Instituto de Matemática e Estatística da USP

Ronaldo Fumio Hashimoto

Possui graduação em Bacharelado Em Física pela Universidade de São Paulo (1988), mestrado em Ciências da Computação pela Universidade de São Paulo (1994) e doutorado em Ciências da Computação pela Universidade de São Paulo (2000). Atualmente é professor Livre-Docente (Associado 3) da Universidade de São Paulo. Tem experiência na área de Ciência da Computação, com ênfase em Processamento Gráfico (Graphics), atuando principalmente nos seguintes temas: machine learning, biological networks, boolean networks, hierarchical image representation, mathematical morphology. (Texto informado pelo autor)

  • http://lattes.cnpq.br/9283304583756076 (21/01/2025)
  • Rótulo/Grupo:
  • Bolsa CNPq:
  • Período de análise:
  • Endereço: Universidade de São Paulo, Instituto de Matemática e Estatística, Departamento de Ciência da Computação. Rua do Matão 1010 - Sala 220 - CCSL Cidade Universitária 05508090 - São Paulo, SP - Brasil Telefone: (11) 30916495 Fax: (11) 30916134 URL da Homepage: http://www.ime.usp.br/~ronaldo
  • Grande área: Ciências Exatas e da Terra
  • Área: Ciência da Computação
  • Citações: Google Acadêmico

Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

Prêmios e títulos

Participação em eventos

Organização de eventos

Lista de colaborações


Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

Prêmios e títulos

  • Total de prêmios e títulos (5)
    1. Prêmio de melhor Poster (Shortest Paths Ranking Methodology to Identify Alterations in PPI Networks of Complex Diseases), ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012).. 2012.
      Membro: Ronaldo Fumio Hashimoto.
    2. 10 melhores dissertações de mestrado em Ciência da Computação (como orientador), XXII Concurso de Teses e Dissertações da SBC (CTD 2009).. 2009.
      Membro: Ronaldo Fumio Hashimoto.
    3. Terceiro Lugar na Olimpiadas USP de Inovacao, Agencia USP de Inovaçao.. 2008.
      Membro: Ronaldo Fumio Hashimoto.
    4. Prêmio de melhor Poster (Considerations on Using COD for Inference of Gene Regulation Networks), The 4th International Conference of The AB3C (XMeeting 2008).. 2008.
      Membro: Ronaldo Fumio Hashimoto.
    5. Bolsa UOL de Pesquisa, UOL (Universo On Line).. 2007.
      Membro: Ronaldo Fumio Hashimoto.

Participação em eventos

  • Total de participação em eventos (29)
    1. International Conference on Discrete Geometry for Computer Imagery (DGCI 2019). Minimal Component-Hypertrees. 2019. (Congresso).
    2. International Symposium on Mathematical Morphology (ISMM 2019).Incremental Attribute Computation in Component-Hypertrees. 2019. (Simpósio).
    3. WB2016 - Workshop de Bioinformática da UTFPR.Uma abordagem de integração de dados de redes de interação proteína-proteína e expressão gênica para priorizar genes relacionados a doenças complexas.. 2016. (Oficina).
    4. International Symposium on Mathematical Morphology (ISMM 2015). Scale-Space Representation Based on Levelings Through Hierarchies of Level Sets. 2015. (Congresso).
    5. International Symposium on Mathematical Morphology (ISMM 2015). Incremental and Efficient Computation of Families of Component Trees. 2015. (Congresso).
    6. XMeeting 2015 - 11th International Conference of th AB3C. 2015. (Congresso).
    7. 2014 IEEE International Conference on Image Processing (ICIP). Ultimate Grain Filter. 2014. (Congresso).
    8. 11th International Symposium on Mathematical Morphology.Analytical Solutions for the Minkowski Addition Equation. 2013. (Simpósio).
    9. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. A Monte Carlo Approach to Measure the Robustness of Boolean Networks. 2012. (Congresso).
    10. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. Shortest Paths Ranking Methodology to Identify Alterations in PPI Networks of Complex Diseases. 2012. (Congresso).
    11. 9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).Improvement of GNs inference through biological data integration. 2011. (Oficina).
    12. 9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).The effect of certain Boolean functions in stability of networks with varying topology. 2011. (Oficina).
    13. Microsoft Research Latin American Faculty Summit 2011. 2011. (Encontro).
    14. Workshop Anual do Instituto Virtual FAPESP-Microsoft Research.Data Integration in Systems Biology: Characterization of Biological Phenomena from Structural and Functional Information. 2011. (Oficina).
    15. 6th International Symposium on Bioinformatics Research and Applications.Analysis of Gene Interactions using Restricted Boolean Networks and Time-Series Data. 2010. (Simpósio).
    16. GENSIPS 2009.Revealing Temporal Genetic Regulatory Networks from Steady-State Distributions. 2009. (Oficina).
    17. XXII Brazilian Symposium on Computer Graphics and Image Processing. Jump-Miss Binary Erosion Algorithm. 2009. (Congresso).
    18. XXIX Congresso da Sociedade Brasileira de Computação. Erosões e Dilatações Morfológicas. 2009. (Congresso).
    19. SIBGRAPI 2008. A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments. 2008. (Congresso).
    20. X Meeting 2008. Cell-Cycle Process and Regulatory Power of Canalizing Genes Modeled by Context-Sensitive Probabilistic Boolean Networks. 2008. (Congresso).
    21. International Symposium on Mathematical Morphology.Efficient Binary Erosion Algorithm Based on a String-Matching-Like Technique. 2007. (Simpósio).
    22. X Meeting 2007. Modeling Yeast Cell-Cycle with Context Probabilistic Boolean Network. 2007. (Congresso).
    23. Fifth International Conference on Machine Learning and Applications (ICMLA 2006). A New Machine Learning Technique Based on Straight Line Segments. 2006. (Congresso).
    24. Searching for Genes Involved in Novel Mechanisms of Tumor Cell Death Triggered by FGF2: Introducing New Methodological Approaches. 14th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2006). 2006. (Congresso).
    25. X Meeting 2005. Intrinsically Multivariately Predictive Genes. 2005. (Congresso).
    26. International Congress on Bioinformatics and Computational Biology. Building Small Subnetworks from Seed Genes. 2004. (Congresso).
    27. International Conference on Bioinformatics and Computational Biology. Feature Selection Based on Incremental Determinations. 2003. (Congresso).
    28. First Workshop on Probabilistic Boolean Networks in Genomic Signal Processing.Design of Probabilistic Boolean Networks from Seed Networks. 2002. (Oficina).
    29. Photonics West 2002 - Image Processing: Algorithms and Systems. Granulometric Classifiers from Small Samples. 2002. (Congresso).

Organização de eventos

  • Total de organização de eventos (5)
    1. HASHIMOTO, R. F.; MITRA, P. ; SWARNKAR, T.. International Conference on Ambient Intelligence in Health Care (ICAIHC 2022). 2022. Congresso
    2. HASHIMOTO, R. F.. XMeeting 2015 - 11th International Conference of th AB3C. 2015. (Congresso).. . 0.
    3. Hashimoto, Ronaldo F. 10th IEEE International Conference on e-Science 2014. 2014. (Congresso).. . 0.
    4. HASHIMOTO, R. F.. 15th Iberoamerican Congress on Pattern Recognition (CIARP 2010). 2010. (Congresso).. . 0.
    5. HASHIMOTO, R. F.. Simpósio Internacional de Iniciação Científica da Universidade de São Paulo. 2006. (Congresso).. . 0.

