This page is used to post some extra resources that are not proper for other pages. All resources are external links, so click on them to open.

---

Slide Presentations

 

• Digital Images and Computer Vision 101 Class Notes
  • Basic Digital Image Representation and Operations – Part 1 (portuguese)
  • Basic Digital Image Representation and Operations – Part 2 (portuguese)
  • Project 1 (portuguese)
  • Spatial Filtering (Portuguese)
  • Frequency Filtering (Portuguese)
  • Face Detection (Portuguese)
  • Face Detection with Deep Learning (Portuguese)

 

• Deep Learning 101 Class Notes
  • Neural Networks Intro (portuguese)
  • Neural Network Classification (portuguese)
  • Neural Network Regression (portuguese)
  • CNNs Intro (portuguese)
  • CNNs with K-Fold Cross-Validation (portuguese)

 

• Python and Statistics 101 Class Notes
  • Python 101 – part 1 (portuguese)
  • Python 101 – part 2 (portuguese)
  • Statistics 101 (portuguese)
  • Data Visualization 101 (portuguese)
  • First Mini-project (portuguese)
  • Basic Distributions (portuguese)
  • Tests (portuguese)
  • Imbalanced Data (portuguese)
  • Second Mini-project (portuguese)

 

• Machine Learning: Classifiers and Models Validation Class Notes
  • Confusion Matrix (portuguese)
  • Auxiliary Notebook
  • Transfer Learning (portuguese)
  • Auxiliary Notebook
  • Sentiment Analysis Intro (portuguese)
  • Style Transfer Intro (portuguese)
  • AWS SageMaker Deploy Tutorial (portuguese)

 

• Supervised Learning Class Notes
  • Introduction (portuguese)
  • Linear Regression (portuguese)
  • K-Nearest Neighbors – KNN (portuguese)
  • Support Vector Machines – SVM (portuguese)
  • Artificial Neural Networks (portuguese)
  • Auxiliary Notebook
  • Recurrent Neural Networks – RNN (portuguese)
  • Convolutional Neural Networks – CNN (portuguese)
  • Auxiliary Notebook
  • Toy dataset from Kaggle
  • Toy dataset for regression exercises

 

• Unsupervised Learning Class Notes
  • Introduction (portuguese)
  • K-Means Algorithm (portuguese)
  • PAM Algorithm (portuguese)
  • DBSCAN Algorithm (portuguese)
  • Auxiliary Notebook
  • Autoencoders (portuguese)
  • Auxiliary Notebook
  • Generative Adversarial Networks (portuguese)
  • Auxiliary Notebook
  • Toy dataset for clustering exercises

 

• Reinforcement Learning Class Notes
  • Multi-Armed Bandit Problem (portuguese)
  • Markov Decision Process (portuguese)
  • Q-learning and Actor Critic (portuguese)
  • Introduction to Deep Reinforcement Learning (portuguese)

 

• Simple Autoencoder Implementation for The Signals, Images and Video Coding Course at The University of Brasília – FGA
  • Slide Presentation (portuguese)
  • Google Colaboratory
  • Dataset -> not-MNIST

 

• CCECE 2019 Slide Presentation

 

• Master’s Thesis: Detecção de Modo de Transporte Utilizando Smartphones e Redes Neurais Artificiais para Prevenção de Acidentes

 

• Undergrad Thesis: Detecção de Fraudes em Leitores de Impressões Digitais sem Contato Utilizando Descritores de Texturas e Redes Neurais Artificiais

 

• WPOS/WCOMP 2017

 

• WPOS/WCOMP 2016

 

• PPGINF Seminar: Transport Mode Detection Using Mobile Phones and Artificial Neural Networks for Accident Prevention

 

• PPGINF Seminar: Detecção de Fraudes em Leitores de Impressões Digitais sem Contato Utilizando Descritores de Texturas e Redes Neurais Artificiais

---

Posters

 

• ProIC 2013/2014

 

• ProIC 2012/2013

---

Fundamentals of Robotics with LEGO MINDSTORMS EV3

 

• RileyRover

 

• 01 – Introduction

 

• 02 – Sounds, screen, lights and operators

 

• 03 – Fluxograms and Color Sensor