Marco Aurelio Cavalcanti Pacheco

About Marco Aurelio Cavalcanti Pacheco

Marco Aurelio Cavalcanti Pacheco, With an exceptional h-index of 31 and a recent h-index of 16 (since 2020), a distinguished researcher at Pontifícia Universidade Católica do Rio de Janeiro, specializes in the field of Inteligência Computacional, Nanotecnologia, Otimização, Simulação e Gerência de Reservatório de Petróleo.

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

Classification of calcareous algae under noisy labels

GA-ANN para previsão de demanda MRO–Um estudo de caso aplicado em um operador ferroviário logístico

Learning by small loss approach multi-label to deal with noisy labels

Assessing fuel tax revenues-Study on impact of reducing fuel taxes using artificial intelligence

Seismic Fault Segmentation Using Unsupervised Domain Adaptation

Pareto optimization via genetic algorithm for selecting a portfolio of oil and gas exploration projects

Semi and Self-supervised Learning for Multi-label Classification for an Underwater Inspection Imagery Application

Wind Power Curtailment Optimization using Genetic Algorithm

Marco Aurelio Cavalcanti Pacheco Information

University

Position

Professor do Departamento de Engenharia Elétrica da Pontifícia Universidade Católica do Rio de Janeiro

Citations(all)

4146

Citations(since 2020)

1210

Cited By

3418

hIndex(all)

31

hIndex(since 2020)

16

i10Index(all)

90

i10Index(since 2020)

29

Email

University Profile Page

Pontifícia Universidade Católica do Rio de Janeiro

Google Scholar

View Google Scholar Profile

Marco Aurelio Cavalcanti Pacheco Skills & Research Interests

Inteligência Computacional

Nanotecnologia

Otimização

Simulação e Gerência de Reservatório de Petróleo

Top articles of Marco Aurelio Cavalcanti Pacheco

Title

Journal

Author(s)

Publication Date

Classification of calcareous algae under noisy labels

Neural Computing and Applications

Vitor Bento

Manoela Kohler

Marco Aurelio Pacheco

2024/2

GA-ANN para previsão de demanda MRO–Um estudo de caso aplicado em um operador ferroviário logístico

Guilherme Henrique de Paula Vidal

Rodrigo Goyannes Gusmão Caiado

Marco Aurélio Cavalcante Pacheco

2023

Learning by small loss approach multi-label to deal with noisy labels

Vitor Sousa

Amanda Lucas Pereira

Manoela Kohler

Marco Pacheco

2023/6/30

Assessing fuel tax revenues-Study on impact of reducing fuel taxes using artificial intelligence

Felipe Borges Coelho

Smith W Arauco Canchumuni

Marco A Cavalcanti Pacheco

2023/12/4

Seismic Fault Segmentation Using Unsupervised Domain Adaptation

Maykol J Campos Trinidad

Smith W Arauco Canchumuni

Marco A Cavalcanti Pacheco

2023/12/4

Pareto optimization via genetic algorithm for selecting a portfolio of oil and gas exploration projects

Wellington CR Nascimento

Marco Auréelio C Pacheco

2023/6/23

Semi and Self-supervised Learning for Multi-label Classification for an Underwater Inspection Imagery Application

Amanda Lucas Pereira

Manoela Kohler

Jose David Bermudez Castro

Marco Aurélio Cavalcanti Pacheco

2023/5/12

Wind Power Curtailment Optimization using Genetic Algorithm

Denise Tieko Naruto

Manoela Kohler

Marco Aurelio Pacheco

2023/11/24

Aprendizado Semi e Auto-supervisionado aplicado à classificação multi-label de imagens de inspeções submarinas

Marco Aurélio Cavalcanti Pacheco

2023/3

DRQN to optimize viewpoint planning in underwater environments

Evelyn CS Batista

Wouter Caarls

Leonardo A Mendoza

Marco Aurélio Pacheco

2023/10/29

MOGA 4WD: multi-objective genetic algorithm for four-wheel drive electrical vehicle torque distribution in challenging conditions: MOGA 4WD: algoritmo genético multi-objetivo …

Brazilian Journal of Development

Diego Gabriel Gomes Rosa

Marco Aurélio Pacheco

Marco Antonio Meggiolaro

Luiz Fernando Martha

2023/1/12

Cognitive Search: A Free Information Retrieval Web Service to Coronavirus Scientific Papers

Cristian E Munoz Villalobos

Leonardo A Forero Mendoza

Renato Sayão da Rocha

Jose Eduardo Ruiz

Harold D de Mello Junior

...

2023/7/26

A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence

Jose David Bermudez Castro

Jose E Ruiz

Pedro Achanccaray Diaz

Smith Arauco Canchumuni

Cristian Muñoz Villalobos

...

2022/7/4

Applications of Genetic Programming and Automatic Differentiation Algorithms in the Solution of Ordinary and Partial Differential Equations

Global Journals of Research in Engineering

Ana Carolina Abreu

Marco Aurélio Pacheco

Valdir Lobão

Douglas Dias

2022/6/14

A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images

Ralph Karam

Michel Salomon

Raphaël Couturier

2020/6/29

Discover Artificial Intelligence

Discover

Yuchen Jiang

Xiang Li

Hao Luo

Shen Yin

Okyay Kaynak

2021

Automatic Lithofacies Classification with t-SNE and K-Nearest Neighbors Algorithm.

Anuário Do Instituto De Geociências

Guilherme Loriato Potratz

Smith WA Canchumuni

Jose David Bermudez Castro

Júlia Potratz

Marco Aurélio C Pacheco

2021/1/1

Data Science Mentoring Support using Neural Networks

Maykol J Campos Trinidad

Felipe Borges Coelho

Smith W Arauco Canchumuni

Marco A Cavalcanti Pacheco

2021/9/13

Improvement optical character recognition for structured documents using generative adversarial networks

Jose D Bermudez Castro

Smith W Arauco Canchumuni

Cristian E Muñoz Villalobos

Fábio Corrêa Cordeiro

Antônio Marcelo Azevedo Alexandre

...

2021/9/13

Prof. Leonardo Alfredo Forero Mendoza

Marco A Cavalcanti Pacheco

2021/4

See List of Professors in Marco Aurelio Cavalcanti Pacheco University(Pontifícia Universidade Católica do Rio de Janeiro)