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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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  1. 📝 Embarcados
  2. 📝 Prensa
  3. 📝 RPubs

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  • NCL, ...

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  • Quarto, RMarkdown, etc

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  • iGraph, Multi-label Classification, verificar aqui bibliotecas R

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Audio/Music Edition

  • Bandlab, Moises, ChordIA

Video Edition

  • Vegas

Gaming

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Stats

cissagatto

cissagatto

Elaine Cecília Gatto's Projects

scmamp icon scmamp

Statistical comparison of multiple algorithms

similaritiesmultilabel icon similaritiesmultilabel

This code is part of my Ph.D. research. The aim is generate similarity matrices from similarity measures.

tcp-knn-h-clus icon tcp-knn-h-clus

Test the best hybrid partition generated by hierarchical community detection methods wiht k-NN sparsification using Clus Framework

tcp-knn-nh-clus icon tcp-knn-nh-clus

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

tcp-random-h-clus icon tcp-random-h-clus

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

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.

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

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