Conference Proceedings - International

1. Guilherme Augusto Lopes Silva, Pedro H. L. Silva, Gladston Juliano Prates Moreira, Eduardo J S Luz: Bridging the Gap in Ecg Classification: Integrating Self-Supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints. International Symposium on Applied Reconfigurable Computing, pp. 63-74, 2024

2. Dênis Ricardo Xavier de Oliveira, Anderson Ribeiro Duarte, Eduardo J S Luz, Gladston Juliano Prates Moreira: Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters. IEEE Latin American Conference on Computational Intelligence (LACCI), , 2024

3. Pablo Coleho, Guilherme Augusto Lopes Silva, Dênis Ricardo Xavier de Oliveira, Gladston Juliano Prates Moreira, Eduardo J S Luz, Pedro H. L. Silva: Periocular Efficientnet: a Deep Model for Periocular Recognition. IEEE Latin American Conference on Computational Intelligence (LACCI), , 2024

4. Adriano Andrade, Guilherme Augusto Lopes Silva, Pedro H. L. Silva, Dênis Ricardo Xavier de Oliveira, Gladston Juliano Prates Moreira, Eduardo J S Luz: Exploring Remote Cardiac Signals for Biometric Verification: a Study using Eulerian Video Magnification. IEEE Latin American Conference on Computational Intelligence (LACCI), , 2024

Conference Proceedings - National/Regional

1. Guilherme Silva, Arthur Negrão, Gladston Juliano Prates Moreira, Eduardo Luz, Pedro Silva: An Embedding Multitask Neural Network for Efficient Arrhythmia Detection. Simpósio Brasileiro de Computação Aplicada à Saúde, pp. 412-423, 2024.
   [DOI: 10.5753/sbcas.2024.2378]

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Journal Papers

1. Gabriel Lima de Souza, Anderson Ribeiro Duarte, Gladston Juliano Prates Moreira, Frederico Rodrigues Borges da Cruz: Post-Processing Improvements in Multi-Objective Optimization of General Single-Server Finite Queueing Networks. IEEE Latin America Transactions 21(3):381-388, 2023.
   [DOI: 10.1109/TLA.2023.10068841]

Conference Proceedings - International

1. Fernando Henrique Oliveira Duarte, Gladston Juliano Prates Moreira, Eduardo J S Luz, Leonardo B.L. Santos, Vander Luis de Souza Freitas: Time Series Forecasting of Covid-19 Cases in Brazil with Gnn and Mobility Networks. Brazilian Conference on Intelligent Systems, pp. 361-375, 2023

2. Lauro Ângelo Gonçalves de Moraes, Eduardo J S Luz, Gladston Juliano Prates Moreira: Physicochemical Properties for Promoter Classification. Brazilian Conference on Intelligent Systems, pp. 368-382, 2023

3. Pedro Castro, Gabriel Cássia Fortuna, Pedro H. L. Silva, Andrea G. C. Bianchi, Gladston Juliano Prates Moreira, Eduardo J S Luz: Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: a Comparative Study using the Ufop-Hvd Dataset. Brazilian Conference on Intelligent Systems, pp. 307-322, 2023

Conference Proceedings - National/Regional

1. João Gabriel Fernandes Zenóbio, Pedro H. L. Silva, Eduardo J S Luz, Gladston Juliano Prates Moreira, Conrado Aleksander Barbosa Galdino, Jadson Castro Gertrudes: Reptilerecon: Um arcabouço Para extração e análise De Sinais De Lagartos. SIMPÓSIO BRASILEIRO DE BANCOS DE DADOS (SBBD 2023), pp. 154-166, 2023.
   [DOI: 10.5753/sbbd.2023.231703]

2. Fernando Henrique Oliveira Duarte, Gladston Juliano Prates Moreira, Eduardo J S Luz, Leonardo B. L. Santos, Vander Luis de Souza Freitas: Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities. Brazilian Symposium on Geoinformatics (GEOINFO), pp. 340-345, 2023

