J. Barrera

发表

Minimal representations for translation-invariant set mappings by mathematical morphology

G. Banon, J. Barrera, 1991 .

Automatic programming of binary morphological machines by PAC learning

Junior Barrera, Routo Terada, Flavio S. Correa da Silva, 1995, Optics + Photonics.

A NEW ANNOTATION TOOL FOR MALARIA BASED ON INFERENCE OF PROBABILISTIC GENETIC NETWORKS

F. Leonardi, R. Cesar, E. F. Merino, 2004 .

Pattern Recognition Methods for Gene Expression Analysis

Daniel Oliveira Dantas, R. Cesar, J. Barrera, 2006 .

ON MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL PROCESSING

J. Barrera, Gerald Jean, Francis Banonl, 2015 .

Computing a Predictor Set Influence Zone through a Multi-Layer Genetic Network to Explore the Role of Estrogen in Breast Cancer

J. Barrera, M. Brentani, H. Brentani, 2012 .

Granulometric Classiflers from Small Samples

E. Dougherty, J. Barrera, Seungchan Kim, 2002 .

Set mapping decomposition by mathematical morphology

J. Barrera, Gerald Jean, Francis Banon, 2000 .

Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs

J. Barrera, S. D. de Souza, G. Suarez-Kurtz, 2018, Scientific Reports.

A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data

J. Barrera, S. D. de Souza, M. Gubitoso, 2015, Cancer informatics.

Aperture " lters

E. Dougherty, J. Barrera, R. Hirata, 2000 .

A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states

J. Barrera, Martha Torres, 2004 .

DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO Relatório Técnico RT-MAC-9403 A Mathematical Morphology Toolbox for the KHOROS System

R. Lotufo, J. Barrera, Gerald Jean, 2015 .

The role of prior information and computational power in Machine Learning

J. Barrera, Adilson Simonis, D. Marcondes, 2022, ArXiv.

An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway.

J. Barrera, Matheus H. Dias, M. Reis, 2017, Methods in molecular biology.

A fast Branch-and-Bound algorithm for U-curve feature selection

Edward R. Dougherty, Junior Barrera, Ulisses Braga-Neto, 2018, Pattern Recognit..

Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs

J. Barrera, S. D. de Souza, G. Suarez-Kurtz, 2018, Scientific Reports.

High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI)

Junior Barrera, Nina Sumiko Tomita Hirata, Martha Torres, 2002, IS&T/SPIE Electronic Imaging.

Inference from Clustering with Application to Gene-Expression Microarrays

Roberto Marcondes Cesar Junior, Michael L. Bittner, Edward R. Dougherty, 2002, J. Comput. Biol..

A pattern-oriented specification of gene network inference processes

Junior Barrera, Cléver Ricardo Guareis de Farias, Nestor Walter Trepode, 2013, Comput. Biol. Medicine.

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

David Correa Martins, Junior Barrera, Marcelo Ris, 2010, Pattern Recognit..

A branch-and-bound feature selection algorithm for U-shaped cost functions pdf

David Correa Martins, Junior Barrera, Marcelo Ris, 2008, ArXiv.

Segmentation of Microarray Images by Mathematical Morphology

Junior Barrera, Ronaldo Fumio Hashimoto, Roberto Hirata, 2002, Real Time Imaging.

Strong Feature Sets from Small Samples

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 2002, J. Comput. Biol..

A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks

Michael L. Bittner, Junior Barrera, Ronaldo Fumio Hashimoto, 2007, EURASIP J. Bioinform. Syst. Biol..

An environment for knowledge discovery in biology

Roberto Marcondes Cesar Junior, Junior Barrera, Marco Dimas Gubitoso, 2004, Comput. Biol. Medicine.

Finding robust linear expression-based classifiers

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 2001, SPIE BiOS.

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

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2014, Inf. Sci..

Gene Networks Inference through Linear Grouping of Variables

David Correa Martins, Junior Barrera, Carlos Fernando Montoya-Cubas, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Linear grouping of predictor instances to infer gene networks

Carlos Fernando Montoya-Cubas, J. Barrera, D. Martins, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Modeling Cancer: Integration of "omics" Information in Dynamic Systems

Junior Barrera, Lucila Ohno-Machado, Beatriz Stransky, 2007, J. Bioinform. Comput. Biol..

An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection

Carlos Eduardo Ferreira, Junior Barrera, Marco Dimas Gubitoso, 2020, Entropy.

Optimal Boolean lattice-based algorithms for the U-curve optimization problem

Carlos Eduardo Ferreira, Junior Barrera, Marcelo da Silva Reis, 2019, Inf. Sci..

Set Operator Decomposition and Conditionally Translation Invariant Elementary Operators

Junior Barrera, Gerald Jean Francis Banon, G. Banon, 1994, ISMM.

Automatic Window Design for Gray-Scale Image Processing Based on Entropy Minimization

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2005, CIARP.

A parallel algorithm for enumerating combinations

Junior Barrera, Alfredo Goldman, Martha Torres, 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

Pattern Recognition Theory in Nonlinear Signal Processing

Edward R. Dougherty, Junior Barrera, E. Dougherty, 2002, Journal of Mathematical Imaging and Vision.

Design of optimal binary filters under joint multiresolution-envelope constraint

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2003, Pattern Recognit. Lett..

Multiresolution Design of Aperture Operators

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2002, Journal of Mathematical Imaging and Vision.

Image restoration by multiresolution nonlinear filters

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, IS&T/SPIE Electronic Imaging.

Multiresolution Analysis for Optimal Binary Filters

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, Journal of Mathematical Imaging and Vision.

