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ORCIDHumberto Luiz Razente
Person information
- affiliation: Universidade Federal de Uberlândia, Brazil
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2020 – today
- 2023
[c27]Frederico R. Rosa, Felipe A. Louza, Humberto Luiz Razente:
Vetor de sufixos métrico compacto. SBBD 2023: 414-419- [c26]Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Luiz Razente
, Maria Camila Nardini Barioni:
Diversity Similarity Join for Big Data. SISAP 2023: 238-252 - 2022
- [j9]Humberto Luiz Razente, Maria Camila Nardini Barioni, Yasin N. Silva:
Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods. Inf. Syst. 104: 101896 (2022) - [c25]Yasin N. Silva, Alexis Loza, Humberto Luiz Razente:
DBSnap-Eval: Identifying Database Query Construction Patterns. ITiCSE (1) 2022: 131-137 - [c24]Yasin N. Silva, Alexis Loza, Humberto Luiz Razente:
DBSnap 2: New Features to Construct Database Queries by Snapping Blocks. ITiCSE (2) 2022: 601-602 - 2021
- [j8]Humberto Luiz Razente, Maria Camila Nardini Barioni, Régis Michel dos Santos Sousa:
A comprehensive analysis of delayed insertions in metric access methods. Inf. Syst. 95: 101492 (2021) - 2020
- [c23]Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente:
EVISClass: a new evaluation method for image data stream classifiers. ICMLA 2020: 399-406
2010 – 2019
- 2019
- [c22]Humberto Luiz Razente, Maria Camila Nardini Barioni:
Storing Data Once in M-tree and PM-tree. SISAP 2019: 18-31 - 2018
- [c21]Humberto Luiz Razente, Régis Michel dos Santos Sousa, Maria Camila Nardini Barioni:
Metric Indexing Assisted by Short-Term Memories. SISAP 2018: 107-121 - 2017
- [j7]Mateus Curcino de Lima, Maria Camila Nardini Barioni, Humberto Luiz Razente:
Combining Semi-supervision and Hubness to Enhance High-dimensional Data Clustering. J. Inf. Data Manag. 8(3): 223-241 (2017) - [c20]Humberto Luiz Razente, Rafael L. Bernardes Lima, Maria Camila Nardini Barioni:
Similarity search through one-dimensional embeddings. SAC 2017: 874-879 - 2016
- [c19]Mateus Curcino de Lima, Maria Camila Nardini Barioni, Humberto Luiz Razente:
Combinando semi-supervisão e hubness para aprimorar o agrupamento de dados em alta dimensão. SBBD 2016: 139-144 - [c18]Régis Michel dos Santos Sousa, Humberto Luiz Razente, Maria Camila Nardini Barioni:
Explorando o Uso de Short-term Memory na Construção de Métodos de Acesso Métricos Mais Eficientes. SBBD 2016: 163-168 - [c17]Rodolfo M. S. Mendes, Humberto Luiz Razente, Maria Camila Nardini Barioni, Luciana Alvim Santos Romani:
Impacto da amostragem aleatória uniforme para o aumento da escalabilidade na geração de agrupamentos hierárquicos de séries espaço-temporais. SBBD 2016: 193-198 - 2015
- [c16]Walter J. Silva, Maria Camila Nardini Barioni, Sandra de Amo, Humberto Luiz Razente:
Semi-supervised clustering using multi-assistant-prototypes to represent each cluster. SAC 2015: 831-836 - 2014
- [j6]Jéssica Andressa de Souza, Humberto Luiz Razente, Maria Camila Nardini Barioni:
Optimizing metric access methods for querying and mining complex data types. J. Braz. Comput. Soc. 20(1): 17:1-17:14 (2014) - [j5]Maria Camila Nardini Barioni, Humberto Luiz Razente, Alessandra M. R. Marcelino, Agma J. M. Traina, Caetano Traina Jr.:
Open issues for partitioning clustering methods: an overview. WIREs Data Mining Knowl. Discov. 4(3): 161-177 (2014) - 2013
- [c15]Jéssica Andressa de Souza, Humberto Luiz Razente, Maria Camila Nardini Barioni:
Faster construction of ball-partitioning-based metric access methods. SAC 2013: 8-12 - 2012
