Research

My research interests are basically directed towards pattern recognition and machine learning. Here are some topics I’ve been working on the last 20 years

Handwriting recognition, segmentation, and verification.
Signature and Writer Verification/Identification.
Classification and Regression models (including deep learning models)
Dynamic Selection of Classifiers/Regressors.
Concept Drift.
Dissimilarity Pattern Recognition.
Constrative Learning.
Texture Classification.

Academic Cooperation

Over the past few years, I have had the privilege of collaborating with researchers hailing from diverse corners of the world. My work has been supported by multiple funding agencies, reflecting the interdisciplinary nature and significance of my investigations. Here are some of my collaborations:

• SticAmsud [2024-2025]

• SticAmsud [2019-2020]

• SticAmsud [2014-2015]

• FAPs-INRIA-CNRS [2017-2019]

• ORAND S/A (CONICYT, Chile) [2012-2013]

• Intel Strategic Research Alliance [2012-2015]

• IBM Research with Paulo Cavalin [2013-2018]

• CAPES/FCT (INESC-Porto) with Fabien Gouyon [2009-2012]

• Université du Quebec/ETS (Canada) with Prof. Robert Sabourin, Prof. Alessandro Koerich, and Prof. Rafael Menelau Cruz [2005- ]

• Université de Rouen (France) with Prof. Laurent Heutte [2015-]

• UFPE, with Prof. George Cavalcanti [2015-]

• PUCPR, with Prof Alceu S. Britto Jr [2004-]

Datasets

Below are several datasets that my students have built over the past few years.

Dataset	Category	Download
Forest Species Database- Macroscopic	Texture	link
Forest Species Database - Microscopic	Texture	link
Charcoal Dataset	Texture	link
Brazilian Forensic Letter Database	Handwriting	link
Endangered Forest Species	Texture	link
#DeOlhoNosCorais	Texture	link1 link2
Parking Lot Database	Texture, Object	link
Fault Analysis Database	Tabular, Regression	link
Breast Cancer Histopathological Database - BreakHis	Texture, Medical Image	link
SignWriting	Handwriting	link
Dopamine Release	Texture	link