| 2025 | VISIGRAPP | Sleep-Stage Efficient Classification Using a Lightweight Self-Supervised Model. | Eldiane Borges dos Santos Dures, Joo Batista Florindo |
| 2025 | VISIGRAPP | A Multifractal-Based Masked Auto-Encoder: An Application to Medical Images. | Joo Batista Florindo, Viviane de Moura |
| 2024 | SMC | An Empirical Fractal Measure to Predict the Generalization of Deep Neural Networks. | Joo Batista Florindo, Davi W. Misturini |
| 2021 | ICCS | A Study on a Feedforward Neural Network to Solve Partial Differential Equations in Hyperbolic-Transport Problems. | Eduardo Abreu, Joo Batista Florindo |
| 2021 | ICCS | An Application of a Pseudo-Parabolic Modeling to Texture Image Recognition. | Joo Batista Florindo, Eduardo Abreu |
| 2018 | CIARP | Dirichlet Series in Complex Network Modeling of Texture Images. | Joo Batista Florindo |
| 2017 | ICMV | Singular spectrum decomposition of Bouligand-Minkowski fractal descriptors: an application to the classification of texture Images. | Joo Batista Florindo |
| 2012 | ICISP | Texture Classification Based on Lacunarity Descriptors. | Joo Batista Florindo, Odemir Martinez Bruno |
| 2011 | ACIVS | A Method to Generate Artificial 2D Shape Contour Based in Fourier Transform and Genetic Algorithms. | Mauricio Falvo, Joo Batista Florindo, Odemir Martinez Bruno |
| 2011 | ACIVS | Fourier Fractal Descriptors for Colored Texture Analysis. | Joo Batista Florindo, Odemir Martinez Bruno |
| 2010 | ICISP | Leaves Shape Classification Using Curvature and Fractal Dimension. | Joo Batista Florindo, Andr Ricardo Backes, Odemir Martinez Bruno |
| 2009 | CAIP | A Novel Approach to Estimate Fractal Dimension from Closed Curves. | Andr Ricardo Backes, Joo Batista Florindo, Odemir Martinez Bruno |