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ORCIDAdriano Velasque Werhli
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2020 – today
- 2024
[c19]Oscar Emilio Arrúa Arce, Andrej Aderhold, Adriano Velasque Werhli, Karina dos Santos Machado:
RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking. CIBCB 2024: 1-8- 2023
- [c18]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: 58-69 - 2022
- [c17]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: 97-108 - [c16]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: 109-120 - 2021
- [c15]Eduardo Kenji Hasegawa de Freitas, Alex Dias Camargo, Maurício Dorneles Caldeira Balboni, Adriano Velasque Werhli, Karina dos Santos Machado:
Ensemble of Protein Stability upon Point Mutation Predictors. BRACIS (2) 2021: 73-88 - 2020
- [c14]Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti:
A Systematic Review to Multiagent Systems and Regulatory Networks. DCAI 2020: 231-240 - [c13]Nilzair Barreto Agostinho, Adriano Velasque Werhli, Diana Francisca Adamatti:
Development of a Multiagent Simulator to Genetic Regulatory Networks. ISAmI 2020: 279-283
2010 – 2019
- 2019
- [j4]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) - [c12]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: 1177-1184 - [c11]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: 263-268 - 2017
- [c10]Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli:
Inference of regulatory networks with MCMC sampler guided by mutual information. SAC 2017: 18-23 - [c9]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: 300-302 - 2016
- [c8]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: 31-36 - 2015
- [j3]Nilzair M. Barreto, Karina S. Machado, Adriano Velasque Werhli:
Inference of regulatory networks with a convergence improved MCMC sampler. BMC Bioinform. 16: 306:1-306:10 (2015) - 2014
- [c7]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: 599-610 - 2013
- [c6]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: 131-142 - [c5]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: 72-77 - [c4]Thyago Salvá, Leonardo R. Emmendorfer, Adriano Velasque Werhli:
Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm. BSB 2013: 148-159 - 2012
- [c3]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: 67-72 - 2010
- [c2]Adriano Velasque Werhli:
Bayesian Network Structure Inference with an Hierarchical Bayesian Model. SBIA 2010: 92-101 - [c1]M. R. Mendoza, Adriano Velasque Werhli:
Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm. SBRN 2010: 91-96
2000 – 2009
- 2008
- [j2]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): 543-572 (2008) - 2007
- [b1]Adriano Velasque Werhli:
Reconstruction of gene regulatory networks from postgenomic data. University of Edinburgh, UK, 2007 - 2006
- [j1]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): 2523-2531 (2006)
Coauthor Index
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