Vinícius P. Machado

Orcid: 0000-0003-3391-8443

Affiliations:
  • Federal University of Piauí, Teresina, Brazil
  • Federal University of Rio Grande do Norte, Natal, Brazil (PhD 2009)
  • University of Fortaleza, Brazil (former)


According to our database1, Vinícius P. Machado authored at least 27 papers between 2003 and 2023.

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

Timeline

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Bibliography

2023
Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Method for inferring the number of clusters based on a range of attribute values with subsequent automatic data labeling.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Classification of Facial Images Using Deep Learning Models to Support ASD Identification.
Proceedings of the XLIX Latin American Computer Conference, 2023

2022
Public Administration Suppliers Classification Model Based on Supervised Machine Learning.
Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

A hybrid descriptor to improve kidney pathologies classification.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

CAIBAL: cluster-attribute interdependency based automatic labeler.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Using Clinical Data and Deep Features in Renal Pathologies Classification.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Deep semi-supervised classification based in deep clustering and cross-entropy.
Int. J. Intell. Syst., 2021

Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
Group Labeling Methodology Using Distance-based Data Grouping Algorithms.
RITA, 2020

Convolution Neural Network Models for Acute Leukemia Diagnosis.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2019
ABCD rule and pre-trained CNNs for melanoma diagnosis.
Multim. Tools Appl., 2019

Semi-supervised Classification Using Deep Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Automatic Cluster Labeling Based on Phylogram Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

New Solution based on Fuzzy System for the IA-RMLSA Problem in Elastic Optical Network.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2016
Automatic labelling of clusters of discrete and continuous data with supervised machine learning.
Knowl. Based Syst., 2016

Automatic labelling of clusters with discrete and continuous data using supervised machine learning.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

2015
Automatic labeling of social network users Scientia.Net through the machine learning supervised application.
Soc. Netw. Anal. Min., 2015

2014
Automatic cluster labeling through Artificial Neural Networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
E-PL: Um Objeto de Aprendizagem para o Ensino de Programação Linear.
Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

Machine learning algorithms applied in automatic classification of social network users.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2010
A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks.
IEEE Trans. Ind. Electron., 2010

2008
A neural network multiagent architecture applied to fieldbus intelligent control.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

2003
Improving Organizational Memory through Agents for Knowledge Discovery in Database.
Proceedings of the Agent Mediated Knowledge Management, 2003


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