no code implementations • 29 Apr 2023 • Rafael Oliveira Ribeiro, João C. R. Neves, Arnout C. C. Ruifrok, Flavio de Barros Vidal
We demonstrate the benefits of this approach in forensic evaluation settings with the development and validation of score-based likelihood ratio systems and report improvements in Cllr of up to 95% (from 0. 249 to 0. 012) for CCTV images and of up to 96% (from 0. 083 to 0. 003) for social media images.
1 code implementation • 2 Jul 2022 • Pedro H. Luz de Araujo, Ana Paula G. S. de Almeida, Fabricio A. Braz, Nilton C. da Silva, Flavio de Barros Vidal, Teofilo E. de Campos
The Brazilian Supreme Court receives tens of thousands of cases each semester.
no code implementations • 28 Sep 2021 • Ana Paula G. S. de Almeida, Flavio de Barros Vidal
In the early 1990s, the first signs of life of the CNN era were given: LeCun et al. proposed a CNN model trained by the backpropagation algorithm to classify low-resolution images of handwritten digits.
no code implementations • 5 Mar 2021 • Andre da Silva Abade, Lucas Faria Porto, Paulo Afonso Ferreira, Flavio de Barros Vidal
The general average calculated for each model, on a from-scratch training, the NemaNet model reached 96. 99% accuracy, while the best evaluation fold reached 98. 03%.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Marcos Lima, Roberta Silva, Felipe Lopes de Souza Mendes, Leonardo R. de Carvalho, Aleteia Araujo, Flavio de Barros Vidal
Public works procurements move US{\$} 10 billion yearly in Brazil and are a preferred field for collusion and fraud.
no code implementations • 9 Sep 2020 • Andre S. Abade, Paulo Afonso Ferreira, Flavio de Barros Vidal
Plant diseases are considered one of the main factors influencing food production and minimize losses in production, and it is essential that crop diseases have fast detection and recognition.
no code implementations • 1 Aug 2020 • Ana Paula G. S. de Almeida, Flavio de Barros Vidal
This paper proposes a fusion strategy for multistream convolutional networks, the Lattice Cross Fusion.
no code implementations • 6 Aug 2019 • Lucas F. Porto, Laise N. Correia Lima, Ademir Franco, Carlos Eduardo Machado Palhares, Donald M. Pianto, Flavio de Barros Vidal
This manuscript presents an approach using photo-anthropometric indexes, generated from frontal faces cephalometric landmarks, to create an artificial neural network classifier that allows the estimation of anthropological information, in this specific case age and sex.
no code implementations • 24 Apr 2019 • Lucas Faria Porto, Laise Nascimento Correia Lima, Marta Flores, Andrea Valsecchi, Oscar Ibanez, Carlos Eduardo Machado Palhares, Flavio de Barros Vidal
In the forensic field, the focus is on the analysis of a particular set of facial landmarks, defined as cephalometric landmarks.