopes,
H.S. (Eds.), Designing with Computational Intelligence. 1st ed. Berlin: Springer,
238p, 2017. ISBN: 978331944734-6
Nedjah, N., Mourelle, L.M., Lopes, H.S. (Eds.), Evolutionary Multi-Objective System Design: Theory and Applications. 1st. ed. Boca Raton, FL: Chapman and Hall/CRC, 233p, 2017. ISBN: 978149878028-5
Conferences:
Gutoski, M., Ribeiro, M., Aquino,
N.M.R., Lazzaretti, A.E., Lopes, H.S., A Clustering-Based Deep Autoencoder
for One-Class Image Classification. In:
Proc. 4th IEEE Latin
American Conference on Computational Intelligence LA-CCI, Arequipa,
Peru, Piscataway, NJ: IEEE Press, 2017.
Hattori, L.T., Benítez, C.M.V.,
Lopes, H.S., A Deep Bidirectional Long Short-Term Memory Approach Applied to
the Protein Secondary Structure Prediction Problem. In:
Proc. 4th IEEE Latin
American Conference on Computational Intelligence LA-CCI, Arequipa,
Peru, Piscataway, NJ: IEEE Press, 2017.
Aquino, N.M.R., Ribeiro, M., Gutoski,
M., Benítez, C.V., Lopes, H.S., A Gene Expression Programming Approach for
Evolving Multi-Class Image Classifiers. In:
Proc. 4th IEEE Latin
American Conference on Computational Intelligence LA-CCI, 2017, Arequipa,
Peru, Piscataway, NJ: IEEE Press, 2017.
Gutoski, M., Aquino, N.M.R.,
Ribeiro, M. Lazzaretti, A.E., Lopes, H.S., Detection of Video Anomalies
Using Convolutional Autoencoders and One-Class Support Vector Machines. In:
Proc. XIII Brazilian Congress on
Computational Intelligence, Niterói, RJ, 2017.
Hattori, L.T., Gutoski, M., Aquino,
N.M.R., Lopes, H.S., Patch-Based Convolutional Neural Network for the Writer
Classification Problem in Music Score Images. In:
Proc. XIII Brazilian Congress on
Computational Intelligence, Niterói, RJ, 2017.
Aquino, N.M.R., Gutoski, M., Hattori,
L.T., Lopes, H.S., Soft Biometrics Classification Using Denoising
Convolutional Autoencoders and Support Vector Machines. In:
Proc. XIII Brazilian Congress on
Computational Intelligence, Niterói, RJ, 2017.
Aquino, N.M.R., Gutoski, M., Hattori,
L.T., Lopes, H.S., The effect of data augmentation on the performance of
convolutional neural networks. In: Proc. XIII
Brazilian Congress on Computational Intelligence, Niterói, RJ, 2017.
Aquino, N.M.R., Seca Neto, A.G.S.,
Lopes, H.S., A Study on the Perception of Researchers about the Application
of Agile Software Development Methods in Research.
Proceedings of Agile Brazil'2017, Belém, PA, 2017
Nunes, L.F., Galvão, L.C.,
Lopes, H.S., Moscato, P., Berretta, R. Algorithms for 3DHP Protein Structure
Prediction. Anais do XLIX Simpósio Brasileiro de Pesquisa Operacional (Blumenau, SC), SBPO, p. 1-11, 2017
Journal papers:
Hattori, L.T., Lopes, H.S., Lopes,
F.M., Evolutionary computation and swarm intelligence for the inference of
gene regulatory networks. International
Journal of Innovative Computing and Applications, v. 7, p.
225-235, 2016.
Negri, L.H., Lopes, H.S., Muller,
M., Fabris, J.L., Paterno, A.S., A high performance approach for parallel
computing of Bragg fibre grating strain profiles using graphics processing
units. International Journal of High Performance Systems Architecture,
v. 6, n.4, p. 197-204, 2016.
Krause, J., Lopes, H.S.,
Evolutionary computation methods for the schedule optimisation of pipeline
networks. International Journal of Innovative Computing and Applications, v. 7, p. 191-191-201, 2016.
Conferences:
Journal papers:
Parpinelli, R.S, Lopes, H.S. A
computational ecosystem for optimization: review and perspectives for future
research. Memetic Computing, v. 7, p. 29-41, 2015.
Perlin, H.A., Lopes, H.S.,
Extracting human attributes using a convolutional neural network approach.
Pattern Recognition Letters, v. 68, n. 2, p. 250-259, 2015.
Nunes, L.F., Galvão, L.C., Lopes,
H.S., Moscato, P., Berretta, R., An integer programming model for protein
structure prediction using the 3D-HP side chain model.
Discrete Applied Mathematics, v. 198, p. 2-6-214, 2015
Edited Books:
Bastos Filho, C.J.A., Pozo, A.T.R.,
Lopes, H.S. (Org.)
Anais do 12. Congresso
Brasileiro de Inteligência Computacional. Curitiba, PR:
ABRICOM, 2015. ISBN:
978-85-69972-00-6 (CD-ROM)
Vellasco, M.M.B.R., Túpac, Y., Lopes, H.S., (Org.). Proceedings of 2015 Latin American Congress on Computational Intelligence (LA-CCI). Piscataway, NJ: IEEE, 2015. ISBN: 978-1-4673-8418-6
Book Chapters:
Benítez, C.M.V., Weinert, W.R.,
Lopes, H.S. Gene Expression Programming for Evolving Two-Dimensional
Cellular Automata in a Distributed Environment. In: D. Camacho; L. Braubach;
S. Venticinque; C. Badica. (Ed.). Studies in Computational Intelligence.
1ed. Heidelberg: Springer International Publishing, 2015, v. 570, p. 107-117.
