Clustering data streams with weightless neural networks. - Douglas de O. Cardoso; Priscila M. V. Lima; Massimo De Gregorio; João Gama 001; Felipe M. G. França (ESANN, 2011)

A self-adaptable distributed DFS scheme for NoC-based MPSoCs. - Thiago R. da Rosa; Guilherme Montez Guindani; Douglas de O. Cardoso; Ney Laert Vilar Calazans; Fernando Gehm Moraes (SBCCI, 2011)

A generic FPGA emulation framework. - Fernando Gehm Moraes; Matheus T. Moreira; Carlos Lucas; D. Correa; Douglas de O. Cardoso; Maurício Cecílio Magnaguagno; Guilherme M. Castilhos; Ney Laert Vilar Calazans (ICECS, 2012)

A Weightless Neural Network-Based Approach for Stream Data Clustering. - Douglas de O. Cardoso; Massimo De Gregorio; Priscila Machado Vieira Lima; João Gama 001; Felipe Maia Galvão França (IDEAL, 2012)

WIPS: the WiSARD Indoor Positioning System. - Douglas de O. Cardoso; João Gama 001; Massimo De Gregorio; Felipe M. G. França; Maurizio Giordano; Priscila M. V. Lima (ESANN, 2013)

Credit analysis with a clustering RAM-based neural classifier. - Douglas de O. Cardoso; Danilo S. Carvalho; Daniel S. F. Alves; Diego Fonseca Pereira de Souza; Hugo C. C. Carneiro; Carlos Eduardo Pedreira; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2014)

A bounded neural network for open set recognition. - Douglas de O. Cardoso; Felipe Maia Galvão França; João Gama 001 (IJCNN, 2015)

Clustering data streams using a forgetful neural model. - Douglas de O. Cardoso; Felipe Maia Galvão França; João Gama 001 (SAC, 2016)

Financial credit analysis via a clustering weightless neural classifier. - Douglas de O. Cardoso; Danilo S. Carvalho; Daniel S. F. Alves; Diego Fonseca Pereira de Souza; Hugo C. C. Carneiro; Carlos Eduardo Pedreira; Priscila M. V. Lima; Felipe M. G. França (Neurocomputing, 2016)

A neuro-symbolic approach to GPS trajectory classification. - Diego Carvalho 001; Felipe M. G. França; Raul Barbosa; Douglas de O. Cardoso (ESANN, 2017)

Weightless neural networks for open set recognition. - Douglas de O. Cardoso; João Gama 001; Felipe M. G. França (Mach. Learn., 2017)

WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering. - Douglas de O. Cardoso; Felipe M. G. França; João Gama 001 (New Gener. Comput., 2017)

Rejection-oriented learning without complete class information - Douglas de O. Cardoso (2017)

Weightless neuro-symbolic GPS trajectory classification. - Raul Barbosa; Douglas de O. Cardoso; Diego Carvalho 001; Felipe M. G. França (Neurocomputing, 2018)

Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy. - Igor Q. Lordeiro; Douglas de O. Cardoso (CoRR, 2020)

Extrema Analysis of Node Centrality in Weighted Networks. - Roger S. Passos; Douglas de O. Cardoso (CoRR, 2020)

Text documents streams with improved incremental similarity. - Rui Portocarrero Sarmento; Douglas de O. Cardoso; Kemmily Dearo; Pavel Brazdil; João Gama 001 (Soc. Netw. Anal. Min., 2021)

Long-Term Person Reidentification: Challenges and Outlook. - Anderson Manhães; Gabriel Matos Araujo; Douglas de O. Cardoso; Milena F. Pinto; Jeferson Colares; Paulo Leitão; Diego N. Brandão; Diego B. Haddad (OL2A, 2022)

Sentiment Analysis Applied to IBOVESPA Prediction. - Yngwi Guimarães Vieira Souza; Luís Tarrataca; Douglas de O. Cardoso; Laura Silva de Assis (OL2A, 2022)

Contextualization for the Organization of Text Documents Streams. - Rui Portocarrero Sarmento; Douglas de O. Cardoso; João Gama 001; Pavel Brazdil (CoRR, 2022)

Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation. - Haroldo F. de Campos Velho; Helaine Cristina Morais Furtado; Sabrina B. M. Sambatti; Carla Barros Osthoff Ferreira de Barros; Maria E. S. Welter; Roberto Pinto Souto; Diego Carvalho 001; Douglas de O. Cardoso (Supercomput. Front. Innov., 2022)

Multi-Armed Bandits for Minesweeper: Profiting From Exploration-Exploitation Synergy. - Igor Q. Lordeiro; Diego B. Haddad; Douglas de O. Cardoso (IEEE Trans. Games, 2022)

A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem. - Sarah Ribeiro Lisboa Carneiro; Michael Ferreira de Souza; Douglas de O. Cardoso; Luís Tarrataca; Laura S. de Assis (BRACIS (1), 2023)

An Approach for Probabilistic Modeling and Reasoning of Voting Networks. - Douglas de O. Cardoso; Willian P. C. Lima; Guilherme G. V. L. Silva; Laura S. de Assis (ICCS (3), 2023)

An Analysis of Political Parties Cohesion Based on Congressional Speeches. - Willian P. C. Lima; Lucas C. Marques; Laura S. de Assis; Douglas de O. Cardoso (ICCS (3), 2023)

An Exploratory Study of Deep Learning for Predicting Computational Tasks Behavior in HPC Systems. - Alexandre H. L. Porto; Micaella Coelho; Kary A. C. S. Ocaña; Carla Osthoff; Francieli Boito; Douglas de O. Cardoso (SBAC-PADW, 2023)

Experimental Analysis of Pipelining Community Detection and Recommender Systems. - Ryan Dutra de Abreu; Laura Silva de Assis; Douglas de O. Cardoso (WEBIST, 2023)

Online evaluation of the Kolmogorov-Smirnov test on arbitrarily large samples. - Douglas de O. Cardoso; Thalis D. Galeno (J. Comput. Sci., 2023)

A WiSARD Network Approach for 5G MIMO Beam Selection. - Joanna Carolina Manjarres; Douglas de O. Cardoso; Aldebaro Klautau; José Ferreira de Rezende (IPMU (1), 2024)

Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection. - Douglas de O. Cardoso; Joao Domingos Gomes da Silva Junior; Carla Silva Oliveira; Lucas C. Marques; Laura Silva de Assis (Stat. Comput., 2024)

Assuming the best: Towards a reliable protocol for resource usage prediction for high-performance computing based on machine learning. - Alexandre H. L. Porto; Micaella Coelho; Hiago Mayk G. de A. Rocha; Carla Osthoff; Kary A. C. S. Ocaña; Douglas de O. Cardoso (Future Gener. Comput. Syst., 2026)