Lista de colaborações

  • Colaborações endôgenas (13)
    • Ronaldo Fumio Hashimoto ⇔ Ronaldo Fumio Hashimoto (105.0)
      1. ALVES, WONDER A.L. ; CAMPOS, WANDER S. ; Gobber, Charles F. ; SILVA, DENNIS J. ; HASHIMOTO, RONALDO F.. Multichannel image classification based on adaptive attribute profiles. PATTERN RECOGNITION LETTERS. v. 187, p. 107-114, 2025. Qualis: A2
      2. SILVA, DENNIS J. ; KOSINKA, JI'Í ; HASHIMOTO, RONALDO F. ; ROERDINK, JOS B.T.M. ; MORIMITSU, ALEXANDRE ; ALVES, WONDER A.L.. Incremental component tree contour computation. PATTERN RECOGNITION LETTERS. v. 187, p. 115-121, 2025. Qualis: A2
      3. GUPTA, SHANTANU ; SILVEIRA, DANER A. ; MOMBACH, JOSÉ CARLOS M. ; HASHIMOTO, RONALDO F.. DNA Damage-Induced Ferroptosis: A Boolean Model Regulating p53 and Non-Coding RNAs in Drug Resistance. PROTEOMES. v. 13, p. 6, 2025. Qualis: B3
      4. GUPTA, SHANTANU ; SILVEIRA, DANER A. ; LORENZONI, PEDRO R. ; MOMBACH, JOSE CARLOS M. ; HASHIMOTO, RONALDO F.. LncRNA PTENP1/miR-21/PTEN Axis Modulates EMT and Drug Resistance in Cancer: Dynamic Boolean Modeling for Cell Fates in DNA Damage Response. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. v. 25, p. 8264, 2024. Qualis: A2
      5. DOS SANTOS, BENEDITO M. ; PECENIN, MATEUS F. ; BORGES-PEREIRA, LUCAS ; SPRINGER, ERIC ; PRZYBORSKI, JUDE M. ; MARTINS-JR, DAVID C. ; HASHIMOTO, RONALDO F. ; GARCIA, CÉLIA R.S.. The genetically encoded calcium indicator GCaMP3 reveals spontaneous calcium oscillations at asexual stages of the human malaria parasite Plasmodium falciparum. MOLECULAR AND BIOCHEMICAL PARASITOLOGY. v. 260, p. 111650, 2024. Qualis: A4
      6. GUPTA, SHANTANU ; PANDA, PRITAM KUMAR ; SILVEIRA, DANER A. ; AHUJA, RAJEEV ; HASHIMOTO, RONALDO F.. Quadra-Stable Dynamics of p53 and PTEN in the DNA Damage Response. Cells. v. 12, p. 1085, 2023. Qualis: A1
      7. GUPTA, SHANTANU ; SILVEIRA, DANER A ; HASHIMOTO, RONALDO F.. Boolean Model of the Oncogene Role of FAM111B in Lung Adenocarcinoma. COMPUTATIONAL BIOLOGY AND CHEMISTRY. v. 107926, p. 107926, 2023. Qualis: A3
      8. GUPTA, SHANTANU ; SILVEIRA, DANER A. ; MOMBACH, JOSÉ CARLOS M. ; HASHIMOTO, RONALDO F.. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: A Boolean model of cell death. Non-Coding Rna Research. v. 8, p. 605-614, 2023. Qualis: Não identificado (NON-CODING RNA RESEARCH)
      9. GUPTA, SHANTANU ; SILVEIRA, DANER A. ; PIEDADE, GABRIEL P.S. ; OSTROWSKI, MIGUEL P. ; MOMBACH, JOSÉ CARLOS M. ; HASHIMOTO, RONALDO F.. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-Coding Rna Research. v. 9, p. 185-193, 2023. Qualis: Não identificado (NON-CODING RNA RESEARCH)
      10. BARRERA, JUNIOR ; HASHIMOTO, RONALDO F. ; HIRATA, Nina S. T. ; HIRATA, R. ; REIS, MARCELO S.. From Mathematical Morphology to machine learning of image operators. SÃO PAULO JOURNAL OF MATHEMATICAL SCIENCES. v. 16, p. 616-657, 2022. Qualis: B3
      11. KAWASHIMA, IRINA YURI ; LOPEZ, MARIA CLAUDIA NEGRET ; CUNHA, MARIELTON DOS PASSOS ; HASHIMOTO, RONALDO FUMIO. SARS-CoV-2 host prediction based on virus-host genetic features. Scientific Reports. v. 12, p. 4576, 2022. Qualis: A2
      12. GUPTA, SHANTANU ; PANDA, PRITAM KUMAR ; HASHIMOTO, RONALDO F. ; SAMAL, SHAILESH KUMAR ; MISHRA, SUMAN ; VERMA, SURESH KR. ; MISHRA, YOGENDRA KUMAR ; AHUJA, RAJEEV. Dynamical modeling of miR-34a, miR-449a, and miR-16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports. v. 12, p. 4911, 2022. Qualis: A2
      13. GUPTA, SHANTANU ; SILVEIRA, DANER A. ; HASHIMOTO, RONALDO F. ; MOMBACH, JOSE CARLOS M.. A Boolean Model of the Proliferative Role of the lncRNA XIST in Non-Small Cell Lung Cancer Cells. BIOLOGY. v. 11, p. 480, 2022. Qualis: A1
      14. WANG, JIEYING ; SILVA, DENNIS J. ; KOSINKA, JI'Í ; TELEA, ALEXANDRU ; HASHIMOTO, RONALDO F. ; ROERDINK, JOS B.T.M.. Interactive image manipulation using morphological trees and spline-based skeletons. COMPUTERS & GRAPHICS-UK. v. 108, p. 61-73, 2022. Qualis: A2 (COMPUTERS & GRAPHICS)
      15. Gobber, Charles F. ; HASHIMOTO, RONALDO F. ; ALVES, WONDER A.L.. An efficient algorithm to update non-flat and incremental attributes in morphological trees. PATTERN RECOGNITION LETTERS. v. 163, p. 47-54, 2022. Qualis: A2
      16. GUPTA, SHANTANU ; PANDA, PRITAM KUMAR ; LUO, WEI ; HASHIMOTO, RONALDO F. ; AHUJA, RAJEEV. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer. Scientific Reports. v. 12, p. 18312, 2022. Qualis: A2
      17. GUPTA, SHANTANU ; HASHIMOTO, RONALDO F.. Dynamical Analysis of a Boolean Network Model of the Oncogene Role of lncRNA ANRIL and lncRNA UFC1 in Non-Small Cell Lung Cancer. BIOMOLECULES. v. 12, p. 420, 2022. Qualis: A1
      18. MEDINA-RODRÍGUEZ, ROSARIO ; BELTRÁN-CASTAÑÓN, CÉSAR ; HASHIMOTO, RONALDO FUMIO. An Approach to Growth Delimitation of Straight Line Segment Classifiers Based on a Minimum Bounding Box. Entropy. v. 23, p. 1541, 2021. Qualis: A4
      19. MORIMITSU, ALEXANDRE ; PASSAT, NICOLAS ; ALVES, WONDER A.L. ; HASHIMOTO, RONALDO F.. Efficient component-hypertree construction based on hierarchy of partitions. PATTERN RECOGNITION LETTERS. v. 135, p. 30-37, 2020. Qualis: A2
      20. ALVES, WONDER A.L. ; Gobber, Charles F. ; J. SILVA, DENNIS ; MORIMITSU, ALEXANDRE ; HASHIMOTO, RONALDO F. ; MARCOTEGUI, BEATRIZ. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. PATTERN RECOGNITION LETTERS. v. 133, p. 264-271, 2020. Qualis: A2
      21. SILVA, DENNIS J. ; ALVES, WONDER A.L. ; HASHIMOTO, RONALDO FUMIO. Incremental bit-quads count in component trees: theory, algorithms, and optimization. PATTERN RECOGNITION LETTERS. v. 129, p. 33-40, 2019. Qualis: A2
      22. ALVES, WONDER A.L. ; HASHIMOTO, RONALDO F. ; MARCOTEGUI, BEATRIZ. Ultimate levelings. COMPUTER VISION AND IMAGE UNDERSTANDING. v. 165, p. 60-74, 2017. Qualis: A2
      23. REZENDE LIMA, WÂNIA ; CORREA MARTINS, DAVID ; SIMÔNIO PARREIRA, KLEBER ; SCARPELLI, PEDRO ; SANTOS DE MORAES, MIRIAM ; TOPALIS, PANTELIS ; FUMIO HASHIMOTO, RONALDO ; R. S. GARCIA, CÉLIA. Genome-wide analysis of the human malaria parasite Plasmodium falciparum transcription factor PfNF-YB shows interaction with a CCAAT motif. Oncotarget. v. 8, p. 113987-114001, 2017. Qualis: A2
      24. DE ARAÚJO LIMA, LEANDRO ; FEIO-DOS-SANTOS, ANA CECÍLIA ; BELANGERO, SINTIA IOLE ; GADELHA, ARY ; BRESSAN, RODRIGO AFFONSECA ; SALUM, GIOVANNI ABRAHÃO ; PAN, PEDRO MARIO ; MORIYAMA, TAIS SILVEIRA ; GRAEFF-MARTINS, ANA SOLEDADE ; TAMANAHA, ANA CARINA ; ALVARENGA, PEDRO ; KRIEGER, FERNANDA VALLE ; FLEITLICH-BILYK, BACY ; JACKOWSKI, ANDREA PAROLIN ; BRIETZKE, ELISA ; SATO, JOÃO RICARDO ; POLANCZYK, GUILHERME VANONI ; MARI, JAIR DE JESUS ; MANFRO, GISELE GUS ; HASHIMOTO, R. F. ; et.al. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder. Scientific Reports. v. 6, p. 22851, 2016. Qualis: A2
      25. LIMA, W. R. ; TESSARIN-ALMEIDA, G. ; ROZANSKI, A. ; PARREIRA, K. S. ; MORAES, M. S. ; MARTINS, D. C. ; HASHIMOTO, R. F. ; GALANTE, P. A. F. ; GARCIA, C. R. S.. Signaling transcript profile of the asexual intraerythrocytic development cycle of Plasmodium falciparum induced by melatonin and cAMP. Genes & Cancer. v. 7, p. 323-339, 2016.Qualis: Não identificado (GENES & CANCER)
      26. SIMÕES, SÉRGIO N ; MARTINS, DAVID C ; PEREIRA, CARLOS AB ; Hashimoto, Ronaldo F ; BRENTANI, HELENA. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. v. 16, p. S9, 2015. Qualis: A1
      27. SWARNKAR, TRIPTI ; SIMÕES, SERGIO NERY ; ANURA, ANJI ; BRENTANI, HELENA ; CHATTERJEE, JYOTIRMOY ; HASHIMOTO, RONALDO FUMIO ; MARTINS, DAVID CORREA ; MITRA, PABITRA. Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics. v. 4, p. 1-18, 2015. Qualis: Não identificado (NETWORK MODELING ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS)
      28. LOPES, FABRÍCIO M. ; RAY, SHUBHRA SANKAR ; HASHIMOTO, RONALDO F. ; CESAR, ROBERTO M.. Entropic Biological Score: a cell cycle investigation for GRNs inference. Gene (Amsterdam),. v. 541, p. 129-137, 2014. Qualis: Não identificado (GENE ,)
      29. Martins, David C. ; DE OLIVEIRA, EVALDO A. ; BRAGA-NETO, ULISSES M. ; HASHIMOTO, RONALDO F. ; Cesar, Roberto M.. Signal Propagation in Bayesian Networks and its Relationship with Intrinsically Multivariate Predictive Variables. Information Sciences. v. 225, p. 18-34, 2013. Qualis: A1
      30. HIGA, C. H. A. ; ANDRADE, T. P. ; HASHIMOTO, R. F.. Growing Seed Genes from Time Series Data and Thresholded Boolean Networks with Perturbation. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Print). v. 10, p. 37-49, 2013. Qualis: A1
      31. VICENTE, FÁBIO FR ; LOPES, FABRÍCIO M ; HASHIMOTO, RONALDO F ; Cesar, Roberto M. Assessing the Gain of Biological Data Integration in Gene Networks Inference. BMC Genomics. v. 13, p. 1-12, 2012. Qualis: A2
      32. Higa, Carlos HA ; Louzada, Vitor HP ; Andrade, Tales P ; Hashimoto, Ronaldo F. Constraint-based analysis of gene interactions using restricted boolean networks and time-series data. BMC Proceedings. v. 5, p. S5, 2011. Qualis: Não identificado (BMC PROCEEDINGS)
      33. MARTINS, D. C. ; BRAGA-NETO, U. ; BITTNER, M. L. ; HASHIMOTO, R. F. ; DOUGHERTY, E. R.. Intrinsically Multivariate Predictive Genes. IEEE Journal of Selected Topics in Signal Processing. v. 2, p. 424-439, 2008. Qualis: A1
      34. TREPODE, N. W. ; ARMELIN, H. A. ; BITTNER, M. L. ; BARRERA, J. ; GUBITOSO, M. D. ; HASHIMOTO, R. F.. A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks. EURASIP Journal on Bioinformatics and Systems Biology (Online). v. 2007, p. 73109-73120, 2007. Qualis: Não identificado (EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY)
      35. SILVA, Paulo J S ; HASHIMOTO, Ronaldo F ; KIM, Seungchan ; BARRERA, Junior ; BRANDÃO, Leônidas O ; SUH, Edward ; DOUGHERTY, Edward R. Feature Selection Algorithms to Find Strong Genes. Pattern Recognition Letters. v. 26, n. 10, p. 1444-1453, 2005. Qualis: A2
      36. BRAGA-NETO, U. ; HASHIMOTO, R. F. ; DOUGHERTY, E. R. ; NGUYEN, D. V. ; CARROLL, R. J.. Is Cross-Validation Better than Resubstitution for Ranking Genes. Bioinformatics (Oxford). v. 20, n. 2, p. 253-258, 2004. Qualis: A1
