Research

Research Interests

 My research interests are basically directed towards pattern recognition. Specially regarding to audio classification tasks based on features obtained in the visual domain and other applications based on textural features:

These are some of the topics I've been working during the last few years:

• Multi-label classification.

• Multi-modal multimedia classification.

• Handwritten writer identification.

• Biomedical imaging.

• Texture Classification.

• Dissimilarity Pattern Recognition.

• Audio classification.

 Journal Reviewer

• Pattern Recognition - Elsevier Journal

• Expert Systems with Applications Elsevier Journal

• Sensors

• Journal of Ambient Intelligence and Humanized Computing

• Knowledge Based Systems - Elsevier

• Computers & Graphics - Elsevier

• Applied Sciences

• Scientific Reports

• Artificial Intelligence in Medicine

• Neurocomputing - Elsevier Journal

Program Committee

• IEEE International Conference on Systems, Man, and Cybernetics (SMC2018).

• 10th International ACM Conference on Management of Emergent Digital EcoSystems (MEDES'18).

• 2019 International Joint Conference on Neural Networks (IJCNN).

• 2020 International Joint Conference on Neural Networks (IJCNN).

• 2021 International Joint Conference on Neural Networks (IJCNN).

• 2022 International Joint Conference on Neural Networks (IJCNN).

• 2023 International Joint Conference on Neural Networks (IJCNN).

• 2024 International Joint Conference on Neural Networks (IJCNN).

• SIBGRAPI 2021 - 34th Conference on Graphics, Patterns and Images

Datasets

For the sake of clarity, I’ve been trying to make all the data used in my research available to facilitate the reproducibility of the experiments performed and published with students and colleagues.  You can find some of these datasets on the following links:

• FMA90k: A Multi-Label Dataset Extracted from the Free Music Archive , created by Rodolfo M. Pereira

• Brazilian Music Database, created by Rodolfo M. Pereira

• Brazilian Speech Database, created by Marco Aurélio D. Paulino

• LifeClef 2015 bird task subsets, created by Rafael H. D. Zottesso

• Indoor Sign Dataset, created by João Luiz R. de Almeida

• Bonsay Style Classification, created by Guilherme Nakahata

• Japanese Kana and Brazilian Portuguese manuscript database, created by Luiz Fellipe Machi Pereira

• Toxic Ornamental Plants for Domestic Animals database, created by Sara Saori Satake

• Rats Liver dataset

• Masks for lung segmentation (COVID-19 paper)

• Enteric Glial Cells (EGC-Z dataset)

• Music4All: A New Music Database and Its Applications: under request by contact4music4all@gmail.com

• Dataset for Classification of UML Diagrams to Support Software Engineering Education

• Muscle Dataset

• Stingless bee dataset, available under request: pg55308@uem.br

Lattes curriculum.

Google scholar profile.