PowerMannaSim: An extension with power consumption modeling to MannaSim, a Wireless Sensor Network module of NS-2. - Rodolfo Miranda Pereira; Linnyer Beatrys Ruiz; Luiz Henrique C. Davantel; Thais R. M. Braga Silva (ISCC, 2015)

Using simplified chords sequences to classify songs genres. - Rodolfo Miranda Pereira; Carlos Nascimento Silla Jr. (ICME, 2017)

Teaching Algorithms for Visually Impaired and Blind Students using Physical Flowcharts and Screen Readers. - Rodolfo Miranda Pereira; Felippe Fernandes da Silva; Carlos N. Silla (FIE, 2018)

A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms. - Vinicius D. Valerio; Rodolfo Miranda Pereira; Yandre M. G. Costa; Diego Bertolini; Carlos Nascimento Silla Jr. (FLAIRS, 2018)

Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques. - Rodolfo Miranda Pereira; Yandre Maldonado e Gomes da Costa; Carlos Nascimento Silla Jr. (ICTAI, 2018)

Representation Learning vs. Handcrafted Features for Music Genre Classification. - Rodolfo Miranda Pereira; Yandre M. G. Costa; Rafael de Lima Aguiar; Alceu S. Britto Jr.; Luiz E. S. Oliveira; Carlos N. Silla (IJCNN, 2019)

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. - Rodolfo Miranda Pereira; Diego Bertolini; Lucas O. Teixeira; Carlos Nascimento Silla Jr.; Yandre M. G. Costa (Comput. Methods Programs Biomed., 2020)

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images. - Lucas O. Teixeira; Rodolfo Miranda Pereira; Diego Bertolini; Luiz S. Oliveira; Loris Nanni; Yandre M. G. Costa (CoRR, 2020)

MLTL: A multi-label approach for the Tomek Link undersampling algorithm. - Rodolfo Miranda Pereira; Yandre M. G. Costa; Carlos Nascimento Silla Jr. (Neurocomputing, 2020)

Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario. - Fábio K. H. de Barros; André L. Jeller Selleti; Vinícius A. P. Queiroz; Rodolfo Miranda Pereira; Carlos N. Silla (BIBE, 2021)

An Evaluation of Segmentation Techniques for Covid-19 Identification in Chest X-Ray. - Arthur Rodrigues Batista; Diego Bertolini; Yandre M. G. Costa; Luiz Fellipe Machi Pereira; Rodolfo Miranda Pereira; Lucas O. Teixeira (CIARP, 2021)

Handling imbalance in hierarchical classification problems using local classifiers approaches. - Rodolfo Miranda Pereira; Yandre M. G. Costa; Carlos N. Silla (Data Min. Knowl. Discov., 2021)

Toward hierarchical classification of imbalanced data using random resampling algorithms. - Rodolfo Miranda Pereira; Yandre M. G. Costa; Carlos Nascimento Silla Jr. (Inf. Sci., 2021)

Automatic chronic degenerative diseases identification using enteric nervous system images. - Gustavo Zanoni Felipe; Jacqueline Nelisis Zanoni; Camila C. Sehaber-Sierakowski; Gleison D. P. Bossolani; Sara R. G. Souza; Franklin César Flores; Luiz E. S. Oliveira; Rodolfo Miranda Pereira; Yandre M. G. Costa (Neural Comput. Appl., 2021)

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. - Lucas O. Teixeira; Rodolfo Miranda Pereira; Diego Bertolini; Luiz S. Oliveira; Loris Nanni; George D. C. Cavalcanti; Yandre M. G. Costa (Sensors, 2021)

A multimodal approach for multi-label movie genre classification. - Rafael B. Mangolin; Rodolfo Miranda Pereira; Alceu S. Britto Jr.; Carlos N. Silla; Valéria Delisandra Feltrim; Diego Bertolini; Yandre M. G. Costa (Multim. Tools Appl., 2022)

COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. - Yandre M. G. Costa; Sergio A. Da Silva Junior; Lucas O. Teixeira; Rodolfo Miranda Pereira; Diego Bertolini; Alceu S. Britto Jr.; Luiz S. Oliveira; George D. C. Cavalcanti (Sensors, 2022)

Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. - Gustavo Zanoni Felipe; Lucas O. Teixeira; Rodolfo Miranda Pereira; Jacqueline Nelisis Zanoni; Sara R. G. Souza; Loris Nanni; George D. C. Cavalcanti; Yandre M. G. Costa (Neural Process. Lett., 2023)