Laura Assis

According to our database, Laura Assis authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Switch Allocation Problem in Power Distribution Systems with Distributed Generation.

Gustavo Pacheco Epifanio, José Federico Vizcaino González, Fábio Luiz Usberti, Luís Tarrataca, Laura Silva de Assis

Oper. Res. Forum, September, 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 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

Memetic algorithm applied to topology control optimization of a wireless sensor network.

Jorge A. G. de Brito, Diego R. M. Totte, Fábio Silva, Jurair R. de P. Junior, Felipe da Rocha Henriques, Luís Tarrataca, Diego Barreto Haddad, Laura S. de Assis

Wirel. Networks, 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

Integer Programming Applied to Wireless Sensor Networks Topology Optimization.

Lucas Ferreira Pinheiro, Laura Silva de Assis, Felipe da Rocha Henriques

Proceedings of the Optimization, Learning Algorithms and Applications, 2022

2021

Evaluating Temporal Bias in Time Series Event Detection Methods.

Luciana E. G. Escobar, Rebecca Salles, Janio Lima, Cristiane Gea, Lais Baroni, Artur Ziviani, Paulo F. Pires, Flávia Coimbra Delicato, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara

J. Inf. Data Manag., 2021

2020

Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais.

Rebecca Salles, Luciana E. G. Escobar, Lais Baroni, Roccio Zorrilla, Artur Ziviani, Vincius Kreischer, Flávia Coimbra Delicato, Paulo F. Pires, Luciano Maia, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara

Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019

Efficient Volterra systems identification using hierarchical genetic algorithms.

Laura S. de Assis, Jurair R. de P. Junior, Luís Tarrataca, Diego B. Haddad

Appl. Soft Comput., 2019

Collaborative information system to find efficient routes using public transport.

Diego H. B. Zanchett, Jurair R. de P. Junior, André Felipe Monteiro, Diego B. Haddad, Laura S. de Assis

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Topology control optimization of wireless sensor networks for IoT applications.

Jorge A. G. de Brito, Jurair R. de P. Junior, Felipe da Rocha Henriques, Laura S. de Assis

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

2018

Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors.

Diego B. Haddad, Laura S. de Assis, Luís Tarrataca, Andrea da S. Gomes, Marcos Bacis Ceddia, Rosane F. Oliveira, Jurair R. de P. Junior, Diego N. Brandão

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluating the Complementarity of Communication Tools for Learning Platforms.

Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara

Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017

A Mixed Graph Framework to evaluate the complementarity of communication Tools.

Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara

PeerJ Prepr., 2017

A framework for benchmarking machine learning methods using linear models for univariate time series prediction.

Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2014

A redistricting problem applied to meter reading in power distribution networks.

Laura Silva de Assis, Paulo Morelato França, Fábio Luiz Usberti

Comput. Oper. Res., 2014