Name: Elaine Cecília Gatto
Type: User
Bio: Data Scientist, Machine Learning Researcher, Computer Engineer, Computer Scientist, Professor, Researcher, Speaker, Writer, Singer, Geek, Nerd, Otaku, Gamer
Twitter: cissagatto
Location: Jaú
Blog: https://sites.google.com/view/cissagatto
Elaine Cecília Gatto's Projects
Test the best random partition generated by non hierarchical community detection methods using Clus framework
Test the best hybrid partition generated by hierarchical community detection methods wiht threshold sparsification using clus framework
Test the best hybrid partition generated by non hierarchical comunity detection methods, and threshold sparsification, using Clus Framework.
This code is part of my Ph.D. research. Test the best hybrid partition chosen - with any of the criteria methods - using ECC or CLUS
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Macro-F1 criteria using Clus framework.
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Micro-F1 criteria using Clus framework.
This code is part of my Ph.D. research. Test the best hybrid partitions with Clus framework.
Trabalho 1 da disciplina de Aprendizado de Máquina do Professor Diego
Trabalho 2 da disciplina de Aprendizado de Máquina. Prof. Dr. Diego, Departamento de Computação, UFSCAR.
Trabalho 3 da disciplina de Aprendizado de Máquina. Prof. Dr. Diego, Departamento de Computação, UFSCar
One-versus-all comparison. Count how many times your method (algorithm) obtained a better result when compared to all other methods (algorithms) in your experiment.