      37. HASHIMOTO, R. F.; KIM, S. ; SHMULEVICH, Ilya ; ZHANG, Wei ; BITTNER, M. L. ; DOUGHERTY, E. R.. Growing Genetic Regulatory Networks from Seed Genes. Bioinformatics (Oxford), Grã-Bretanha. v. 20, n. 8, p. 1241-1247, 2004. Qualis: Não identificado (BIOINFORMATICS , GRÃ-BRETANHA)
      38. HASHIMOTO, R. F. ; BARRERA, Junior. A Greedy Algorithm for Decomposing Convex Structuring Elements. Journal of Mathematical Imaging and Vision, USA. v. 18, n. 3, p. 269-289, 2003. Qualis: A1 (JOURNAL OF MATHEMATICAL IMAGING AND VISION)
      39. HASHIMOTO, R. F.; DOUGHERTY, E. R. ; Marcel Brun ; Zheng-Zheng Zhou ; BITTNER, M. L. ; TRENT, J. M.. Efficient Selection of Feature Sets Possessing High Coefficients of Determination Based on Incremental Determinations. Signal Processing. v. 83, n. 4, p. 695-712, 2003. Qualis: A1
      40. SHMULEVICH, Ilya ; GLUHOVSKY, Ilya ; HASHIMOTO, R. F. ; DOUGHERTY, E. R. ; ZHANG, Wei. Steady-State Analysis of Genetic Regulatory Networks Modelled by Probabilistic Boolean Networks. Comparative and Functional Genomics. v. 4, p. 601-608, 2003. Qualis: Não identificado (COMPARATIVE AND FUNCTIONAL GENOMICS)
      41. HASHIMOTO, R. F. ; BARRERA, Junior. A Note on Park and Chin´s Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. v. 24, n. 1, p. 139-144, 2002. Qualis: Não identificado (IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE)
      42. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O. ; ESTEVES, G. P.. Segmentation of Microarray Images by Mathematical Morphology. Real time imaging, Estados Unidos. v. 8, n. 6, p. 491-505, 2002. Qualis: Não identificado (REAL TIME IMAGING, ESTADOS UNIDOS)
      43. BARRERA, Junior; HASHIMOTO, R. F.. From the Sup-Decomposition to Sequential Decompositions. Journal of Mathematical Imaging and Vision. v. 15, n. 3, p. 197-216, 2001. Qualis: A1
      44. BARRERA, Junior; HASHIMOTO, R. F.. Sup-Compact and Inf-Compact Representations of W-Operators. Fundamenta Informaticae. v. 45, n. 4, p. 283-294, 2001.Qualis: A2
      45. HASHIMOTO, Ronaldo F ; BARRERA, Junior ; FERREIRA, C. E.. A Combinatorial Optimization Technique for the Sequential Decomposition of Erosions and Dilations. Journal of Mathematical Imaging and Vision. v. 13, n. 1, p. 17-33, 2000. Qualis: A1
      46. SILVA, DENNIS J. ; Miranda, Paulo André Vechiatto ; ALVES, WONDER A. L. ; HASHIMOTO, RONALDO F. ; Kosinka, Ji¿í ; Roerdink, Jos B. T. M.. Differential Maximum Euclidean Distance Transform Computation in Component Trees. Lecture Notes in Computer Science. 1ed. Em: Third International Conference on Discrete Geometry and Mathematical Morphology (DGMM). (Org.). Lecture Notes in Computer Science. 1ed. : Springer Nature Switzerland. 2024.v. 14605, p. 67-79.
      47. SOUSA, R. N. ; CAMPOS, C. G. S. ; WANG, W. ; HASHIMOTO, R. F. ; ARMELIN, H. A. ; REIS, M. S.. Exploring Identifiability in Hybrid Models of Cell Signaling Pathways. Em: M.S. Reis; R.C. de Melo-Minardi.. (Org.). Advances in Bioinformatics and Computational Biology. 1ed. : Springer, Charm. 2023.v. 13954, p. 148-159.
      48. PIMENTA-ZANON, M. H. ; de Souza, V.A ; HASHIMOTO, R. F. ; LOPES, F. M.. Biological Sequence Analysis Using Complex Networks and Entropy Maximization: A Case Study in SARS-CoV-2. Em: Swarnkar, T., Patnaik, S., Mitra, P., Misra, S., Mishra, M.. (Org.). Ambient Intelligence in Health Care. 1ed.Singapore. : Springer. 2022.v. 317, p. 459-469.
      49. da Silva, Dennis José ; ALVES, WONDER ALEXANDRE LUZ ; MORIMITSU, ALEXANDRE ; Gobber, Charles Ferreira ; HASHIMOTO, RONALDO FUMIO. Incremental Bit-Quads Count in Tree of Shapes. Em: Burgeth B., Kleefeld A., Naegel B., Passat N., Perret B.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2019.v. 11564, p. 162-173.
      50. MORIMITSU, ALEXANDRE ; ALVES, WONDER ALEXANDRE LUZ ; Silva, Dennis Jose ; Gobber, Charles Ferreira ; HASHIMOTO, RONALDO FUMIO. Minimal Component-Hypertrees. Em: Couprie M., Cousty J., Kenmochi Y., Mustafa N.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2019.v. 11414, p. 276-287.
      51. MORIMITSU, ALEXANDRE ; ALVES, WONDER ALEXANDRE LUZ ; da Silva, Dennis José ; Gobber, Charles Ferreira ; HASHIMOTO, RONALDO FUMIO. Incremental Attribute Computation in Component-Hypertrees. Em: Burgeth B., Kleefeld A., Naegel B., Passat N., Perret B.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2019.v. 11564, p. 150-161.
      52. ALVES, WONDER ALEXANDRE LUZ ; Gobber, Charles Ferreira ; da Silva, Dennis José ; MORIMITSU, ALEXANDRE ; HASHIMOTO, RONALDO FUMIO ; MARCOTEGUI, BEATRIZ. Ultimate Levelings with Strategy for Filtering Undesirable Residues Based on Machine Learning. Em: Burgeth B., Kleefeld A., Naegel B., Passat N., Perret B.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2019.v. 11564, p. 297-309.
      53. ALVES, WONDER A. L. ; Gobber, Charles F. ; HASHIMOTO, RONALDO F.. Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings. Em: Campilho A., Karray F., ter Haar Romeny B.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2018.v. 10882, p. 474-481.
      54. Gobber, Charles ; ALVES, WONDER A. L. ; HASHIMOTO, RONALDO F.. Ultimate Leveling Based on Mumford-Shah Energy Functional Applied to Plant Detection. Em: Mendoza M., Velastín S.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2018.v. 10657, p. 220-228.
      55. ALVES, WONDER A. L. ; Gobber, Charles F. ; Araújo, Sidnei A. ; HASHIMOTO, RONALDO F.. Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening. Em: Campilho A., Karray F.. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2016.v. 9730, p. 727-733.
      56. RIBEIRO, J. H. B. ; HASHIMOTO, R. F.. Pattern Recognition Based on Straight Line Segments. Em: Adam Herout. (Org.). Pattern Recognition, Recent Advances. Vienna. 2010.p. 167-188.
      57. KAWASHIMA, IRINA YURI ; LOPEZ, MARIA CLAUDIA NEGRET ; CUNHA, MARIELTON DOS PASSOS ; HASHIMOTO, R. F.. Aprendizagem de Máquina como essa técnica computacional está enfrentando os novos vírus. Ciência Hoje, 14 jun. 2022.
      58. MORIMITSU, ALEXANDRE ; ALVEZ, W. A. L. ; SILVA, DENNIS J. ; GOBBER, C. ; HASHIMOTO, R. F.. Minimal Component-Hypertrees. Em: 21st IAPR International Conference, v. 11414, p. 276-287, 2019. Qualis: Não identificado (21st IAPR International Conference)
      59. ALVEZ, W. A. L. ; GOBBER, C. ; HASHIMOTO, R. F.. Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings. Em: 15th International Conference on Image Analysis and Recognition - ICIAR 2018, v. 10882, p. 474-481, 2018.Qualis: Não identificado (15th International Conference on Image Analysis and Recognition - ICIAR 2018)
      60. MEDINA-RODRIGUEZ, ROSARIO ; CASTANON, CESAR BELTRAN ; HASHIMOTO, RONALDO FUMIO. Evaluation of the Impact of Initial Positions obtained by Clustering Algorithms on the Straight Line Segments Classifier. Em: 2018 IEEE Latin American Conference on Computational Intelligence (LACCI), p. 1, 2018. Qualis: Não identificado (2018 IEEE Latin American Conference on Computational Intelligence (LACCI))
      61. GOBBER, C. ; ALVES, WONDER A. L. ; HASHIMOTO, R. F.. Ultimate Levelings Based on Mumford-Shah Energy Functional Applied to Plant Detection. Em: Progress in Pattern Recognition, v. 10657, p. 220-228, 2017.Qualis: Não identificado (Progress in Pattern Recognition)
      62. SILVA, DENNIS J. ; ALVES, WONDER A. L. ; MORIMITSU, ALEXANDRE ; HASHIMOTO, RONALDO F.. Efficient incremental computation of attributes based on locally countable patterns in component trees. Em: 2016 IEEE International Conference on Image Processing (ICIP), p. 3738-3742, 2016. Qualis: Não identificado (2016 IEEE International Conference on Image Processing (ICIP))
      63. ALVEZ, W. A. L. ; MORIMITSU, ALEXANDRE ; HASHIMOTO, RONALDO FUMIO. Scale-Space Representation Based on Levelings Through Hierarchies of Level Sets. Em: International Symposium on Mathematical Morphology, v. 9082, p. 265-276, 2015.Qualis: Não identificado (International Symposium on Mathematical Morphology)
      64. MORIMITSU, ALEXANDRE ; ALVEZ, W. A. L. ; HASHIMOTO, RONALDO FUMIO. Incremental and Efficient Computation of Families of Component Trees. Em: International Symposium on Mathematical Morphology (ISMM 2015), v. 9082, p. 681-692, 2015.Qualis: Não identificado (International Symposium on Mathematical Morphology (ISMM 2015))
      65. LIMA, LEANDRO DE A. ; SIMOES, SERGIO NERY ; HASHIMOTO, RONALDO FUMIO ; JUNIOR, DAVID C. MARTINS ; BRENTANI, HELENA ; MOTA, GUILHERME O.. Network-Based Disease Gene Prioritization by Hitting Time Analysis. Em: 2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), p. 9-14, 2014. Qualis: Não identificado (2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE))
      66. ALVES, WONDER ALEXANDRE LUZ ; HASHIMOTO, RONALDO FUMIO. Ultimate grain filter. Em: 2014 IEEE International Conference on Image Processing (ICIP), p. 2953-2957, 2014. Qualis: Não identificado (2014 IEEE International Conference on Image Processing (ICIP))
      67. SWARNKAR, TRIPTI ; SIMOES, SERGIO NERY ; MARTINS, DAVID CORREA ; ANURAK, ANJI ; BRENTANI, HELENA ; HASHIMOTO, RONALDO FUMIO ; MITRA, PABITRA. Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. Em: 2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), p. 15-22, 2014. Qualis: Não identificado (2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE))
      68. CASTRO, J. E. S. ; HASHIMOTO, Ronaldo F ; BARRERA, Junior. Analytical Solutions for the Minkowski Addition Equation. Em: ISMM 2013 - Mathematical Morphology and its applications to Signal and Image Processing, v. 7883, p. 61-72, 2013.Qualis: Não identificado (ISMM 2013 - Mathematical Morphology and its applications to Signal and Image Processing)
      69. ALVES, WONDER ALEXANDRE LUZ ; MORIMITSU, ALEXANDRE ; CASTRO, JOEL SANCHEZ ; HASHIMOTO, RONALDO FUMIO. Extraction of Numerical Residues in Families of Levelings. Em: 2013 XXVI SIBGRAPI Conference on Graphics, p. 349, 2013. Qualis: Não identificado (2013 XXVI SIBGRAPI Conference on Graphics)
      70. SIMOES, S. N. ; MARTINS, D. C. ; SAMAIA, H. P. B. ; HASHIMOTO, R. F.. Shortest Paths Ranking Methodology to Identify Alterations in PPI Networks of Complex Diseases. Em: ACM International Conference on Bioinformatics, p. 561-563, 2012. Qualis: Não identificado (ACM International Conference on Bioinformatics)
