ProfessorsProfessors of Pontifícia Universidade Católica do Rio Grande do SulMartin Duarte More

Martin Duarte More

Pontifícia Universidade Católica do Rio Grande do Sul

H-index: 5

Latin America-Brazil

About Martin Duarte More

Martin Duarte More, With an exceptional h-index of 5 and a recent h-index of 5 (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, Generative Models.

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

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

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey

Efficient Counterfactual Debiasing for Visual Question Answering

Web planner: A tool to develop, visualize, and test classical planning domains

Martin Duarte More Information

University	Pontifícia Universidade Católica do Rio Grande do Sul
Position	MSc Student at
Citations(all)	87
Citations(since 2020)	83
Cited By	24
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Pontifícia Universidade Católica do Rio Grande do Sul
Google Scholar	View Google Scholar Profile

Martin Duarte More Skills & Research Interests

Machine Learning

Deep Learning

Computer Vision

Generative Models

Top articles of Martin Duarte More

Title	Journal	Author(s)	Publication Date
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
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey		Otávio Parraga Martin D More Christian M Oliveira Nathan S Gavenski Lucas S Kupssinskü ...	2022/11/10
Efficient Counterfactual Debiasing for Visual Question Answering		Camila Kolling Martin More Nathan Gavenski Eduardo Pooch Otávio Parraga ...	2022
Web planner: A tool to develop, visualize, and test classical planning domains	Knowledge Engineering Tools and Techniques for AI Planning	Maurício C Magnaguagno Ramon Fraga Pereira Martin D Móre Felipe Meneguzzi	2020/3/25