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  • 🔭 I’m currently working with Multilabel Classification
  • I’m currently working as a Machine Learning & Artificial Intelligence Researcher
  • 📫 E-mail: [email protected]

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cissagatto

cissagatto

Elaine Cecília Gatto's Projects

tcp-random-nh-clus icon tcp-random-nh-clus

Test the best random partition generated by non hierarchical community detection methods using Clus framework

tcp-tr-h-clus icon tcp-tr-h-clus

Test the best hybrid partition generated by hierarchical community detection methods wiht threshold sparsification using clus framework

tcp-tr-nh-clus icon tcp-tr-nh-clus

Test the best hybrid partition generated by non hierarchical comunity detection methods, and threshold sparsification, using Clus Framework.

test-best-hybrid-partition icon test-best-hybrid-partition

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

trabalho1_ap icon trabalho1_ap

Trabalho 1 da disciplina de Aprendizado de Máquina do Professor Diego

trabalho2_ap icon trabalho2_ap

Trabalho 2 da disciplina de Aprendizado de Máquina. Prof. Dr. Diego, Departamento de Computação, UFSCAR.

trabalho3_ap icon trabalho3_ap

Trabalho 3 da disciplina de Aprendizado de Máquina. Prof. Dr. Diego, Departamento de Computação, UFSCar

win-tie-loss icon win-tie-loss

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.

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