David Correa Martins Jr.

Affiliations:
  • University of Sao Paulo, Institute of Mathematics and Statistics, Brazil


According to our database1, David Correa Martins Jr. authored at least 36 papers between 2004 and 2022.

Collaborative distances:

Timeline

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Bibliography

2022
A Method for Computing Attractor Fields in Coupled Boolean Networks.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021
Multi-GPU Approach for Large-Scale Multiple Sequence Alignment.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2019
A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration.
Concurr. Comput. Pract. Exp., 2019

Finding Attractors in Biological Models Based on Boolean Dynamical Systems Using Hitting Set.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2017
GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis.
J. Comput. Biol., 2017

Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters.
Future Gener. Comput. Syst., 2017

2016
A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis.
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

2015
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data.
Netw. Model. Anal. Health Informatics Bioinform., 2015

Linear grouping of predictor instances to infer gene networks.
Netw. Model. Anal. Health Informatics Bioinform., 2015

One genetic algorithm per gene to infer gene networks from expression data.
Netw. Model. Anal. Health Informatics Bioinform., 2015

A Multi-GPU Hitting Set Algorithm for GRNs Inference.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks.
Inf. Sci., 2014

Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Gene Networks Inference through Linear Grouping of Variables.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Network-Based Disease Gene Prioritization by Hitting Time Analysis.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Gene Networks Inference through One Genetic Algorithm Per Gene.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013
Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables.
Inf. Sci., 2013

Gene regulatory networks inference using a multi-GPU exhaustive search algorithm.
BMC Bioinform., 2013

2012
Accelerating gene regulatory networks inference through GPU/CUDA programming.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
An iterative feature selection method for GRNs inference by exploring topological properties
CoRR, 2011

2010
U-curve: A branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem.
Pattern Recognit., 2010

SFFS-MR: A Floating Search Strategy for GRNs Inference.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

Inference of Restricted Stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Generating segmented meshes from textured color images.
J. Vis. Commun. Image Represent., 2009

Revealing temporal genetic regulatory networks from steady-state distributions.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Comparative study of GRNS inference methods based on feature selection by mutual information.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
Feature selection and intrinsically multivariate prediction in gene regulatory networks identification.
PhD thesis, 2008

Intrinsically Multivariate Predictive Genes.
IEEE J. Sel. Top. Signal Process., 2008

A branch-and-bound feature selection algorithm for U-shaped cost functions
CoRR, 2008

DimReduction - Interactive Graphic Environment for Dimensionality Reduction
CoRR, 2008

Feature selection environment for genomic applications.
BMC Bioinform., 2008

2007
A feature selection approach for identification of signature genes from SAGE data.
BMC Bioinform., 2007

2006
W-operator window design by minimization of mean conditional entropy.
Pattern Anal. Appl., 2006

2005
Automatic Window Design for Gray-Scale Image Processing Based on Entropy Minimization.
Proceedings of the Progress in Pattern Recognition, 2005

2004
W-Operator Window Design by Maximization of Training Data Information.
Proceedings of the XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004


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