Adriano Velasque Werhli

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Adriano Velasque Werhli, Karina dos Santos Machado
Feature Selection Investigation in Machine Learning Docking Scoring Functions. BSB (2023)
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
Search for Zinc Complexes with High Affinity in Pyrazinamidase from Mycobacterium Tuberculosis Resistant to Pyrazinamide. BSB (2022)
Letícia Kristian Silva Cecotti, Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Karina dos Santos Machado, Adriano Velasque Werhli
A Non Exhaustive Search of Exhaustiveness. BSB (2022)
Eduardo Kenji Hasegawa de Freitas, Alex Dias Camargo, Maurício Balboni, Adriano Velasque Werhli, Karina dos Santos Machado
Ensemble of Protein Stability upon Point Mutation Predictors. BRACIS (2) (2021)
Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti
A Systematic Review to Multiagent Systems and Regulatory Networks. DCAI (2020)
Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti
Development of a Multiagent Simulator to Genetic Regulatory Networks. ISAmI (2020)
Bryan Stefan Galani Pernambuco, Cristiano Rafael Steffens, Adriano Velasque Werhli, Silvia Silva da Costa Botelho
Data Analysis Tool and Image Acquisition System for Linear Arc Weld Deposition Evaluation. INDIN (2019)
Bryan Stefan Galani Pernambuco, Cristiano Rafael Steffens, Jefferson R. Pereira, Adriano Velasque Werhli, Rodrigo Zelir Azzolin, Emanuel da Silva Diaz Estrada
Online Sound Based Arc-Welding Defect Detection Using Artificial Neural Networks. LARS/SBR/WRE (2019)
Roger Sá da Silva, Luis Fernando Marins, Daniela Volcan Almeida, Karina dos Santos Machado, Adriano Velasque Werhli
A comparison of classifiers for predicting the class color of fluorescent proteins. Comput. Biol. Chem. 83 (2019)
Átila Astor Weis, Adriano Velasque Werhli, Nelson L. Duarte Filho
Automated seam tracking system based on passive monocular vision for automated linear robotic welding process. SAC (2017)
Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli
Inference of regulatory networks with MCMC sampler guided by mutual information. SAC (2017)
Vinicius Rosa Seus, Lande Silva Jr., Jorge Gomes, Pedro E. A. da Silva, Adriano Velasque Werhli, Karina S. Machado
A framework for virtual screening. SAC (2016)
Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli
Inference of regulatory networks with a convergence improved MCMC sampler. BMC Bioinform. 16 (2015)
Pablo Werlang, Michel Q. Fagundes, Diana Francisca Adamatti, Karina Santos Machado, Andrea von Groll, Pedro E. A. da Silva, Adriano Velasque Werhli
Estimation of Parameters of Mycobacterium tuberculosis Growth: A Multi-Agent-Based Simulation Approach. IBERAMIA (2014)
Pablo Werlang, Michel Q. Fagundes, Diana Francisca Adamatti, Karina S. Machado, Andrea von Groll, Pedro E. A. da Silva, Adriano Velasque Werhli
Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth. MABS (2013)
Matheus Machado dos Santos, Mauricio G. Goulart, Giovana J. Gelatti, Karina S. Machado, Adriano Velasque Werhli, Odorico Machado Mendizabal
Parallel Algorithm for the HP Protein Folding Problem. WEIT (2013)
Thyago Salvá, Leonardo R. Emmendorfer, Adriano Velasque Werhli
Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm. BSB (2013)
Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan
An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. SBRN (2012)
M. R. Mendoza, Adriano Velasque Werhli
Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm. SBRN (2010)
Adriano Velasque Werhli
Bayesian Network Structure Inference with an Hierarchical Bayesian Model. SBIA (2010)
Adriano Velasque Werhli, Dirk Husmeier
Gene Regulatory Network Reconstruction by Bayesian Integration of Prior Knowledge and/or Different Experimental Conditions. J. Bioinform. Comput. Biol. 6 (3) (2008)
Adriano Velasque Werhli, Marco Grzegorczyk, Dirk Husmeier
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks. Bioinform. 22 (20) (2006)

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Publication Activity (10 Years)

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Adriano Velasque Werhli