Improving Organizational Memory through Agents for Knowledge Discovery in Database. - João José Vasco Furtado; Vinícius Ponte Machado (AMKM, 2003)

A neural network multiagent architecture applied to fieldbus intelligent control. - Vinícius Ponte Machado; Adrião Duarte Dória Neto; Jorge Dantas de Melo; Leonardo Guanabara; Juliana Medeiros (ETFA, 2008)

Uma arquitetura baseada em agentes para configuração dinâmica de aplicações inteligentes em ambiente foundation fieldbus - Vinícius Ponte Machado (2009)

A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks. - Vinícius Machado 001; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IEEE Trans. Ind. Electron., 2010)

Machine learning algorithms applied in automatic classification of social network users. - Bruno Vicente Alves de Lima; Vinícius Ponte Machado (CASoN, 2012)

E-PL: Um Objeto de Aprendizagem para o Ensino de Programação Linear. - Rodrigo Veras; Leonardo de Sousa; Marcos Frazão; Iális de Paula Jr; Vinícius Machado 001 (SBSI, 2012)

Automatic cluster labeling through Artificial Neural Networks. - Lucas A. Lopes; Vinícius P. Machado; Ricardo de A. L. Rabelo (IJCNN, 2014)

Automatic labeling of social network users Scientia.Net through the machine learning supervised application. - Bruno Vicente Alves de Lima; Vinícius Ponte Machado; Lucas A. Lopes (Soc. Netw. Anal. Min., 2015)

Automatic labelling of clusters with discrete and continuous data using supervised machine learning. - Joselito Mendes de Sousa; Roney Lira de Sales Santos; Lucas Araujo Lopes; Vinícius Ponte Machado; Ivan Saraiva Silva (SCCC, 2016)

Automatic labelling of clusters of discrete and continuous data with supervised machine learning. - Lucas A. Lopes; Vinícius P. Machado; Ricardo A. L. Rabêlo; Ricardo A. S. Fernandes; Bruno Vicente Alves de Lima (Knowl. Based Syst., 2016)

New Solution based on Fuzzy System for the IA-RMLSA Problem in Elastic Optical Network. - Enio L. V. Barbosa; André Soares 001; Vinícius P. Machado; Ricardo de A. L. Rabelo; Jose V. dos R. Junior (FUZZ-IEEE, 2018)

Automatic Cluster Labeling Based on Phylogram Analysis. - Francisco N. C. de Araujo; Vinícius P. Machado; Antonio H. M. Soares; Rodrigo de Melo Souza Veras (IJCNN, 2018)

Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm. - Luís Santos; Rodrigo M. S. Veras; Kelson Rômulo Teixeira Aires; Laurindo Britto; Vinícius P. Machado (IJCNN, 2018)

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. - Nayara Holanda de Moura; Rodrigo M. S. Veras; Kelson Rômulo Teixeira Aires; Vinícius P. Machado; Romuere R. V. e Silva; Flávio H. D. Araújo; Maíla de Lima Claro (ISCC, 2018)

Semi-supervised Classification Using Deep Learning. - Bruno Vicente Alves de Lima; Adrião Duarte Dória Neto; Lúcia Emília Soares Silva; Vinícius Ponte Machado; João Guilherme Cavalcanti Costa (BRACIS, 2019)

ABCD rule and pre-trained CNNs for melanoma diagnosis. - Nayara Holanda de Moura; Rodrigo de Melo Souza Veras; Kelson Rômulo Teixeira Aires; Vinícius P. Machado; Romuere R. V. e Silva; Flávio H. D. Araújo; Maíla de Lima Claro (Multim. Tools Appl., 2019)

Convolution Neural Network Models for Acute Leukemia Diagnosis. - Maíla de Lima Claro; Luis H. S. Vogado; Rodrigo Veras; André Macedo Santana; João Tavares 001; Justino Santos; Vinícius P. Machado (IWSSIP, 2020)

Group Labeling Methodology Using Distance-based Data Grouping Algorithms. - Francisco das Chagas Imperes Filho; Vinícius Ponte Machado; Rodrigo de Melo Souza Veras; Kelson Rômulo Teixeira Aires; Aline Montenegro Leal Silva (RITA, 2020)

Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling. - Lúcia Emília Soares Silva; Vinícius Ponte Machado; Sidiney Souza Araujo; Bruno Vicente Alves de Lima; Rodrigo de Melo Souza Veras (EPIA, 2021)

Deep semi-supervised classification based in deep clustering and cross-entropy. - Bruno Vicente Alves de Lima; Adrião Duarte Dória Neto; Lúcia Emília Soares Silva; Vinícius Ponte Machado (Int. J. Intell. Syst., 2021)

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network. - Justino Santos; Vinícius P. Machado; Luciano Oliveira; Washington L. C. dos-Santos; Nayze Aldeman; Angelo Amâncio Duarte; Rodrigo Veras (BRACIS (1), 2022)

Using Clinical Data and Deep Features in Renal Pathologies Classification. - Laiara Cristina da Silva; Vinícius P. Machado; Rodrigo Veras; Keylla Maria de Sá Urtiga Aita; Semiramis Jamil Hadad do Monte; Nayze Aldeman; Justino Santos (ISDA (2), 2022)

CAIBAL: cluster-attribute interdependency based automatic labeler. - Marcel Moura; Rodrigo Veras; Vinícius P. Machado (SAC, 2022)

A hybrid descriptor to improve kidney pathologies classification. - Laiara Cristina da Silva; Vinícius Ponte Machado; Rodrigo de Melo Souza Veras; Keylla Maria de Sá Urtiga Aita; Semiramis Jamil Hadad do Monte; Nayze Lucena Sangreman Aldeman (SAC, 2022)

Public Administration Suppliers Classification Model Based on Supervised Machine Learning. - Joselito Mendes de Sousa Júnior; Vinícius Ponte Machado; Rodrigo de Melo Souza Veras; Roney Lira de Sales Santos; Bruno Vicente Alves de Lima; Aline Montenegro Leal Silva; Francisco Alysson da Silva Sousa; Francisco das Chagas Imperes Filho (SBSI, 2022)

Classification of Facial Images Using Deep Learning Models to Support ASD Identification. - José Nazareno Alves Rodrigues; Kelson Rômulo Teixeira Aires; André Castelo Branco Soares; Vinícius Ponte Machado; Rodrigo de Melo Souza Veras (CLEI, 2023)

Method for inferring the number of clusters based on a range of attribute values with subsequent automatic data labeling. - Aline Montenegro Leal Silva; Francisco Jair de Oliveira Neres; Ana Paula da Silva Mendes; Vinícius Ponte Machado; André Macedo Santana; Ricardo de Andrade Lira Rabelo (INNS DLIA@IJCNN, 2023)

Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis. - Maura Rocha; Maíla de Lima Claro; Laurindo de S. B. Neto; Kelson Rômulo Teixeira Aires; Vinícius Machado 001; Rodrigo Veras (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

A Transformer-Based Tabular Approach to Detect Toxic Comments. - Ghivvago Damas Saraiva; Rafael Torres Anchiêta; Raimundo Santos Moura; Vinícius Ponte Machado (BRACIS (4), 2024)

Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. - Leonardo P. Sousa; Romuere R. V. Silva; Maíla L. Claro; Flávio H. D. Araújo; Rodrigo N. Borges; Vinícius P. Machado; Rodrigo M. S. Veras (BRACIS (1), 2024)