Algorithms for BPRN Coloring of a Digraph. - Francisco Gleyson da Silva Gomes; Leonardo Ferreira da Costa; Leonardo Sampaio Rocha; Gerardo Valdisio Rodrigues Viana; Fábio Carlos Sousa Dias (ISCC, 2018)

Smart Targets to Avoid Observation in CTO Problem. - Thayanne França da Silva; José Luis Alves Leite; Raimundo Juracy Campos Ferro Junior; Leonardo Ferreira da Costa; Raphael Pinheiro de Souza; João Pedro Bernardino Andrade; Gustavo Augusto Lima de Campos (AAMAS, 2019)

Cooperative Observation of Smart Target Agents. - Matheus Santos Araújo; Thayanne F. da Silva; Vinícius A. Sampaio; Gabriel F. L. Melo; Raimundo Juracy Campos Ferro Junior; Leonardo Ferreira da Costa; João P. B. Andrade; Gustavo A. L. de Campos (BRACIS (2), 2020)

KNN Applied to PDG for Source Code Similarity Classification. - Clóvis Daniel Souza Silva; Leonardo Ferreira da Costa; Leonardo Sampaio Rocha; Gerardo Valdisio Rodrigues Viana (BRACIS (2), 2020)

An Agent Program in an IoT System to Recommend Plans of Activities to Minimize Childhood Obesity. - Lucas Vieira Alves; Rodrigo Teixeira de Melo; Leonardo Ferreira da Costa; Cleilton Lima Rocha; Eriko Werbet de Oliveira Araujo; Gustavo A. L. de Campos; Jerffeson Teixeira de Souza (COMPSAC, 2020)

Smart Algorithm for Unhealthy Behavior Detection in Health Parameters. - Leonardo Ferreira da Costa; Rodrigo Teixeira de Melo; Lucas Vieira Alves; Cleilton Lima Rocha; Eriko Werbet de Oliveira Araujo; Gustavo Augusto Lima de Campos; Jerffeson Teixeira de Souza; Andreas Triantafyllidis; Anastasios Alexiadis; Konstantinos Votis; Dimitrios Tzovaras (COMPSAC, 2020)

Improving the Behavior of Evasive Targets in Cooperative Target Observation. - Thayanne França da Silva; Matheus Santos Araújo; Raimundo Juracy Campos Ferro Junior; Leonardo Ferreira da Costa; João Pedro Bernardino Andrade; Gustavo Augusto Lima de Campos; Joaquim Celestino Jr. (COMPSAC, 2020)

An agent program in an IoT system to recommend activities to minimize childhood obesity problems. - Jerffeson Teixeira de Souza; Gustavo Augusto Lima de Campos; Cleilton Lima Rocha; Eriko Werbet; Leonardo Ferreira da Costa; Rodrigo Teixeira de Melo; Lucas Vieira Alves (SAC, 2020)

Deep Convolutional Features for Fingerprint Indexing. - Leonardo Ferreira da Costa; Lucas S. Fernandes; João P. B. Andrade; Paulo A. L. Rego; José G. R. Maia (BRACIS (2), 2021)

Intelligent Agents for Observation and Containment of Malicious Targets Organizations. - Thayanne França da Silva; Matheus Santos Araújo; Raimundo Juracy Campos Ferro Junior; Leonardo Ferreira da Costa; João Pedro Bernardino Andrade; Gustavo Augusto Lima de Campos (BRACIS (1), 2021)

Cooperative Observation of Malicious Targets in a 3D Urban Traffic Environment Using UAVs. - Matheus Santos Araújo; João P. B. Andrade; Thayanne F. da Silva Junior; Leonardo Ferreira da Costa; Raimundo Juracy Campos Ferro Junior; Gabriel F. L. Melo; Douglas A. Da Silva; Gustavo Augusto Lima de Campos (LARS/SBR/WRE, 2021)

A Comparative Study of Federated Versus Centralized Learning for Time Series Prediction in IoT. - Lia Sucupira Furtado; Leonardo Ferreira da Costa; Paulo Henrique Gonçalves Rocha; Paulo Antonio Leal Rego (BRACIS (2), 2022)

Dog Face Recognition Using Deep Features Embeddings. - João P. B. Andrade; Leonardo Ferreira da Costa; Lucas S. Fernandes; Paulo A. L. Rego; José G. R. Maia (BRACIS (2), 2023)

Time series prediction in IoT: a comparative study of federated versus centralized learning. - Leonardo Ferreira da Costa; Lia Sucupira Furtado; Paulo Henrique Gonçalves Rocha; Paulo A. L. Rego; Fernando A. M. Trinta (CCNC, 2023)

Smart Organizations of Unmanned Aerial Vehicles Using SOMs for Monitoring Cars on Urban Roads. - Matheus Santos Araújo; Leonardo Ferreira da Costa; Gustavo A. L. de Campos; Yuri Lenon B. Nogueira (LARS/SBR/WRE, 2023)