Renata De Paris

12 papers B 1C 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Comparing Automatic Speech Recognition Quality for Brazilian Portuguese in Multimodal Large Models. ICAART (1) Lucas de Souza Lanaro, Gabriel K. Moraes, Pedro Augusto Luiz, Charles S. Oliveira, Pedro Henrique Rodrigues Salzani, Giovanni Carbinatti, Leonardo Feltrin, Fabiana Cristina Queiroz de Oliveira Marucci, Isabel Carolina de Lima Santos, Renata De Paris, Wandemberg Gibaut
2026	—	`conf`	Comparing RAG, DPO and Agentic Approaches in Systems Performance on Q&A about Brazilian Labor Legislation. ICAART (1) Gabriel K. Moraes, Pedro Augusto Luiz, Gabriel Dias, Vitor G. C. B. de Farias, Fabiana Cristina Queiroz de Oliveira Marucci, Vitor Lopes Fabris, Matheus H. R. Vicente, Leonardo R. do Nascimento, Charles S. Oliveira, Leonardo T. dos Santos, Renata De Paris, Wandemberg Gibaut
2023	C	`conf`	Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices. CIARP 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
2023	J	`jnl`	eXplainable Artificial Intelligence on Medical Images: A Survey. CoRR 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
2020	J	`jnl`	SmartIX: A database indexing agent based on reinforcement learning. Appl. Intell. Gabriel Paludo Licks, Júlia Mara Colleoni Couto, Priscilla de Fátima Miehe, Renata De Paris, Duncan Dubugras A. Ruiz, Felipe Meneguzzi
2018	J	`jnl`	A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model. BMC Bioinform. Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz, Furia Gargano, Osmar Norberto de Souza
2016	—	`—`	An effective method to optimize docking-based virtual screening in a clustered fully-flexible receptor model deployed on cloud platforms. Renata De Paris
2015	C	`conf`	A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands. CloudCom Renata De Paris, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza
2015	J	`jnl`	Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Comput. Intell. Neurosci. Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros
2015	B	`conf`	Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. CEC Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp
2014	J	`jnl`	A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models. Expert Syst. Appl. Christian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz, Osmar Norberto de Souza
2011	—	`conf`	A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model. BSB Renata De Paris, Fábio A. Frantz, Osmar Norberto de Souza, Duncan D. Ruiz