Conferences:
Krause, J., Sieczka, E.L., Lopes,
H.S., Differential evolution variants and MILP for the pipeline network
schedule optimization problem. In: Proceedings of 2015 Latin America
Congress on Computational Intelligence (LA-CCI). Piscataway, NJ:
IEEE Press, p. 1-6, 2015.
Sikora, C.G.S., Lopes, T.C., Lopes,
H.S., Magatão, L., Genetic algorithm for type-2 assembly line balancing. In:
Proceedings of IEEE Latin America Congress on Computational Intelligence
(LA-CCI). Piscataway, NJ: IEEE Press, p. 1-6, 2015.
Negri, L.H., Lopes, H.S., Muller,
M., Fabris, J.L., Paterno, A.S., An efficient method to determine strain
profiles on FBGs by using differential evolution and GPU. In: Proceedings
of IEEE Latin America Congress on Computational Intelligence (LA-CCI).
Piscataway, NJ: IEEE Press, p. 1-6, 2015.
Ribeiro, M., Lopes, H.S.,
Multi-class classification of objects in images using principal component
analysis and genetic programming. In: Proceedings of IEEE Latin America
Congress on Computational Intelligence (LA-CCI). Piscataway, NJ:
IEEE Press, p. 1-6, 2015.
Hattori, L.T., Lopes, H.S., Lopes,
F.M., A discretized differential evolution algorithm for the inference of
Gene Regulatory Networks. In: Proceedings of IEEE Latin America
Congress on Computational Intelligence (LA-CCI). Piscataway, NJ:
IEEE Press, p. 1-6, 2015.
Silva, R.R. da, Lima, C.R., Lopes,
H.S., Um Novo Algoritmo Compacto Genético em
Hardware: emCGA-HW. In: Anais do12. Congresso Brasileiro de Inteligência
Computacional, 2015, Curitiba. p. 1-5, 2015.
Journal papers:
Scalabrin, M.H., Parpinelli, R.S.,
Benítez, C.V., Lopes, H.S., Population-based harmony search using GPU
applied to protein structure prediction.
International Journal of Computational Science and Engineering,
v. 9, p. 106-118,
2014. ISSN online: 1742-7193
Parpinelli, R.S.,
Benítez, C.V.; Cordeiro, J.A.; Lopes, H.S., Performance analysis of
swarm intelligence algorithms for the 3D-AB off-lattice protein folding
problem. International Journal of Multiple-Valued Logic and Soft Coputing,
v. 22, p. 267-286, 2014. ISSN
online: 1542-3999
Chidambaram, C., Vieira Neto, H.,
Dorini, L.E.B., Lopes, H.S., Multiple Face Recognition Using Local Features
and Swarm Intelligence. IEICE
Transactions on Information and Systems, v. E97.D, p. 1614-1623,
2014.
Castilho, L.V., Lopes, H.S.,
Weinert, W.R., Andres, L.F. Desenvolvimento motor típico no primeiro ano:
caracterização e detalhamento.
Fisioterapia Ser, v. 9,
p. 193-197, 2014.
Book Chapters:
Barros, A.M., Lopes, H.S. Evolvable
Hardware. In: Mehdi Khosrow-Pour. (Ed.). Encyclopedia of Information Science
and Technology. 3ed. Hershey, PA: IGI Global, 2014, v. , p. 205-215.
Gabardo, A.C., Lopes, H.S.
Clustering Methods for Detecting Communities in Networks. In: Mehdi
Khosrow-Pour. (Ed.). Encyclopedia of Information Science and Technology,
Third Edition. 3ed. Hershey, PA: IGI Global, 2014, v. , p. 3507-3516.
Ribeiro, M., Lopes, H.S. Image
Segmentation Methods. In: Mehdi Khosrow-Pour. (Ed.). Encyclopedia of
Information Science and Technology. 3ed. Hershey, PA: IGI Global, 2014, v. ,
p. 1-11.
Perlin, H.A., Chidambaram, C.,
Lopes, H.S. . Template Matching in Digital Images with Swarm Intelligence.
In: Mehdi Khosrow-Pour. (Ed.). Encyclopedia of Information Science and
Technology. 3ed. Hershey, PA: IGI Global, 2014, v. , p. 645-653.
Conferences:
Journal papers:
Benítez,
C.M.V.; Lopes, H.S., Ab-Initio
Protein Folding Using Molecular Dynamics and a Simplified Off-Lattice Model.
Journal of Bionanoscience, v. 7, p. 391-402, 2013.
Edited Books:
Lopes, H.S.,
Rodrigues, L.C.A.,
Steiner, M.T.A. (Eds.),
Meta-Heurísticas em Pesquisa Operacional. Curitiba: Omnipax,
2013. 482p .
Book Chapters:
Krause, J., Cordeiro, J.A., Parpinelli, R.S., Lopes, H.S.,
A Survey of swarm algorithms applied to discrete optimization
problems. In: Xin-She Yang; Zhihua Cui; Renbin Xiao; Amir
Hossein Gandomi; Mehmet Karamanoglu (Eds).
Swarm Intelligence and Bio-Inspired Computation: Theory and
Applications. Amsterdam: Elsevier Science, 2013, p.
169-192. ISBN: 9780124051638.
Krause, J., Cordeiro, J.A., Lopes, H.S., Comparação de métodos
de computação evolucionária para o problema da mochila
multidimensional. In: H.S. Lopes, L.C.A. Rodrigues, M.T.A.
Steiner. (Eds),
Meta-Heurísticas em Pesquisa Operacional.
Curitiba: Omnipax, 2013, p. 87-98.
