Ronaldo Fumio Hashimoto

发表

Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations

Michael L. Bittner, Edward R. Dougherty, Ronaldo Fumio Hashimoto, 2003, Signal Process..

Analytical Solutions for the Minkowski Addition Equation

Junior Barrera, Ronaldo Fumio Hashimoto, Joel Edu Sánchez Castro, 2013, ISMM.

Ultimate Leveling Based on Mumford-Shah Energy Functional Applied to Plant Detection

Ronaldo Fumio Hashimoto, Charles F. Gobber, Wonder Alexandre Luz Alves, 2017, CIARP.

Ultimate Levelings with Strategy for Filtering Undesirable Residues Based on Machine Learning

Ronaldo Fumio Hashimoto, Beatriz Marcotegui, Wonder Alexandre Luz Alves, 2019, ISMM.

Compact representation of W-operators

Junior Barrera, Ronaldo Fumio Hashimoto, 1998, Electronic Imaging.

From the Sup-Decomposition to A Sequential Decomposition

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2000, ISMM.

Granulometric classifiers from small samples

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2002, IS&T/SPIE Electronic Imaging.

Binary Decision Diagrams as a New Paradigm for Morphological Machines

Junior Barrera, Ronaldo Fumio Hashimoto, 2005, ISMM.

Inference of Restricted Stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria

David Correa Martins, Ronaldo Fumio Hashimoto, Vitor H. P. Louzada, 2010, CIARP.

A Greedy Algorithm for Decomposing Convex Structuring Elements

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

Evaluation of the Impact of Initial Positions obtained by Clustering Algorithms on the Straight Line Segments Classifier

Ronaldo Fumio Hashimoto, Rosario Medina Rodríguez, Cesar Beltran-Castanon, 2018, 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Incremental and Efficient Computation of Families of Component Trees

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Alexandre Morimitsu, 2015, ISMM.

The effect of certain Boolean functions in stability of networks with varying topology

Ronaldo Fumio Hashimoto, Fabrício Martins Lopes, Vitor H. P. Louzada, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

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

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

Growing Seed Genes from Time Series Data and Thresholded Boolean Networks with Perturbation

Ronaldo Fumio Hashimoto, Carlos H. A. Higa, Tales P. Andrade, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Scale-Space Representation Based on Levelings Through Hierarchies of Level Sets

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Alexandre Morimitsu, 2015, ISMM.

Efficient component-hypertree construction based on hierarchy of partitions

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Alexandre Morimitsu, 2020, Pattern Recognit. Lett..

Extraction of Numerical Residues in Families of Levelings

Ronaldo Fumio Hashimoto, Joel Edu Sánchez Castro, Wonder Alexandre Luz Alves, 2013, 2013 XXVI Conference on Graphics, Patterns and Images.

Improvement of GNs inference through biological data integration

Ronaldo Fumio Hashimoto, Fabrício Martins Lopes, Fábio Fernandes da Rocha Vicente, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

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..

Ultimate levelings

Ronaldo Fumio Hashimoto, Beatriz Marcotegui, Wonder Alexandre Luz Alves, 2017, Comput. Vis. Image Underst..

Revealing temporal genetic regulatory networks from steady-state distributions

David Correa Martins, Roberto Marcondes Cesar Junior, Ronaldo Fumio Hashimoto, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Jump-Miss Binary Erosion Algorithm

Ronaldo Fumio Hashimoto, Anderson Fraiha Machado, 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.

Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening

Sidnei Alves de Araújo, Ronaldo Fumio Hashimoto, Charles F. Gobber, 2016, ICIAR.

Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies

Ronaldo Fumio Hashimoto, Beatriz Marcotegui, Wonder Alexandre Luz Alves, 2020, Pattern Recognit. Lett..

From the Sup-Decomposition to Sequential Decompositions

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

A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments

Ronaldo Fumio Hashimoto, João Henrique Burckas Ribeiro, 2008, 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing.

Analysis of Gene Interactions Using Restricted Boolean Networks and Time-Series Data

Ronaldo Fumio Hashimoto, Vitor H. P. Louzada, Carlos H. A. Higa, 2010, ISBRA.

Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network

Ronaldo Fumio Hashimoto, Henrique Stagni, Carlos H. A. Higa, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings

Ronaldo Fumio Hashimoto, Charles F. Gobber, Wonder Alexandre Luz Alves, 2018, ICIAR.

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).

Ultimate grain filter

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, R. F. Hashimoto, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

A New Machine Learning Technique Based on Straight Line Segments

Ronaldo Fumio Hashimoto, João Henrique Burckas Ribeiro, R. F. Hashimoto, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

Feature selection algorithms to find strong genes

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2005, Pattern Recognit. Lett..

Classification of regions extracted from scene images by morphological filters in text or non-text using decision tree

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, 2010 .

A Note on Park and Chin's Algorithm

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

Is cross-validation better than resubstitution for ranking genes?

Edward R. Dougherty, Ulisses Braga-Neto, Ronaldo Fumio Hashimoto, 2004, Bioinform..

Intrinsically Multivariate Predictive Genes

David Correa Martins, Michael L. Bittner, Edward R. Dougherty, 2008, IEEE Journal of Selected Topics in Signal Processing.

Text Regions Extracted from Scene Images by Ultimate Attribute Opening and Decision Tree Classification

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, 2010, 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images.

Incremental Attribute Computation in Component-Hypertrees

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Charles Ferreira Gobber, 2019, ISMM.

Incremental bit-quads count in component trees: Theory, algorithms, and optimization

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Dennis José da Silva, 2020, Pattern Recognit. Lett..

Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Segmentation of Microarray Images by Mathematical Morphology

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

Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables

David Correa Martins, Roberto Marcondes Cesar Junior, Ulisses Braga-Neto, 2013, Inf. Sci..

Network-Based Disease Gene Prioritization by Hitting Time Analysis

David Correa Martins, Guilherme Oliveira Mota, Ronaldo Fumio Hashimoto, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Pattern Recognition Based on Straight Line Segments

Ronaldo Fumio Hashimoto, Joao Henrique Burckas Ribeiro, 2010 .

Microarray gridding by mathematical morphology

Junior Barrera, Ronaldo Fumio Hashimoto, Roberto Hirata, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Set Operations on Closed Intervals and their Applications to the Automatic Programming of MMach's

Junior Barrera, Ronaldo Fumio Hashimoto, Guillermo Pablo Salas, 1996, ISMM.

Surface Texture Classification from Morphological Transformations

Ronaldo Fumio Hashimoto, Dominique Jeulin, Antoine Aubert, 2000, ISMM.

Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains

Ronaldo Fumio Hashimoto, Nina Sumiko Tomita Hirata, Roberto Hirata, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Efficient incremental computation of attributes based on locally countable patterns in component trees

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Alexandre Morimitsu, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

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 Monte Carlo approach to measure the robustness of Boolean networks

Ronaldo Fumio Hashimoto, Fabrício Martins Lopes, Vitor H. P. Louzada, 2012, BCB.

Combining Dialectical Optimization and Gradient Descent Methods for Improving the Accuracy of Straight Line Segment Classifiers

Ronaldo Fumio Hashimoto, Rosario Medina Rodríguez, 2011, 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images.

Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases

David Correa Martins, Ronaldo Fumio Hashimoto, Helena Brentani, 2012, BCB.

Incremental Bit-Quads Count in Tree of Shapes

Ronaldo Fumio Hashimoto, Wonder Alexandre Luz Alves, Charles Ferreira Gobber, 2019, ISMM.

A structural PGN model for control of cell-cycle Progression

Michael L. Bittner, Junior Barrera, Ronaldo Fumio Hashimoto, 2007, ISMM.

Growing genetic regulatory networks from seed genes

Michael L. Bittner, Edward R. Dougherty, Ronaldo Fumio Hashimoto, 2004, Bioinform..

Minimal Component-Hypertrees

Ronaldo Fumio Hashimoto, Charles F. Gobber, Wonder Alexandre Luz Alves, 2019, DGCI.

An Approach to Growth Delimitation of Straight Line Segment Classifiers Based on a Minimum Bounding Box

Ronaldo Fumio Hashimoto, Rosario Medina Rodríguez, Cesar Beltran-Castanon, 2021, Entropy.