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Journal Papers

1. Eduardo Luz, Pedro Silva, Rodrigo Silva, Ludmila Silva, João Guimarães, Gustavo Miozzo, Gladston Juliano Prates Moreira, David Menotti: Towards an Effective and Efficient Deep Learning Model for Covid-19 Patterns Detection in x-Ray Images. RESEARCH ON BIOMEDICAL ENGINEERING 38(1):149-162, 2022.
   [DOI: 10.1007/s42600-021-00151-6]

2. Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Juliano Prates Moreira: Capsprom: a Capsule Network for Promoter Prediction. COMPUTERS IN BIOLOGY AND MEDICINE 147(1), 2022.
   [DOI: 10.1016/j.compbiomed.2022.105627]

3. Emerson Cotta Bodevan, Luiz Henrique Duczmal, Anderson Ribeiro Duarte, Pedro H. L. Silva, Gladston Juliano Prates Moreira: Multi-Objective Approach for Multiple Clusters Detection in Data Points Events. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 51(3):1313-1332, 2022.
   [DOI: 10.1080/03610918.2019.1667392]

4. Pedro Castro, Gladston Juliano Prates Moreira, Eduardo Luz: An End-to-End Deep Learning System for Hop Classification. IEEE Latin America Transactions 20(3):430-442, 2022.
   [DOI: 10.1109/tla.2022.9667141]

Conference Proceedings - International

1. Pedro H. Silva, Gladston Juliano Prates Moreira, Vander Freitas, Rodrigo Silva, David Menotti, Eduardo Luz: a Decidability-Based Loss Function. 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2022.
   [DOI: 10.1109/ijcnn55064.2022.9891934]

2. Guilherme Silva, Pedro Silva, Mariana Mota, Eduardo Luz, Gladston Juliano Prates Moreira: An Efficient Contact Lens Spoofing Classification. 24th International Conference on Enterprise Information Systems, , 2022.
   [DOI: 10.5220/0010868500003179]

Conference Proceedings - National/Regional

1. Andressa O Souza, Mariana Mota, Helen C. S. C. Lima, Wellington Souza, Marcos Nicolau, Gladston Juliano Prates Moreira, Eduardo Jose da Silva Luz: Fraudulent Account Detection using Hierarchical Classification. Encontro Nacional de Inteligência Artificial e Computacional, pp. 306-317, 2022.
   [DOI: 10.5753/eniac.2022.227330]

2. Marcus Almeida, Mariana Mota, Wellington Souza, Marcos Nicolau, Eduardo Luz, Gladston Juliano Prates Moreira: a Temporal Approach to Customer Churn Prediction: a Case Study for Financial Services. Encontro Nacional de Inteligência Artificial e Computacional, pp. 83-94, 2022.
   [DOI: 10.5753/eniac.2022.227571]

3. Rafael Francisco de Oliveira, Anderson Almeida Ferreira, Gladston Juliano Prates Moreira, Eduardo Jose da Silva Luz: Um método Ensemble Para classificação De Arritmias: Uma avaliação Em Mais De 10 Mil Registros De Sinais De Ecg. XXII Simpósio Brasileiro de Computação Aplicada à Saúde, , 2022.
   [DOI: 10.5753/sbcas.2022.222429]

4. Guilherme Augusto Lopes Silva, Pedro H. L. Silva, Vander L.S. Freitas, Gladston Juliano Prates Moreira, Eduardo J S Luz: Cardiac Arrhythmia Detection in Ecg Signals using Graph Convolutional Network. XXII Simpósio Brasileiro de Computação Aplicada à Saúde, , 2022.
   [DOI: 10.5753/sbcas.2022.222434]

5. Rafael Francisco de Oliveira, Vander Luis de Souza Freitas, Gladston Juliano Prates Moreira, Eduardo J S Luz: Explorando Redes Neurais De Grafos Para classificação De Arritmias. XXII Simpósio Brasileiro de Computação Aplicada à Saúde, , 2022.
   [DOI: 10.5753/sbcas.2022.222510]