Conferences:
Parpinelli, R.S., Lopes, H.S., An
Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice
Protein Structure Prediction Problem. Proc. of Brazilian Conference on
Intelligent Systems - BRACIS, IEEE Press, p. 64-69, 2013.
Talau, M.,
Wille, E.C.G., Lopes, H.S., Solving the base placement problem by means of
swarm intelligence. In: Proc. IEEE Symposium on Computational Intelligence
for Communication Systems and Networks (CIComms),
Symposium Series on Computational
Intelligence, Singapore, p. 39-44 , 2013.
Kalegari, D.H., Lopes, H.S., An
improved parallel differential evolution approach for protein
structure prediction using both 2D and 3D off-lattice models. In: Proc.
IEEE Symposium on Differential Evolution (SDE),
Symposium Series on Computational Intelligence, Singapore, p.
143-150,
2013.
Cabrita, D.M.,
Godoy Jr., W., Lopes, H.S., A fast modular simulator for combinational logic
circuits generated by genetic algorithm. In: Proc. Conference on
Evolutionary Computation, IEEE Press, Cancún, México, p. 2797 - 2801, 2013.
Krause, J.; Lopes, H.S., A
comparison of differential evolution algorithm with binary and continuous
encoding for the MKP. In: Proceedings of BRICS - Conference on Computational
Intelligence, 2013, Recife, 2013.
Silva, R.; Lopes, H.S.; Godoy Jr.,
W., A heuristic algorithm based on ant colony optimization for
multi-objective routing in vehicle ad hoc networks. In: Proceedings of BRICS
- Conference on Computational Intelligence, 2013, Recife, 2013.
Benítez, C.M.V.; Parpinelli, R.S.;
Lopes, H.S., A heterogeneous parallel ecologically-inspired approach applied
to the 3D-AB off-lattice protein structure prediction problem. In: Proceedings of BRICS
- Conference on Computational Intelligence, 2013, Recife, 2013.
Prosdóssimo, F.C. ; Chidambaram, C.
; Lopes, H.S., Eye detection approaches based on AdaBoost and SVM
algorithms. In: Workshop em Visão Computacional, 2013, Rio de Janeiro. Anais
do IX Workshop em Visão Computacional, 2013. p. 1-5.
Chidambaram, C. ; Lopes, H. S. ;
Vieira Neto, H., Global, semi-global and local color angular features for
unsupervised face recognition. In: Workshop em Visão Computacional, 2013,
Rio de Janeiro. Anais do IX Workshop em Visão Computacional, 2013. p. 1-6.
Journal papers:
Parpinelli,
R.S., Teodoro, F.R., Lopes, H.S., A comparison of swarm
intelligence algorithms for structural engineering optimization.
International Journal for Numerical Methods in Engineering, v.
91, p. 666-684, 2012. ISSN: 1097-0207
Lopes, H.S.,
Król, D., Nature-inspired collective intelligence in theory and practice.
Information Sciences, v. 182, p. IFC, 2012
Benítez, C.V., Parpinelli, R.S.,
Lopes, H.S., Parallelism, hybridism and coevolution in a multi-level ABC-GA
approach for the protein structure prediction problem.
Concurrency and Computation, v. 24, n. 6, p. 635-646, 2012.
Parpinelli, R.S.,Lopes, H.S.,
Biological plausibility in optimisation: an ecosystemic view.
International
Journal of Bio-Inspired Computation, v. 4, p. 345-358, 2012.
ISSN online: 1758-0374
Edited Books:
Parpinelli, R. S.,
Lopes, H.S. (Eds.),
Theory and New Applications of Swarm Intelligence.
Rijeka, Croatia: Intech, 2012. 194p . ISBN 978-9-535-10364-6
Book Chapters:
Perlin, H.A., Lopes,
H.S., A genetic programming approach for image segmentation. In:
A. Chatterjee; P. Siarry. (Eds.),
Computational Intelligence in Image Processing.
1ed.Heidelberg: Springer-Verlag, 2012, p. 69-87. ISBN
978-3-642-30621-1
Chidambaram, C., Lopes,
H.S., An improved artificial bee colony algorithm for the object
recognition problem in complex digital images using template
matching. In: L.N. Castro (Ed.),
Nature-Inspired Computing Design, Development, and Applications.
1ed.
Hershey, PA:
IGI Global, p. 141-157, 2012. ISBN 978-1-466-61574-8
Lecture Notes in Computer Science:
Parpinelli, R.S., Lopes,
H.S., A Hierarchical Clustering Strategy to Improve the
Biological Plausibility of an Ecology-Based Evolutionary
Algorithm. In: Pavón, J.; Duque-Méndez, N.D.;
Fuentes-Fernández, R. (Eds.), Lecture Notes in Artificial
Intelligence.
Heidelberg: Springer, 2012, v. 7637, p. 310-319.
Parpinelli, R.S., Lopes,
H.S., An Ecology-Based Heterogeneous Approach for Cooperative
Search. In: Barros, L.N.; Finger, M.; Pozo, A.T.;
Giménez-Lugo, G.A.; Castilho, M. (Eds.), Lecture
Notes in Computer Science. Heidelberg: Springer, 2012, v.
7589, p. 212-221.
Benítez, C.M.V., Lopes,
H.S., Molecular Dynamics for Simulating the Protein Folding
Process Using the 3D AB Off-Lattice Model. In: Souto, M.C.; Kann,
M.G. (Eds.). Lecture Notes in Bioinformatics.
1ed.Heidelberg: Springer Berlin Heidelberg, 2012, v. 7409, p.
61-72.
Chidambaram, C., Marçal,
M.S., Dorini, L.B., Vieira Neto, H, Lopes, H.S., An Improved ABC
Algorithm Approach Using SURF for Face Identification.
