Maria Camila Nardini Barioni

ORCID

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 25

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Luiz Razente, Maria Camila Nardini Barioni
Diversity Similarity Join for Big Data. SISAP (2023)
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)
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 (2022)
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) (2022)
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)
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)
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 (2021)
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)
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)
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)
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) (2019)
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)
Humberto Luiz Razente, Maria Camila Nardini Barioni
Storing Data Once in M-tree and PM-tree. SISAP (2019)
Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé
Incremental evaluation of continuous preference queries. Inf. Sci. 453 (2018)
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)
Humberto Luiz Razente, Régis Michel dos Santos Sousa, Maria Camila Nardini Barioni
Metric Indexing Assisted by Short-Term Memories. SISAP (2018)
Humberto Luiz Razente, Rafael L. Bernardes Lima, Maria Camila Nardini Barioni
Similarity search through one-dimensional embeddings. SAC (2017)
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) (2017)
Guilherme Alves, Maria Camila Nardini Barioni, Elaine R. Faria
A Framework for Online Clustering Based on Evolving Semi-Supervision. SBBD (2017)
Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé
Temporal Conditional Preference Queries on Streams. DEXA (1) (2017)
Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé
Reasoning with Temporal Preferences over Data Streams. FLAIRS Conference (2017)
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)
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)
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)
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)
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) (2014)
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) (2014)
Jéssica Andressa de Souza, Humberto Luiz Razente, Maria Camila Nardini Barioni
Faster construction of ball-partitioning-based metric access methods. SAC (2013)
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)
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)
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) (2011)
Diogo Stelle, Maria Camila Nardini Barioni, Luis P. B. Scott
Using data mining to identify structural rules in proteins. Appl. Math. Comput. 218 (5) (2011)
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)
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)
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) (2009)
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) (2008)
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)
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)
Humberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.
Constrained Aggregate Similarity Queries in Metric Spaces. SBBD (2007)
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)
Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
SIREN: A Similarity Retrieval Engine for Complex Data. VLDB (2006)
Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina
Querying complex objects by similarity in SQL. SBBD (2005)
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)
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)
Maria Camila Nardini Barioni, Elisângela Botelho, Christos Faloutsos, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
Data Visualization in RDBMS. ISDB (2002)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maria Camila Nardini Barioni