6. Carlos G. Freitas, Pedro H. L. Silva, Gladston Juliano Prates Moreira, Eduardo J S Luz: Rede Neural Convolucional e Lstm Para Biometria Baseada Em Eeg No Modo De identificação. XXII Simpósio Brasileiro de Computação Aplicada à Saúde, , 2022.
   [DOI: 10.5753/sbcas.2022.222647]

7. Pedro H. L. Silva, Eduardo J S Luz, Larissa Silva, Caio Gonçalves, Dênis Ricardo Xavier de Oliveira, Rodrigo Cesar Pedrosa Silva, Gladston Juliano Prates Moreira: Deep Learning-Based Covid-19 Screening using Photographs of Chest x-Rays Displayed in Computer Monitors. Brazilian Conference on Intelligent Systems, pp. 510-522, 2022

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Journal Papers

1. Pedro Castro, Eduardo Luz, Gladston Juliano Prates Moreira: Dataset for Hop Varieties Classification. DATA IN BRIEF 38(1), 2021.
   [DOI: 10.1016/j.dib.2021.107312]

2. Ricardo Couto, Luiz Henrique Duczmal, Denise Burgarelli, Felipe Álvares, Gladston Juliano Prates Moreira: Nonparametric Dependence Modeling via Cluster Analysis: a Financial Contagion Application. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 50(2):537-556, 2021.
   [DOI: 10.1080/03610918.2018.1563152]

3. Dênis Ricardo Xavier de Oliveira, Gladston Juliano Prates Moreira, Anderson Ribeiro Duarte, André Cançado, Eduardo Luz: Spatial Cluster Analysis using Particle Swarm Optimization and Dispersion Function. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 50(8):2368-2385, 2021.
   [DOI: 10.1080/03610918.2019.1602731]

4. Guilherme Augusto Lopes Silva, Pedro H. L. Silva, Valéria de Carvalho Santos, Alan Kardek, Eduardo J S Luz, Gladston Juliano Prates Moreira: a Vns Algorithm for Pid Controller: Hardware-in-the-Loop Approach. IEEE Latin America Transactions 19(9):1502-1510, 2021.
   [DOI: 10.1109/TLA.2021.9468443]

5. Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M. Carneiro, Eduardo J. S. Luz, Gladston Juliano Prates Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza: a Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification. JOURNAL OF IMAGING 7(7), 2021.
   [DOI: 10.3390/jimaging7070111]

6. Mariana Regina Ferreira Mota, Pedro H. L. Silva, Eduardo J S Luz, Gladston Juliano Prates Moreira, Thiago Schons, Lauro Ângelo Gonçalves de Moraes, David Menotti: a Deep Descriptor for Cross-Tasking Eeg-Based Recognition. PEERJ COMPUTER SCIENCE 7(1), 2021.
   [DOI: 10.7717/peerj-cs.549]

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Journal Papers

1. Pedro Silva, Eduardo Luz, Guilherme Silva, Gladston Juliano Prates Moreira, Rodrigo Silva, Diego Lucio, David Menotti: Covid-19 Detection in Ct Images with Deep Learning: a Voting-Based Scheme and Cross-Datasets Analysis. Informatics in Medicine Unlocked 20(1), 2020.
   [DOI: 10.1016/j.imu.2020.100427]

2. Pedro Silva, Eduardo Luz, Guilherme Silva, Gladston Juliano Prates Moreira, Elizabeth Wanner, Flavio Vidal, David Menotti: Towards Better Heartbeat Segmentation with Deep Learning Classification. Scientific Reports 10(1), 2020.
   [DOI: 10.1038/s41598-020-77745-0]

3. Vander L.S. Freitas, Gladston Juliano Prates Moreira, Leonardo B.L. Santos: Robustness Analysis in an Inter-Cities Mobility Network: Modeling Municipal, State and Federal Initiatives as Failures and Attacks Toward Sars-Cov-2 Containment. PeerJ 8(1), 2020.
   [DOI: 10.7717/peerj.10287]

