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2020 – today
- 2023
[c4]Vitor Lopes Fabris
, Felype de Castro Bastos, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Pedro Augusto Luiz, Rafael Custódio Silva, Renata De Paris, Claudio Filipi Gonçalves dos Santos:
Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices. CIARP 2023: 406-419- [i1]Matteus Vargas Simão da Silva, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva, Felipe Souza Tânios, Mateus Antonio Chinelatto, Natalia Backhaus Pereira, Renata De Paris, Lucas Cesar Ferreira Domingos, Rodrigo Dória Villaça, Vitor Lopes Fabris, Nayara Rossi Brito da Silva, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Fabiana Cristina Queiroz de Oliveira Marucci, Francisco Alves de Souza Neto, Danilo Xavier Silva, Vitor Yukio Kondo, Claudio Filipi Gonçalves dos Santos:
eXplainable Artificial Intelligence on Medical Images: A Survey. CoRR abs/2305.07511 (2023) - 2020
- [j4]Gabriel Paludo Licks, Júlia Mara Colleoni Couto, Priscilla de Fátima Miehe, Renata De Paris, Duncan Dubugras A. Ruiz, Felipe Meneguzzi:
SmartIX: A database indexing agent based on reinforcement learning. Appl. Intell. 50(8): 2575-2588 (2020)
2010 – 2019
- 2018
- [j3]Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz, Furia Gargano, Osmar Norberto de Souza:
A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model. BMC Bioinform. 19(1): 235:1-235:16 (2018) - 2016
- [b1]Renata De Paris:
An effective method to optimize docking-based virtual screening in a clustered fully-flexible receptor model deployed on cloud platforms. Pontifícia Universidade Católica do Rio Grande do Sul, Brazil, 2016 - 2015
- [j2]Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros:
Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Comput. Intell. Neurosci. 2015: 916240:1-916240:9 (2015) - [c3]Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp:
Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. CEC 2015: 2058-2065 - [c2]Renata De Paris, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza:
A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands. CloudCom 2015: 495-498 - 2014
- [j1]Christian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz, Osmar Norberto de Souza:
A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models. Expert Syst. Appl. 41(16): 7608-7620 (2014) - 2011
- [c1]Renata De Paris, Fábio A. Frantz, Osmar Norberto de Souza, Duncan D. Ruiz:
A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model. BSB 2011: 75-78
Coauthor Index
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