Iterative design of morphological binary image operators

Edward R. Dougherty, Junior Barrera, Nina S. T. Hirata, 2000 .

Hybrid human-machine binary morphological operator design. An independent constraint approach

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2000, Signal Process..

Multiresolution Bayesian design of binary filters

Edward R. Dougherty, Junior Barrera, Vishnu G. Kamat, 2000, J. Electronic Imaging.

Bayesian multiresolution filter design

Edward R. Dougherty, Junior Barrera, Vishnu G. Kamat, 2000, Electronic Imaging.

Some Applications of Aperture Filters

Edward R. Dougherty, Junior Barrera, Roberto Hirata, 2000, ISMM.

Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 1997, J. Electronic Imaging.

Morphological operators for segmentation of color sequences

Junior Barrera, Roberto de Alencar Lotufo, Franklin César Flores, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

An iterative feature selection method for GRNs inference by exploring topological properties pdf

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2011, ArXiv.

Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection pdf

Junior Barrera, Diego Marcondes, Adilson Simonis, 2021, ArXiv.

Learning the Hypotheses Space from data Part I: Learning Space and U-curve Property pdf

Junior Barrera, Diego Marcondes, Adilson Simonis, 2020, ArXiv.

Feature Selection based on the Local Lift Dependence Scale

Junior Barrera, Diego Marcondes, Adilson Simonis, 2017, Entropy.

A feature selection approach for identification of signature genes from SAGE data

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2007, BMC Bioinformatics.

Constructing Probabilistic Genetic Networks of Plasmodium falciparum from Dynamical Expression Signals of the Intraerythrocytic Development Cycle

David Correa Martins, Junior Barrera, Ricardo Z. N. Vêncio, 2007 .

A Note on Park and Chin's Algorithm

Junior Barrera, Ronaldo Fumio Hashimoto, J. Barrera, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

A Greedy Algorithm for Decomposing Convex Structuring Elements

Junior Barrera, Ronaldo Fumio Hashimoto, J. Barrera, 2003, Journal of Mathematical Imaging and Vision.

Aperture filters

Edward R. Dougherty, Junior Barrera, Roberto Hirata, 2000, Signal Process..

A simple algorithm for decomposing convex structuring elements

Junior Barrera, Ronaldo Fumio Hashimoto, J. Barrera, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

From Mathematical Morphology to machine learning of image operators

J. Barrera, R. Hirata, R. F. Hashimoto, 2022, São Paulo Journal of Mathematical Sciences.

Learning the Hypotheses Space from data Part II: Convergence and Feasibility

J. Barrera, Adilson Simonis, D. Marcondes, 2020, ArXiv.

Learning the Hypotheses Space from data: Learning Space and U-curve Property

Junior Barrera, Diego Marcondes, Adilson Simonis, 2020, 2001.09532.

Solving Problems in Mathematical Morphology through Reductions to the U-Curve Problem

Junior Barrera, Marcelo da Silva Reis, J. Barrera, 2013, ISMM.

An Exact Algorithm for Optimal MAE Stack Filter Design

Domingos Dellamonica, Junior Barrera, Paulo J. S. Silva, 2007, IEEE Transactions on Image Processing.

A unifying view for stack filter design based on graph search methods

Junior Barrera, Nina Sumiko Tomita Hirata, J. Barrera, 2005, Pattern Recognit..

Nonlinear Filter Design Using Envelopes

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2004, Journal of Mathematical Imaging and Vision.

Sup-Compact and Inf-Compact Representations of W-Operators

Junior Barrera, Ronaldo Fumio Hashimoto, J. Barrera, 2001, Fundam. Informaticae.

From the Sup-Decomposition to Sequential Decompositions

Junior Barrera, Ronaldo Fumio Hashimoto, J. Barrera, 2001, Journal of Mathematical Imaging and Vision.

A Combinatorial Optimization Technique for the Sequential Decomposition of Erosions and Dilations

Carlos Eduardo Ferreira, Junior Barrera, Ronaldo Fumio Hashimoto, 2000, Journal of Mathematical Imaging and Vision.

A switching algorithm for design of optimal increasing binary filters over large windows

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 2000, Pattern Recognit..

Design of statistically optimal stack filters

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

OCR based on mathematical morphology

Junior Barrera, Roberto de Alencar Lotufo, Francisco de Assis Zampirolli, 1998, Electronic Imaging.

Set operations on closed intervals and their applications to the automatic programming of morphological machines

Junior Barrera, Guillermo Pablo Salas, J. Barrera, 1996, J. Electronic Imaging.

Mathematical morphology toolbox for the KHOROS system

Junior Barrera, Roberto de Alencar Lotufo, Gerald Jean Francis Banon, 1994, Optics & Photonics.

Decomposition of mappings between complete lattices by mathematical morphology, Part I. General lattices

Junior Barrera, Gerald Jean Francis Banon, G. Banon, 1993, Signal Process..

featsel: A framework for benchmarking of feature selection algorithms and cost functions

Junior Barrera, Marcelo da Silva Reis, Gustavo Estrela, 2017, SoftwareX.

THE INCREMENTAL SPLITTING OF INTERVALS ALGORITHM FOR THE DESIGN OF BINARY IMAGE OPERATORS

J. Barrera, R. Terada, N. Hirata, 2002 .

Automatic Programming of Morphological Machines by PAC Learning

Junior Barrera, Nina Sumiko Tomita Hirata, Roberto Hirata, 2000, Fundam. Informaticae.

MMach: a mathematical morphology toolbox for the KHOROS system

Junior Barrera, Roberto de Alencar Lotufo, Roberto Hirata, 1998, J. Electronic Imaging.