- [c14]Jéssica Andressa de Souza, Humberto Luiz Razente, Maria Camila Nardini Barioni:
Novas políticas de divisão de nós para a Slim-tree. SBBD (Short Papers) 2012: 97-104 - 2011
- [j4]Marcos R. Vieira, Humberto Luiz Razente, Maria Camila Nardini Barioni, Marios Hadjieleftheriou, Divesh Srivastava, Caetano Traina Jr., Vassilis J. Tsotras:
DivDB: A System for Diversifying Query Results. Proc. VLDB Endow. 4(12): 1395-1398 (2011) - [c13]Marcos R. Vieira, Humberto Luiz Razente, Maria Camila Nardini Barioni, Marios Hadjieleftheriou, Divesh Srivastava, Caetano Traina Jr., Vassilis J. Tsotras:
On query result diversification. ICDE 2011: 1163-1174 - [c12]Renato Bueno, Daniel S. Kaster, Humberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.:
Using Visual Analysis to Weight Multiple Signatures to Discriminate Complex Data. IV 2011: 282-287 - 2010
- [c11]Renato Bueno, Humberto Luiz Razente, Daniel S. Kaster, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.:
Metric Data Analysis Enhanced through Temporal Visualization. IV 2010: 116-121
2000 – 2009
- 2009
- [b1]Humberto Luiz Razente:
Reducing the semantic gap content-based image retrieval with similarity queries. University of São Paulo, Brazil, 2009 - [j3]Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma Juci Machado Traina, Caetano Traina Jr.:
Seamlessly integrating similarity queries in SQL. Softw. Pract. Exp. 39(4): 355-384 (2009) - 2008
- [j2]Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma Juci Machado Traina, Caetano Traina Jr.:
Accelerating k-medoid-based algorithms through metric access methods. J. Syst. Softw. 81(3): 343-355 (2008) - [c10]Humberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.:
A novel optimization approach to efficiently process aggregate similarity queries in metric access methods. CIKM 2008: 193-202 - [c9]Humberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.:
Aggregate similarity queries in relevance feedback methods for content-based image retrieval. SAC 2008: 869-874 - 2007
- [c8]Humberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.:
Constrained Aggregate Similarity Queries in Metric Spaces. SBBD 2007: 145-159 - 2006
- [c7]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. SBBD 2006: 265-279 - [c6]Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.:
SIREN: A Similarity Retrieval Engine for Complex Data. VLDB 2006: 1155-1158 - 2005
- [j1]Caetano Traina Jr., Agma J. M. Traina, Myrian R. B. Araujo, Josiane Maria Bueno, Fabio Jun Takada Chino, Humberto Luiz Razente, Paulo M. Azevedo-Marques:
Using an image-extended relational database to support content-based image retrieval in a PACS. Comput. Methods Programs Biomed. 80(Supplement-1): S71-S83 (2005) - [c5]Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina:
Querying complex objects by similarity in SQL. SBBD 2005: 130-144 - 2004
- [c4]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. SBBD 2004: 33-47 - 2002
- [c3]Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina:
Visually Mining on Multiple Relational Tables at Once. ADBIS Research Communications 2002: 21-30 - [c2]Myrian R. B. Araujo, Caetano Traina Jr., Agma J. M. Traina, Josiane Maria Bueno, Humberto Luiz Razente:
Extending Relational atabases to Support Content-based Retrieval of Medical Images. CBMS 2002: 303-308 - [c1]Maria Camila Nardini Barioni, Elisângela Botelho, Christos Faloutsos, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.:
Data Visualization in RDBMS. ISDB 2002: 264-269
Coauthor Index
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