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Caetano Traina

Observed names: C. Traina, C. Traina Junior, C.Jr. Traina, Caetano Jr Traina, Caetano Jr., Caetano Jr. Traina, Caetano T. Junior, Caetano Traina Jr, Caetano Traina Jr., Caetano Traina Junior, Caetano Traina Júnior, Caetano Traina, Jr, Caetano Traina, Jr., Caetano Traina-Jr, Caetano Traina-Jr., TRAINA JÚNIOR, C., Traina Caetano, Traina Jr., Caetano, Traina Junior, Caetano, Traina Júnior, Caetano, Traina, Caetano, Traina-Jr. Caetano, Traina-Jr., Caetano
ORCID: 0000-0002-6625-6047
Observed ORCID: 0000-0002-6625-6047
OpenAlex ID: A5020611078
Slim-Trees: High Performance Metric Trees Minimizing Overlap between Nodes
2000 · Caetano Traina, Agma Traina, et al. · Lecture notes in computer science · 297
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Fast indexing and visualization of metric data sets using slim-trees
2002 · C. Traina, A. Traina, et al. · IEEE Transactions on Knowledge and Data Engineering · 218
Fast feature selection using fractal dimension
2018 · Traina, Caetano, Traina, Agma, et al. · Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) · 192
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On query result diversification
2011 · Marcos R. Vieira, Humberto L. Razente, et al. · IEEE International Conference on Data Engineering (ICDE) · 168
Similarity search without tears: the OMNI-family of all-purpose access methods
2002 · R.F.S. Filho, A. Traina, et al. · IEEE International Conference on Data Engineering (ICDE) · 155
Clustering very large multi-dimensional datasets with MapReduce
2011 · Robson Leonardo Ferreira Cordeiro, Caetano Traina, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 148
The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient
2006 · Caetano Traina, Roberto F. Santos Filho, et al. · The VLDB Journal · 119
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Retrieval by content of medical images using texture for tissue identification
2003 · J.C. Felipe, A.J.M. Traina, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 117
Improving the ranking quality of medical image retrieval using a genetic feature selection method
2011 · Sérgio Francisco da Silva, Marcela Xavier Ribeiro, et al. · Decision Support Systems · 116
RSC
2015 · Alceu Ferraz Costa, Yuto Yamaguchi, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 85
Segmenting skin ulcers and measuring the wound area using deep convolutional networks
2020 · Daniel Y.T. Chino, Lucas C. Scabora, et al. · Computer Methods and Programs in Biomedicine · 77
Spatial join selectivity using power laws
2000 · Christos Faloutsos, Bernhard Seeger, et al. · ACM SIGMOD Record · 75
An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency
2008 · Marcela X. Ribeiro, Agma J. M. Traina, et al. · IEEE Transactions on Multimedia · 70
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
2004 · Marcos R. Vieira, Caetano Traina, et al. · Journal of Information and Data Management · 63
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A superpixel-driven deep learning approach for the analysis of dermatological wounds
2019 · Gustavo Blanco, Agma J.M. Traina, et al. · Computer Methods and Programs in Biomedicine · 54
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A fast and effective method to find correlations among attributes in databases
2007 · Elaine P. M. de Sousa, Caetano Traina, et al. · Data Mining and Knowledge Discovery · 52
Spatial join selectivity using power laws
2000 · Christos Faloutsos, Bernhard Seeger, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 51
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MultiWaveMed: a system for medical image retrieval through wavelets transformations
2003 · A.J.M. Traina, C.A.B. Castanon, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 49
How to improve the pruning ability of dynamic metric access methods
2002 · Caetano Traina, Agma Traina, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 48
Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques
2009 · Marcela X. Ribeiro, Pedro H. Bugatti, et al. · Data & Knowledge Engineering · 42
Mining Statistical Association Rules to Select the Most Relevant Medical Image Features
2008 · Marcela X. Ribeiro, Andre G. R. Balan, et al. · Studies in computational intelligence · 42
Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees
2005 · C. Traina, A.J.M. Traina, et al. · IEEE International Conference on Data Engineering (ICDE) · 42
Fractal Analysis of Image Textures for Indexing and Retrieval by Content
2005 · A.G.R. Balan, A.J.M. Traina, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 42
How to add content-based image retrieval capability in a PACS
2003 · J.M. Bueno, F. Chino, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 41
Assessing the best integration between distance-function and image-feature to answer similarity queries
2008 · Pedro H. Bugatti, Agma J. M. Traina, et al. · ACM Symposium on Applied Computing · 40
Works count: 399
Citation count: 5,072
H-index: 32
I10-index: 130
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