Conference Proceedings - International

1. Gabriel L Souza, Anderson R Duarte, Gladston Juliano Prates Moreira, Frederico R B Cruz: a Novel Formulation for Multi-Objective Optimization of General Finite Single-Server Queueing Networks. 2020 IEEE Congress on Evolutionary Computation (CEC), , 2020.
   [DOI: 10.1109/CEC48606.2020.9185827]

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Journal Papers

1. Pedro Lopes Silva, Eduardo Luz, Gladston Juliano Prates Moreira, Lauro Moraes, David Menotti: Chimericaldataset Creation Protocol Based on Doddington Zoo: a Biometric Application with Face, Eye, and Ecg. SENSORS 19(13), 2019.
   [DOI: 10.3390/s19132968]

Conference Proceedings - International

1. Diego Rafael Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Juliano Prates Moreira, David Menotti: Simultaneous Iris and Periocular Region Detection using Coarse Annotations. 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 178-7, 2019.
   [DOI: 10.1109/sibgrapi.2019.00032]

Conference Proceedings - National/Regional

1. Gladston Juliano Prates Moreira, Luis Paquete: Guiding under Uniformity Measure in the Decision Space. 2019 IEEE Latin American Conference on Computational Intelligence (LACCI), , 2019.
   [DOI: 10.1109/LA-CCI47412.2019.9037034]

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Journal Papers

1. Felipe de Oliveira Mota, Elizabeth Fialho Wanner, Eduardo J S Luz, Gladston Juliano Prates Moreira: Vnd-Based Local Search Operator for Equality Constraint Problems in Pso Algorithm. ELECTRONIC NOTES IN DISCRETE MATHEMATICS 66(1):111-118, 2018.
   [DOI: 10.1016/j.endm.2018.03.015]

2. Eduardo Luz, Gladston Juliano Prates Moreira, Luiz Antonio Zanlorensi Junior, David Menotti: Deep Periocular Representation Aiming Video Surveillance. PATTERN RECOGNITION LETTERS 114(1):2-12, 2018.
   [DOI: 10.1016/j.patrec.2017.12.009]

3. Eduardo Jose da Silva Luz, Gladston Juliano Prates Moreira, Luiz S. Oliveira, William Robson Schwartz, David Menotti: Learning Deep Off-the-Person Heart Biometrics Representations. IEEE Transactions on Information Forensics and Security 13(5):1258-1270, 2018.
   [DOI: 10.1109/tifs.2017.2784362]

4. Fernando Luiz Pereira de Oliveira, André L. F. Cançado, Gustavo de Souza, Gladston Juliano Prates Moreira, Martin Kulldorff: Border Analysis for Spatial Clusters. International Journal of Health Geographics 17(1), 2018.
   [DOI: 10.1186/s12942-018-0124-1]

Conference Proceedings - International

1. Pedro H. Silva, Eduardo Luz, Luiz A. Zanlorensi, David Menotti, Gladston Juliano Prates Moreira: Multimodal Feature Level Fusion Based on Particle Swarm Optimization with Deep Transfer Learning. 2018 IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, 2018.
   [DOI: 10.1109/cec.2018.8477817]

2. Felipe Mota, Vinicius Almeida, Elizabeth Fialho Wanner, Gladston Juliano Prates Moreira: Hybrid Pso Algorithm with Iterated Local Search Operator for Equality Constraints Problems. 2018 IEEE Congress on Evolutionary Computation (CEC), pp. 1-6, 2018.
   [DOI: 10.1109/CEC.2018.8477884]

3. Evair Severo, Rayson Laroca, Cides S. Bezerra, Luiz A. Zanlorensi, Daniel Weingaertner, Gladston Juliano Prates Moreira, David Menotti: a Benchmark for Iris Location and a Deep Learning Detector Evaluation. 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1-7, 2018.
   [DOI: 10.1109/IJCNN.2018.8489638]

4. Pedro H. L. Silva, Eduardo J S Luz, Elizabeth Fialho Wanner, David Menotti, Gladston Juliano Prates Moreira: Qrs Detection in Ecg Signal with Convolutional Network. 23rd Iberoamerican Congress on Pattern Recognition, pp. 802-809, 2018