In: Yin,
H.; Costa, J.A.F.; Barreto, G. (Eds.), Proc.13th International Conference on Intelligent Data
Engineering and Automated Learning, Lecture Notes in
Computer Science.
Heidelberg: Springer,
v. 7435, p. 143-150, 2012.
Parpinelli, R.S., Lopes,
H.S.,
Population resizing using nonlinear dynamics in an ecology-based
approach. In:
Yin, H.; Costa,
J.A.F.; Barreto, G. (Eds.), Proc.13th International Conference on Intelligent Data
Engineering and Automated Learning, Lecture Notes in
Computer Science.
Heidelberg: Springer,
v. 7435, p. 27-34, 2012.
Conferences:
Galvão,
L.C., Nunes, L.F., Lopes, H.S., Moscato, P., A new greedy heuristic for 3DHP
protein struture prediction with side chain. In: IEEE International
Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2012,
Philadelphia, p. 77-10, 2012.
Chidambaram,
C., Marçal, M.S., Dorini, L.E.B., Vieira Neto, H., Lopes, H.S., A comparison
of histogram and template matching for face verification. In: VIII Workshop
de Visão Computacional, 2012, Goiânia, GO, p. 1-6,
2012.
Banaszewski, R.F.; Lopes, H.S.;
Tacla, C.A.; Simão, J.M., A comparative study of evolutionary computation
techniques for the generalized assignment problem. In:
Brazilian Conference on Intelligent Systems - Encontro Nacional de
Inteligência Artificial - ENIA,
2012, Curitiba, PR., p. 1-8,
2012.
Cordeiro,
J., Parpinelli, R.S., Lopes, H.S., Análise de sensibilidade dos parâmetros
do bat algorithm e comparação de desempenho. In: Brazilian Conference
on Intelligent Systems - Encontro Nacional de Inteligência Artificial - ENIA,
2012, Curitiba, PR., p. 1-9, 2012.
Krause,
J., Parpinelli, R.S., Lopes, H.S., Proposta de um algoritmo inspirado em
evolução diferencial aplicado ao problema multidimensional da mochila. In:
Brazilian Conference on Intelligent Systems - Encontro Nacional de
Inteligência Artificial - ENIA,
2012, Curitiba, PR., p. 1-11,
2012.
Castilho-Weinert,
L.V., Lopes, H.S., Weinert, W.R., Sistema especialista baseado em ontologias
aplicado à fisioterapia neuropediátrica. In: Brazilian Conference on
Intelligent Systems - Encontro Nacional de Inteligência Artificial - ENIA,
2012, Curitiba, PR., p. 1-12,
2012.
Weinert,
W.R., Lopes, H.S., Um modelo computacional paralelo baseado em programaçao
de expressão genética aplicado ao problema de indução de regras de autômatos
celulares. In: Brazilian Conference on Intelligent Systems - Encontro
Nacional de Inteligência Artificial -
ENIA, 2012, Curitiba, PR., p. 1-12,
2012.
Santos, R.O., Lopes, H.S. . Regressão simbólica sobre séries temporais de
dados meteorológicos utilizando programação genética. In: Brazilian
Conference on Intelligent Systems - Encontro Nacional de Inteligência Artificial - ENIA,
2012, Curitiba, PR., p. 1-8,
2012.
Perlin,
H.A., Lopes, H.S., Metodologia híbrida para detecção de pessoas em vídeos.
In: VIII Workshop de Visão Computacional, 2012, Goiânia,
GO, p. 1-6, 2012.
Prosdossimo, F.C., Chidambaram, C., Lopes, H.S., Proposta de uma metodologia
para a construção de um banco de imagens faciais normalizadas. In: VIII
Workshop de Visão Computacional, 2012, Goiânia,
GO, p. 1-6, 2012.
Oliveira,
D.R., Lopes, H.S., Codificação por pólos e zeros para o projeto de filtros
digitais de resposta infinita ao impulso utilizando otimização por enxame de
partículas. In: Anais do XIX Congresso Brasileiro de Automática, 2012,
Campina Grande, PB., 2012.
Journal papers:
Ferlin, E.P., Lopes, H.S., Lima,
C.RE., Perretto, M., PRADA: a high-performance reconfigurable parallel
architecture based on the dataflow model.
International Journal of High-Perfomance Systems Architecture,
v. 3, p. 41-55, 2011.
Parpinelli, R.S., Lopes, H.S., New
inspirations in swarm intelligence: a survey.
International
Journal of Bio-Inspired Computation, v. 3, p. 1-16, 2011. ISSN
online: 1758-0374
Ferlin, E.P., Lopes, H.S., Lima,
C.R.E., Perretto, M., A FPGA-based reconfigurable parallel architecture for
high-performance numerical computation.
Journal of
Circuits, Systems, and Computers, v. 20, p. 849-865, 2011. ISSN
online: 1793-6454
Weinert, W.R., Lopes, H.S., Data
mining with a parallel rule induction system based on gene expression
programming. International
Journal of Innovative Computing and Applications, v. 3, n. 3, p.
136-143, 2011. ISSN online: 1751-6498
Tsunoda, D.F., Freitas, A.A., Lopes,
H.S., A genetic programming method for protein motif discovery and protein
classification.
Soft Computing, v. 15, p. 1897-1908, 2011. ISSN online:
1433-7479
Amaral, C.E.F. ; Lopes, H.S.,
Arruda, L.V., Hara, M.S. ; Gonçalves, A.J. , Dias, A.A., Design of a complex
bioimpedance spectrometer using DFT and undersampling for neural networks
diagnostics.
Medical Engineering & Physics, v. 33, n. 3, p. 356-361, 2011.
