The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Agma J. M. Traina: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Caetano Traina Jr., Agma J. M. Traina, Christos Faloutsos
    Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. [Citation Graph (1, 0)][DBLP]
    ICDE, 2000, pp:195- [Conf]
  2. Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina
    Visually Mining on Multiple Relational Tables at Once. [Citation Graph (0, 0)][DBLP]
    ADBIS Research Communications, 2002, pp:21-30 [Conf]
  3. André G. R. Balan, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
    Fractal Analysis of Image Textures for Indexing and Retrieval by Content. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:581-586 [Conf]
  4. Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
    How to Add Content-based Image Retrieval Capability in a PACS. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:321-326 [Conf]
  5. Myrian R. B. Araujo, Caetano Traina Jr., Agma J. M. Traina, Josiane M. Bueno, Humberto Luiz Razente
    Extending Relational atabases to Support Content-based Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:303-308 [Conf]
  6. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Retrieval by Content of Medical Images Using Texture for Tissue Identification. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:175-0 [Conf]
  7. Ives R. V. Pola, Agma J. M. Traina, Caetano Traina Jr.
    Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison Criteria. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:899-904 [Conf]
  8. Marcela Xavier Ribeiro, Joselene Marques, Agma J. M. Traina, Caetano Traina Jr.
    Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:887-892 [Conf]
  9. Agma J. M. Traina, André G. R. Balan, Luis M. Bortolotti, Caetano Traina Jr.
    Content-based Image Retrieval Using Approximate Shape of Objects. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:91-96 [Conf]
  10. Agma J. M. Traina, César A. B. Castañón, Caetano Traina Jr.
    MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:150-155 [Conf]
  11. Agma J. M. Traina, Joselene Marques, Caetano Traina Jr.
    Fighting the Semantic Gap on CBIR Systems through New Relevance Feedback Techniques. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:881-886 [Conf]
  12. Agma J. M. Traina, Afonso H. M. A. Prado, Josiane M. Bueno
    3D reconstruction of magnetic resonance imaging using largely spaced slices. [Citation Graph (0, 0)][DBLP]
    CBMS, 1997, pp:114-119 [Conf]
  13. Agma J. M. Traina, Natalia A. Rosa, Caetano Traina Jr.
    Integrating Images to Patient Electronic Medical Records through Content-Based Retrieval Techniques. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:163-168 [Conf]
  14. Caetano Traina Jr., Agma J. M. Traina, Josiel Maimoni de Figueiredo
    Including Conditional Operators in Content-Based Image Retrieval in Large Sets of Medical Exams. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:85-90 [Conf]
  15. Carlos R. Valencio, Mauricio N. Tronco, Ana C. Bonini-Domingos, Cláudia R. Bonini-Domingos, Caetano Traina Jr., Agma J. M. Traina
    Knowledge Extraction using Visualization of Hemoglobin Parameters to Identify Thalassemia. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:523-528 [Conf]
  16. Caetano Traina Jr., Agma J. M. Traina, Roberto F. Santos Filho, Christos Faloutsos
    How to improve the pruning ability of dynamic metric access methods. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:219-226 [Conf]
  17. Caetano Traina Jr., Agma J. M. Traina, Marcos R. Vieira, Adriano S. Arantes, Christos Faloutsos
    Efficient processing of complex similarity queries in RDBMS through query rewriting. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:4-13 [Conf]
  18. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Perceptual Distance Functions for Similarity Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CIVR, 2006, pp:432-442 [Conf]
  19. Caetano Traina Jr., Agma J. M. Traina, Bernhard Seeger, Christos Faloutsos
    Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes. [Citation Graph (0, 16)][DBLP]
    EDBT, 2000, pp:51-65 [Conf]
  20. Marisa Beck Figueiredo, Caetano Traina Jr., Agma J. M. Traina
    Content-Based Retrieval of Musical Scores in an Object-Oriented Database System. [Citation Graph (0, 0)][DBLP]
    IADT, 1998, pp:352-359 [Conf]
  21. Caetano Traina Jr., Agma J. M. Traina, Rildo R. dos Santos, Edna Y. Senzako
    A Tool for Content-Based Image Retrieval in Object-Oriented Databases. [Citation Graph (0, 0)][DBLP]
    IADT, 1998, pp:344-351 [Conf]
  22. Roberto F. Santos Filho, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
    Similarity Search without Tears: The OMNI Family of All-purpose Access Methods. [Citation Graph (0, 0)][DBLP]
    ICDE, 2001, pp:623-630 [Conf]
  23. Myrian R. B. Araujo, Agma J. M. Traina, Caetano Traina Jr.
