cissagatto
Data Scientist, Machine Learning Researcher, Computer Engineer, Computer Scientist, Professor, Researcher, Speaker, Writer, Singer, Geek, Nerd, Otaku, Gamer
Federal University of LavrasLavras
Pinned Repositories
Bracis2023
Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023
cissagatto
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CrossValidationMultiLabel
A code to execute and save cross-validation in multilabel classification
HPML
This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1
Japones
Repositório destinado ao armazenamento e compartilhamento dos materiais dos estudos de Japonês que tenho feito!
MIPS32BitsCheatsheet
Cheatsheet completinha do MIPS 32 bits - MIPS Technologies
MultiLabelFriedmanNemenyi
This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.
plotHPML
This repository contains code for visualizing hybrid partitions, a method that plays a significant role in my PhD thesis. The code is designed to plot data partitions, specifically to highlight the differences between label clusters and instance clusters.
R_MultiLabel_Csv2Arff
This code converts CSV file in an ARFF file correctly for a multi-label dataset
WinTieLoss
A Win-Tie-Loss chart is a visual tool for comparing the performance of different algorithms or methods across multiple tasks or datasets. This type of chart summarizes how often a method "wins," "ties," or "loses" compared to other methods based on a specific performance metric.
cissagatto's Repositories
cissagatto/cissagatto
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cissagatto/Japones
Repositório destinado ao armazenamento e compartilhamento dos materiais dos estudos de Japonês que tenho feito!
cissagatto/Bootcamp-Data-Analytics-WoMakersCode-2024
cissagatto/Bracis2023
Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023
cissagatto/Cheat-Sheet-Statistic-R-Python
This repository contains the concepts, equations and commands to do statistical analysis with R and Python
cissagatto/HPML
This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1
cissagatto/jaccard-hierarchical-algorithm
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.
cissagatto/MesaRedona-DGIA-CPBR16
Repositório da mesa resonda sobre Discriminação de Gênero e Inteligência Artificial
cissagatto/plotHPML
This repository contains code for visualizing hybrid partitions, a method that plays a significant role in my PhD thesis. The code is designed to plot data partitions, specifically to highlight the differences between label clusters and instance clusters.
cissagatto/WinTieLoss
A Win-Tie-Loss chart is a visual tool for comparing the performance of different algorithms or methods across multiple tasks or datasets. This type of chart summarizes how often a method "wins," "ties," or "loses" compared to other methods based on a specific performance metric.
cissagatto/HPML-KAIS
Repository for the paper "Multi-Label Classification with Label Clusters"
cissagatto/MultiLabelFriedmanNemenyi
This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.
cissagatto/BellPartitionsMultiLabel
This code generates partitions based on bell numbers for multilabel classification.
cissagatto/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.
cissagatto/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.
cissagatto/CDMLC-ASOC
Repository for the paper "Community Detection for Multi-Label Classification" published in the journal "Applied Soft Computing"
cissagatto/curso-git-womakerscode
Repositório para as aulas de Git do BootCamp de Data Analytics da WoMakersCode que estou participando!
cissagatto/ECC
An implementation of Ensemble of Classifier Chains for Python.
cissagatto/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.
cissagatto/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.
cissagatto/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.
cissagatto/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.
cissagatto/HPML-Chains
This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.
cissagatto/InteligenciaArtificial
cissagatto/LH_CD_ElaineGatto
INDICIUM - Processo Seletivo - Lighthouse Programa De Formação Em Dados - Remoto
cissagatto/MultiLabelEvaluationMetrics
A python implementation of 43 evaluation metrics for multi-label classification and ranking
cissagatto/MultiLabelWilcoxon
The Wilcoxon Test Suite is a comprehensive set of R scripts designed for conducting non-parametric Wilcoxon tests across multiple datasets.
cissagatto/Oracle-Clus
This code is part of my doctoral research. It's oracle experimentation of Bell Partitions using the CLUS framework.
cissagatto/pairComparison
One-to-one comparison. Count how many datasets your method (algorithm) obtained the best result when compared to other method (or methods) in the experiment.
cissagatto/potencia-feminina-git-e-github
repositorio do curso ministrado para o projeto potencia feminina