ISSN: 1350-4533
Wille, E.C.G., Yabcznski, E., Lopes,
H.S., Discrete capacity assignment in IP networks using particle swarm
optimization.
Applied Mathematics and Computation, v. 17, p. 5338-5346, 2011.
ISSN: 0096-3003
Edited Books:
Lopes, H.S.,
Cruz, L.M. (Eds.),
Computational Biology and Applied Bioinformatics.
Rijeka, Croatia: Intech, 2011.
Lopes, H.S., Takahashi, R.H.C. (Eds.),
Computação
Evolucionária em Problemas de Engenharia. Curitiba:
Omnipax Editora, 2011. 385p .
Book Chapters:
Parpinelli, R.S., Benítez, C.M.V., Lopes, H.S., Parallel approaches for the artificial bee colony algorithm. In: Yuhui Shi; Meng-Hiot Lim; Bijaya Ketan Panigrahi. (Eds.). Handbook of Swarm Intelligence: principles and applications. Heidelberg: Springer-Verlag, 2011, v. 8, p. 329-345.
Oliveira, D.R.,
Parpinelli, R.S., Lopes, H.S., Bioluminescent Swarm Optimization
Algorithm. In: Eisuke Kita. (Eds.).
Evolutionary Algorithms. Rijeka, Croatia: Intech, 2011,
p. 69-84. ISBN 978-953-307-171-8
Chidambaram, C.,
Benítez, C.M.V., Hembecker, F., Lopes, H.S., A comparative study
of machine learning and evolutionary computation approaches for
protein secondary structure classification. In: H.S. Lopes; L.M.
Cruz. (Eds.).
Computational Biology and Applied Bioinformatics.
Rijeka: Intech, 2011, p. 239-258.
Oliveira,
D.R., Salabrin, M.H., Teodoro, F.R., Parpinelli, R.S., Lopes,
H.S., Comparação de técnicas de computação evolucionária
para o projeto de filtros digitais de resposta finita ao
impulso. In: H.S. Lopes, R.H.C. Takahashi. (Eds.).
Computação
Evolucionária em Problemas de Engenharia. Curitiba:
Omnipax Editora, 2011, p. 107-128.
Lecture Notes in Computer Science:
Benítez, C.V.,
Scalabrin, M.H., Lopes, H. S., Erig Lima, C.R., Reconfigurable
hardware computing for accelerating protein folding simulations
using the harmony search algorithm and the 3D-HP-side chain
model. Lecture Notes in Computer Science, v. 7017, p.
363-374, 2011.
Conferences:
Parpinelli, R.S.; Lopes, H.S., An eco-inspired evolutionary algorithm applied to numerical
optimization. In: Proc. Third World Congress on Nature and Biologically
Inspired Computing (NaBIC), Salamanca (Spain), 2011, p. 466-471.
Benítez, C.M.V.;
Scalabrin, M.H.; Lopes, H.S.; Lima, C.R.E., Reconfigurable Hardware
Computing for Accelerating Protein folding simulations using the Harmony
Search algorithm and the 3DHP-Side Chain model. In: Proc. 1st IEEE International
Workshop on Parallel Architectures for Bioinformatics Systems, 2011,
Melbourne, Austrália, Piscataway, EUA: IEEE
Press, 2011.
Isfer, L.A.; Arruda, L.V.R.; Lopes, H. S. . Identificação De
Parâmetros por Enxame de Partículas através do compromisso entre Variância e
Polarização. In: Anais do X Simpósio Brasileiro de Automação Inteligente, São
João del Rei, MG, 2011.
Parpinelli, R.S.; Lopes, H.S.,
Um algoritmo evolutivo eco-inspirado aplicado a otimização numérica. In: Anais do X Congresso Brasileiro
de Inteligência Computacional, Fortaleza, CE, 2011. p.
1-8.
Ambrósio, F.V.; Lopes, H.S.; Erig
Lima, C.R., A
genetic algorithm for parameter adjustment of an artificial reverberation
model. In: Anais do X Congresso Brasileiro de Inteligência Computacional,
Fortaleza, CE, 2011. p. 1-8.
Oliveira, A.A.; Erig Lima; Lopes, H.S., Projeto
de controladores PID em sistemas multivariáveis usando computação
evolucionária. In: Anais do X Congresso Brasileiro de Inteligência Computacional,
Fortaleza, CE, 2011. p. 1-8.
Prosdossimo, F.C.; Chidambaram, C.; Lopes, H.S., Otimização
da detecção de olhos em imagens faciais utilizando os algoritmos colônia de
abelhas artificiais e harmony search. In: Anais do X Congresso Brasileiro
de Inteligência Computacional, Fortaleza, CE, 2011. p.
1-8.
Guerra, E.S.; Lopes, H.S.; Godoy Jr., W., Determinação da
função de transferência de um motor ciclo Otto utilizando programação
genética. In: Anais do X Congresso Brasileiro de Inteligência Computacional,
Fortaleza, CE. , 2011. p. 1-7.
Journal papers:
Lopes, H.S., Erig
Lima, C.R., Moritz, G.L., A parallel algorithm for large-scale multiple
sequence alignment. Computing and
Informatics, v. 29, p. 1233-1250, 2010. ISSN: 1335-9150
Silva, R.R., Erig
Lima, C.R.E., Lopes, H.S., Template matching in digital images using a
compact genetic algorithm with elitism and mutation.
Journal of Circuits,
Systems and Computers, v. 19, n.
1, p. 91-106, 2010.
Kalegari, D.H.,
Lopes, H.S. A differential evolution approach for protein structure
optimization in a 2-D off-lattice protein model,
International Journal of Bio-inspired Computation, v. 2, n.
3/4, p. 242-250, 2010.
