Teaching object oriented programming computer languages: learning based on projects. - Gélio M. Ferreira; Marcelo Zanchetta do Nascimento; Karcius D. R. Assis; Rodrigo Pereira Ramos (ICSEA, 2007)

Comparison of PCA and ANOVA for Information Selection of CC and MLO Views in Classification of Mammograms. - Ricardo de Souza Jacomini; Marcelo Zanchetta do Nascimento; Rogério Daniel Dantas; Rodrigo Pereira Ramos (IDEAL, 2012)

Texture extraction: An evaluation of ridgelet, wavelet and co-occurrence based methods applied to mammograms. - Rodrigo Pereira Ramos; Marcelo Zanchetta do Nascimento; Danilo Cesar Pereira (Expert Syst. Appl., 2012)

Classification of masses in mammographic image using wavelet domain features and polynomial classifier. - Marcelo Zanchetta do Nascimento; Alessandro Santana Martins; Leandro Alves Neves; Rodrigo Pereira Ramos; Edna Lúcia Flôres; Gilberto Arantes Carrijo (Expert Syst. Appl., 2013)

Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm. - Danilo Cesar Pereira; Rodrigo Pereira Ramos; Marcelo Zanchetta do Nascimento (Comput. Methods Programs Biomed., 2014)

LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues. - Daniel O. Tambasco Bruno; Marcelo Zanchetta do Nascimento; Rodrigo Pereira Ramos; Valério Ramos Batista; Leandro Alves Neves; Alessandro Santana Martins (Expert Syst. Appl., 2016)

Power Distribution Insulators Classification Using Image Hybrid Deep Learning. - Eduardo F. Simas Filho; Ricardo M. Prates; Rodrigo Pereira Ramos; Jaime S. Cardoso 001 (EUSIPCO, 2019)

Insulator visual non-conformity detection in overhead power distribution lines using deep learning. - Ricardo Santos Morla; Ricardo P. M. Cruz; André P. Marotta; Rodrigo Pereira Ramos; Eduardo F. Simas Filho; Jaime S. Cardoso 001 (Comput. Electr. Eng., 2019)

IRIS-GRAPE: An approach for prediction of quality attributes in vineyard grapes inspired by iris biometric recognition. - Daniel dos Santos Costa; Rosalvo Ferreira de Oliveira Neto; Rodrigo Pereira Ramos; Victor Gustavo da Silva Oliveira; Bárbara Teruel (Comput. Electron. Agric., 2020)

Parkinson's disease effective biomarkers based on Hjorth features improved by machine learning. - Bruno Fonseca Oliveira Coelho; Ana Beatriz R. Massaranduba; Carolline Angela dos Santos Souza; Giovanni Guimarães Viana; Ivani Brys; Rodrigo Pereira Ramos (Expert Syst. Appl., 2023)

Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. - Marcelo Grilo; Caroline P. A. Moraes; Bruno Fonseca Oliveira Coelho; Ana Beatriz R. Massaranduba; Denis G. Fantinato; Rodrigo Pereira Ramos; Aline Neves (Biomed. Signal Process. Control., 2023)

Image Processing and Deep Learning Based Failure Detection for Maintenance Optimization in Photovoltaic Panels. - Ricardo Menezes Prates; Ana Beatriz Rodrigues Massaranduba; Jadsonlee Da Silva Sá; Adeon Cecilio Pinto; Eubis Pereira Machado; Joaquim Junior Isidio De Lima; Carlos Augusto Oliveira Rocha; José Bione De Melo Filho; Rodrigo Pereira Ramos (IECON, 2024)