Elaine Cecília Gatto's repositories

Multi-Label-Friedman-Nemenyi

Compute Friedman and Nemenyi Statistical Tests for Multilabel Classification

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Bracis2023

Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023

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Cheat-Sheet-Statistic-R-Python

This repository contains the concepts, equations and commands to do statistical analysis with R and Python

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HPML

This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1

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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.

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MultilabelPerformanceEvaluationMeasures

This code shows how to compute the measures of multi-label classification hand in hand.

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rogers

This code generate partitions for a multilabel dataset using the Rogers-Tanimoto 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.

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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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HPML-KAIS

Repository for the paper "Multi-Label Classification with Label Clusters"

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BellPartitionsMultiLabel

This code generates partitions based on bell numbers for multilabel classification.

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Best-Partition-Kohonen-MaF1-Clus

This code is part of my doctoral research. The aim choose the best partition generated.

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Best-Partition-Kohonen-MiF1-Clus

This code is part of my doctoral research. The aim choose the best partition generated.

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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.

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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.

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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.

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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.

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Generate-Partitions-Jaccard

This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.

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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.

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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.

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Generate-Partitions-Rogers

This code is part of my doctoral research. The aim is to generate partitions using Rogers-Tanimoto similarity measure.

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HPML-Chains

This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.

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LH_CD_ElaineGatto

INDICIUM - Processo Seletivo - Lighthouse Programa De Formação Em Dados - Remoto

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Oracle-Clus

This code is part of my doctoral research. It's oracle experimentation of Bell Partitions using the CLUS framework.

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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.

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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.

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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.

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Test-Best-Partition-Silhouette-Clus

This code is part of my Ph.D. research. Test the best hybrid partitions with Clus framework.

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