ISSN: 1758-0366
Weinert, W.R.,
Lopes, H.S. Evaluation of dynamic behavior forecasting parameters in the
process of transition rule induction of unidimensional cellular automata.
Biosystems, v.
99, n, 1, p. 6-16, 2010. ISSN: 0303-2647
Benítez, C.M., Lopes, H.S. Protein
structure prediction with the 3D-HP side-chain model using a master-slave
parallel genetic algorithm.
Journal of the Brazilian Computer Society, v. 16, n. 1, p. 69-78,
2010. ISSN: 1678-4804
Chidambaram, C., Lopes, H.S., An
improved artificial bee colony algorithm for the object recognition problem
in complex digital images using template matching.
International Journal of Natural Computing Research, v. 1, n. ?,
p. 54-70, 2010 ISSN:1947-9298
Castilho-Weinert, L.V., Lopes, H.S.
Sistema de apoio ao diagnóstico em fisioterapia neuropediátrica.
Fisioterapia Ser, v. 1, n. 5, p. 35-42, 2010
Book Chapters:
Castilho, L.V., Lopes, H.S. An Ontology-based System for
Knowledge Management and Learning in Neuropediatric
Physiotherapy. In: Szczerbicki, E., Nguyen, N.T. (Eds.),
Smart Information and Knowledge Management,
Studies in Computational Intelligence Series, vol. 260, Springer-Verlag,
p. ?-?, 2010.
ISBN: 978-3-642-04583-7
Benítez, C.M.V, Lopes, H.S.,
Parallel artificial bee colony algorithm approaches for protein
structure prediction using the 3DHP-SC model. In: Essaaidi
M., Malgeri M., Badica C. (eds) Intelligent Distributed
Computing IV. Studies in Computational Intelligence, vol
315. Springer, Berlin, Heidelberg
Conferences:
Hembecker,
F., Lopes, H.S., A molecular model
for representing protein structures and its application to protein folding. Proceedings of
4th International Conference on
Bioinformatics and Biomedical Engineering,
Chengdu, China, 18-20/june,
p. 1-6, 2010.
Benítez, C.M.V, Lopes, H.S., Protein
folding with 3DHP Side-chain model using a hierarchical parallel genetic
algorithm. Proc. of IEEE Systems, Man and Cybernetics Conference, Istambul,
Turkey, p. 2669 - 2676, 2010.
Talau, M., Wille, E.C.G., Lopes, H.S. An
approach for solving the base station placement problem using particle swarm
intelligence. Proc. International Telecommunications Symposium, Manaus, 2010.
Teodoro, F.R.; Parpinelli, R.S., Lopes, H. S., Otimização por
colônia de bactérias aplicada a problemas de engenharia. In: Proc. XXXI Iberian-Latin-American Computational Methods in Engineering, 2010, Buenos
Aires. CILAMCE´2010. Buenos Aires, 2010.
Scalabrin, M.H.; Parpinelli, R.S., Lopes, H. S.,
Paralelização do algoritmo harmony search utilizando GPU. In:
Proc. XXXI Iberian-Latin-American Computational Methods in Engineering, 2010, Buenos
Aires. Proceedings of CILAMCE´2010. Buenos Aires, 2010.
Journal papers:
Castilho-Weinert, L.V., Lopes,
H.S., Computers in physical
therapy education: interactive multimedia learning with MuStreT.
Informatics in Education, v. 8, n. 2, p. 157-172, 2009.
ISSN: 2335-8971
Lecture Notes in Computer Science:
Tsunoda,
D.F., Lopes, H.S., Freitas, A.A. A hybrid evolutionary approach
for the protein classification problem. In: N.T Nguyen,
R. Kowalczyk, S-M. Chen (Eds.) Computational Collective
Intelligence, Proc. ICCCI/ NICI´2009,
Lecture
Notes in Artificial Intelligence,
v. 5796, p 629-640, 2009.
Book Chapters:
Freitas, A.A., Parpinelli,
R.S., Lopes, H.S., Ant
Colony Algorithms for Data Classification. In:
Khosrow-Pour, M (Ed.),
Encyclopedia of Information Science and Technology,
2nd Edition.
Hershey: IGI Publishing
,
p. 420-424, 2007. ISBN: 1605660264
Conferences:
Benitez,
C.M., Lopes, H.S., A parallel genetic algorithm for protein folding
prediction using the 3DHP side-chain model. Proceedings of
IEEE
Congress on Evolutionary Computation (CEC), Trondheim, Norway, 18-21/may,
p. 1297-1304, 2009,
ISBN: 978-1-4244-2959-2
Selow, R. Lopes,
H.S., Lima, C.R.E. A comparison of FPGA and FPAA technologies for a signal
processing application. Proc. 19th
International
Conference on Field Programmable Logic and Applications (FPL), Praha,
Czech Republic, 31/ago-02/set, p. 230-235, 2009
Tsunoda, D.F.,
Freitas, A.A., Lopes, H.S., MAHATMA: A Genetic Programming-Based Tool for
Protein Classification. Proc.
9th International Conference on Intelligent Systems Design and Applications
Conference (ISDA), Pisa, Italy, 30/nov-02/dez, p. 1136-1142, 2009
Chidambaram, C., Lopes, H.S., A new approach for template matching
in digital images using an artificial bee colony algorithm. In: Proc.
World Congress on Nature and
Biologically Inspired Computing, Coimbatore (NABIC), India, 09-11/12, p.
146-151, 2009.
Tavares, L.G., Lopes, H.S., Erig Lima,
C.R., Construction and improvement
heuristics applied to the capacitated vehicle routing problem. In: Proc.
World Congress on Nature and
Biologically Inspired Computing, Coimbatore (NABIC), India, 09-11/12, p.
690-695, 2009.
