Rodrigo Coelho Barros

About Rodrigo Coelho Barros

Rodrigo Coelho Barros, With an exceptional h-index of 33 and a recent h-index of 24 (since 2020), a distinguished researcher at Pontifícia Universidade Católica do Rio Grande do Sul, specializes in the field of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Evolutionary Computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semi-supervised learning for mRALE score prediction in COVID-19 chest radiographs

LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition

Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19

Fairness in Deep Learning: A Survey on Vision and Language Research

A survey of evolutionary algorithms for supervised ensemble learning

Radiomics for predicting oxygen necessity in COVID-19 patients using longitudinal lung computed tomography

Self-Supervised Adversarial Imitation Learning

Exploring the zero-shot capabilities of the segment anything model (sam) in 2d medical imaging: A comprehensive evaluation and practical guideline

Rodrigo Coelho Barros Information

University

Position

Associate Professor School of Technology ()

Citations(all)

4250

Citations(since 2020)

2866

Cited By

2487

hIndex(all)

33

hIndex(since 2020)

24

i10Index(all)

58

i10Index(since 2020)

47

Email

University Profile Page

Pontifícia Universidade Católica do Rio Grande do Sul

Google Scholar

View Google Scholar Profile

Rodrigo Coelho Barros Skills & Research Interests

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing

Evolutionary Computation

Top articles of Rodrigo Coelho Barros

Title

Journal

Author(s)

Publication Date

Semi-supervised learning for mRALE score prediction in COVID-19 chest radiographs

Christian Mattjie

Luis V de Moura

Rafaela C Ravazio

Otavio Parraga

Lucas S Kupssinskü

...

2024/4/3

LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition

Proceedings of the AAAI Conference on Artificial Intelligence

Adilson Medronha

Luís Lima

Janaína Claudio

Lucas Kupssinskü

Rodrigo C Barros

2024/3/24

Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19

Radiologia Brasileira

Mariana Frizzo de Godoy

José Miguel Chatkin

Rosana Souza Rodrigues

Gabriele Carra Forte

Edson Marchiori

...

2023/3/10

Fairness in Deep Learning: A Survey on Vision and Language Research

Otavio Parraga

Martin D More

Christian M Oliveira

Nathan S Gavenski

Lucas S Kupssinskü

...

2023

A survey of evolutionary algorithms for supervised ensemble learning

The Knowledge Engineering Review

Henry EL Cagnini

Silvia CN Das Dôres

Alex A Freitas

Rodrigo C Barros

2023

Radiomics for predicting oxygen necessity in COVID-19 patients using longitudinal lung computed tomography

Rafaela Ravazio

Christian Mattjie

Luis Vinicius De Moura

Lucas Kupssinskü

Rodrigo C Barros

...

2023/12/4

Self-Supervised Adversarial Imitation Learning

Juarez Monteiro

Nathan Gavenski

Felipe Meneguzzi

Rodrigo C Barros

2023/6/18

Exploring the zero-shot capabilities of the segment anything model (sam) in 2d medical imaging: A comprehensive evaluation and practical guideline

arXiv e-prints

Christian Mattjie

Luis Vinicius de Moura

Rafaela Cappelari Ravazio

Lucas Silveira Kupssinskü

Otávio Parraga

...

2023/4

Efficient counterfactual debiasing for visual question answering

Camila Kolling

Martin More

Nathan Gavenski

Eduardo Pooch

Otávio Parraga

...

2022

Leveraging Textual Descriptions for House Price Valuation

Luís Fernando Bittencourt

Otávio Parraga

Duncan D Ruiz

Isabel H Manssour

Soraia Raupp Musse

...

2022/11/19

A Framework for Visualizing HCI Pattern Languages through Network Diagrams

Diego Moreira da Rosa

Andrea Gnecco

Milene Silveira

Christian Mattjie

Rodrigo C Barros

...

2022/10/24

COBE: A Natural Language Code Search Robustness Benchmark

Jônatas Wehrmann

Otávio Parraga

Rodrigo C Barros

2022/7/18

Explainable machine learning for COVID-19 pneumonia classification with texture-based features extraction in chest radiography

Frontiers in digital health

Luís Vinícius de Moura

Christian Mattjie

Caroline Machado Dartora

Rodrigo C Barros

Ana Maria Marques da Silva

2022/1/17

Prefácio e Organização

Álvaro Luiz Fazenda

Celso Luiz Mendes

Lucas Wanner

Jairo Panetta

2018/4/13

Proceendings of 19th National Meeting on Artificial and Computational Intelligence

Rodrigo Coelho Barros

Ricardo Marcondes Marcacini

2022

How resilient are imitation learning methods to sub-optimal experts?

Nathan Gavenski

Juarez Monteiro

Adilson Medronha

Rodrigo C Barros

2022/11/19

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Evolutionary Intelligence

Márcio P Basgalupp

Rodrigo C Barros

Alex Guimarães Cardoso de Sá

Gisele L Pappa

Rafael Gomes Mantovani

...

2021/12

Model compression in object detection

Andrey De Aguiar Salvi

Rodrigo C Barros

2021/7/18

Texture-based feature extraction for Covid-19 pneumonia classification using chest radiography

EAI Endorsed Transactions on Bioengineering and Bioinformatics

L Moura

C Dartora

C Mattjie

R Barros

Ana Maria Marques da Silva

2021

Can we trust deep learning based diagnosis? The impact of domain shift in chest radiograph classification

Eduardo HP Pooch

Pedro Ballester

Rodrigo C Barros

2020

See List of Professors in Rodrigo Coelho Barros University(Pontifícia Universidade Católica do Rio Grande do Sul)

Co-Authors

H-index: 105
Yaochu Jin

Yaochu Jin

University of Surrey

H-index: 73
Joao Gama

Joao Gama

Universidade do Porto

H-index: 69
Freitas, Alex A.

Freitas, Alex A.

University of Kent

H-index: 67
André Carlos Ponce de Leon Ferreira de Carvalho

André Carlos Ponce de Leon Ferreira de Carvalho

Universidade de São Paulo

H-index: 61
Julien Cohen-Adad, PhD

Julien Cohen-Adad, PhD

École Polytechnique de Montréal

H-index: 34
Eduardo R. Hruschka

Eduardo R. Hruschka

Universidade de São Paulo

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