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Journal Papers

1. Gabriel Garcia, Gladston Juliano Prates Moreira, David Menotti, Eduardo Luz: Inter-Patient Ecg Heartbeat Classification with Temporal Vcg Optimized by Pso. Scientific Reports 7(1), 2017.
   [DOI: 10.1038/s41598-017-09837-3]

2. Conrado Galdino, Stefânia Ventura, Gladston Juliano Prates Moreira: Unveiling a Spatial Tail Breakage Outbreak in a Lizard Population. The Journal Amphibia-Reptilia 38(2):238-242, 2017.
   [DOI: 10.1163/15685381-00003094]

3. Eduardo J. da S. Luz, Luiz H.C. Merschmann, David Menotti, Gladston Juliano Prates Moreira: Evaluating a Hierarchical Approach for Heartbeat Classification from Ecg. INTERNATIONAL JOURNAL OF BIOINFORMATICS RESEARCH AND APPLICATIONS (PRINT) 13(2):146-160, 2017.
   [DOI: 10.1504/ijbra.2017.10003488]

Conference Proceedings - International

1. Fernando Bernardo, Gladston Juliano Prates Moreira, Eduardo Luz, Paulo Henrique Calaes Oliveira, Alvaro Gaurda: Exploring the Scalability of Multiple Signatures in Iris Recognition using Ga on the Acceptance Frontier Search. 2017 IEEE Congress on Evolutionary Computation (CEC), , 2017.
   [DOI: 10.1109/cec.2017.7969525]

2. Paulo Henrique Calaes Oliveira, Gladston Juliano Prates Moreira, Daniela M. Ushizima, Claudia M. Carneiro, Fatima N. S. Medeiros, Flavio H. D. de Araujo, Romuere R. V. E Silva, Andrea G. C. Bianchi: a Multi-Objective Approach for Calibration and Detection of Cervical Cells Nuclei. 2017 IEEE Congress on Evolutionary Computation (CEC), , 2017.
   [DOI: 10.1109/cec.2017.7969586]

3. Thiago Schons, Gladston Juliano Prates Moreira, Pedro H. L. Silva, Vitor N. Coelho, Eduardo J S Luz: Convolutional Network for Eeg-Based Biometric. 22nd Iberoamerican Congress on Pattern Recognition, pp. 601-608, 2017

Book Chapters

1. Gladston Juliano Prates Moreira, Luís Paquete, Luiz Henrique Duczmal, David Menotti, Ricardo Hiroshi Caldeira Takahashi: Spatial Cluster Detection Through a Dynamic Programming Approach. In: Handbook of Scan Statistics, vol. 1. pp. 1-13, 2017.
   [DOI: 10.1007/978-1-4614-8414-1_40-1]

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Conference Proceedings - International

1. Dênis Ricardo Xavier de Oliveira, Gladston Juliano Prates Moreira, Eduardo J S Luz, Marcone Jamilson Freitas Souza: a New Irregular Spatial Cluster Detection Through Multi-Objective Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (CEC 2016), pp. 403-407, 2016.
   [DOI: 10.1109/CEC.2016.7743822]

2. Gladston Juliano Prates Moreira, Eduardo J S Luz, David Menotti: Optimizing Acceptance Frontier using Pso and Ga for Multiple Signature Iris Recognition. IEEE Congress on Evolutionary Computation (CEC 2016), pp. 4592-4598, 2016.
   [DOI: 10.1109/CEC.2016.7744375]

3. Gabriel Carvalho Garcia, Gladston Juliano Prates Moreira, Eduardo J S Luz, David Menotti: Improving Automatic Cardiac Arrhythmia Classification: Joining Temporal-Vcg, Complex Networks and Svm Classifier. International Joint Conference on Neural Networks (IJCNN 2016), pp. 3896-3900, 2016.
   [DOI: 10.1109/IJCNN.2016.7727704]

