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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Offensive Language Detection in Social Media Using Machine Learning Algorithms

Published in Pontifical Catholic University of Campinas (PUC-Campinas), 2020

This work presents an approach for detecting offensive language in social media content using machine learning algorithms. The study explores various models, feature extraction techniques, and evaluation metrics to improve classification accuracy.

Citation: ARAUJO, M. P; ADÁN COELLO, J. M. (2020). "Identificação de linguagem ofensiva em mídias sociais utilizando algoritmos de aprendizado de máquina." Pontifical Catholic University of Campinas (PUC-Campinas).
Download Paper | Download Certificate | Source repository

Sell More – Sales Enhancement System for Retail Stores

Published in Pontifical Catholic University of Campinas (PUC-Campinas), 2022

Undergraduate project that developed ‘Venda Mais (Sell More)’, a system to enhance retail clothing store sales using facial recognition, decision tree algorithms, and customer–salesperson matchmaking, achieving promising results in store performance.

Citation: ARAUJO, M. P. (2022). "Venda Mais – Sistema de Aprimoramento de Vendas em Lojas." Pontifical Catholic University of Campinas (PUC-Campinas).
Download Paper | Source repository

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.