cissagatto

cissagatto

home

Japones

Repositório destinado ao armazenamento e compartilhamento dos materiais dos estudos de Japonês que tenho feito!

Bootcamp-Data-Analytics-WoMakersCode-2024

Repositório para o BootCamp de Análise de Dados da WoMakersCoode

HPML

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

HPML.ECC

This code is part of my Ph.D. research. The R script runs in parallel the ECC made in python.

MesaRedona-DGIA-CPBR16

Repositório da mesa resonda sobre Discriminação de Gênero e Inteligência Artificial

MultiLabelEvaluationMetrics

A python implementation of 43 evaluation metrics for multi-label classification and ranking

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.

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.

HPML-KAIS

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

BellPartitionsMultiLabel

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

CDMLC-ASOC

Repository for the paper "Community Detection for Multi-Label Classification" published in the journal "Applied Soft Computing"

curso-git-womakerscode

Repositório para as aulas de Git do BootCamp de Data Analytics da WoMakersCode que estou participando!

ECC

An implementation of Ensemble of Classifier Chains for Python.

GeneratePartitionsCommunities

Generates hybrid partitions using community detection methods.

GlobalPartitions

This code is part of my PhD research. The aim is built and validate global partitions for multi-label classification

HPML-Chains

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

HPML.D.CEI

This code is part of my Ph.D. research. The objective is to test the best chosen hybrid partitions with silhouette coefficient. A version HPML where both internal and external chaining is performed. This is a joint version of Label Chains HPML and Cluster Chains HPML. Therefore, there is the chaining of labels and clusters.

InteligenciaArtificial

LocalPartitions

This code is part of my PhD research. The aim is built and validate local partitions for multi-label classification

MultiLabelWilcoxon

The Wilcoxon Test Suite is a comprehensive set of R scripts designed for conducting non-parametric Wilcoxon tests across multiple datasets.

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.

potencia-feminina-git-e-github

repositorio do curso ministrado para o projeto potencia feminina

SimilaritiesMultiLabel

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

TcpKnnH

Test the best hybrid partition generated by hierarchical comunity detection methods and k-NN sparsification

TcpKnnNh

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

TcpTrH

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

TcpTrNh

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

ValidateHybridPartitions