    Extending SQL to Support Image Content-based Retrieval. [Citation Graph (0, 0)][DBLP]
    ISDB, 2002, pp:19-24 [Conf]
  24. Maria Camila Nardini Barioni, Elisângela Botelho, Christos Faloutsos, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    Data Visualization in RDBMS. [Citation Graph (0, 0)][DBLP]
    ISDB, 2002, pp:264-269 [Conf]
  25. Joaquim Cezar Felipe, Jonatas B. Olioti, Agma J. M. Traina, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Caetano Traina Jr.
    A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images. [Citation Graph (0, 0)][DBLP]
    ISM, 2005, pp:565-570 [Conf]
  26. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Global Warp Metric Distance: Boosting Content-based Image Retrieval through Histograms. [Citation Graph (0, 0)][DBLP]
    ISM, 2005, pp:295-302 [Conf]
  27. José Fernando Rodrigues Jr., Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.
    SuperGraph Visualization. [Citation Graph (0, 0)][DBLP]
    ISM, 2006, pp:227-234 [Conf]
  28. José Fernando Rodrigues Jr., Agma J. M. Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina Jr.
    Reviewing Data Visualization: an Analytical Taxonomical Study. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:713-720 [Conf]
  29. Jia-Yu Pan, André Guilherme, Ribeiro Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos
    Automatic mining of fruit fly embryo images. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:693-698 [Conf]
  30. Agma J. M. Traina, Caetano Traina Jr., Spiros Papadimitriou, Christos Faloutsos
    Tri-plots: scalable tools for multidimensional data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:184-193 [Conf]
  31. Renato Bueno, Agma J. M. Traina, Caetano Traina Jr.
    Accelerating approximate similarity queries using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:617-622 [Conf]
  32. Fabio Jun Takada Chino, Marcos R. Vieira, Agma J. M. Traina, Caetano Traina Jr.
    MAMView: a visual tool for exploring and understanding metric access methods. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:1218-1223 [Conf]
  33. Joaquim Cezar Felipe, Paulo M. Azevedo-Marques, André G. R. Balan, Caetano Traina Jr., Agma J. M. Traina
    Comparing images with distance functions based on attribute interaction. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:1398-1399 [Conf]
  34. Joaquim Cezar Felipe, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    Effective shape-based retrieval and classification of mammograms. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:250-255 [Conf]
  35. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    A new similarity measure for histograms applied to content-based retrieval of medical images. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:258-259 [Conf]
  36. Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
    Evaluating the intrinsic dimension of evolving data streams. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:643-648 [Conf]
  37. Caetano Traina Jr., Josiel Maimoni de Figueiredo, Agma J. M. Traina
    Image domain formalization for content-based image retrieval. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:604-609 [Conf]
  38. Caetano Traina Jr., Agma J. M. Traina, Rildo R. dos Santos, Edna Y. Senzako
    Support to content-based image query in object-oriented databases. [Citation Graph (0, 0)][DBLP]
    SAC, 1998, pp:241-247 [Conf]
  39. Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, Diogo Tuler Forlani, Agma J. M. Traina, Fernando da Fonseca de Souza
    Horizontal fragmentation as a technique to improve the performance of drill-down and roll-up queries. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:494-499 [Conf]
  40. Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    Biased box sampling - a density-biased sampling for clustering. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:445-446 [Conf]
  41. Gisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.
    An effective cost model for similarity queries in metric spaces. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:527-528 [Conf]
  42. Adriano S. Arantes, Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina
    Operadores de Seleção por Similaridade para Sistemas de Gerenciamento de Bases de Dados Relacionais. [Citation Graph (0, 0)][DBLP]
    SBBD, 2003, pp:341-355 [Conf]
  43. Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina
    Querying complex objects by similarity in SQL. [Citation Graph (0, 0)][DBLP]
    SBBD, 2005, pp:130-144 [Conf]
  44. Renato Bueno, Agma J. M. Traina, Caetano Traina Jr.
    Algoritmos Genéticos para Consultas por Similaridade Aproximadas. [Citation Graph (0, 0)][DBLP]
    SBBD, 2005, pp:190-204 [Conf]
  45. Humberto Luiz Razente, Fabio Jun Takada Chino, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.
    Visual Analysis of Feature Selection for Data Mining Processes. [Citation Graph (0, 0)][DBLP]
