Renata De Paris

According to our database, Renata De Paris authored at least 10 papers between 2011 and 2023.

Collaborative distances:

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

2023

eXplainable Artificial Intelligence on Medical Images: A Survey.

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

CoRR, 2023

Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices.

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2020

SmartIX: A database indexing agent based on reinforcement learning.

Gabriel Paludo Licks, Júlia Mara Colleoni Couto, Priscilla de Fátima Miehe, Renata De Paris, Duncan Dubugras A. Ruiz, Felipe Meneguzzi

Appl. Intell., 2020

2018

A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model.

Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz, Furia Gargano, Osmar Norberto de Souza

BMC Bioinform., 2018

2016

An effective method to optimize docking-based virtual screening in a clustered fully-flexible receptor model deployed on cloud platforms.

Renata De Paris

PhD thesis, 2016

2015

Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments.

Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros

Comput. Intell. Neurosci., 2015

A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands.

Renata De Paris, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza

Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm.

Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models.

Christian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz, Osmar Norberto de Souza

Expert Syst. Appl., 2014

2011

A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model.

Renata De Paris, Fábio A. Frantz, Osmar Norberto de Souza, Duncan D. Ruiz

Proceedings of the Advances in Bioinformatics and Computational Biology, 2011