Douglas de O. Cardoso

According to our database, Douglas de O. Cardoso authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., August, 2024

2023

Online evaluation of the Kolmogorov-Smirnov test on arbitrarily large samples.

Douglas de O. Cardoso, Thalis D. Galeno

J. Comput. Sci., March, 2023

Experimental Analysis of Pipelining Community Detection and Recommender Systems.

Ryan Dutra de Abreu, Laura Silva de Assis, Douglas de O. Cardoso

Proceedings of the 19th International Conference on Web Information Systems and Technologies, 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

Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 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

Proceedings of the Computational Science - ICCS 2023, 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

Proceedings of the Computational Science - ICCS 2023, 2023

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

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

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

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, Douglas de O. Cardoso

Supercomput. Front. Innov., 2022

Contextualization for the Organization of Text Documents Streams.

Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil

CoRR, 2022

Sentiment Analysis Applied to IBOVESPA Prediction.

Yngwi Guimarães Vieira Souza, Luís Tarrataca, Douglas de O. Cardoso, Laura Silva de Assis

Proceedings of the Optimization, Learning Algorithms and Applications, 2022

Long-Term Person Reidentification: Challenges and Outlook.

Anderson Manhães, Gabriel Matos Araujo, Douglas de O. Cardoso, Milena F. Pinto, Jeferson Colares, Paulo Leitão, Diego Brandão, Diego B. Haddad

Proceedings of the Optimization, Learning Algorithms and Applications, 2022

2021

Text documents streams with improved incremental similarity.

Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama

Soc. Netw. Anal. Min., 2021

2020

Extrema Analysis of Node Centrality in Weighted Networks.

Roger S. Passos, Douglas de O. Cardoso

CoRR, 2020

Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy.

Igor Q. Lordeiro, Douglas de O. Cardoso

CoRR, 2020

2018

Weightless neuro-symbolic GPS trajectory classification.

Raul Barbosa, Douglas de O. Cardoso, Diego Carvalho, Felipe M. G. França

Neurocomputing, 2018

2017

WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering.

Douglas de O. Cardoso, Felipe M. G. França, João Gama

New Gener. Comput., 2017

Weightless neural networks for open set recognition.

Douglas de O. Cardoso, João Gama, Felipe M. G. França

Mach. Learn., 2017

A neuro-symbolic approach to GPS trajectory classification.

Diego Carvalho, Felipe M. G. França, Raul Barbosa, Douglas de O. Cardoso

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

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

Clustering data streams using a forgetful neural model.

Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2015

A bounded neural network for open set recognition.

Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

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

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

WIPS: the WiSARD Indoor Positioning System.

Douglas de O. Cardoso, João Gama, Massimo De Gregorio, Felipe M. G. França, Maurizio Giordano, Priscila M. V. Lima

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

A Weightless Neural Network-Based Approach for Stream Data Clustering.

Douglas de O. Cardoso, Massimo De Gregorio, Priscila Machado Vieira Lima, João Gama, Felipe Maia Galvão França

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A generic FPGA emulation framework.

Fernando Gehm Moraes, Matheus T. Moreira, Carlos Lucas, D. Correa, Douglas de O. Cardoso, M. Magnaguagno, Guilherme M. Castilhos, Ney Laert Vilar Calazans

Proceedings of the 19th IEEE International Conference on Electronics, Circuits and Systems, 2012

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

Proceedings of the 24th Symposium on Integrated Circuits and Systems Design, 2011

Clustering data streams with weightless neural networks.

Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011