Tavares, L.G., Lopes, H.S., Erig Lima,
C.R., A study of topology in insular
parallel genetic algorithms. In: Proc.
World Congress on Nature and
Biologically Inspired Computing, Coimbatore (NABIC), India, 09-11/12, p.
632-635, 2009.
Tavares, L.G., Lopes, H.S., Erig Lima,
C.R., Evaluation of weight matrix
models in the splice junction recognition problem. In: Proc.
IEEE
International Conference on Bioinformatics & Biomedicine (BIBM),
Washington, USA, 01-04/11, p. 14-19, 2009.
Benítez, C.V., Lopes, H.S., Algoritmo genético
aplicado à predição da estrutura de proteínas utilizando o modelo 3D-HP Side
Chain. Anais do VII Encontro Nacional de Inteligência Artificial (ENIA), Bento
Gonçalves, RS, p. 717-726, 2009
Journal papers:
Falcone, M.A., Lopes, H.S., Coelho,
L.S. Supply chain optimization using evolutionary algorithms.
International Journal of Computer Applications in Technology,
v. 31, n. 3/4, p. 158-167, 2008. ISSN:
1741-5047
Lecture Notes in Computer Science:
Perlin, H.A. ; Lopes, H. S. ; Mezzadri, T.C. Particle swarm
optimization for object recognition in computer vision. In:
Nguyen N.T., Borzemski L., Grzech A., Ali M. (eds) New Frontiers
in Applied Artificial Intelligence (Proc. IEA/AIE).
Lecture Notes in Computer Science, v. 5027, p. 11-21,
2008
Tavares,
L.G., Lopes, H.S., Erig Lima, C.R. A Comparative study of
machine learning methods for detecting promoters in bacterial
DNA sequences. In: Huang DS., Wunsch D.C.,
Levine D.S., Jo KH. (eds) Advanced Intelligent Computing
Theories and Applications (Proc. ICIC). Lecture Notes in Artificial Intelligence,
v. 5227, p. 959-966, 2008.
Silva,
R.R., Lopes, H.S., Erig Lima, C.R., A compact genetic algorithm
with elitism and mutation applied to image recognition. In:
Huang DS., Wunsch D.C., Levine D.S., Jo KH. (eds) Advanced
Intelligent Computing Theories and Applications (Proc. ICIC). Lecture Notes in Artificial Intelligence, v. 5227, p.
1109-1116, 2008.
Book Chapters:
Rodrigues, E.M.L., Lopes,
H.S. Evolutionary Grammatical Inference. In:. Rabuñal, J.R.,
Dorado, J., Pazos, A. (Eds.) Encyclopedia of Artificial
Intelligence. Herschey, USA: Information Science
Reference, p. 596-602, 2008. ISBN: 978-1-59904-849-9.
Freitas, A.A., Parpinelli, R.S., Lopes, H.S., Ant Colony Algorithms for Data Classification. In: Khosrow-Pour, M (Ed.), Encyclopedia of Information Science and Technology, 2nd Edition. Hershey: IGI Publishing , p. 420-424, 2005. ISBN: 978-1-60566-026-4.
Lopes, H.S. Evolutionary
algorithms for the protein folding problem: a review and current
trends. In: Smolinski, T.G., Milanova, M.M., Hassanien, A-E. (Eds.),
Applications of Computational Intelligence in Bioinformatics
and Biomedicine: Current Trends and Open Problems.
Heidelberg: Springer-Verlag,v. I, p. 297-315, 2008.
Selow, R., Neves
Junior, F., Lopes, H.S. Genetic algorithms and heuristic rules
for solving the nesting problem in the package industry. In:
Oscar Castillo, Li Xu, Sio-Long. Ao (Eds.), Trends in
Intelligent Systems and Computer Engineering. Heidelberg:
Springer-Verlag, p. 189-208, 2008. ISBN: 978-0-387-74934-1
Conferences:
Castilho, L.V., Lopes, H.S.,
Tacla, C.A. Modelling and contruction of an ontology for
Neuropediatric Physiotherapy domain. In: Proceedings of 8th
International Conference on Hybrid Intelligent Systems,
Barcelona (Spain), 10-12/september, IEEE Press, p. 210-215, 2008.
Castilho, L.V.,
Lopes, H.S., Weinert, W.R. TFM: um sistema multimídia de apoio ao aprendizado
de testes de força muscular em Fisioterapia. In: Anais do XXVIII
Congresso da SBC - Workshop em Informática Médica, Belém (PA),
12-18/julho, p. 101-110, 2008.
Yabcznski, E., Wille, E.C.G.,
Lopes, H.S. Algoritmos para solução do problema de
atribuição de capacidades discretas em redes TCP/IP. In: Anais
do XXVI Simpósio Brasileiro de Telecomunicações, Rio de Janeiro
(RJ), 05-05/setembro, p. ??-??, 2008.
Fabro, J., Lopes, H.S., Arruda, L.V.R. Autonomous robot navigation on a
fuzzy mapped environment through neural networks, with evolutionary path
planning. Proceedings of RoboControl Workshop, Bauru, SP, [s.p.], 2008.
Lima, C.R.E., Lopes, H.S., Silva, R.R. Embedded FPGA architecture for an
educational mobile robot platform. Proceedings of RoboControl Workshop,
Bauru, SP, [s.p.], 2008.
Journal papers:
Perretto, M., Lopes, H.S.
An ant colony system for large-scale
phylogenetic tree reconstruction.
Journal of
Intelligent and Fuzzy Systems, v. 18, n. 6, p.575-583, 2007.
ISBN: 1064-1246
Kugler, M., Lopes, H.S.
A Configware
Approach for the Implementation of a LVQ Neural Network.
