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ORCIDLaura Assis
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- affiliation: Celso Suckow da Fonseca Federal Center of Technological Education, Rio de Janeiro, Brazil
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2020 – today
- 2024
[j7]Filipe Igreja
, Pedro Carlos da S. Lara, Luís Tarrataca, Laura S. de Assis, Fernanda D. V. R. Oliveira, Ana L. F. de Barros, Diego B. Haddad:
Analyzing the LMS Weight Error Covariance Matrix: An Exact Expectation Approach. Circuits Syst. Signal Process. 43(7): 4390-4411 (2024)- [j6]Douglas de O. Cardoso, Joao Domingos Gomes da Silva Junior, Carla Silva Oliveira, Lucas C. Marques, Laura Silva de Assis:
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection. Stat. Comput. 34(4): 145 (2024) - 2023
- [j5]Gustavo Pacheco Epifanio, José Federico Vizcaino González, Fábio Luiz Usberti, Luís Tarrataca, Laura Silva de Assis:
Switch Allocation Problem in Power Distribution Systems with Distributed Generation. Oper. Res. Forum 4(3): 58 (2023) - [c12]Sarah Ribeiro Lisboa Carneiro, Michael Ferreira de Souza, Douglas de O. Cardoso, Luís Tarrataca, Laura S. de Assis:
A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem. BRACIS (1) 2023: 178-192 - [c11]Douglas de O. Cardoso, Willian P. C. Lima, Guilherme G. V. L. Silva, Laura S. de Assis:
An Approach for Probabilistic Modeling and Reasoning of Voting Networks. ICCS (3) 2023: 90-104 - [c10]Willian P. C. Lima, Lucas C. Marques, Laura S. de Assis, Douglas de O. Cardoso:
An Analysis of Political Parties Cohesion Based on Congressional Speeches. ICCS (3) 2023: 105-119 - [c9]Ryan Dutra de Abreu, Laura Silva de Assis, Douglas de O. Cardoso:
Experimental Analysis of Pipelining Community Detection and Recommender Systems. WEBIST 2023: 496-503 - 2022
- [j4]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:
Memetic algorithm applied to topology control optimization of a wireless sensor network. Wirel. Networks 28(8): 3677-3697 (2022) - [c8]Lucas Ferreira Pinheiro, Laura Silva de Assis, Felipe da Rocha Henriques:
Integer Programming Applied to Wireless Sensor Networks Topology Optimization. OL2A 2022: 246-260 - [c7]Yngwi Guimarães Vieira Souza, Luís Tarrataca, Douglas de O. Cardoso, Laura Silva de Assis:
Sentiment Analysis Applied to IBOVESPA Prediction. OL2A 2022: 373-388 - 2021
- [j3]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:
Evaluating Temporal Bias in Time Series Event Detection Methods. J. Inf. Data Manag. 12(3) (2021) - 2020
- [c6]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:
Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais. SBBD 2020: 73-84
2010 – 2019
- 2019
- [j2]Laura S. de Assis, Jurair R. de P. Junior, Luís Tarrataca, Diego B. Haddad:
Efficient Volterra systems identification using hierarchical genetic algorithms. Appl. Soft Comput. 85 (2019) - [c5]Diego H. B. Zanchett, Jurair R. de P. Junior, André Felipe Monteiro, Diego B. Haddad, Laura S. de Assis:
Collaborative information system to find efficient routes using public transport. WebMedia 2019: 473-476 - [c4]Jorge A. G. de Brito, Jurair R. de P. Junior, Felipe da Rocha Henriques, Laura S. de Assis:
Topology control optimization of wireless sensor networks for IoT applications. WebMedia 2019: 477-480 - 2018
- [c3]Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara:
Evaluating the Complementarity of Communication Tools for Learning Platforms. CSEDU (2) 2018: 142-153 - [c2]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:
Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors. IJCNN 2018: 1-8 - 2017
- [c1]Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN 2017: 2338-2345 - [i1]Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara:
A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Prepr. 5: e3114 (2017) - 2014
- [j1]Laura Silva de Assis, Paulo Morelato França, Fábio Luiz Usberti:
A redistricting problem applied to meter reading in power distribution networks. Comput. Oper. Res. 41: 65-75 (2014)
Coauthor Index
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