      71. LOUZADA, V. H. P. ; LOPES, F. M. ; HASHIMOTO, R. F.. A Monte Carlo Approach to Measure the Robustness of Boolean Networks. Em: 1st International Workshop on Robustness and Stability of Biological Systems and Computational Solutions, p. 696-699, 2012. Qualis: Não identificado (1st International Workshop on Robustness and Stability of Biological Systems and Computational Solutions)
      72. VICENTE, F. F. R. ; LOPES, F. M. ; HASHIMOTO, R. F.. Improvement of GNs inference through biological data integration. Em: 9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), p. 1-4, 2011. Qualis: Não identificado (9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS))
      73. LOUZADA, V. H. P. ; LOPES, F. M. ; HASHIMOTO, R. F.. The effect of certain Boolean functions in stability of networks with varying topology. Em: 9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), p. 1-4, 2011. Qualis: Não identificado (9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS))
      74. RODRIGUEZ, R. M. ; HASHIMOTO, R. F.. Combining Dialectical Optimization and Gradient Descent Methods for Improving the Accuracy of Straight Line Segment Classifiers. Em: 24th SIBGRAPI Conference on Graphics, p. 321-328, 2011. Qualis: Não identificado (24th SIBGRAPI Conference on Graphics)
      75. ALVEZ, W. A. L. ; HASHIMOTO, R. F.. Classification of Regions Extracted from Scene Images by Morphological Filters in Text or Non-Text using Decision Tree. Em: 18th International Conference on Computer Graphics, p. 165-172, 2010.Qualis: Não identificado (18th International Conference on Computer Graphics)
      76. HIGA, C. H. A. ; LOUZADA, V. H. P. ; HASHIMOTO, R. F.. Analysis of Gene Interactions Using Restricted Boolean Networks and Time-Series Data. Em: 6th International Symposium on Bioinformatics Research and Applications, p. 61-76, 2010. Qualis: Não identificado (6th International Symposium on Bioinformatics Research and Applications)
      77. MARTINS, D. C. ; OLIVEIRA, E. A. ; LOUZADA, V. H. P. ; HASHIMOTO, R. F.. Inference of Restricted Stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria. Em: 15th Iberoamerican Congress on Pattern Recognition, v. 6419, p. 144-152, 2010. Qualis: Não identificado (15th Iberoamerican Congress on Pattern Recognition)
      78. ALVEZ, W. A. L. ; HASHIMOTO, R. F.. Text Regions Extracted from Scene Images by Ultimate Attribute Opening and Decision Tree Classification. Em: Graphics, p. 360-367, 2010. Qualis: Não identificado (Graphics)
      79. HIGA, C. H. A. ; HASHIMOTO, R. F. ; HIRATA JR., R. ; HIRATA, Nina S. T. ; SANTOS, C. S.. Inference of Gene Regulatory Network using Temporal Coefficient of Determination Obtained from Ergodic Markov Chains. Em: IEEE International Workshop on Genomic Signal Processing and Statistics, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics)
      80. MARTINS, D. C. ; OLIVEIRA, E. A. ; SILVA, P. J. S. ; HASHIMOTO, R. F. ; CESAR JUNIOR, R. M.. Revealing Temporal Genetic Regulatory Networks from Steady-State Distributions. Em: IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS)
      81. HASHIMOTO, R. F.; STAGNI, H. ; HIGA, C. H. A.. Budding Yeast Cell Cycle Modeled by Context-Sensitive Probabilistic Boolean Network. Em: IEEE International Workshop on Genomic Signal Processing and Statistics, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics)
      82. MACHADO, A. F. ; HASHIMOTO, R. F.. Jump-Miss Binary Erosion Algorithm. Em: XXII Brazilian Symposium on Computer Graphics and Image Processing, p. 149-155, 2009. Qualis: Não identificado (XXII Brazilian Symposium on Computer Graphics and Image Processing)
      83. RIBEIRO, J. H. B. ; HASHIMOTO, R. F.. A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments. Em: SIBGRAPI 2008, 2008. Qualis: Não identificado (SIBGRAPI 2008)
      84. RIBEIRO, J. H. B. ; HASHIMOTO, R. F.. A New Machine Learning Technique Based on Straight Line Segments. Em: Fifth International Conference on Machine Learning and Applications (ICMLA 2006), p. 10-16, 2006. Qualis: Não identificado (Fifth International Conference on Machine Learning and Applications (ICMLA 2006))
      85. BARRERA, Junior; HASHIMOTO, R F. Binary Decision Diagrams as a New Paradigm for Morphological Machines. Em: INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY, v. 15, p. 3-12, 2005. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY)
      86. BALAGURUNATHAN, Y. ; HASHIMOTO, R.F. ; KIM, S. ; BARRERA, Junior ; DOUGHERTY, E.R.. Granulometric Classifiers from Small Samples. Em: PHOTONICS WEST 2002, v. 4667, p. 100-107, 2002. Qualis: Não identificado (PHOTONICS WEST 2002)
      87. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O.. Microarray Gridding by Mathematical Morphology. Em: INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, v. 1, p. 112-119, 2001. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS)
      88. HASHIMOTO, R F ; BARRERA, Junior ; DOUGHERTY, E R. From the Sup-Decomposition to a Sequential Decomposition. Em: International Symposium on Mathematical Morphology, p. 13-22, 2000. Qualis: Não identificado (International Symposium on Mathematical Morphology)
      89. AUBERT, A. ; JEULIN, D. ; HASHIMOTO, R. F.. Surface Texture Classification from Morphological Transformations. Em: International Symposium on Mathematical Morphology, p. 253-262, 2000. Qualis: Não identificado (International Symposium on Mathematical Morphology)
      90. MACHADO, A. F. ; HASHIMOTO, R. F.. Erosões e Dilatações Morfológicas Binárias Seqüenciais Rápidas. Em: XXIX Congresso da Sociedade Brasileira de Computação, 2009, Bento Gonçaves. Anais do CSBC 2009 - CTD, 2009. Qualis: Não identificado (XXIX CONGRESSO DA SOCIEDADE BRASILEIRA DE COMPUTAÇÃO, 2009, BENTO GONÇAVES. ANAIS DO CSBC 2009 - CTD)
      91. MACHADO, A. F. ; HASHIMOTO, R. F. ; LAGO, A. P.. Efficient Binary Erosion Algorithm Based on a String-Matching-Like Technique. Em: International Symposium on Mathematical Morphology, 2007, Rio de Janeiro. International Symposium on Mathematical Morphology, 2007. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY, 2007, RIO DE JANEIRO. INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY)
      92. TREPODE, N. W. ; ARMELIN, H. A. ; BITTNER, M. L. ; BARRERA, J. ; GUBITOSO, M. D. ; HASHIMOTO, R. F.. Modeling Cell-Cycle Regulation by Discrete Dynamical Systems. Em: IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS '05), 2005, Rhode Island. Proceedings of IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS '05), 2005. Qualis: Não identificado (IEEE WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS , 2005, RHODE ISLAND. PROCEEDINGS OF IEEE WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS)
      93. HIGA, C. H. A. ; HASHIMOTO, R. F. ; MONTE, J. C. M.. Inferring Robust Boolean Networks of the Early Embryonic Stage in Kidney Organogenesis. Em: Brazilian Symposium on Bioinformatics 2012 (BSB 2012), 2012, Campo Grande. Brazilian Symposium on Bioinformatics 2012 (BSB 2012), p. 56-61, 2012.
      94. NORONHA, M. F. ; NETTO, O. V. C. ; CARAZZOLLE, M. F. ; PEREIRA, G. A. G. ; HASHIMOTO, R. F.. Comparison of Boolean Networks from Yeast Strain on Fermentative Process. Em: 7th Conference of the Brazilian Association for Bioinformatics and Computational Biology (X-Meeting), 2010, Florianópolis. 7th Conference of the Brazilian Association for Bioinformatics and Computational Biology (X-Meeting 2011), 2011.
      95. NORONHA, M. F. ; CARAZZOLLE, M. F. ; PEREIRA, G. A. G. ; HASHIMOTO, R. F.. Gene connection probability patern analysis in yeast diauxic shift process. Em: 6th International Conference of the Brazilian Association for Bioinformatics and Computational Biology X-Meeting, 2010, Ouro Preto. 6th International Conference of the Brazilian Association for Bioinformatics and Computational Biology X-Meeting 2010, 2010.
      96. NAKANO, F. ; ASPRINO, P. F. ; HIGA, C. H. A. ; HASHIMOTO, R. F. ; ARMELIN, H. A.. Searching for Genes Involved in Novel Mechanisms of Tumor Cell Death Triggered by FGF2: Introducing New Methodological Approaches. Em: International Conference on Intelligent Systems for Molecular Biology, 2006, Fortaleza. International Conference on Intelligent Systems for Molecular Biology, 2006.
      97. HASHIMOTO, R. F.; DOUGHERTY, E. R. ; BITTNER, M. L.. Intrinsically Multivariately Predictive Genes. Em: X-Meeting - The First International Conference of the AB3C, 2005, Caxambu. X-Meeting - The First International Conference of the AB3C, p. 85-85, 2005.
      98. HASHIMOTO, R. F. Building Small Subnetworks from Seed Genes. Em: International Congress on Bioinformatics and Computational Biology, 2004. Second International Congress on Bioinformatics and Computational Biology, 2004.
      99. HASHIMOTO, R. F.; DOUGHERTY, E. R. ; Marcel Brun ; Zheng-Zheng Zhou ; BITTNER, M. L. ; TRENT, J. M.. Feature Selection Based on Incremental Determinations. Em: International Conference on Bioinformatics and Computational Biology, 2003. First International Conference on Bioinformatics and Computational Biology, 2003.
      100. HASHIMOTO, R. F. Gene Interactions Modeled by Boolean Networks. 2013. Apresentação de Trabalho/Conferência ou palestra
      101. HASHIMOTO, R. F.; HIGA, C. H. A.. Modeling Yeast Cell-Cycle with Context Probabilistic Boolean Network. 2007. Apresentação de Trabalho/Congresso
      102. HASHIMOTO, R. F. Manual do Linux Red Hat 9.0. São Paulo, 2004. (Prefácio. 2004.
      103. KAWASHIMA, IRINA YURI ; CUNHA, MARIELTON DOS PASSOS ; HASHIMOTO, R. F.. Como a matemática mostra a relação entre morcegos e novo coronavírus. 2022; Tema:. 2022.Site
      104. KAWASHIMA, IRINA YURI ; CUNHA, MARIELTON DOS PASSOS ; HASHIMOTO, R. F.. Como a matemática mostra a relação entre morcegos e novo coronavírus. 2022; Tema:. 2022.Site
      105. TRENT, J. M. ; BITTNER, M. L. ; DOUGHERTY, E. R. ; Jaing, Y. ; HASHIMOTO, R. F.. Methods for Diagnosis and Prognosis of Skin Cancer. 2010.

