Douglas de O. Cardoso

32 papers B 5C 2Misc 1Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A low-complexity window-based learning framework for adaptive 6G beam selection using WiSARD. Comput. Networks Joanna Carolina Manjarres, Douglas de O. Cardoso, José Ferreira de Rezende
2026	J	`jnl`	Assuming the best: Towards a reliable protocol for resource usage prediction for high-performance computing based on machine learning. Future Gener. Comput. Syst. Alexandre H. L. Porto, Micaella Coelho, Hiago Mayk G. de A. Rocha, Carla Osthoff, Kary A. C. S. Ocaña, Douglas de O. Cardoso
2024	—	`conf`	A WiSARD Network Approach for 5G MIMO Beam Selection. IPMU (1) Joanna Carolina Manjarres, Douglas de O. Cardoso, Aldebaro Klautau, José Ferreira de Rezende
2024	J	`jnl`	Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection. Stat. Comput. Douglas de O. Cardoso, Joao Domingos Gomes da Silva Junior, Carla Silva Oliveira, Lucas C. Marques, Laura Silva de Assis
2023	—	`conf`	A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem. BRACIS (1) Sarah Ribeiro Lisboa Carneiro, Michael Ferreira de Souza, Douglas de O. Cardoso, Luís Tarrataca, Laura S. de Assis
2023	—	`conf`	An Analysis of Political Parties Cohesion Based on Congressional Speeches. ICCS (3) Willian P. C. Lima, Lucas C. Marques, Laura S. de Assis, Douglas de O. Cardoso
2023	—	`conf`	An Approach for Probabilistic Modeling and Reasoning of Voting Networks. ICCS (3) Douglas de O. Cardoso, Willian P. C. Lima, Guilherme G. V. L. Silva, Laura S. de Assis
2023	—	`conf`	An Exploratory Study of Deep Learning for Predicting Computational Tasks Behavior in HPC Systems. SBAC-PADW Alexandre H. L. Porto, Micaella Coelho, Kary A. C. S. Ocaña, Carla Osthoff, Francieli Boito, Douglas de O. Cardoso
2023	C	`conf`	Experimental Analysis of Pipelining Community Detection and Recommender Systems. WEBIST Ryan Dutra de Abreu, Laura Silva de Assis, Douglas de O. Cardoso
2023	J	`jnl`	Online evaluation of the Kolmogorov-Smirnov test on arbitrarily large samples. J. Comput. Sci. Douglas de O. Cardoso, Thalis D. Galeno
2022	J	`jnl`	Contextualization for the Organization of Text Documents Streams. CoRR Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil
2022	J	`jnl`	Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation. Supercomput. Front. Innov. 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
2022	—	`conf`	Long-Term Person Reidentification: Challenges and Outlook. OL2A Anderson Manhães, Gabriel Matos Araujo, Douglas de O. Cardoso, Milena F. Pinto, Jeferson Colares, Paulo Leitão, Diego N. Brandão, Diego B. Haddad
2022	J	`jnl`	Multi-Armed Bandits for Minesweeper: Profiting From Exploration-Exploitation Synergy. IEEE Trans. Games Igor Q. Lordeiro, Diego B. Haddad, Douglas de O. Cardoso
2022	—	`conf`	Sentiment Analysis Applied to IBOVESPA Prediction. OL2A Yngwi Guimarães Vieira Souza, Luís Tarrataca, Douglas de O. Cardoso, Laura Silva de Assis
2021	J	`jnl`	Text documents streams with improved incremental similarity. Soc. Netw. Anal. Min. Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama
2020	J	`jnl`	Extrema Analysis of Node Centrality in Weighted Networks. CoRR Roger S. Passos, Douglas de O. Cardoso
2020	J	`jnl`	Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy. CoRR Igor Q. Lordeiro, Douglas de O. Cardoso
2018	J	`jnl`	Weightless neuro-symbolic GPS trajectory classification. Neurocomputing Raul Barbosa, Douglas de O. Cardoso, Diego Carvalho, Felipe M. G. França
2017	B	`conf`	A neuro-symbolic approach to GPS trajectory classification. ESANN Diego Carvalho, Felipe M. G. França, Raul Barbosa, Douglas de O. Cardoso
2017	—	`—`	Rejection-oriented learning without complete class information Douglas de O. Cardoso
2017	J	`jnl`	WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering. New Gener. Comput. Douglas de O. Cardoso, Felipe M. G. França, João Gama
2017	J	`jnl`	Weightless neural networks for open set recognition. Mach. Learn. Douglas de O. Cardoso, João Gama, Felipe M. G. França
2016	Misc	`conf`	Clustering data streams using a forgetful neural model. SAC Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama
2016	J	`jnl`	Financial credit analysis via a clustering weightless neural classifier. Neurocomputing 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
2015	B	`conf`	A bounded neural network for open set recognition. IJCNN Douglas de O. Cardoso, Felipe Maia Galvão França, João Gama
2014	B	`conf`	Credit analysis with a clustering RAM-based neural classifier. ESANN 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
2013	B	`conf`	WIPS: the WiSARD Indoor Positioning System. ESANN Douglas de O. Cardoso, João Gama, Massimo De Gregorio, Felipe M. G. França, Maurizio Giordano, Priscila M. V. Lima
2012	C	`conf`	A Weightless Neural Network-Based Approach for Stream Data Clustering. IDEAL Douglas de O. Cardoso, Massimo De Gregorio, Priscila Machado Vieira Lima, João Gama, Felipe Maia Galvão França
2012	—	`conf`	A generic FPGA emulation framework. ICECS Fernando Gehm Moraes, Matheus T. Moreira, Carlos Lucas, D. Correa, Douglas de O. Cardoso, Maurício Cecílio Magnaguagno, Guilherme M. Castilhos, Ney Laert Vilar Calazans
2011	—	`conf`	A self-adaptable distributed DFS scheme for NoC-based MPSoCs. SBCCI Thiago R. da Rosa, Guilherme Montez Guindani, Douglas de O. Cardoso, Ney Laert Vilar Calazans, Fernando Gehm Moraes
2011	B	`conf`	Clustering data streams with weightless neural networks. ESANN Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França