Federal University of Ceara

Fortaleza, CE, Brazil

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research-article
Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics
- Xiujian Liu
  School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
  ,
- Baihong Xie
  School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
  ,
- Dong Zhang
  School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
  School of Biomedical Engineering, Anhui Medical University, Hefei, China
  ,
- Heye Zhang
  School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
  ,
- Zhifan Gao
  School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
  ,
- Victor Hugo C. de Albuquerque
  Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil
December 2024Expert Systems with Applications: An International Journal, Volume 257, Issue Chttps://doi.org/10.1016/j.eswa.2024.125079
research-article
Minimum lethal sets in grids and tori under 3-neighbour bootstrap percolation
- Fabricio Benevides
  Universidade Federal do Ceará, Fortaleza, Brazil
  ,
- Jean-Claude Bermond
  Université Côte d’Azur, INRIA, CNRS, France
  ,
- Hicham Lesfari
  Université Côte d’Azur, INRIA, CNRS, France
  ,
- Nicolas Nisse
  Université Côte d’Azur, INRIA, CNRS, France
June 2024European Journal of Combinatorics, Volume 119, Issue Chttps://doi.org/10.1016/j.ejc.2023.103801
review-article
Machine Learning for Spectrum Sharing: A Survey
- Francisco R. V. Guimarães
  IFCE, Brazil
  ,
- José Mairton B. da Silva Jr.
  Uppsala University, Sweden
  ,
- Charles Casimiro Cavalcante
  UFC, Brazil
  ,
- Gabor Fodor
  KTH Royal Institute of Technology, Sweden
  ,
- Mats Bengtsson
  KTH Royal Institute of Technology, Sweden
  ,
- Carlo Fischione
  KTH Royal Institute of Technology, Sweden
November 2024Foundations and Trends® in Networking, Volume 14, Issue 1-2https://doi.org/10.1561/1300000073
research-article
Scale mixtures of multivariate centered skew-normal distributions
- João Victor B. de Freitas
  https://ror.org/04wffgt70Departamento de Estatística, Instituto de Matemática, Estatística e Computação Científica, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
  ,
- Pascal Bondon
  Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91190, Gif-sur-Yvette, France
  ,
- Caio L. N. Azevedo
  https://ror.org/04wffgt70Departamento de Estatística, Instituto de Matemática, Estatística e Computação Científica, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
  ,
- Valdério A. Reisen
  Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91190, Gif-sur-Yvette, France
  https://ror.org/05sxf4h28Programa de Pós-graduação em Engenharia Ambiental (PPGEA), Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
  https://ror.org/03k3p7647Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Bahia, Brazil
  ,
- Juvêncio S. Nobre
  https://ror.org/03srtnf24Departamento de Estatística e Matemática Aplicada, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil
December 2024Statistics and Computing, Volume 34, Issue 6https://doi.org/10.1007/s11222-024-10512-7
Article
Small, Medium, and Large Language Models for Text-to-SQL
- Aiko Oliveira
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  https://ror.org/01dg47b60Department of Informatics, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Eduardo Nascimento
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- João Pinheiro
  https://ror.org/01dg47b60Department of Informatics, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Caio Viktor S. Avila
  https://ror.org/03srtnf24Federal University of Ceará, UFC, 60440-900, Fortaleza, CE, Brazil
  ,
- Gustavo Coelho
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Lucas Feijó
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Yenier Izquierdo
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Grettel García
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Luiz André P. Paes Leme
  Instituto de Computação, UFF, 24210-310, Niterói, RJ, Brazil
  ,
- Melissa Lemos
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  https://ror.org/01dg47b60Department of Informatics, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  ,
- Marco A. Casanova
  https://ror.org/01dg47b60Tecgraf Institute, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
  https://ror.org/01dg47b60Department of Informatics, PUC-Rio, 22451-900, Rio de Janeiro, RJ, Brazil
October 2024Conceptual Modelinghttps://doi.org/10.1007/978-3-031-75872-0_15
research-article
Multi-language Software Development in the LLM Era: Insights from Practitioners’ Conversations with ChatGPT
- Lucas Aguiar
  State University of Ceará, Brazil
  ,
- Matheus Paixao
  State University of Ceará, Brazil
  ,
- Rafael Carmo
  Federal University of Ceará, Brazil
  ,
- Edson Soares
  State University of Ceará, Brazil
  ,
- Antonio Leal
  State University of Ceará, Brazil
  ,
- Matheus Freitas
  State University of Ceará, Brazil
  ,
- Eliakim Gama
  State University of Ceará, Brazil
October 2024ESEM '24: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurementhttps://doi.org/10.1145/3674805.3690755

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Federal University of Ceara

Federal University of Ceara

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Published Items by Year

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Institution’s Latest Publications

Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics

Minimum lethal sets in grids and tori under 3-neighbour bootstrap percolation

Machine Learning for Spectrum Sharing: A Survey

Scale mixtures of multivariate centered skew-normal distributions

Small, Medium, and Large Language Models for Text-to-SQL

Multi-language Software Development in the LLM Era: Insights from Practitioners’ Conversations with ChatGPT

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