    • Ronaldo Fumio Hashimoto ⇔ Junior Barrera (13.0)
      1. TREPODE, N. W. ; ARMELIN, H. A. ; BITTNER, M. L. ; BARRERA, J. ; GUBITOSO, M. D. ; HASHIMOTO, R. F.. A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks. EURASIP Journal on Bioinformatics and Systems Biology (Online). v. 2007, p. 73109-73120, 2007. Qualis: Não identificado (EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY)
      2. SILVA, Paulo J S ; HASHIMOTO, Ronaldo F ; KIM, Seungchan ; BARRERA, Junior ; BRANDÃO, Leônidas O ; SUH, Edward ; DOUGHERTY, Edward R. Feature Selection Algorithms to Find Strong Genes. Pattern Recognition Letters. v. 26, n. 10, p. 1444-1453, 2005. Qualis: A2
      3. HASHIMOTO, R. F. ; BARRERA, Junior. A Greedy Algorithm for Decomposing Convex Structuring Elements. Journal of Mathematical Imaging and Vision, USA. v. 18, n. 3, p. 269-289, 2003. Qualis: A1 (JOURNAL OF MATHEMATICAL IMAGING AND VISION)
      4. HASHIMOTO, R. F. ; BARRERA, Junior. A Note on Park and Chin´s Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. v. 24, n. 1, p. 139-144, 2002. Qualis: Não identificado (IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE)
      5. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O. ; ESTEVES, G. P.. Segmentation of Microarray Images by Mathematical Morphology. Real time imaging, Estados Unidos. v. 8, n. 6, p. 491-505, 2002. Qualis: Não identificado (REAL TIME IMAGING, ESTADOS UNIDOS)
      6. BARRERA, Junior; HASHIMOTO, R. F.. From the Sup-Decomposition to Sequential Decompositions. Journal of Mathematical Imaging and Vision. v. 15, n. 3, p. 197-216, 2001. Qualis: A1
      7. BARRERA, Junior; HASHIMOTO, R. F.. Sup-Compact and Inf-Compact Representations of W-Operators. Fundamenta Informaticae. v. 45, n. 4, p. 283-294, 2001.Qualis: A2
      8. HASHIMOTO, Ronaldo F ; BARRERA, Junior ; FERREIRA, C. E.. A Combinatorial Optimization Technique for the Sequential Decomposition of Erosions and Dilations. Journal of Mathematical Imaging and Vision. v. 13, n. 1, p. 17-33, 2000. Qualis: A1
      9. CASTRO, J. E. S. ; HASHIMOTO, Ronaldo F ; BARRERA, Junior. Analytical Solutions for the Minkowski Addition Equation. Em: ISMM 2013 - Mathematical Morphology and its applications to Signal and Image Processing, v. 7883, p. 61-72, 2013.Qualis: Não identificado (ISMM 2013 - Mathematical Morphology and its applications to Signal and Image Processing)
      10. BARRERA, Junior; HASHIMOTO, R F. Binary Decision Diagrams as a New Paradigm for Morphological Machines. Em: INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY, v. 15, p. 3-12, 2005. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY)
      11. BALAGURUNATHAN, Y. ; HASHIMOTO, R.F. ; KIM, S. ; BARRERA, Junior ; DOUGHERTY, E.R.. Granulometric Classifiers from Small Samples. Em: PHOTONICS WEST 2002, v. 4667, p. 100-107, 2002. Qualis: Não identificado (PHOTONICS WEST 2002)
      12. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O.. Microarray Gridding by Mathematical Morphology. Em: INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, v. 1, p. 112-119, 2001. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS)
      13. HASHIMOTO, R F ; BARRERA, Junior ; DOUGHERTY, E R. From the Sup-Decomposition to a Sequential Decomposition. Em: International Symposium on Mathematical Morphology, p. 13-22, 2000. Qualis: Não identificado (International Symposium on Mathematical Morphology)

