Elaine Cecília Gatto's repositories
Multi-Label-Friedman-Nemenyi
Compute Friedman and Nemenyi Statistical Tests for Multilabel Classification
Bracis2023
Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023
Cheat-Sheet-Statistic-R-Python
This repository contains the concepts, equations and commands to do statistical analysis with R and Python
jaccard
This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
MesaRedona-DGIA-CPBR16
Repositório da mesa resonda sobre Discriminação de Gênero e Inteligência Artificial
MultilabelPerformanceEvaluationMeasures
This code shows how to compute the measures of multi-label classification hand in hand.
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.
BellPartitionsMultiLabel
This code generates partitions based on bell numbers for multilabel classification.
Best-Partition-MaF1-Clus
This code is part of my PhD research. This code select the best partition using the CLUS framework. We choose the partition with the best Macro-F1.
Best-Partition-MiF1-Clus
This code is part of my Ph.D. research. This code selects the best partition using the CLUS framework. We choose the partition with the best Micro-F1.
curso-git-womakerscode
Repositório para as aulas de Git do BootCamp de Data Analytics da WoMakersCode que estou participando!
Exhaustive-MaF1-Clus
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
Exhaustive-MiF1-Clus
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
Generate-Partitions-Jaccard
This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
Generate-Partitions-Kohonen
This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.
Generate-Partitions-Random2
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
Generate-Partitions-Rogers
This code is part of my doctoral research. The aim is to generate partitions using Rogers-Tanimoto similarity measure.
HPML-Chains
This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.
LH_CD_ElaineGatto
INDICIUM - Processo Seletivo - Lighthouse Programa De Formação Em Dados - Remoto
Oracle-Clus
This code is part of my doctoral research. It's oracle experimentation of Bell Partitions using the CLUS framework.
Pair-Comparison
One-to-one comparison. Count how many datasets your method (algorithm) obtained the best result when compared to other method (or methods) in your experiment.
potencia-feminina-git-e-github
repositorio do curso ministrado para o projeto potencia feminina
Test-Best-Partition-MaF1-Clus
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Macro-F1 criteria using Clus framework.
Test-Best-Partition-MiF1-Clus
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Micro-F1 criteria using Clus framework.