4. Dênis Ricardo Xavier de Oliveira, Gladston Juliano Prates Moreira, Eduardo J S Luz, Marcone Jamilson Freitas Souza: Geographical Irregular Shaped Cluster Through Particle Swarms Optimization. Workshop on Applied Combinatorial Optimization Methods (WACOM), , 2016

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Journal Papers

1. Gladston Juliano Prates Moreira, Luís Paquete, Luiz Henrique Duczmal, David Menotti, Ricardo Hiroshi Caldeira Takahashi: Multi-Objective Dynamic Programming for Spatial Cluster Detection. ENVIRONMENTAL AND ECOLOGICAL STATISTICS 22(2):369-391, 2015.
   [DOI: 10.1007/s10651-014-0302-7]

Conference Proceedings - International

1. Vinícius Queiroz, Eduardo J S Luz, Gladston Juliano Prates Moreira, Alvaro Guarda, David Menotti: Automatic Cardiac Arrhythmia Detection and Classification using Vectorcardiograms and Complex Networks. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5203-5206, 2015.
   [DOI: 10.1109/embc.2015.7319564]

2. Sandro L J L Tinôco, David Menotti, Jefersson Alex Dos Santos, Gladston Juliano Prates Moreira: a Multi-Objective Approach for Building Hyperspectral Remote Sensed Image Classifier Combiners. 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO’2015), pp. 544-556, 2015

3. Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Luís Paquete, David Menotti, Ricardo Hiroshi Caldeira Takahashi, Denise Burgarelli: Dry Climate as a Predictor of Chagas? Disease Irregular Clusters: a Covariate Study. Conference of the International Society for Disease Surveillance (ISDS 2014), , 2015

4. Diego de Araújo Santana, Geraldo L. de Faria, Gladston Juliano Prates Moreira, David Menotti: Average Grain Size Estimation on Metallic Materials using Image Analysis. XI Workshop de Visão Computacional, pp. 434-439, 2015

Conference Proceedings - National/Regional

1. Gladston Juliano Prates Moreira, Anderson Ribeiro Duarte, David Menotti: Um Algoritmo Enxame De partículas binário Para detecção De Clusters Irregulares. 12o Congresso Brasileiro de Inteligência Computacional, pp. 1-5, 2015.
   [DOI: 10.21528/CBIC2015-027]

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Conference Proceedings - National/Regional

1. Henrique Jose de Paula Alves, Fernando Luiz Pereira de Oliveira, Gladston Juliano Prates Moreira, Camila Pereira Texeira: Uma aplicação Experimental Da estatística Espacial Scan Circular. XXI SEIC Encontro de Saberes, , 2013

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Conference Proceedings - International

1. Thiago Santos, Ricardo Hiroshi Caldeira Takahashi, Gladston Juliano Prates Moreira: a Cma Stochastic Differential Equation Approach for many-Objective Optimization. IEEE Congress on Evolutionary Computation (CEC’2012), pp. 1-6, 2012.
   [DOI: 10.1109/CEC.2012.6253014]

2. Gladston Juliano Prates Moreira, Luiz Henrique Duczmal, Luís Paquete, Ricardo Hiroshi Caldeira Takahashi: Constrained Dynamic Programming Approach to Spatial Cluster Detection. Sixth International Workshop on Applied Probability (IWAP 2012), pp. 26-26, 2012

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Journal Papers

1. Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Denise Burgarelli, Ricardo Hiroshi Caldeira Takahashi, Flavia C O Magalhaes, Emerson Cotta Bodevan: Voronoi Distance Based Prospective Space-Time Scans for Point Data Sets: a Dengue Fever Cluster Analysis in a Southeast Brazilian Town. International Journal of Health Geographics 10(1), 2011.
   [DOI: 10.1186/1476-072X-10-29]

Conference Proceedings - International

1. Gladston Juliano Prates Moreira, Luiz Henrique Duczmal, Luís Paquete, Ricardo Hiroshi Caldeira Takahashi: Spatial Cluster Detection Through Constrained Dynamic Programming. International Society for Disease Surveillance 10th Annual Conference (ISDS 2011), , 2011

2. Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Denise Burgarelli, Ricardo Hiroshi Caldeira Takahashi, Flávia C O Magalhães, Emerson Cotta Bodevan: a Voronoi Based Prospective Scan for Spacetime Clusters of Geo-Referenced Individuals: a Pilot Study of Dengue Fever Surveillance. 10th international Conference on Urban Health (ICUH 2011), pp. 42-42, 2011

3. Renata da Encarnação Onety, Gladston Juliano Prates Moreira, Oriane Magela Neto, Ricardo Hiroshi Caldeira Takahashi: Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on Ip Networks. 6th International Conference on Evolutionary Multi-Criterion Optimization (EMO’2011), pp. 433-447, 2011

4. Emerson Cotta Bodevan, Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Anderson Ribeiro Duarte, Flávia C O Magalhães: Significant Multiple High-and Low-Risk Regions in Event Data Maps. International Society for Disease Surveillance 10th Annual Conference (ISDS 2011), , 2011

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Conference Proceedings - International

1. Gladston Juliano Prates Moreira, Elizabeth Fialho Wanner, Frederico Gadelha Guimarães, Luiz Henrique Duczmal, Ricardo Hiroshi Caldeira Takahashi: Lmi Formulation for Multiobjective Learning in Radial Basis Function Neural Networks. The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1-7, 2010.
   [DOI: 10.1109/IJCNN.2010.5596964]

2. Renata da Encarnação Onety, Gladston Juliano Prates Moreira, Luciano de Errico: Abordagem Multiobjetivo Baseada Em Ag e Vns Para otimização De Rotas Em Redes Ip. 2ª Escola Luso-Brasileira de Computação Evolutiva (ELBCE), , 2010

3. Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Denise Burgarelli, Ricardo Hiroshi Caldeira Takahashi, Flávia C O Magalhães, Emerson Cotta Bodevan: a Voronoi Based Scan for Space-Time Cluster Detection in Point Event Data. 9th Annual Conference of the International Society for Disease Surveillance (ISDS 2010), pp. 18-19, 2010

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Conference Proceedings - International

1. Flávia C O Magalhães, Luiz Henrique Duczmal, Sabino José Ferreira Neto, André Luiz Fernandes Cançado, Anderson Ribeiro Duarte, Gladston Juliano Prates Moreira, Denise Burgarelli: vigilância sindrômica Da Dengue. IV Congresso Brasileiro de Telemedicina e Telessaúde, , 2009

2. Luiz Henrique Duczmal, Flávia C O Magalhães, Sabino José Ferreira Neto, Gladston Juliano Prates Moreira, Anderson Ribeiro Duarte, André Luiz Fernandes Cançado, Denise Burgarelli: Syndromic Surveillance of Dengue Fever in Brazil at the Individual Level. Eighth Annual International Society for Disease Surveillance (ISDS) Conference, , 2009

Conference Proceedings - National/Regional

1. Elizabeth Fialho Wanner, Gladston Juliano Prates Moreira, Eduardo Gontijo Carrano, Ricardo Hiroshi Caldeira Takahashi, Luiz Henrique Duczmal: Multi-Objective Training of Rbf Networks for Large Data Sets with Lmi’s. IX Congresso Brasileiro de Redes Neurais (CBRN), , 2009.
   [DOI: 10.21528/CBRN2009-001]

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Conference Proceedings - International

1. Gladston Juliano Prates Moreira, Ricardo Hiroshi Caldeira Takahashi, Luiz Henrique Duczmal: Delineating Spatial Clusters with Artificial Neural Networks. Sixth Annual International Society for Disease Surveillance Conference, pp. 104-104, 2007

2. Luiz Henrique Duczmal, Gladston Juliano Prates Moreira, Sabino José Ferreira Neto, Ricardo Hiroshi Caldeira Takahashi: Dual Graph Spatial Cluster Detection for Syndromic Surveillance in Networks. Sixth Annual International Society for Disease Surveillance Conference, pp. 88-88, 2007

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