    • Ronaldo Fumio Hashimoto ⇔ Roberto Marcondes Cesar Junior (4.0)
      1. LOPES, FABRÍCIO M. ; RAY, SHUBHRA SANKAR ; HASHIMOTO, RONALDO F. ; CESAR, ROBERTO M.. Entropic Biological Score: a cell cycle investigation for GRNs inference. Gene (Amsterdam),. v. 541, p. 129-137, 2014. Qualis: Não identificado (GENE ,)
      2. Martins, David C. ; DE OLIVEIRA, EVALDO A. ; BRAGA-NETO, ULISSES M. ; HASHIMOTO, RONALDO F. ; Cesar, Roberto M.. Signal Propagation in Bayesian Networks and its Relationship with Intrinsically Multivariate Predictive Variables. Information Sciences. v. 225, p. 18-34, 2013. Qualis: A1
      3. VICENTE, FÁBIO FR ; LOPES, FABRÍCIO M ; HASHIMOTO, RONALDO F ; Cesar, Roberto M. Assessing the Gain of Biological Data Integration in Gene Networks Inference. BMC Genomics. v. 13, p. 1-12, 2012. Qualis: A2
      4. MARTINS, D. C. ; OLIVEIRA, E. A. ; SILVA, P. J. S. ; HASHIMOTO, R. F. ; CESAR JUNIOR, R. M.. Revealing Temporal Genetic Regulatory Networks from Steady-State Distributions. Em: IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS)

