Adriano Velasque Werhli

According to our database, Adriano Velasque Werhli authored at least 24 papers between 2006 and 2024.

Collaborative distances:

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

2024

RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking.

Oscar Emilio Arrúa Arce, Andrej Aderhold, Adriano Velasque Werhli, Karina dos Santos Machado

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023

Feature Selection Investigation in Machine Learning Docking Scoring Functions.

Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Adriano Velasque Werhli, Karina dos Santos Machado

Proceedings of the Advances in Bioinformatics and Computational Biology, 2023

2022

A Non Exhaustive Search of Exhaustiveness.

Letícia Kristian Silva Cecotti, Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Karina dos Santos Machado, Adriano Velasque Werhli

Proceedings of the Advances in Bioinformatics and Computational Biology, 2022

Search for Zinc Complexes with High Affinity in Pyrazinamidase from Mycobacterium Tuberculosis Resistant to Pyrazinamide.

Jesus Alvarado-Huayhuaz, Daniel Alonso Talaverano-Rojas, Reneé Isabel Huamán Quispe, Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Adriano Velasque Werhli, Karina dos Santos Machado, Ana Cecilia Valderrama-Negrón

Proceedings of the Advances in Bioinformatics and Computational Biology, 2022

2021

Ensemble of Protein Stability upon Point Mutation Predictors.

Eduardo Kenji Hasegawa de Freitas, Alex Dias Camargo, Maurício Dorneles Caldeira Balboni, Adriano Velasque Werhli, Karina dos Santos Machado

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Development of a Multiagent Simulator to Genetic Regulatory Networks.

Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti

Proceedings of the Ambient Intelligence - Software and Applications, 2020

A Systematic Review to Multiagent Systems and Regulatory Networks.

Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti

Proceedings of the Distributed Computing and Artificial Intelligence, 2020

2019

A comparison of classifiers for predicting the class color of fluorescent proteins.

Roger Sá da Silva, Luis Fernando Marins, Daniela Volcan Almeida, Karina dos Santos Machado, Adriano Velasque Werhli

Comput. Biol. Chem., 2019

Online Sound Based Arc-Welding Defect Detection Using Artificial Neural Networks.

Bryan Stefan Galani Pernambuco, Cristiano Rafael Steffens, Jefferson R. Pereira, Adriano Velasque Werhli, Rodrigo Zelir Azzolin, Emanuel da Silva Diaz Estrada

Proceedings of the Latin American Robotics Symposium, 2019

Data Analysis Tool and Image Acquisition System for Linear Arc Weld Deposition Evaluation.

Bryan Stefan Galani Pernambuco, Cristiano Rafael Steffens, Adriano Velasque Werhli, Silvia Silva da Costa Botelho

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2017

Automated seam tracking system based on passive monocular vision for automated linear robotic welding process.

Átila Astor Weis, Adriano Velasque Werhli, Nelson L. Duarte Filho

Proceedings of the Symposium on Applied Computing, 2017

Inference of regulatory networks with MCMC sampler guided by mutual information.

Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli

Proceedings of the Symposium on Applied Computing, 2017

2016

A framework for virtual screening.

Vinicius Rosa Seus, Lande Silva Jr., Jorge Gomes, Pedro E. A. da Silva, Adriano Velasque Werhli, Karina S. Machado

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2015

Inference of regulatory networks with a convergence improved MCMC sampler.

Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli

BMC Bioinform., 2015

2014

Estimation of Parameters of Mycobacterium tuberculosis Growth: A Multi-Agent-Based Simulation Approach.

Pablo Werlang, Michel Q. Fagundes, Diana Francisca Adamatti, Karina Santos Machado, Andrea von Groll, Pedro E. A. da Silva, Adriano Velasque Werhli

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2013

Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm.

Thyago Salvá, Leonardo R. Emmendorfer, Adriano Velasque Werhli

Proceedings of the Advances in Bioinformatics and Computational Biology, 2013

Parallel Algorithm for the HP Protein Folding Problem.

Matheus Machado dos Santos, Mauricio G. Goulart, Giovana J. Gelatti, Karina S. Machado, Adriano Velasque Werhli, Odorico Machado Mendizabal

Proceedings of the 2nd Workshop-School on Theoretical Computer Science, 2013

Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth.

Pablo Werlang, Michel Q. Fagundes, Diana Francisca Adamatti, Karina S. Machado, Andrea von Groll, Pedro E. A. da Silva, Adriano Velasque Werhli

Proceedings of the Multi-Agent-Based Simulation XIV - International Workshop, 2013

2012

An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference.

Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

2010

Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm.

M. R. Mendoza, Adriano Velasque Werhli

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Bayesian Network Structure Inference with an Hierarchical Bayesian Model.

Adriano Velasque Werhli

Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

2008

Gene Regulatory Network Reconstruction by Bayesian Integration of Prior Knowledge and/or Different Experimental Conditions.

Adriano Velasque Werhli, Dirk Husmeier

J. Bioinform. Comput. Biol., 2008

2007

Reconstruction of gene regulatory networks from postgenomic data.

Adriano Velasque Werhli

PhD thesis, 2007

2006

Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.

Adriano Velasque Werhli, Marco Grzegorczyk, Dirk Husmeier

Bioinform., 2006