    SBBD, 2004, pp:33-47 [Conf]
  46. Agma J. M. Traina, Caetano Traina Jr., Elisângela Botelho, Maria Camila Nardini Barioni, Renato Bueno
    Visualização de Dados em Sistemas de Bases de Dados Relacionais. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:95-109 [Conf]
  47. Caetano Traina Jr., Agma J. M. Traina, Roberto F. Santos Filho
    Consultas por Similaridade em Dados Multimídia. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:6-7 [Conf]
  48. Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos
    Fast Feature Selection Using Fractal Dimension. [Citation Graph (0, 0)][DBLP]
    SBBD, 2000, pp:158-171 [Conf]
  49. Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Takada Chino, Agma J. M. Traina
    DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data. [Citation Graph (0, 0)][DBLP]
    SBBD, 2004, pp:163-177 [Conf]
  50. Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    An Efficient Approach to Scale up k-medoid based Algorithms in Large Databases. [Citation Graph (0, 0)][DBLP]
    SBBD, 2006, pp:265-279 [Conf]
  51. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Visualization Tree, Multiple Linked Analytical Decisions. [Citation Graph (0, 0)][DBLP]
    Smart Graphics, 2005, pp:65-76 [Conf]
  52. José Fernando Rodrigues Jr., César A. B. Castañón, Caetano Traina Jr., Agma J. M. Traina
    Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2003, pp:183-190 [Conf]
  53. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Frequency Plot and Relevance Plot to Enhance Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2003, pp:117-124 [Conf]
  54. Christos Faloutsos, Bernhard Seeger, Agma J. M. Traina, Caetano Traina Jr.
    Spatial Join Selectivity Using Power Laws. [Citation Graph (0, 29)][DBLP]
    SIGMOD Conference, 2000, pp:177-188 [Conf]
  55. Paulo M. Azevedo-Marques, Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno
    The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    VDB, 2002, pp:297-311 [Conf]
  56. Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    SIREN: A Similarity Retrieval Engine for Complex Data. [Citation Graph (0, 0)][DBLP]
    VLDB, 2006, pp:1155-1158 [Conf]
  57. José Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec
    GMine: A System for Scalable, Interactive Graph Visualization and Mining. [Citation Graph (0, 0)][DBLP]
    VLDB, 2006, pp:1195-1198 [Conf]
  58. Caetano Traina Jr., Agma J. M. Traina, Christos Faloutsos, Bernhard Seeger
    Fast Indexing and Visualization of Metric Data Sets using Slim-Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2002, v:14, n:2, pp:244-260 [Journal]
  59. Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno, Fabio Jun Takada Chino, Paulo M. Azevedo-Marques
    Efficient Content-Based Image Retrieval through Metric Histograms. [Citation Graph (0, 0)][DBLP]
    World Wide Web, 2003, v:6, n:2, pp:157-185 [Journal]
  60. Ives Rene Venturini Pola, Caetano Traina Jr., Agma J. M. Traina
    The MM-Tree: A Memory-Based Metric Tree Without Overlap Between Nodes. [Citation Graph (0, 0)][DBLP]
    ADBIS, 2007, pp:157-171 [Conf]
  61. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Enhanced visual evaluation of feature extractors for image mining. [Citation Graph (0, 0)][DBLP]
    AICCSA, 2005, pp:45- [Conf]
  62. André G. R. Balan, Agma J. M. Traina, Marcela Xavier Ribeiro, Paulo M. Azevedo-Marques, Caetano Traina Jr.
    HEAD: The Human Encephalon Automatic Delimiter. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:171-176 [Conf]
  63. Marcela Xavier Ribeiro, Agma J. M. Traina, André G. R. Balan, Caetano Traina Jr., Paulo M. Azevedo-Marques
    SuGAR: A Framework to Support Mammogram Diagnosis. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:47-52 [Conf]
  64. Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    A Density-Biased Sampling Technique to Improve Cluster Representativeness. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:366-373 [Conf]
  65. Gisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.
    MAMCost: Global and Local Estimates leading to Robust Cost Estimation of Similarity Queries. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:6- [Conf]
  66. Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina, Adriano S. Arantes, Christos Faloutsos
    Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:10- [Conf]
  67. Elaine P. M. de Sousa, Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos
    A fast and effective method to find correlations among attributes in databases. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:3, pp:367-407 [Journal]
  68. Caetano Traina Jr., Roberto F. Santos Filho, Agma J. M. Traina, Marcos R. Vieira, Christos Faloutsos
    The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient. [Citation Graph (0, 0)][DBLP]
    VLDB J., 2007, v:16, n:4, pp:483-505 [Journal]