    • Ronaldo Fumio Hashimoto ⇔ Roberto Marcondes Cesar Junior (4.0)
      1. LOPES, FABRÍCIO M. ; RAY, SHUBHRA SANKAR ; HASHIMOTO, RONALDO F. ; CESAR, ROBERTO M.. Entropic Biological Score: a cell cycle investigation for GRNs inference. Gene (Amsterdam),. v. 541, p. 129-137, 2014. Qualis: Não identificado (GENE ,)
      2. Martins, David C. ; DE OLIVEIRA, EVALDO A. ; BRAGA-NETO, ULISSES M. ; HASHIMOTO, RONALDO F. ; Cesar, Roberto M.. Signal Propagation in Bayesian Networks and its Relationship with Intrinsically Multivariate Predictive Variables. Information Sciences. v. 225, p. 18-34, 2013. Qualis: A1
      3. VICENTE, FÁBIO FR ; LOPES, FABRÍCIO M ; HASHIMOTO, RONALDO F ; Cesar, Roberto M. Assessing the Gain of Biological Data Integration in Gene Networks Inference. BMC Genomics. v. 13, p. 1-12, 2012. Qualis: A2
      4. MARTINS, D. C. ; OLIVEIRA, E. A. ; SILVA, P. J. S. ; HASHIMOTO, R. F. ; CESAR JUNIOR, R. M.. Revealing Temporal Genetic Regulatory Networks from Steady-State Distributions. Em: IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics - GENSIPS)

