Research topics

My current research interests span the fields of Machine Learning/Artificial Intelligence, Computer Vision, and Health Informatics, in particular, their intersection. Nonetheless, I also have an interest in Data Science, Natural Computing, and Decision Making. A list of topics is presented in the following:

  • Machine learning
  • Deep Learning
  • Medical imaging
  • ML for Health and wellbeing
  • Data Science
  • Decision making
  • Information fusion
  • Evolutionary algorithms
  • Robotics

Research groups

I’ve worked in the following research groups:

Conference and Journal Reviewing

  • 2024: Computers in Biology and Medicine, Artificial Intelligence in Medicine
  • 2023: Artificial Intelligence in Medicine, Biomedical Signal Processing and Control, IEEE Journal of Biomedical and Health Informatics, and MethodsX
  • 2022: IEEE Journal of Biomedical and Health Informatics
  • 2021: IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, ISIC @ CVPR (program committee)
  • 2020: IEEE Journal of Biomedical and Health Informatics
  • 2019: Computers & Industrial Engineering, IEEE International Joint Conference on Neural Networks, and Neurocomputing
  • 2018: IEEE International Joint Conference on Neural Networks

Thesis

List of publications

This is my list of publications. It’s organized in chronological time. You can also check my Google Scholar.

  • TODIM and TOPSIS with Z-numbers
  • Authors: Renato Krohling, Andre G. C. Pacheco, and Guilherme Artém
  • In: Frontiers of Information Technology & Electronic Engineering, 2017

Talks and presentations

Here you may find some talks and presentations I carried out throughout the years. Some are in English and others in Portuguese:

  • Sep 2023: PAD-UFES-20: the challenges and opportunities in creating a skin lesion dataset. Presentation
  • Ago 2023: Out-of-distribution (OOD) detection: uma visão geral sobre o tópico para classificação de imagens . Download
  • Nov 2022: Como a Inteligência Artificial afeta seu cotidiano. Download
  • Oct 2022: Ética em Inteligência Artificial - Por que precisamos falar sobre esse assunto?. Download
  • Apr 2021: Sobrevivendo na graduação: guia (quase) definitivo. Download
  • Jul 2020: On Out-of-Distribution Detection Algorithms With Deep Neural Skin Cancer Classifiers. CVPR 2020 @ ISIC 2020. Download
  • Dec 2019: Recent advances in deep learning applied to skin cancer detection. NeurIPS 2019 @ Retrospectives workshop. Download
  • Mar 2019: Introduction to machine learning. Faculdade Multivix, Vitória, Brazil. Portuguese only. Download
  • Nov 2018: Introduction to Capsule Networks. Computer Science, UFES, Vitória, Brazil. Download
  • Nov 2018: Introduction to Helmholtz machine. Computer Science, UFES, Vitória, Brazil. Download
  • Jun 2018: An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. IJCNN 2018, Rio de Janeiro, Brazil. Download
  • Apr 2018: Restricted Boltzmann Machine for clustering data. Computer Science, UFES, Vitória, Brazil. Download
  • Mar 2018: Introduction to Python for scientific computer. Production Engineer, UFES, Vitória, Brazil. Portuguese only. Download
  • Sep 2017: Overview of singular value decomposition. Computer Science, UFES. Vitória, UFES. Portuguese only. Download
  • Apr 2017: Classification fusion. Computer Science, UFES, Vitória, Brazil. Portuguese only. Download
  • Jul 2016: Restricted Boltzmann Machine for classification. SBPO 2016. Vitória, Brazil. Portuguese only. Download
  • Jul 2016: Introduction to data classification. Jornada de Atualização em Computação, Elétrica e Eletrônica - JAACE, UFES, Vitória, Brazil. Portuguese only. Download
  • Aug 2014: Raking algorithms with A-TOPSIS. ITQM 2014, Rio de Janeiro, Brazil. Download