  69. Content-based retrieval of medical images: From context to perception. [Citation Graph (, )][DBLP]


  70. Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. [Citation Graph (, )][DBLP]


  71. Unsupervised scaling of multi-descriptor similarity functions for medical image datasets. [Citation Graph (, )][DBLP]


  72. A novel optimization approach to efficiently process aggregate similarity queries in metric access methods. [Citation Graph (, )][DBLP]


  73. An efficient framework for similarity query optimization. [Citation Graph (, )][DBLP]


  74. Finding Clusters in subspaces of very large, multi-dimensional datasets. [Citation Graph (, )][DBLP]


  75. Metric Data Analysis Enhanced through Temporal Visualization. [Citation Graph (, )][DBLP]


  76. Employing Wavelet Transforms to Support Content-Based Retrieval of Medical Images. [Citation Graph (, )][DBLP]


  77. Aggregate similarity queries in relevance feedback methods for content-based image retrieval. [Citation Graph (, )][DBLP]


  78. Assessing the best integration between distance-function and image-feature to answer similarity queries. [Citation Graph (, )][DBLP]


  79. An algorithm for effective deletion and a new optimization technique for metric access methods. [Citation Graph (, )][DBLP]


  80. A new algorithm for data discretization and feature selection. [Citation Graph (, )][DBLP]


  81. CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data. [Citation Graph (, )][DBLP]


  82. Bulk-loading Dynamic Metric Access Methods. [Citation Graph (, )][DBLP]


  83. Constrained Aggregate Similarity Queries in Metric Spaces. [Citation Graph (, )][DBLP]


  84. Incorporating Metric Access Methods for Similarity Searching on Oracle Database. [Citation Graph (, )][DBLP]


  85. Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns. [Citation Graph (, )][DBLP]


  86. The Visual Expression Process: Bridging Vision and Data Visualization. [Citation Graph (, )][DBLP]


  87. Easing the Dimensionality Curse by Stretching Metric Spaces. [Citation Graph (, )][DBLP]


  88. Data pre-processing: a new algorithm for feature selection and data discretization. [Citation Graph (, )][DBLP]


  89. Identifying Algebraic Properties to Support Optimization of Unary Similarity Queries. [Citation Graph (, )][DBLP]


  90. Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. [Citation Graph (, )][DBLP]


Search in 0.004secs, Finished in 0.456secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002