    • Ronaldo Fumio Hashimoto ⇔ Roberto Hirata Junior (3.0)
      1. BARRERA, JUNIOR ; HASHIMOTO, RONALDO F. ; HIRATA, Nina S. T. ; HIRATA, R. ; REIS, MARCELO S.. From Mathematical Morphology to machine learning of image operators. SÃO PAULO JOURNAL OF MATHEMATICAL SCIENCES. v. 16, p. 616-657, 2022. Qualis: B3
      2. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O. ; ESTEVES, G. P.. Segmentation of Microarray Images by Mathematical Morphology. Real time imaging, Estados Unidos. v. 8, n. 6, p. 491-505, 2002. Qualis: Não identificado (REAL TIME IMAGING, ESTADOS UNIDOS)
      3. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O.. Microarray Gridding by Mathematical Morphology. Em: INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, v. 1, p. 112-119, 2001. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS)

    • Ronaldo Fumio Hashimoto ⇔ Roberto Hirata Junior (3.0)
      1. BARRERA, JUNIOR ; HASHIMOTO, RONALDO F. ; HIRATA, Nina S. T. ; HIRATA, R. ; REIS, MARCELO S.. From Mathematical Morphology to machine learning of image operators. SÃO PAULO JOURNAL OF MATHEMATICAL SCIENCES. v. 16, p. 616-657, 2022. Qualis: B3
      2. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O. ; ESTEVES, G. P.. Segmentation of Microarray Images by Mathematical Morphology. Real time imaging, Estados Unidos. v. 8, n. 6, p. 491-505, 2002. Qualis: Não identificado (REAL TIME IMAGING, ESTADOS UNIDOS)
      3. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O.. Microarray Gridding by Mathematical Morphology. Em: INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, v. 1, p. 112-119, 2001. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS)

    • Ronaldo Fumio Hashimoto ⇔ Roberto Hirata Junior (3.0)
      1. BARRERA, JUNIOR ; HASHIMOTO, RONALDO F. ; HIRATA, Nina S. T. ; HIRATA, R. ; REIS, MARCELO S.. From Mathematical Morphology to machine learning of image operators. SÃO PAULO JOURNAL OF MATHEMATICAL SCIENCES. v. 16, p. 616-657, 2022. Qualis: B3
      2. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O. ; ESTEVES, G. P.. Segmentation of Microarray Images by Mathematical Morphology. Real time imaging, Estados Unidos. v. 8, n. 6, p. 491-505, 2002. Qualis: Não identificado (REAL TIME IMAGING, ESTADOS UNIDOS)
      3. HIRATA JR, R. ; BARRERA, Junior ; HASHIMOTO, Ronaldo F ; DANTAS, D. O.. Microarray Gridding by Mathematical Morphology. Em: INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, v. 1, p. 112-119, 2001. Qualis: Não identificado (INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS)

    • Ronaldo Fumio Hashimoto ⇔ Nina Sumiko Tomita Hirata (2.0)
      1. BARRERA, JUNIOR ; HASHIMOTO, RONALDO F. ; HIRATA, Nina S. T. ; HIRATA, R. ; REIS, MARCELO S.. From Mathematical Morphology to machine learning of image operators. SÃO PAULO JOURNAL OF MATHEMATICAL SCIENCES. v. 16, p. 616-657, 2022. Qualis: B3
      2. HIGA, C. H. A. ; HASHIMOTO, R. F. ; HIRATA JR., R. ; HIRATA, Nina S. T. ; SANTOS, C. S.. Inference of Gene Regulatory Network using Temporal Coefficient of Determination Obtained from Ergodic Markov Chains. Em: IEEE International Workshop on Genomic Signal Processing and Statistics, p. 1-4, 2009. Qualis: Não identificado (IEEE International Workshop on Genomic Signal Processing and Statistics)

    • Ronaldo Fumio Hashimoto ⇔ Carlos Alberto de Braganca Pereira (1.0)
      1. SIMÕES, SÉRGIO N ; MARTINS, DAVID C ; PEREIRA, CARLOS AB ; Hashimoto, Ronaldo F ; BRENTANI, HELENA. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. v. 16, p. S9, 2015. Qualis: A1

    • Ronaldo Fumio Hashimoto ⇔ Carlos Eduardo Ferreira (1.0)
      1. HASHIMOTO, Ronaldo F ; BARRERA, Junior ; FERREIRA, C. E.. A Combinatorial Optimization Technique for the Sequential Decomposition of Erosions and Dilations. Journal of Mathematical Imaging and Vision. v. 13, n. 1, p. 17-33, 2000. Qualis: A1

    • Ronaldo Fumio Hashimoto ⇔ Guilherme Oliveira Mota (1.0)
      1. LIMA, LEANDRO DE A. ; SIMOES, SERGIO NERY ; HASHIMOTO, RONALDO FUMIO ; JUNIOR, DAVID C. MARTINS ; BRENTANI, HELENA ; MOTA, GUILHERME O.. Network-Based Disease Gene Prioritization by Hitting Time Analysis. Em: 2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), p. 9-14, 2014. Qualis: Não identificado (2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE))

    • Ronaldo Fumio Hashimoto ⇔ Leônidas de Oliveira Brandão (1.0)
      1. SILVA, Paulo J S ; HASHIMOTO, Ronaldo F ; KIM, Seungchan ; BARRERA, Junior ; BRANDÃO, Leônidas O ; SUH, Edward ; DOUGHERTY, Edward R. Feature Selection Algorithms to Find Strong Genes. Pattern Recognition Letters. v. 26, n. 10, p. 1444-1453, 2005. Qualis: A2

    • Ronaldo Fumio Hashimoto ⇔ Paulo André Vechiatto de Miranda (1.0)
      1. SILVA, DENNIS J. ; Miranda, Paulo André Vechiatto ; ALVES, WONDER A. L. ; HASHIMOTO, RONALDO F. ; Kosinka, Ji¿í ; Roerdink, Jos B. T. M.. Differential Maximum Euclidean Distance Transform Computation in Component Trees. Lecture Notes in Computer Science. 1ed. Em: Third International Conference on Discrete Geometry and Mathematical Morphology (DGMM). (Org.). Lecture Notes in Computer Science. 1ed. : Springer Nature Switzerland. 2024.v. 14605, p. 67-79.




(*) Relatório criado com produções desde 2000 até 2025
Data de processamento: 25/02/2025 19:39:45