International Journal of
Computational Intelligence Research, v.
3, n. 1, p. 21-25, 2006 ISSN: 1568-4946
Lopes, H.S., Lima,
C.R.E., Murata, N.J. A
configware approach for high-speed parallel analysis of genomic data.
Journal of Circuits,
Systems, and Computers, v. 16, n. 4, p. 1-15, 2007.
Lopes,
H.S. Genetic programming for
epileptic pattern recognition in electroencephalographic signals.
Applied
Soft Computing, v. 7, p. 343-352, 2007 ISSN: 1568-4946
Lopes, H. S. ;
Bitello, R. . A differential evolution approach for protein folding using a
lattice model. Journal of Computer
Science and Technology (Beijing), v. 22, n. 6, p. 904-908, 2007.
ISSN: 1000-9000
Bobel, E., Lopes,
H.S. Inteligência computacional
aplicada à logística de equipes de manutenção de redes de distribuição de
energia elétrica. Espaço Energia, v. 7, p. 22-33,
2007. ISSN: 1807-8575.
Lecture Notes in Computer Science:
Hembecker, F., Lopes,
H.S., Godoy Jr., W., Particle Swarm Optimization for the Multidimensional
Knapsack Problem. Lecture Notes in Computer Science, v. 4331, p.
358-365, 2007.
Silva, R.S., Lopes,
H.S., Lima, C.R.E., A New Mutation Operator for the Elitism-based Compact
Genetic Algorithm. Lecture Notes in Computer Science, v. 4331, p.
159-166, 2007.
Lima, C.R.E., Lopes,
H.S., Moroz, M.R., Meneses, R.M., Multiple sequence alignment using
reconfigurable computing. Lecture Notes in Computer Science, v. 4419, p.
379-384, 2007.
Armstrong Jr., N.B.,
Lopes, H.S., Lima, C.R.E., Reconfigurable computing for accelerating protein
folding simulations. Lecture Notes in Computer Science, v. 4419, p. 314-325,
2007.
Weinert, W.R.,
Benitez, C., Lopes, H.S., Lima, C.R.E., Simulation of the dynamic behavior
of one-dimensional cellular automata using reconfigurable computing.
Lecture Notes in Computer Science v. 4419, p. 385-390, 2007.
Ferlin, E.P. ; Lopes,
H. S. ; Lima, C.R.E. ; Chichaczewski, E. . Reconfigurable parallel
architecture for genetic algorithms: application to the synthesis of digital
circuits. Lecture Notes in Computer Science, v. 4419, p. 326-336,
2007.
Book Chapters:
Scapin, M.P., Lopes, H.S. A hybrid genetic algorithm for the protein folding problem using the 2D-HP lattice model. In: Ang Yang, Yin Shan, Lam Thu Bui. (Eds.). Success in Evolutionary Computation. Heidelberg: Springer-Verlag, 2007, v. , p. 205-224. ISBN:
Conferences:
Selow, R., Neves, F.,
Lopes, H.S., Genetic algorithms for the nesting problem in the packing
industry. In: Proceedings of International Multiconference of Engineers and
Computer Scientists. Hong Kong, 21-23/03, p. ?-?, 2007.
Barros, A.M., Lopes, H.S., Stelle,
A.L.,Automatic
FIR Filter Design Method and Tool based on Genetic Algorithms. In:
Proceedings of 1st IEEE Symposium on Computational Intelligence in Image
and Signal Processing. Honolulu, USA, 01-05/04, p. 151-156, 2007.
Rodrigues, E.L.M, Lopes, H. S., Genetic
Programming for Induction of Context-free Grammars. In: ISDA,
2007, Rio de Janeiro. Proceedings of 7th International
Conference on Intelligent Systems Design and Applications.
Piscataway, NJ : IEEE Computer Society Press, 2007.
Lima,
C.R.E.,Rocha, L.B., Lopes, H.S., Um ambiente para apoio ao
aprendizado de automação e controle e sua aplicabilidade no
desenvolvimento de competências e habilidades. In: XXXV
Congresso Brasileiro de Educação em Engenharia, 2007, Curitiba.
Anais do XXXV COBENGE, p. IB9-1-1B9-15 2007.
Weinert,
W.R., Lopes H. S., Análise de estratégias para melhoria do
desempenho do algoritmo de programação por expressão genética na
tarefa de regressão simbólica. In: Anais do I Simpósio Brasileiro de
Inteligência Computacional, 2007, Florianópolis, [CD-ROM], 2007
Lopes,
H. S., Dalle Molle, V.L., Lima, C.R.E. Aplicação da otimização
por colônia de formigas ao problema de roteamento de múltiplos
veículos de capacidade limitada. In: Anais do I Simpósio Brasileiro de
Inteligência Computacional, 2007, Florianópolis, [CD-ROM], 2007
Tavares, L., Lima, C.R.E., Lopes, H.S., Estudo comparativo de
métodos de aprendizagem de máquina na detecção de regiões
promotoras de genes de Escherichia coli. In: Anais do I Simpósio Brasileiro de
Inteligência Computacional, 2007, Florianópolis, [CD-ROM], 2007
Rodrigues,
E.L.M., Lopes, H.S. Inferência de gramáticas livres de contexto
usando programação genética. In: Anais do I Simpósio Brasileiro de
Inteligência Computacional, 2007, Florianópolis, [CD-ROM], 2007.
Hembecker,
F., Oliveira, D.R., Lopes, H.S. Otimização por enxame de
partículas com extinção em massa: uma abordagem aplicada ao
problema multidimensional da mochila. In: Anais do I Simpósio Brasileiro de
Inteligência Computacional, 2007, Florianópolis, [CD-ROM], 2007
Journal papers:
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