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Maria Camila Nardini Barioni

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affiliation: Universidade Federal de Uberlândia, Brazil

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2020 – today

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2023
[c34]
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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
[j12]
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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)
[j11]
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Mateus Curcino de Lima, Yan Stivaletti e Souza, Elaine R. Faria, Maria Camila Nardini Barioni:
A comprehensive analysis of the diverse aspects inherent to image data stream classification. Knowl. Inf. Syst. 64(8): 2215-2238 (2022)
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Brittany Wheeler, Seong Jung, Maria Camila Nardini Barioni, Monika Purohit, Deborah L. Hall, Yasin N. Silva:
#WashTheHate: Understanding the Prevalence of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic. ASONAM 2022: 484-491
[c32]
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Mateus Curcino de Lima, Elaine R. Faria, Maria Camila Nardini Barioni:
HubISC: um novo algoritmo baseado em hubness para a classificação de fluxo de dados de imagens. SBBD 2022: 138-150
[c31]
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Lara Mondini Martins, Cássio De Alcantara, Maria Camila Nardini Barioni, Luiz Carlos De Oliveira Júnior, Elaine Ribeiro de Faria:
A method for analysis of human temperament in contrast to social network data. WebMedia 2022: 19-27
2021
[j10]
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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)
[c30]
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Mateus Curcino de Lima, Alex J. S. de Abreu, Elaine R. Faria, Maria Camila Nardini Barioni:
Evaluating the Construction of Feature Descriptors in the Performance of the Image Data Stream Classification. CIARP 2021: 327-339
2020
[c29]
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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
[c28]
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Aabhaas Gupta, Wenxi Yang, Divya Sivakumar, Yasin N. Silva, Deborah L. Hall, Maria Camila Nardini Barioni:
Temporal Properties of Cyberbullying on Instagram. WWW (Companion Volume) 2020: 576-583

2010 – 2019

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2019
[j9]
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Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
StreamPref: a query language for temporal conditional preferences on data streams. J. Intell. Inf. Syst. 53(2): 329-360 (2019)
[c27]
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Jéssica N. B. de Farias, Maria Camila Nardini Barioni, Humberto Luiz Razende:
Explorando o uso de árvores B+ na Indexação de Dados por Similaridade. SBBD 2019: 163-168
[c26]
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Humberto Luiz Razente, Maria Camila Nardini Barioni:
Storing Data Once in M-tree and PM-tree. SISAP 2019: 18-31
2018
[j8]
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Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
Incremental evaluation of continuous preference queries. Inf. Sci. 453: 127-153 (2018)
[c25]
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Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
Finding Top-k Sequences over Data Streams According to Temporal Conditional Preferences. SBBD 2018: 73-84
[c24]
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Humberto Luiz Razente, Régis Michel dos Santos Sousa, Maria Camila Nardini Barioni:
Metric Indexing Assisted by Short-Term Memories. SISAP 2018: 107-121
[e1]
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Bernadette Farias Lóscio, Carina F. Dorneles, Maria Camila Nardini Barioni:
XXXIII Simpósio Brasileiro de Banco de Dados, SBBD 2018, Rio de Janeiro, RJ, Brazil, August 25-26, 2018. SBC 2018 [contents]
2017
[j7]
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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)
[c23]
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Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
Temporal Conditional Preference Queries on Streams. DEXA (1) 2017: 143-158
[c22]
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Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
Reasoning with Temporal Preferences over Data Streams. FLAIRS 2017: 700-705
[c21]
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Humberto Luiz Razente, Rafael L. Bernardes Lima, Maria Camila Nardini Barioni:
Similarity search through one-dimensional embeddings. SAC 2017: 874-879
[c20]
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Guilherme Alves, Maria Camila Nardini Barioni, Elaine R. Faria:
A Framework for Online Clustering Based on Evolving Semi-Supervision. SBBD 2017: 16-27
2016
[c19]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Diogo Stelle, Maria Camila Nardini Barioni, Luis P. B. Scott:
Using data mining to identify structural rules in proteins. Appl. Math. Comput. 218(5): 1997-2004 (2011)
[j3]
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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]
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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]
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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]
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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

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2009
[j2]
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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
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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]
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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]
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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]
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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
[b1]
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Maria Camila Nardini Barioni:
Similarity search operations in large complex databases. University of São Paulo, Brazil, 2006
[c7]
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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]
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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
[c5]
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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
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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
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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
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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
2001
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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. SBBD 2001: 95-109

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